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15 Out-of-Hospital Cardiac Arrest (OHCA)
in Rhode Island: Can We Do Better?
Nicholas Asselin, DO, MS
Kenneth Williams, MD, FACEP, FAEMS
Guest Editors
N. Asselin, DO
K. Williams, MD
17 Data Utilization in Emergency
Medical Services
Jason Rhodes, MPA, AEMT-C;
Kenneth Williams, MD, FACEP, FAEMS
J. Lauro, MD
On the cover: Members of
the Cumberland Fire and Police
Departments assist Cumberland EMS paramedics and
physicians during a simulated
out-of-hospital cardiac arrest.
[P h oto : J o h n P l i a k a s ]
20 A History and Overview of Telecommunicator
Cardiopulmonary Resuscitation (T-CPR)
Heather Rybasack-Smith, MD, MPH; Joseph Lauro, MD, FACEP
H. Rybasack-Smith, MD
B. Choi, MD
23 Comparison of EMS Provider In-Transit Performance
and Exertion with Standard and Experimental Resuscitation
Protocols during Simulated Out-of-Hospital Cardiac Arrest
Leo Kobayashi, MD; Nicholas Asselin, DO, MS; Bryan Choi, MD, MPH;
Max Dannecker, NREMT; Kenneth Williams, MD, FACEP, FAEMS
L. Kobayashi, MD
J. Thorndike, MD
30 Pilot Study of the Effect of a Protocol of 30 Minutes of Scene Care
in Out-of-Hospital Cardiac Arrest in Rhode Island
Jonathan Thorndike, MD; Carlin Chuck, NREMT;
Janette Baird, PhD; Nicholas Asselin, DO, MS
J. Baird, PhD
34 Case Report: Intact Survival Following Prolonged
Out-of-Hospital Cardiac Arrest Care
Joseph Lauro, MD, FACEP; David Lindquist, MD;
D. Lindquist, MD
Evan Katz, EMT-C; Nicholas Asselin, DO, MS
36 Pediatric Out-of-Hospital Cardiac Arrest in Rhode Island:
Concepts and Controversies
T. Sutcliffe, MD
Tanya Sutcliffe, MD; Nicholas Asselin, DO, MS;
Linda Brown, MD, MSCE
L. Brown, MD
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Clinical Practice Guidelines:
‘To Treat, or Not to Treat,
That is the Question’
Kenneth S. Korr, MD, FACC
The Edwin Smith Papyrus:
Earliest CPG buried for 3,000
years in Egyptian tomb
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60 Community Physician Partners
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68 Obituary
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40 HEALTH BY N U MBERS
Cancers Associated with Overweight or Obesity
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Junhie Oh, BDS, MPH; C. Kelly Smith, MSW
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C ommentary
Clinical Practice Guidelines:
‘To Treat, or Not to Treat, That is the Question’
Kenneth S. Korr, MD, FACC
H
identify and describe
generally recommended
courses of intervention,
they are not presented
as a substitute for physician judgement in the
treatment of an individual patient.
The rationale behind
current CPGs correlates
to the increasing difficulty to stay current with
the volume of medical
literature and the rapidly
expanding knowledge bases related to
healthcare. The number of randomized controlled trials (RCTs) published
in MEDLINE grew from 5,000 per year
from 1978–1985 to 25,000 per year
from 1994–2001.2 Furthermore, much
of the RCT literature is focused on
individual subsets of target populations which may not be reflective of
broader clinical settings and thus are
difficult to apply in daily practice. As
a consequence, critically appraised
and synthesized scientific evidence
has become a valuable tool of modern
clinical practice.
e at h c a r e p r o v i d e r s
are assailed with a
steady flow of “new and
improved” clinical practice guidelines (CPGs)
designed to impact the
quality of patient care
but which can be confusing, conflicting, difficult to apply in patient
settings and challenging to gain physician
acceptance and patient
adherence. Nowhere is
this more prevalent and complex than
in the arena of cardiovascular disease
where the combined American College of Cardiology and American Heart
Association (ACC/AHA) have 26 current guidelines (averaging 121 recommendations/guideline), including the
management of blood pressure (BP) and
elevated blood cholesterol, impacting
not just cardiologists but internists,
family medicine physicians, endocrinologists, pediatricians and other primary care providers.
According to the Institute of Medicine, “Clinical practice guidelines are
systematically developed statements
to assist practitioner and patient decisions about appropriate healthcare
for specific clinical circumstances.”1
Commonly issued by subspecialty
organizations like the ACC and the
AHA, CPGs define the role of specific
diagnostic and treatment modalities
and contain recommendations based
on a systematic review and synthesis of the published medical literature
and an assessment of relative risks and
benefits. Guidelines are suggestions,
not rules, intended to help clinicians
take better care of patients. While they
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Levels of Evidence (LOEs)
Most CPGs rely heavily on RCTs’
results to validate and support their
recommendations and employ levels
of evidence (LOE) to support particular guideline recommendations. Three
well-defined LOEs are commonly utilized in CPGs: LOE A, supported by
data from multiple RCTs or a single,
large RCT; LOE B, supported by data
from observational studies or a single
RCT; and LOE C, supported by expert
opinion only. Across the 26 current
ACC/AHA guidelines, only 8.5% of
RI M S
May 2019
the recommendations were classified
as LOE A, while 50% were LOE B,
and 41.5% were LOE C. Thus, among
recommendations in major cardiovascular society guidelines, only a
small percentage were supported by
evidence from multiple RCTs or a
single, large RCT.3 Nevertheless, this
represents the best current available
evidence from which to base guideline
recommendations.
Evolving Guidelines
CPGs are not meant to be static documents and evolve over time as new
scientific knowledge is acquired. One
of the most striking examples of this
comes from review of 50 years of AHA
guidelines for the prevention of infective endocarditis (IE).4 The earliest
guidelines were complicated, difficult
to remember, ambiguous, and inconsistent. Reflective of the times, they
had an overemphasis on antibiotic prophylaxis based predominately on case
reports, limited data and expert opinion. Over the course of 50 years, however, the recognition that there were
no RCTs demonstrating an increased
incidence of IE following dental or
other (GI, GU) procedures and more
importantly no demonstrable benefit
from antibiotic prophylaxis in actually reducing the incidence of IE, have
changed the guidelines considerably.
Antibiotic prophylaxis is no longer recommended for dental and other procedures, nor for the majority of patients
including those with mitral valve prolapse, congenital heart disease or rheumatic valve disease. Current guidelines
stress the importance of regular dental
hygiene for the majority of the population and limit use of prophylactic
Rhode island medical journal
8
C ommentary
decreased when the lower cutoff was
used.
The American Academy of Family Practice (AAFP) and the American
College of Physicians (ACP) were not
involved in the development of these
guidelines and based on a review of
the scientific merits elected not to
endorse them. Instead, these groups
continue to follow the 2014 Eighth
Joint National Committee (JNC-8)
guidelines on managing hypertension
in adults,6 which calls for treatment to
lower BP to 150/90 mm Hg in those age
60 and older, and to 140/90 for adults
less than 60. In patients with diabetes
and chronic kidney disease (CKD), the
guidelines recommend initiating drug
treatment to a goal of <140/90mmHg.
The AAFP and ACP did acknowledge
that there might be a small benefit of
lower treatment targets in reducing cardiovascular events and recommended
treatment for some patients as part of a
shared decision-making process.
antibiotics to a small subset of patients
with the highest risk of adverse outcomes from IE (complex congenital
heart disease, prosthetic heart valves
and prior IE).
Conflicting Guidelines
(RC), it was designed for individuals
aged 40–75 years of age, with or without
diabetes, with an LDL-C between 70
and 189 mg%, not on statin therapy. It
is based upon 8 data elements including
age, gender, systolic BP, Total and HDL
cholesterol, active treatment of HTN
and/or DM and current smoking. Individuals with an estimated 10-year risk
of >7.5% were recommended to receive
moderate to high intensity statin therapy. The 7.5 % value was deemed to
be a moderately elevated risk although
earlier risk calculator models defined
10-20% as moderate risk and >20% as
high risk. The RC continues to be an
important element in the updated 2018
ACC/AHA Cholesterol Management
Guidelines as well as in the 2017 ACC/
AHA Blood Pressure Guidelines (where
a risk level of 10% instead of 7.5% is
deemed moderate risk).
Use of the RC has markedly increased the pool of potential individuals who would require therapy and
has sparked considerable controversy
and debate as to its ability to accurately predict risk. The RC is heavily
driven by age and gender such that men
65 and older and women 70 and older
almost always fall into a moderate risk
category (Figure 1). In addition, the RC
does not include key information such
as history of ASCVD events, family
history of premature coronary artery
disease or stroke, diet and activity level
(healthy lifestyle), BMI and other elements that physicians routinely take
Occasionally, differing societal guidelines conflict and while these differences are typically minor, they can lead
to substantial confusion for providers.
This is most evident in the controversy
surrounding recent BP guidelines. In
2017, the ACC/AHA published new
guidelines for the management of high
blood pressure5 which contained much
valuable information regarding best
practices for measuring BP, the relevance of home BP monitoring and the
important role of diet and exercise as
first-line therapy for hypertension. Perhaps most striking however, the recommendations redefined hypertension
as a BP of 130/80 mm Hg or greater.
Underpinning this guideline was the
belief that achieving this target BP
would lower a person’s risk of CVD
Cholesterol Management Guidelines
events, including the large group of
and the Risk Calculator
adults younger than 75 years who are
In 2013, the ACC/AHA published
at low to moderate risk of CVD. Nine
Guidelines for the Management of
trials contributed to the ACC/AHA
Blood Cholesterol7 which, among other
meta-analysis on which the guideline
recommendations, included use of a
was based. Trials selectively enrolled
Pooled Cohort Risk Equation to estipersons at high risk of cardiovascular
mate 10-year risk of ASCVD events and
disease, with follow-up ranging from 2
provide a guide for who should receive
statin therapy and at what level (low,
to 5.7 years. No statistically significant
moderate or high intensity). Commonly
benefit was found for all-cause morreferred to as the CV Risk Calculator
tality, CVD mortality, heart failure, or
Estimated 10-year ASCVD Risk for a Patient with a BP of 120/75, Total Cholesterol of
renal events when the
and 10-year
HDL-CASCVD
55mg%,
Not
Diabetic,
andCholesterol
Not on Statin
Therapy
150 mg%
Figure
1. Estimated
Risk for
a Patient
with aNonsmoker
BP of 120/75, Total
of 150 mg%
and HDL-C
lower BP cutoff was
55mg%, Not Diabetic, Nonsmoker and Not on Statin Therapy
used, and the difference
for fatal or nonfatal
AGE
Male
Recommendations Female
Recommendations
myocardial infarction
No indication for Statin
No indication for Statin
50
1.9%
0.7%
was borderline nonsigNo indication for Statin
No indication for Statin
55
3.3%
1.3%
nificant. Only composite major CVD events
(6.2% vs. 7.3%; RR =
0.84; number needed to
treat = 91) and the combination of fatal and
nonfatal stroke (2.4% vs.
2.9%; RR= 0.82; number needed to treat =
200) were significantly
RI M J
Archives
May
5.5%
No indication for Statin
2.3%
No indication for Statin
65
8.9%
Moderate to High Dose
Statin Therapy
4.2%
No indication for Statin
70
13.6%
Moderate to High Dose
Statin Therapy
7.7%
Moderate to High Dose
Statin Therapy
75
19.9%
Moderate to High Dose
Statin Therapy
13.9%
Moderate to High Dose
Statin Therapy
79
26.2%
Consider Moderate Dose
Statin Therapy
21.9%
Consider Moderate Dose
Statin Therapy
60
*ACC/AHA Pooled Cohort Risk Equation and estimated 10-yr. risk of ASCVD events.
ISSUE
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Rhode island medical journal
9
C ommentary
of patient age, there was less direct evidence of the benefits of statin therapy
for patients >75 years old who did not
already show evidence of occlusive vascular disease. Thus, while the evidence
supports the use of statin therapy in
older people considered to have a sufficiently high risk of occlusive vascular
events, “there is less definitive direct
evidence of benefit in the primary prevention setting among patients older
into account when assessing risk and
recommending treatment. In 2013, the
Kaiser Permanente health group compared the observed risk of ASCVD to
the RC predicted risk in a large pool of
their patients.8 Among 307,591 eligible
adults without diabetes between 40
and 75 years of age, there were 2,061
ASCVD events during 1,515,142 person-years. The observed 5-year ASCVD
risk was substantially lower than the
predicted risk, sometimes by as much
as 50% lower risk. Thus, in this large,
contemporary “real-world” population,
the ACC/AHA Pooled Cohort Risk
Equation substantially overestimated
actual 5-year risk in adults without diabetes, overall and across various sociodemographic subgroups. For patients
with DM, the observed and predict risk
was more closely correlated.
than 75 years.”9 The importance of
shared decision making in informing
patients and gaining their acceptance
cannot be overstated.
Barriers to Physician and
Patient Acceptance of
CPG Recommendations
Physician adoption and patient adherence to CPGs can be challenging and
numerous barriers exist.10 There are
The Edwin Smith Papyrus
New York Academy of Medicine collection/Wikipedia
‘To Treat, or Not to Treat’
It is fairly well accepted that patients
with hypertension, DM and/or a history of vascular events should be on
aspirin, statin and antihypertensive
therapy. But when considering primary
prevention, the RC can be a source of
confusion for clinicians and their otherwise healthy and older (> 65) patients
with no or little evidence of significant vascular disease. In our hypothetical patient from Figure 1 with
normal BP and an unremarkable lipid
profile, the predicted CV risk for men
doubled between the ages of 65 and 75
years and for women it almost doubled
every 5 years, all other elements being
equal. In the absence of other risk factors we are left in a quandary whether
to initiate statin therapy, especially
when the patient is reluctant. A recent
meta-analysis of all large statin trials
(those recruiting at least 1,000 participants with a treatment duration >2
years) evaluated the effects of statin
therapy on major vascular events and
cause-specific mortality for 6 subdivided age groups: >75 years, 71–75
years, 66–70 years, 61-65 years, 56–60
years, and ≤55 years.9 Although statin
therapy significantly reduced the number of major vascular events regardless
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Earliest CPG buried for 3,000 years in Egyptian tomb
Clinical practice guidelines (CPGs) are not new and have been around since the beginning
of recorded time. The earliest reported medical guidelines, the Edwin Smith Papyrus, written in Egypt c.1600 BC, a surgical treatise, describes in great detail the clinical findings,
diagnosis, treatment and prognosis of some 48 different ailments.
The Papyrus was brought to light by Egyptologist Edwin Smith of Connecticut, who
purchased the scroll while in Egypt in 1862. It lay buried in a Thebes tomb for 3,000 years.
After his death in 1906, the scroll was donated to The New York Historical Society by his
daughter. It was translated in 1930 by Egyptologist James Henry, along with the medical
interpretation prepared by Chicago physician Dr. Arno Luckhardt.
The Papyrus is now at the New York Academy of Medicine, and can be viewed online,
with an updated translation, in an interactive scroll at the National Library of Medicine
(NLM) website: https://ceb.nlm.nih.gov/proj/ttp/Nash/smith/smith.html
In the introduction to the archival material, NLM Director Donald A.B. Lindberg, MD,
said, “The Smith Papyrus is extremely important because it showed for the first time that
Egyptians had a scientific understanding of traumatic injuries based on observable anatomy
rather than relying on magic or potions.”
RI M S
May 2019
Rhode island medical journal
10
C ommentary
provider barriers which include lack of
awareness or lack of familiarity with
current guidelines. The recent ACC/
AHA blood pressure guidelines include
more than 700 pages; an encyclopedic
reference but difficult for any clinician
to wade through. Lack of agreement
with specific recommendations and
lack of outcome expectancy (whether
the recommendation will lead to an
improved outcome) are underscored
by the controversies surrounding the
ACC/AHA BP and cholesterol guidelines and the RC. Guideline-related
barriers also occur when they are perceived as inconvenient and not easy
to use. Elimination of an established
behavior may be more difficult to follow than guidelines that recommend
adding a new behavior (such as recent
ACC/AHA guidelines which no longer recommend aspirin for primary
prevention). External barriers include
time limitations (during a routine
office visit), lack of a reminder system and lack of other office and hospital-based resources and facilities.
Finally, and perhaps most limiting
of all, are patient-related barriers to
guideline acceptance including pharmaceutical cost and insurance coverage. Among the more challenging
barriers are patient resistance to medications in general and statins in particular, frequently based on real and
perceived concerns regarding side
effects. In addition, intermediate and
long-term adherence to statin therapy can be surprisingly low. Women,
younger patients and minorities tend
to have lower adherence rates. Poor
adherence to statin therapy also cuts
across different degrees of cardiovascular risk. In one study, two-year adherence was 40.1% for patients prescribed
a statin after an acute coronary event
and 25.4% in patients being treated for
primary prevention.11
emerging new technologies and pharmacotherapies. As Dr. Harlan Krumholz stated,12 “CPGs should inform
and not dictate, guide not enforce,
support not restrict. They can provide
options and recommendations to improve quality of care and can highlight
points of uncertainty. But they should
not reduce physicians to automatons
and patients to passive recipients of
guideline dictums. The idea of there
being a ‘right answer’ has entangled
guidelines in controversy rather than
focusing on providing recommendations and promoting choice. There
will always be opinions about how to
interpret the evidence, whether to recommend therapy based on risk, but it
may feel differently if the guideline is
not assumed to impose practice.” v
Conclusion
Author
CPGs provide a synthesis of the best
and most currently available data, in
spite of their apparent limitations.
ACC/AHA CV guidelines are complex
and at times controversial in a rapidly
changing scientific environment with
Kenneth S. Korr, MD, FACC, Associate
Professor of Medicine Emeritus, Alpert
Medical School of Brown University.
Correspondence
Kskorr1@gmail.com
References
1. Consensus report, Institute of Medicine. Clinical practice guidelines we can trust. March 23, 2011. http://www.iom.edu/Reports/2011/Clinical-Practice-Guidelines-We-Can-Trust.aspx
2. Laine C, Taichman DB, Mulrow C. Trustworthy clinical guidelines. Ann Intern Med. 2011; 154:774.
3. Fanaroff AC, Califf RM, Windecker S, Smith SC Jr, Lopes RD.
Levels of Evidence Supporting American College of Cardiology/
American Heart Association and European Society of Cardiology
Guidelines, 2008-2018. JAMA. 2019 Mar 19;321(11):1069-1080.
doi: 10.1001/jama.2019.1122.
4. Wilson WR, Taubert KA, Gewitz M, Lockhart PB, Baddour LM,
Levison M. Prevention of infective endocarditis. Guidelines from
the American Heart Association. A guideline from the American
Heart Association Rheumatic Fever, Endocarditis, and Kawasaki
Disease Committee, Council on Cardiovascular Disease in the
Young, and the Council on Clinical Cardiology, Council on Cardiovascular Surgery and Anesthesia, and the Quality of Care and
Outcomes Research Interdisciplinary Working Group. Circulation. 2007;116:1736-1354.
5. The 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/
NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A
Report of the American College of Cardiology/American Heart
Association Task Force on Clinical Practice Guidelines. (2017
Hypertension Clinical Practice Guidelines), November 13, 2017.
6. James PA, Oparil S, Carter BL, et al. Evidence-based guideline
for the management of high blood pressure in adults: Report
from the panel members appointed to the Eighth Joint National
Committee. JAMA. 2014; DOI:10.1001/jama.2013.284427.
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ISSUE
Webpage
RI M S
7. 2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults. A
Report of the American College of Cardiology/American Heart
Association Task Force on Practice Guidelines. Circulation. Nov
2013;129:S1–S45.
8. Jamal S. Rana, Grace H. Tabada, Matthew D. Solomon, Joan C.
Lo, Marc G. Jaffe, Sue Hee Sung, Christie M. Ballantyne, Alan S.
Go. Accuracy of the Atherosclerotic Cardiovascular Risk Equation in a Large Contemporary, Multiethnic Population. Journal
of the American College of Cardiology. Volume 67, Issue 18,
May 2016. DOI: 10.1016/j.jacc.2016.02.055.
9. Cholesterol Treatment Trialists’ Collaboration. Efficacy and
safety of statin therapy in older people: a meta-analysis of individual participant data from 28 randomised controlled trials.
Lancet. 2019;393(10170):407-415.
10. Michael D. Cabana, Cynthia S. Rand, Neil R. Powe, et al. A
Framework for Improvement: Why Don’t Physicians Follow
Clinical Practice Guidelines? JAMA.ama-assn.org/cgi/content/full/282/15/1458; 1999;282(15):1458-1465 (doi:10.1001/
jama.282.15.1458).
11. Jackevicius CA, Mamdani M, Tu JV. Adherence with statin therapy in elderly patients with and without acute coronary syndromes. JAMA. 288:462–467, 2002.
12. Harlan M. Krumholz. The New Cholesterol and Blood Pressure
Guidelines: Perspective on the Path Forward. JAMA. 2014 Apr
9;311(14):1403–1405.
May 2019
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C ommentary
Care New England - Brigham health deal will benefit Rhode Island’s
health care system
This opinion editorial is signed by Care New England Board Chairman Charles Reppucci; Maribeth Williamson and Gary
Furtado, Vice Chairpersons; Douglas Jacobs, Treasurer; James Botvin, Secretary; Joseph McGair, Cynthia Patterson, Mario Bueno,
Sharon Conard-Wells, Kent Gladding, William Kapos, Patrick Murray, Christina Paxson, George Schuster, James Fanale, MD,
President and CEO; Kevin Baill, MD; Jason Boudjouk, MD; Tolga Kokturk, MD.
The proposed acquisition of Care New
immediately accessible to our commu-
Also, of note is that there are already
England by Boston’s Brigham Health
nity. Not to be ignored, however, is the
three out-of-state health care systems
will enhance Rhode Islanders’ quality
financial strength of the Partners sys-
operating in Rhode Island. The Yale
of care and provide easier, affordable
tem, which will lower borrowing costs
– New Haven System with Westerly
access to health care in Rhode Island,
and provide needed access to capital to
Hospital, Prospect – Charter Care own-
and will have a significant influence on
renovate our existing facilities and build
ing St Joseph and Fatima hospitals and
our state’s economy.
new, easily accessible patient centered
Prime Healthcare owning Landmark in
Woonsocket.
We are very proud of the many fine
facilities for those requiring less than
local hospitals, doctors and other
inpatient hospital care. New capital
The focus of remaining regulatory
clinicians Rhode Islanders have as a
will provide the means to purchase
review of Care New England’s proposed
resource for health care. The principal
technologically advanced software and
acquisition should be on the merits of
benefit of the proposed acquisition is
cutting-edge medical equipment.
the transaction and the benefits that
the ability to keep patients close to
Hospital costs in the proposed acqui-
will be achieved by expanding CNE’s
home, as evidenced by the Kent Hospi-
sition would remain completely subject
relationship with Brigham Health. The
tal - Brigham cardiology and colorectal
to negotiations with Rhode Island health
primary questions important to the
surgery partnership.
insurers as well as the regulatory over-
citizens of this great state are: Does
The premise of the CNE-Brigham
sight of the RI Office of Health Insur-
this merger improve the quality and
affiliation is to import an enhanced
ance Commissioner (OHIC). Medical
access to health care in Rhode Island?
level of health care to Rhode Island.
decisions in Rhode Island are currently
The answer is an unequivocal yes. Will
Brigham Health ranks at the top of the
and will continue to be made by physi-
there be any negative impact on the
list in regional and national performance
cians licensed in Rhode Island. This is
affordability of care in Rhode Island?
metrics, in health care as well as in
not only good medicine, it is required
The answer is clearly no.
medical education and research. Excel-
by law.
We, the Care New England Board of
lence in these spheres translates into
The Care New England - Brigham
Directors, believe the proposed acquisi-
cutting-edge clinical services and new
affiliation will safeguard medical edu-
tion of Care New England by Boston’s
medical technology being available to
cation in Rhode Island. The Brown
Brigham Health will support high-qual-
those who reside within Rhode Island.
University Program in Medicine has
ity, affordable and accessible care for
A major part of what Brigham Health
recently renegotiated a new three-way
Rhode Islanders and benefit our state
will bring to Rhode Island is an infu-
partnership agreement with Care New
economy. v
sion of medical talent that would be
England and the Brigham.
[Editor’s note: See earlier statements
from Lifespan, CNE, Brown, In the
News, page 52]
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May 2019
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RIMJ A ROUND THE WO R LD
We are read everywhere
RIMJ reaches a worldwide audience. In
2019 so far, readers viewed 10,500 pages
of the Journal from 84 countries; the top
10 readership locales were:
1. US
2. UK
3. Canada
4. Australia
5. Spain
6. India
7. Germany
8. France
9. Brazil
10. Italy
BUDAPEST, HUNGARY
Wherever you may be, or wherever your
Van Northcross, of Barnstable, Massachusetts, Director of Marketing for Cape Cod Hospital
travels may take you, check the Journal on
(retired), paused on his way across the Margaret Bridge over the Danube in Budapest, Hungary, to
your mobile device, and send us a photo:
confirm the easy worldwide availability of the Rhode Island Medical Journal.
mkorr@rimed.org.
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Ou t-of -Hospital C ard iac A rrest (O HCA)
Out-of-Hospital Cardiac Arrest (OHCA) in Rhode Island:
Can We Do Better?
Nicholas Asselin, DO, MS
Kenneth Williams, MD, FACEP, FAEMS
Guest Editors
In this month’s issue of the Rhode Island Medical Journal
(RIMJ) we have gathered local experts in the management of
Out-of-Hospital Cardiac Arrest (OHCA) to present the current state of affairs and a timely assessment of new frontiers
in this dynamic field. No Emergency Medical Services (EMS)
complaint touches as many parts of our health system like
OHCA. The stakes are literally life and death, and yet the
Members of the Cumberland Fire and Police Departments assist Cumberland EMS paramedics and physicians during a simulated out-of-hospital
cardiac arrest. [P h oto : J o h n P l i a k a s ]
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outcome in OHCA varies dramatically in the United States
health system.1 Successful management of OHCA requires
a series of events described by the American Heart Association as the “Chain of Survival”2 that starts well before the
victim collapses with prevention, system design, training (of
bystanders, dispatchers, first responders, EMS and hospital
staff), data fidelity and the prepositioning of resources including response assets, defibrillators, and trained bystanders.
March of 2017 proved to be an important moment for EMS
in Rhode Island (RI) as it saw the rollout of a total reimagining of the RI Statewide EMS Protocols and Standing Orders.3
This revamp touched every level of provider and every disease
state, and represented years of effort by committed volunteers and public servants. The EMS Protocols were reformatted and scope of practice and treatments were modified to
reflect current best evidence. Traditionally, EMS has focused
on the stabilization and rapid transport of life-threatening
presentations; however, recent trends in the management of
some disease states (like OHCA) have focused on providing
timely, high quality care on scene, rather than the prior mantra of “scoop and run” in the severely ill or injured patient.
Following the “chain of survival” concept we open with
Jason Rhodes , et al. and their take on the use of EMS data
to plan for, respond to and debrief events like OHCA. Next
in the chain, Heather Rybasack-Smith , et al. review
the evidence for using dispatchers as “the 1st, first responders” through the delivery of just-in-time CPR instruction
for bystanders of OHCA. One of the driving factors behind
changes in the OHCA protocol for EMS providers was a realization that the care they provided on scene was in many
ways equal to what is provided in the emergency department, and that the quality of these interventions degraded
during transport operations, making scene management
essential. Leo Kobayashi , et al. present a subset of data
from their STORM Resuscitation trial that demonstrates
improved management of OHCA using mechanical adjuncts
during transport of the patient.
Changes in EMS Protocols provide unique opportunities
to assess their impact across a system. Jonathan Thorndike , et al. performed a pilot study of OHCA outcomes
comparing the first month of system-wide protocol with the
same month the year before. Joseph Lauro , et al. discuss
a case report of a success story from the RI EMS system; a
woman who collapsed in her home, was treated there by
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Ou t-of -Hospital C ard iac A rrest (O HCA)
EMS providers, and later a community ED, a critical care
EMS agency and an academic medical center, going home
after a successful outcome. Finally, Tanya Sutcliffe , et al.
review the literature on the management of pediatric OHCA,
with particular focus on the differences in arrest etiology,
as well as the challenges of managing this population at the
scene of their arrest.
We look forward to generating a robust discussion over
the management of OHCA in RI and invite our colleagues
to share their experiences with these protocol changes. EMS
management of OHCA is a dynamic field, and as the science advances nationally, so will our EMS system locally. By
embracing a “chain of survival” approach to system design
and operations and by gathering and reviewing the relevant
data, we hope Rhode Island will join other high performing
systems in delivering outstanding care for our patients who
need us most, those in cardiac arrest.
References
1. Zive DM, Schmicker R, Daya A, Kudenchuk P, Rittenberger JC,
Aufterheide T, Vilke GM, Christenson J, Buick JE, Kaila K, May
S, Rea T, Morrison IJ. Survival and variability over time from
out-of-hospital cardiac arrest across large geographically diverse
communities participating in the Resuscitation Outcomes Consortium. Resuscitation. 2018 Oct;131:74-82.
2. Cummin RO, Ornato JP, Thies WH, Pepe PE. Improving survival from sudden cardiac arrest: The “Chain of Survival” concept.
Resuscitation. 1991 May;83(5):1832-1847.
3. Rhode Island Statewide Emergency Medical Services Protocols.
Rhode Island Department of Health. 2018. Accessed 2/23/2019
at: health.ri.gov/publications/protocols/StatewideEmergencyMedicalServices.pdf.
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Acknowledgment
The editors would like to thank the thousands of EMS Providers,
Leaders, Physicians and Regulators who form the front lines of the
Rhode Island EMS System. Your tireless efforts at improvement are
responsible for saving countless lives.
Disclaimers
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Department of Emergency Medicine,
Alpert Medical School of Brown University.
Guest Editors
Nicholas Asselin, DO, MS, Director of Senior Resident EMS
Education, Department of Emergency Medicine, Assistant
Professor of Emergency Medicine, Clinician Educator, Alpert
Medical School of Brown University.
Kenneth Williams, MD, FACEP, FAEMS, RI Department of Health
Center for EMS Medical Director; Director, Division of EMS,
Department of Emergency Medicine; Professor of Emergency
Medicine, Alpert Medical School of Brown University.
Correspondence
Nicholas Asselin, DO, MS
Department of Emergency Medicine
55 Claverick Street, Suite 100
Providence, RI 02903
401-444-2470
nicholas.asselin@brownphysicians.org
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Ou t-of -Hospital C ard iac A rrest (O HCA)
Data Utilization in Emergency Medical Services
Jason Rhodes, MPA, AEMT-C; Kenneth Williams, MD, FACEP, FAEMS
KE YWORDS: Informatics, Out-of-Hospital Cardiac Arrest,
Emergency Medical Services
functions. These advances make EMS data more available for
analysis. For most patients, however, outcome data remains
separate from the EMS dataset, and requires abstraction or
query from hospital databases.
INTRO DU C T I O N
Emergency Medical Services (EMS) can be defined as a system that provides acute, urgent care and transportation for
the sick and injured. EMS practitioners include professionals at many levels, both volunteer and paid, who are trained
in the operational and clinical aspects of EMS. Physicians,
nurses, respiratory therapists, pilots, dispatchers, managers, educators, maintenance staff, information technology
professionals and others all contribute to the EMS system.
Increasingly, EMS practitioners also work in other settings
where their training is an advantage, such as hospital and
other clinical settings, military and law enforcement, preventive and follow-up care systems, safety and security.
These activities generate data of interest to many, ranging
from traffic safety scientists and automotive engineers to
epidemiologists and economists. This article reviews some
EMS data sources and tools available with a focus on using
cardiac arrest data to improve system outcomes.
EMS D ATA S O U R CE S
Sources of EMS data can be grouped into three categories:
1] Logistic data, such as time, date and location of events,
names of practitioners and services, patient demographics,
health insurance information, etc.
2] Clinical data, such as patient assessment, vital signs,
treatment and response, etc.
3] Operational data, such as response time, transport distance, communications recordings, practitioner skill logs,
quality assurance reviews, patient safety audits, etc.
Much of this data is available from EMS ambulance
responses as they are recorded electronically, instead of by
prior paper and audio recording tape systems. Electronic
recording, dispatch, and patient charting systems have been
the long-term industry standard in EMS. Software vendors
offer systems for computer-aided dispatch (CAD), patient
charting, quality assurance review, personnel management,
GIS mapping of EMS incidents, and other functions. Digital
audio recording software now offers transcription and search
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EMS DATA HISTORY
In 1973, state EMS directors realized that there was no standard format or process for gathering and comparing data
from one state, one service, one provider, or one patient to
another. There was increasing interest in such comparisons
as hospital networks and speciality centers developed, ambulances more often crossed state lines, and large ambulance
services formed. The emergency medical services system act
of 1973 identified 15 essential components of an EMS system, thus creating a rudimentary framework for EMS data
collection.1
Some systems began extracting data from paper reports or
using early scannable paper database systems. Rhode Island
had one of the earliest statewide EMS data systems, starting
in the 1990s.
The 1990 Utstein style of EMS data reporting for cardiac
arrest patients created a more detailed set of EMS data elements and allowed comparison between systems.2 In 1994,
the National Highway Traffic Safety Administration’s Office
of EMS (NHTSA EMS) developed a national consensus document that defined the first national prehospital EMS data
set, with 81 thoroughly defined data elements. This data set
formed the foundation for the National EMS Information
System, NEMSIS, which was established in 2001. Version
3.5 of the EMS data dictionary is currently in development
and encompasses over 500 data elements. The NEMSIS data
registry includes data from over 30 million EMS activations submitted by over 10,000 agencies serving 49 states
and territories.1
While this is an impressive national data set and a unique
healthcare enterprise that can answer many research questions, for privacy and efficiency reasons the national data
set does not include many elements that are important at
state, regional, or individual service, provider, or patient levels. However, similar software is in use at these levels and
allows robust local analysis. As is true with any large database where the information is entered without significant
oversight, the NEMSIS dataset contains some inaccurate
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Ou t-of -Hospital C ard iac A rrest (O HCA)
data. However, improvements in data entry rules, physician quality assurance review of EMS charts, and increased
understanding of the importance of accurate EMS data
should gradually improve data quality. Thus, there is an
EMS data pyramid, with a broad base representing individual and local data tapering to a smaller (but still robust) data
set at the national level. Topics of particular interest, such
as cardiac arrest, highway crash incidents, epidemics, and
opiate overdose, merit focused databases.
Figure 2. CARES Registry Sites
CA R D I A C A RRES T D ATA an d CAR E S
For cardiac arrest, independent projects to gather data and
benchmark using the Utstein guidelines developed, culminating in the Cardiac Arrest Registry to Advance Survival
(CARES) in 2004. CARES was formed through collaboration
between the CDC and Emory University’s Department of
Emergency Medicine. The CARES registry began collecting
data in the Atlanta area in 2005 with 600 patients, and has
now expanded to statewide data collection in 23 states and
63 community efforts in an additional 18 states, as well as
8 countries outside the US. The registry now includes over
350,000 patients representing the efforts of over 1,400 EMS
agencies and 1,800 hospitals.3 A major use of the CARES
registry is benchmarking, as seen in Figure 1, with individual agencies able to perform both internal benchmarking
against prior performance as well as comparison with like
Figure 1A. Overall Survival Rate Comparison
systems or the registry in general. The project also allows
discussion of diversity and location information.
Since the NEMSIS database has evolved to include most
of the 66 CARES registry elements, barriers to membership have decreased, but abstraction of hospital data still
requires significant personnel effort. CARES membership
fees present a significant hurdle to many states and agencies,
currently including Rhode Island, as shown in Figure 2.4
However, the involvement of focused and dedicated data
abstraction personnel also means that the CARES dataset is
likely more accurate than the NEMSIS data cube.
In Rhode Island, there is interest in CARES enrollment,
currently complicated by lack of funding. However, other
efforts are underway including inclusion of CARES elements
in the RI EMS data set and efforts to search both traditional
data and parse narrative data to develop a strong and accurate
statewide EMS database for research and quality purposes.
C A SE EXA MP LES
Several hypothetical case examples illustrate the capabilities and utility of EMS data analysis.
Figure 1B. Utstein Survival Rate Comparison
Case 1: Individual Patient Data
Source: CARES data obtained from Medical Directors for various EMS providers,
June 2013
CARES Survival Rate Comparison, 2012 data
https://mycares.net/sitepages/uploads/2015/CARES%20in%20Action%20
Abridged.pdf Accessed Aug. 2018.
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A 68-year-old male patient has diabetes and congestive
heart failure. He lives alone, has poor vision due to diabetic
retinopathy. He often has difficulty taking his medication
properly but does not qualify for home nursing services.
About twice a month, he calls 911 due to symptoms of his
chronic diseases, and is often hospitalized. Noting this pattern of readmission, a case management meeting occurred,
involving the local EMS agency and their data system. From
an analysis of their individual EMS run data, the care team
determines that many of his 911 calls have been related
to medication errors. With the patient’s permission, he is
entered into a community paramedicine program where
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Ou t-of -Hospital C ard iac A rrest (O HCA)
members of the EMS agency visit him at home and assist
him with medication dosage and compliance, reducing the
need for 911 calls and re-hospitalization.
Case 2: State System Data Improves Cardiac Arrest Care
A state EMS office receives several complaints about questionable resuscitation rates in some communities. In a number of cases during the prior year, patients suffering cardiac
arrest in these communities had long waits for EMS care.
A query of the prior year’s EMS data identifies the set of
patients with witnessed and unwitnessed cardiac arrest, and
identifies those with bystander CPR, including those who
received CPR instructions via 911/Dispatch. After analysis,
there does not appear to be discrimination based on cultural
or ethnic characteristics, place of residence, responding
agency or provider. However, most of the patients in question
had their emergency occur during peak call volume times
of day, contributing to the prolonged response times. After
discussion with several involved providers, the state office
determines that low percentages of bystander CPR and dispatcher instruction in CPR via telephone represent a gap in
the current system. Focused efforts in both areas begin, and
resuscitation rates rise compared with prior year baselines.
Case 3: National Data Reveals Health System Patterns
Syndromic surveillance of EMS data in real time by the
National Collaborative for Bio-Preparedness, enabled by
BioSpatial, is currently in place.5 This capability, dependent
on prompt uploading of individual EMS system data to state
databases and a cooperative agreement between state EMS
offices and BioSpatial, monitors a number of syndromes
of national interest (cardiac arrest, opiate overdose, motor
vehicle crashes, gastrointestinal symptoms, influenza-like
illness, etc.). Data at the national level is scrubbed and averaged to avoid privacy concerns, but at the state and service
level the system allows access to the original data (at the
same level these entities already enjoy). Figure 3 depicts a
year of Rhode Island cardiac arrest data as a heat map – the
southernmost portion of the state not visible due to map
zoom range.
Such EMS data analysis and syndromic surveillance can
be used to uncover clusters of foodborne illness and aid
in tracking the source, find concentrations of opiate overdose patients to enable community response, and identify
the location of accident-prone intersections and segments
of highway to facilitate traffic engineering improvements.
Surveillance of cardiac arrest data enables identification of
neighborhoods at risk due to lack of EMS coverage, AED
availability, or low rates of bystander CPR.
SUMMA RY
Availability of robust electronic EMS data and tools to share,
analyze, and report these data have profound implications
for the healthcare system, ranging from ability to improve
individual patient disease management to national level
syndrome identification and response. Today’s data systems
and analysis tools, including the NEMSIS Data Cube, the
CARES registry, and the National Collaborative for Bio-Preparedness BioSpatial graphic information system analysis
and mapping capabilities, provide powerful real-time capabilities for understanding EMS data and improving care
across our prehospital system.
References
1. The History of NEMSIS. DOA 8/12/2018.
2. Cummins R, Chamberlain D, Co-chairmen; Abramson N, Allen
M, Baskett P, Becker L, Bossaert L, Delooz H, Dick W, Eisenberg
M, Evans T, Holmberg S, Kerber R, Mullie A, Ornato J, Sandoe E,
Skulberg A, Tunstall-Pedoe H, Swanson R, Thies W, Members.
Circulation. 1991; 84(2): 960-975.
3. CARES fact sheet.
DOA 2/10/2019.
4. CARES Data Dictionary DOA 8/12/2018.
5. Biospacial. DOA 8/12/2018.
Disclaimer
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Rhode Island Department of Health,
or the Department of Emergency Medicine, Alpert Medical School
of Brown University.
Figure 3. Rhode
Island EMS Cardiac
Arrest Volume
Heat Map (Year
prior to 2018 Aug.)
Biospatial analysis
of RI Department
of Health data.
Authors
Jason Rhodes, MPA, EMT-C, Chief of the Center for Emergency
Medical Services, RI Department of Health.
Kenneth Williams, MD, FACEP, FAEMS, RI Department of Health
Center for EMS, Medical Director; Director, Division of EMS,
Department of Emergency Medicine,Professor of Emergency
Medicine, Alpert Medical School of Brown University.
Correspondence
Kenneth Williams, MD, FACEP, FAEMS
Department of Emergency Medicine
55 Claverick Street, Suite 100, Providence, RI 02903
401-444-5286
kenneth.williams@brownphysicians.org
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A History and Overview of Telecommunicator Cardiopulmonary
Resuscitation (T-CPR)
Heather Rybasack-Smith, MD, MPH; Joseph Lauro, MD, FACEP
A BST RA C T
Few events in pre-hospital medicine inspire as much
attention and resources as out-of-hospital cardiac arrest
(OHCA), yet the survival rate for such events has remained stagnant and unacceptably low. The first links in
the chain of survival are early recognition and early CPR;
yet EMS services do not arrive to the scene of a medical
call for on average 7 minutes. Emergency dispatchers are
generally the first trained individuals involved in medical emergencies; they can provide pre-arrival instructions, specifically telecommunicator CPR (T-CPR), and
represent the potential to double the bystander CPR rate
and increase return of spontaneous circulation. Yet, according to survey data, fewer than half of all public safety
answering points (PSAPs) provide any T-CPR and even
fewer provide hands-only CPR instruction.1 This article
will provide a brief overview, history and introduction
to the evidence supporting the use of T-CPR to improve
outcomes in OHCA.
KE YWORDS: Cardiac Arrest, Emergency Medical
Dispatch, Telecommunicator CPR, Emergency
Medical Services
of cardiac arrest victims must wait for the arrival of EMS
services before CPR is initiated.
Survival decreases by around 5% for each minute between
cardiac arrest and the initiation of CPR and yet EMS response
times in urban settings are on average 7.0 (SD 4.4) minutes,
7.7 (SD 5.4) minutes in suburbia and 14.5 (SD 9.5) minutes
in rural settings.7 Anoxic brain injury can occur after just
a few moments following cardiac arrest. Bystander CPR,
whereby CPR is performed by untrained bystanders prior
to EMS arrival, can bridge this gap, buying valuable time
for the initiation of Advanced Cardiac Life Support (ACLS)
protocols. Unfortunately although the general public widely
recognizes the importance of CPR, bystander CPR rates
remain low nationally.5
One proven way to increase the rates of bystander CPR is
through the use of telecommunicator CPR (T-CPR). Across
the country, from Rochester to Seattle, communities have
dramatically increased their cardiac arrest survival rate with
programs that include evidence-based, quality- controlled,
physician-led, dispatcher-assisted CPR. Arizona now has an
overall survival rate of 35% for VF cardiac arrest.8 In Rochester, victims of witnessed VF arrest have a 50% chance of
survival.9 In Seattle/King County, WA, the survival rate for
witnessed VF arrest in one analysis was 62%!10
INTRO DU C T I O N
W HAT IS T-C P R?
Although the actual incidence in not tracked in Rhode
Island, extrapolations would suggest that every year an estimated 1,000 people suffer an out-of-hospital cardiac arrest
(OHCA), when their heart stops beating normally.2 Of these,
approximately 40% are witnessed.3 Although an estimated
25–50% of all OHCAs are due to a treatable arrhythmia
like ventricular fibrillation (VF), the rate of survival to hospital discharge after a witnessed OHCA is estimated to be
31.4%.3 This number has remained stagnant for years, with
the exception of isolated, high performance EMS systems.
Factors that increase the survival rate for witnessed cardiac
arrest include bystander CPR, early AED and early advanced
cardiac care. Multiple studies have shown that bystander
CPR doubles rates of survival in OHCA;4,5 however, the
rate of bystander CPR in Rhode Island is an abysmal 20%
in recent data analysis6 and across the country remains a
stagnant 40%.5 In other words, in Rhode Island, up to 80%
T-CPR is defined as the “provision of CPR instructions by
emergency dispatchers and call-takers to 9-1-1 callers who
potentially encounter cardiac arrest.”11 T-CPR is real-time,
over the phone CPR instruction given to bystanders by
trained emergency dispatchers with a goal of having “hands
on the chest” within 3 minutes of the 9-1-1 call.
T-CPR is part of a group of standardized, scripted pre-arrival instructions. These pre-arrival instructions are
designed to provide immediate, life-saving interventions
prior to the arrival of EMS, by bystanders under the instruction of trained medical dispatchers. Pre-arrival instructions,
when provided by certified Emergency Medical Dispatchers
(EMDs) have been proven safe, effective, and lifesaving.11
Trained 9-1-1 operators coach people through immediate
measures such as CPR as well as for other emergencies
like bleeding control, choking, or assistance for drug overdose victims, meanwhile collecting key information for
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emergency responders prior to their arrival. T-CPR has been
included in the American Heart Association guidelines for
resuscitation care since 2010, and has been graded as the
highest level (Class I) recommendation in the most recent
2017 guidelines.12 Pre-arrival instructions such as T-CPR
enable emergency medical dispatchers to be the true first
responders to medical emergencies, buying valuable time for
patients suffering life-threatening illness or injury.
T-CPR employs a rapid triage assessment of the victim,
using a “no, no, go” paradigm. This consists of a two-question screening: 1) Is the patient conscious? 2) Is the patient
breathing normally? If the answer is no to both questions, the
telecommunicator gives brief, easy to understand instructions to the caller. Generally this involves getting the patient
to a flat, hard surface, placing hands on the chest and pushing hard and fast with coaching by the telecommunicator.
HIS T O RY O F T-CP R
Modern CPR has evolved over the last half century alongside the evolution of organized EMS, medical dispatch and
the specialty of Emergency Medicine. Though the first documented instances of chest compressions occurred as early
as the 1800s, CPR as we know it today was created in the
mid-20th century. In the early 1960s, the American Heart
Association (AHA) formerly endorsed CPR and created the
first program to teach what was then called “closed chest
cardiac massage” to physicians in the hospital setting.13 By
the 1960s, EMS was becoming more organized, and CPR
quickly became standard instruction for newly minted EMS
providers. The provision of CPR training to laypeople soon
followed. The very first documented instruction of laypeople in CPR took place in Cleveland in 1961,14 and the 1970s
marked the first large-scale rollout of CPR training to the
lay public. In 1972, Leonard Cobb held the first public CPR
training in Seattle, WA14 and by the end of the 1970s ACLS
was developed at the third national conference on CPR.13 It
was some years later that emergency medical dispatchers
began offering instructions to callers.
The very first documented pre-arrival instructions were
provided in 1975 by paramedic Bill Tune in Phoenix, AZ.15
Paramedic Tune gave spontaneous, unscripted instructions
to the mother of a child who was not breathing. The child
survived and Phoenix began routinely offering non-standardized, non-scripted, pre-arrival instructions.15 However,
despite this (and likely other undocumented occurrences),
T-CPR was not widely adopted until later, following the
development of the EMD and standardized EMS dispatch
protocols. Utah boasted the first formal training program for
emergency dispatchers and also was the first state to require
use of medically approved dispatch protocols in 1983. This
was the same year the US Department of Transportation
issued a sample curriculum and protocol for EMD training.15
Throughout the 1980s multiple jurisdictions across the US
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began using pre-arrival instructions for critical events like
CPR, choking and childbirth and T-CPR began to be formally
incorporated into dispatch center protocols.
EV IDENC E TO SUP P ORT USE OF T-C P R
Survival from OHCA requires complex systems of care and
chain of survival that begins with early access to CPR and an
Automatic Defibrillator (AED), continued with robust prehospital management of cardiac arrest and care at the hospital. Dispatcher-assisted bystander CPR has been shown
to improve survival especially when integrated with other
links in the chain like AED use, more CPR education and
advanced systems of care.11,16
Studies have shown that bystander CPR increases rates
of survival by over 200% in OHCA.4 Though most Americans are familiar with CPR,17 rates of bystander CPR remain
very low.5 T-CPR pre-arrival instructions have been shown
to double the rates of bystander CPR,16 are nearly as effective as CPR provided by a trained medical professional,11 are
expected by the general public17 and have been shown to be
feasible and effective.
Phoenix, AZ, provides an example of the positive survival
effects of institution of effective T-CPR programs. Phoenix
previously provided pre-arrival CPR instructions at regional
dispatch centers but had not adopted formal, evidence-based
guidelines for identification of OHCA, quality improvement
or training. They instituted a T-CPR bundle of care based on
AHA guidelines for T-CPR, including guideline-based protocols, training, data collection and feedback to two regional
dispatch centers and analyzed before-and-after outcome
data. Among the favorable outcomes seen in before-andafter analysis were: 9.3% increase in provision of T-CPR
(95% CI, 4.9%–13.8%), all rhythm survival increase from
9% to 12% (aOR 1.47 [95% CI, 1.08–2.02]), survival after
shockable rhythm 35% from 24.7% (aOR 1.70 [95% CI,
1.09–2.65]), and a favorable functional outcome of 8.3%, up
from 5.6% (aOR 1.68 [95% CI, 1.13–2.48]).18 Other cities have
observed increases in bystander CPR, survival to discharge
and good neurologic outcome after the initiation of T-CPR
and T-CPR quality improvement/training protocols.19
Across the country, from Rochester to Seattle, communities have dramatically increased their cardiac arrest survival rate with programs that include dispatcher-assisted
CPR, but T-CPR alone is not a panacea. There are, and likely
will remain, many barriers to performance of bystander CPR
including patient positioning and location and the ability of
the bystander to physically perform effective compressions.
Based on the experience of high-performance systems such
as Seattle/Kings County and Rochester, T-CPR must be a
part of a vibrant, robust EMD program with quality assurance and improvement, data collection and tracking and
physician involvement. Public Safety Answering Points
(PSAPs), the call centers responsible for answering calls to
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Ou t-of -Hospital C ard iac A rrest (O HCA)
an emergency telephone number for emergency services,
must be provided the oversight, budget, staffing and training
to accomplish the goals of evidence-based EMD, including
T-CPR. Future directions of EMD may include CPR instructions provided via smart phone, use of drones to deliver
AEDs and provide CPR instruction and feedback, and smartphone, social media-based deployment of CPR-trained
Samaritans to public OHCA. These ideas have been explored and imagined in various settings and are the subject
of active research efforts.
References
1. Sutter J, Pancyk M, Spaite DW, Ferrer JM, Roosa J, Dameff C,
Langlais B, Murphy RA, Bobrow BJ. Telephone CPR instructions
in emergency dispatch systems: qualitative survey of 911 call
centers. West J Emerg Med; 2015;16(5): 736-42.
2. Benjamin EJ et al. Heart disease and stroke statistics – 2018 Update. Circulation. 2018 Mar 20; 137(12): e67-e492.
3. Mozaffarian D, Benjamin EJ, Go AS, et al. Heart disease and
stroke statistics – 2015 update: a report from the American heart
association. Circulation. 2015;131(4): e29-322.
4. Hopkins CL, Burk C, Moser S, Meersman J, Baldwin C, Youngquist ST. Implementation of pit crew approach and cardiopulmonary resuscitation metrics for out-of-hospital cardiac arrest improves patient survival and neurological outcome. J Am Heart
Assoc. 2016;5(1).
5. Sasson C, Rogers MA, Dahl J, Kellerman AL. Predictors of survival from out-of-hospital cardiac arrest: a systematic review and
meta-analysis. Circ Cardiovasc Qual Outcomes. 2010;3:63-81.
6. Thorndike J, Chuck C, Baird J, Asselin N. Effects of an isolated 30-Minute CPR Protocol on Out-of-Hospital Cardiac Arrest
(OHCA). Abstracts for the 2019 NAEMSP Scientific Assembly.
Prehospital Emergency Care. 2019;23(1): 148.
7. Mell HK, Mumma SN, Hiestand B. Emergency medical services
response times in rural, suburban and urban areas. JAMA surg.
2017;152(10):983-984.
8. Spaite DW, et al. Statewide regionalization of post-arrest care
for out-of-hospital cardiac arrest: association with survival and
neurologic outcome. Annals of Emerg Med. 2014;64(5),496-506.
9. Okubu M, Atkinson EJ, Hess EP, White RD. Improving trend
in ventricular fibrillation/pulseless ventricular tachycardia outof-hospital cardiac arrest in Rochester, Minnesota: A 26-year
observational study from 1991 to 2016. Resuscitation. 2017;
120:31-37.
10. Kings County Division of Emergency Services. 2017 annual report; 2017; 69. Available online at https://www.kingcounty.gov/
depts/health/~/media/depts/health/emergency-medical-services/documents/reports/2017-Annual-Report.ashx
11. Bobrow BJ, Eisenberg MS, Panczyk M. Telecommunicator
CPR: pushing for performance standards. Prehosp Emerg Care.
2014;18:558–559.
12. Kleinman ME, Goldberger ZD, Rea T, Swor RA, Bobrow BJ,
Brennan EE, Terry M, Hemphill R, Gazmuri RJ, Hazinski MF
Travers AH. 2017 American Heart Association focused update
on adult basic life support and cardiopulmonary resuscitation
quality: an update to the American Heart Association guidelines
for cardiopulmonary resuscitation and emergency cardiovascular care. Circulation. 2018;137(1).
13. History of CPR: highlights of CPR dating back to the 1700s.
https://cpr.heart.org/AHAECC/CPRAndECC/AboutCPRFirstAid/HistoryofCPR/UCM_475751_History-of-CPR.jsp
14. Cooper JA, Cooper JD, Cooper JM. Cardiopulmonary resuscitation: history, practice and future directions. Circ.
2006;114(25):2839-2849.
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15. Zachariah BS, Pepe PE. The development of emergency medical dispatch in the USA: A historical perspective. European J of
Emerg Med. 1995;2:109-112.
16. Vaillancourt C, Verma A, Trickett J, Crete D, Beaudoin T,
Nesbitt L, Wells GA, Stiell IG. Evaluating the effectiveness of
dispatch-assisted cardiopulmonary resuscitation instructions.
Acad Emerg Med. 2007; 14: 877–883
17. Clawson A, Stewart P, Olola C, Freitag S, Clawson J. Public expectations of receiving telephone pre-arrival instructions from
emergency medical dispatchers at 30 years post origination.
Journal of Emergency Dispatch. 2011; 13(3),34-39.
18. Bobrow BJ, Spaite DW, Vadeboncoeur TF. Implementation of a
regional telephone cardiopulmonary resuscitation program and
outcomes after out-of-hospital cardiac arrest. JAMA Cardiology.
2016; 1(3):294-302.
19. Song KJ, Shin SD, Park CB, et al. Dispatcher-assisted bystander cardiopulmonary resuscitation in a metropolitan city: a before-after population-based study. Resuscitation. 2014;85:34-41.
Authors
Heather Rybasack-Smith, MD, MPH; Division of EMS,
Department of Emergency Medicine, Assistant Professor of
Emergency Medicine, Clinician Educator, Alpert Medical
School of Brown University.
Joseph Lauro, MD, FACEP; Division of EMS, Department of
Emergency Medicine, EMS Medical Director, Miriam and
Newport Hospitals, Clinical Associate Professor of Emergency
Medicine, Alpert Medical School of Brown University;
Associate Medical Director: Cumberland Paramedics.
Disclaimer
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Department of Emergency Medicine,
Alpert Medical School of Brown University.
Conflicts of Interest
There are no conflicts of interest.
Financial Support and Sponsorship
None.
Correspondence
Heather Rybasack-Smith, MD, MPH
Department of Emergency Medicine
55 Claverick Street
Providence, RI 02903
401-444-5286
heather.rybasack-smith@brownphysicians.org
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Ou t-of -Hospital C ard iac A rrest (O HCA)
Comparison of EMS Provider In-Transit Performance and Exertion
with Standard and Experimental Resuscitation Protocols during
Simulated Out-of-Hospital Cardiac Arrest
Leo Kobayashi, MD; Nicholas Asselin, DO, MS; Bryan Choi, MD, MPH;
Max Dannecker, NREMT; Kenneth Williams, MD, FACEP, FAEMS
A bstract
Objective: To assess the effect of a device-assisted out-
of-hospital cardiac arrest (OHCA) resuscitation approach
on provider performance during simulated transport.
M ethod s: BLS and ALS providers were randomized into
control and experimental teams. Subjects were fitted
with wireless heart rate (HR) monitors. Control teams
simulated with standard protocols and equipment; experimental teams with resuscitation-automating devices
and goal-directed protocols. Chest compression quality,
pulmonary ventilation, defibrillation, and medication administration tasks were monitored; subjects’ HR’s were
continuously recorded.
Results: Ten control and ten experimental teams com-
pleted the study (20 EMT-B’s; 1 EMT-I, 8 EMT-C’s, 11
EMT-P’s) with similar resting HR’s and age-predicted
maximal HR’s (mHR). All exhibited suboptimal in-transit resuscitation quality during initial simulations; HR
did not differ significantly between the groups. Experimental teams exhibited improved chest compression and
ventilation quality during transport along with lower
subject HR.
C onc lusion : OHCA resuscitation automation im-
proved the in-simulation quality of critical in-transit
tasks and reduced provider exertion.
Keyword s: Medical Simulation, Cardiac Arrest,
Mechanical CPR, Workload
Introd u ction
The delivery of meaningful cardiopulmonary resuscitative care during patient transport is challenging.1-3 While
in motion, even basic tasks and actions can become complicated and difficult regardless of provider experience and
skill.3 In order to explore potential ways to assist Emergency Medical Service (EMS) providers in their delivery of
high-quality care in challenging pre-hospital environments,
investigators initiated the Standardized Treatment and Optimal Resuscitation through Mechanical Adjuncts (STORM)
program.4,5 Focusing on the aspects of cardiac resuscitation
repeatedly observed to be suboptimal,6,7 the program studied
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the experimental, goal-directed integration of BLS and ACLS
principles into an alternative algorithmic approach for standardized and streamlined patient care.
The overall STORM program employed a study design
that incorporated on-scene and in-transit simulation of
pre-hospital OHCA resuscitation; study metrics were chosen for objective assessment of resuscitation task performance quality and workload in mixed-response (BLS-ALS)
teams. This manuscript presents the in-transit aspects of
the program’s simulation-based comparison of EMS teams
employing standard and experimental OHCA resuscitation
protocols and equipment.
Method s
Study Design
The study used a randomized, non-blinded, controlled
experimental design. The research program was conducted
at a hospital-affiliated academic simulation center. Emergency Medical Technicians (EMT) licensed at the Basic (B),
Intermediate (I), Cardiac (C) or Paramedic (P) levels were
recruited through regional EMS events and networks. Interested and qualifying subjects were paired and scheduled as
two-provider teams (one EMT-B and one EMT-I/C/P. The
overall STORM program and the in-transit component were
approved by the hospital institutional review board.
Study Protocol and Metrics
Accepted formats for reporting of cardiopulmonary resuscitation quality (e.g., guidelines set forth by Kramer-Johansen
et al.8) were reviewed and modified for programmatic objectives. Core performance metrics were selected a priori for
chest compression (hand position, depth, rate and release)
and pulmonary ventilation (rate, volume). Proportions of
transport time without any compressions and without adequate compressions were selected as composite performance
metrics.
The STORM research protocol4,5 specified unobtrusive
measurement of subject exertion and effort during on-scene
and in-transit resuscitation through measures of physiologic
stress and self-reports of perceived workload on validated
assessment tools (NASA-TLX and Borg RPE). Investigators
configured Polar H7 (Polar Electro, Lake Success, NY) chest
strap systems to monitor subjects’ heart rates (HR) through
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wirelessly-paired iPod Touch devices (Apple, Cupertino, CA)
running DigiFit app software (DigiFit, Santa Barbara, CA).
The iPods were configured to store and export summary
reports of subjects’ monitoring duration, average HR and
time-vs.-HR plot for each simulation.
Experimental Resuscitation Protocol and Equipment
Provider-assistive devices were reviewed for specific OHCA
tasks, i.e., chest compression,3,9 defibrillation,10,11 advanced
airway management,12-14 pulmonary ventilation,15 vascular
access, and medication administration.16 The program built
on these efforts and developed a systems-based, experimental
re-engineering of OHCA response. Specifically, a step-wise
algorithm to enable small teams to expeditiously perform
multiple complex interventions was designed with a mnemonic aid and modular assortment of select equipment (see
Figure 1). The experimental equipment setup consisted of
the following devices: automated chest compressor (LUCAS
2, Jolife AB / Physio-Control, Lund, Sweden), supraglottic
airway device (King LT, Kingsystems, Noblesville, Indiana;
Aura-I ILMA without endotracheal tube, Ambu, Ballerup,
Netherlands), battery-powered portable mechanical ventilator (EPV-200, Allied Healthcare Products, St. Louis, Missouri), powered intraosseous access device (EZ-IO, Vidacare,
San Antonio, Texas), defibrillator with AED mode (Zoll R
Figure 1. Experimental pre-hospital sudden cardiac arrest resuscitation
protocol with assistive devices.
series +, Zoll, Chelmsford, Massachusetts) and simulated
ACLS medications (SimulAids, Saugerties, New York). Fully
in compliance with American Heart Association life support
guidelines, the protocol and equipment selection were simulation-tested on the SimMan 3G simulator (Laerdal, Wappingers Falls, NY) and recursively revised by investigators
for utility, usability and safety.
Study Sessions
Standardized preparatory instructions were emailed prior to
study sessions. Subjects were consented, randomly assigned
as a team to either the control or experimental group, oriented to the simulation environment, and surveyed on
demographic and licensing information, resuscitation training and experience, current practice setting, and previous
simulation exposure. Each subject was fitted with a HR
monitor and tested for signal transmission and accuracy of
DigiFit HR measurements. After passive exposure to a relaxing nature video presentation for one minute, each subject’s
stable resting HR was recorded over a minute and his/her
age-predicted maximal HR (mHR) was calculated with the
Tanaka formula.17
Subjects were brought into the study area at the start of
their first simulations then instructed to resuscitate and
transport a simulated OHCA patient. While being videotaped and monitored for performance and HR, study teams
performed simulated OHCA resuscitation with
transport of the manikin 250 feet through an office
building on an ambulance stretcher.
Between the first and second simulations, control teams completed a 35-minute high-performance cardiopulmonary resuscitation review with
hands-on manikin compression training and realtime objective feedback. The experimental group’s
intervention consisted of a 35-minute presentation
on the program’s alternative pre-hospital OHCA
resuscitation approach; subjects completed didactic
and hands-on training with the experimental protocol and associated equipment. Second simulations
(with the same OHCA scenario as first simulations)
were completed by control and experimental groups
immediately after the just-in-time training interventions; performance metrics and HR data were
collected in real time.
Data Analysis
Subject demographics, clinical and training experience were compared between study groups for failure
of randomization with Fisher exact and Mann-Whitney U tests. Teams’ resuscitation performance data
were extracted from audiovisual records using StudioCode (SBG, Camarillo, CA). These data were synchronized with the manikin log dataset and analyzed
with Excel (Microsoft, Redmond, WA); medians and
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Ou t-of -Hospital C ard iac A rrest (O HCA)
interquartile ranges (IQRs) were calculated. Performance
changes (Δ) within each study team from first simulation
to second simulation were determined along with the differences between control and experimental groups’ changes
(Δ(Δ)); Mann-Whitney U tests were completed with an alpha
of 0.05 for significance on the within-group Δ and betweengroup Δ(Δ) values. Subjects’ DigiFit-exported HR plot image
files were processed with DigitizeIt (Bormisoft, Brunswick,
Germany) optical plot recognition (OPR) software to extract
their HR data. Each subject’s average HR during simulated
patient transport was then used to determine his / her
in-transit level of exertion; the subject’s resting HR and
age-predicted mHR were used to define his / her expected
range of exertion. Within-subject changes in HR from baseline, e.g., ΔHR1 = simulation 1 HR - resting HR, and in percentage of mHR attained (Δ%mHR) were calculated for each
simulation, where each subject acted as his/her own control;
these data were used to derive between-group differences in
ΔHR and Δ%mHR for analysis with Mann-Whitney U tests.
Res u lts
Twenty EMT-B’s, one EMT-I, eight EMT-C’s and eleven EMTP’s were recruited into 20 BLS-ALS teams over the two-year
study period; seven recruited subjects who failed to present
for study sessions were excluded. Control and experimental
groups were similar in age and sex, clinical training, and simulation exposure. Levels of clinical experience were different for control and experimental ALS providers (supraglottic
airway use, p<0.01; mechanical ventilator use, p=0.05; and
intraosseous needle insertion, p<0.01), see Table 1 for details.
Total simulation time and the duration of transit (as a percentage of simulation time) at baseline were similar (median
and interquartile range [IQR] 1–3) at 1,174 (860–1,197) seconds and 8.9% (7.1%–9.9%) for control groups, and 1,060
(993‒1,217; NS) seconds and 9.1% (6.6%–11.4%; NS) for
experimental groups. Total resuscitation time was shorter in
second simulations (p≤0.01 for both groups) without changes
in duration of transit time (NS for both groups).
Control and experimental groups performed chest compressions at baseline without significant differences in hand position, depth, rate and chest release; proportions of in-transit
resuscitation time without adequate compressions were similarly high for both groups (NS). Pulmonary ventilation was
generally inadequate by all teams (NS); defibrillations and
medications were infrequently administered during transport
(data not shown). Control teams did not exhibit changes in
compression or ventilation metrics across simulations. During
second simulations, teams using the experimental protocol
and equipment performed deeper compressions (+19mm [15–
26mm, p<0.01]) with better release and a trend toward faster
compressions; their change in in-transit resuscitation proportion without adequate compressions did not attain significance (p=0.11). Experimental teams improved their minute
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ventilation volumes during second simulations (+2,893mL/
min [2,120-3,670ml/min, p<0.01]). The within-group changes
across simulations for compression depth, chest release
and ventilation rate were significantly different between
control and experimental groups, see Table 2 for details.
Both resting HR and age-predicted mHR did not differ significantly across study groups or by provider level. During
first simulation transports, the median change in average
HR, i.e., ΔHR from resting HR, was +80.7bpm (72.9–92.1bpm)
and +66.7bpm (53.0–83.1bpm) for control BLS and ALS
subjects, respectively. Experimental BLS and ALS subjects
displayed similar increases in average HR during first simulation transports, and there was no significant difference in
the percentage of age-predicted mHR attained by control and
experimental teams (comparison data not shown).
Control teams’ ΔHR during second simulation transports
were not different from their first simulation ΔHR. The
experimental teams’ second-simulation ΔHR of -23.6bpm
(-29.4– -11.3bpm) for ALS providers was significantly lower
than their first-simulation ΔHR (p=0.04). Changes across
simulations in percentage of mHR attained, i.e., Δ%mHR,
were different for control and experimental teams: BLS providers’ median Δ%mHR: -5.1% (-10.9%– -0.3%), p<0.01,
relative to controls’ +3.0% (2.4%–7.3%); ALS providers:
-12.3% (-16.0%– -6.1%), p=0.02, relative to controls’ +0.2%
(-5.3%–2.6%), see Table 3.
Discu ssion
Findings from the STORM program’s completed research
components suggest that an experimental, device-assisted
protocol may improve the quality of select on-scene resuscitative tasks while reducing provider workload without
similar improvements from a control, high-performance
CPR training intervention.4,5 In-transit study subjects’ suboptimal baseline resuscitation performances during patient
transport were consistent with the poor resuscitative quality observed in previous live1 and simulation2 investigations.
Although limited to 250 feet of stretcher-assisted movement
over even terrain in approximately 1.5 minutes, study teams
using standard protocols and equipment consistently failed
to meet AHA-specified chest compression rates and depths
as well as pulmonary ventilation rates and volumes.
Despite this poor clinical performance, subjects’ HR’s generally doubled from resting rates during the transportation
phase of study simulations and registered at approximately
80% of their age-predicted maximal heart rates. In healthy
individuals, this level of exertion and physiologic activation
could be concerning with respect to their ability to function effectively as EMS providers – equivalent levels may
be hazardous in pre-hospital workers with cardiopulmonary
comorbidities.
A structured and hands-on intervention for high-performance CPR failed to meaningfully improve compressive
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Ou t-of -Hospital C ard iac A rrest (O HCA)
Table 1. Comparison of subjects’ demographic, clinical experience and previous training characteristics by study group and provider level.
Control Group
Experimental Group
(median and inter-quartile ranges
unless specified otherwise)
(median and inter-quartile ranges
unless specified otherwise)
BLS provider
ALS provider
BLS provider
ALS provider
BLS provider
ALS provider
25.5
(23.3–27.8)
32.5
(28.0–44.5)
25.0
(24.0–26.0)
31.0
(26.5–33.8)
0.91
0.47
10%
10%
20%
0%
1
ω
1ω
Primary current clinical role (n)
EMT-B: 10
EMT-I: 0
EMT-C: 2
EMT-P: 8
(RN: 1)
EMT-B: 10
EMT-I: 1
EMT-C: 6
EMT-P: 3
(RN: 2)
1ω
1ω
Pre-hospital clinical employment (years)
2.0
(1.3–2.8)
5.0
(5.0–9.0)
3.0
(1.6–4.8)
7.0
(6.0–12.5)
0.26
0.43
35.0
(15.0–42.3)
5.0
(4.3–10.0)
15.0
(7.6–23.8)
22.5
(8.5–25.0)
0.10
0.10
Out-of-hospital cardiac arrest resuscitation
in primary provider role (n)
0.0
(0.0–4.0)
35.0
(10.5–50.0)
1.5
(1.0–16.5)
20.0
(11.3–43.8)
0.20
0.97
External CPR chest compression (patients)
0.0
(0.0–1.8)
35.0
(2.8–50.0)
1.5
(1.0–12.3)
22.5
(11.0–43.8)
0.14
0.97
0.0
(0.0–0.8)
9.0
(2.0–10.0)
0.5
(0.0–2.0)
1.5
(0.0–6.8)
0.43
0.13
0.0
(0.0–0.0)
16.0
(1.0–45.0)
0.0
(0.0–1.5)
7.5
(3.5–23.8)
0.62
0.82
0.5
(0.0–1.8)
40.0
(7.5–50.0)
3.0
(1.0–16.5)
27.5
(11.0–63.8)
0.09
0.85
0.0
(0.0–0.0)
16.5
(0.3–40.0)
0.0
(0.0–0.0)
5.5
(3.0–41.3)
0.73
0.85
0.0
(0.0–0.0)
5.0
(3.0–7.8)
0.0
(0.0–0.0)
0.0
(0.0–1.8)
0.73
<0.01
0.0
(0.0–0.0)
4.5
(1.3–14.3)
0.0
(0.0–0.0)
0.0
(0.0–0.0)
1
0.05
0.0
(0.0–0.0)
40.0
(2.8–387.5)
0.0
(0.0–0.0)
75.0
(16.3–150.0)
1
0.67
0.0
(0.0–0.0)
17.5
(6.0–38.8)
0.0
(0.0–0.0)
0.5
(0.0–4.3)
0.73
<0.01
Automated chest compression device (%)
20%
80%
50%
50%
0.27ω
0.35ω
Semi-automated/manual defibrillation (%)
90%
100%
70%
90%
0.47
ω
1ω
Endotracheal intubation (%)
70%
100%
30%
100%
0.14ω
1ω
Supraglottic airway device (%)
40%
100%
80%
100%
0.14
1ω
Mechanical ventilator use (%)
0%
90%
10%
40%
0.73ω
0.06ω
Intravenous catheter insertion (%)
50%
100%
20%
100%
0.27
1ω
Intraosseous needle insertion (%)
40%
100%
20%
80%
0.47ω
0.47ω
1ω
0.15ω
Subject Characteristic (units)
pψ
Demographic Information
Age (years)
Gender (female, %)
Pre-hospital patient load
(patients per week)
Clinical Experience
Automated chest compression device
application (patients)
Semi-automated / manual defibrillation
(patients)
Bag-valve-mask ventilation
(patients)
Endotracheal intubation
(patients)
Supraglottic airway device use
(patients)
Mechanical ventilator use
(patients)
Intravenous catheter insertions
(patients)
Intraosseous needle insertions
(patients)
Previous Training (In-servicing)
ω
ω
Simulation Experience (%)
None: 40%
None: 10%
None: 30%
None: 0%
Limited: 30%
Limited: 0%
Limited: 20%
Limited: 20%
Moderate: 30% Moderate: 30% Moderate: 30% Moderate: 50%
Significant: 0% Significant: 60% Significant: 10% Significant: 20%
Table excerpted from Choi B, Asselin N, Pettit CC, Dannecker M, Machan JT, Merck DL et al. “Simulation-based Randomized Comparative Assessment of Out-of-Hospital
Cardiac Arrest Resuscitation Bundle Completion by Emergency Medical Service Teams Using Standard Life Support or an Experimental Automation-assisted Approach.”
Sim Healthcare 2016:11(6), 365-375
ψ
Mann-Whitney U test unless specified otherwise ωFisher exact test (2x2, 2x3 or 2x4)
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Ou t-of -Hospital C ard iac A rrest (O HCA)
Table 2. Comparison of in-transit simulated resuscitation task performance and quality by study group during first and second simulations.
Resuscitation Quality Metric
Control Group
Experimental Group
(Standard out-of-hospital cardiac arrest
resuscitation protocol and equipment;
median and inter-quartile ranges)
(Experimental out-of-hospital cardiac arrest
resuscitation protocol and equipment;
median and inter-quartile ranges)
Simulation 1 Simulation 2
(n=9)
(n=10)
(units; [recommended
performance], if specifiedλ)
Δ
pψ
Simulation 1
(n=10)
Simulation 2
(n=10)
Δ
pψ
Betweensimulation
Δ by group
(Δ[Δ])
pψ
Simulation
Total simulation duration
(sec)
1,174
(860–1,197)
689
(562–801)
-339
(-448– -186)
0.01
1060
(993–1,217)
770
(734–871)
-309
(-402– -178)
<0.01
0.85
86
(83–107)
98
(84–102)
+4
(-3–13)
0.87
101
(67–142)
100
(88–103)
-7
(-40–35)
0.80
0.90
0.05
0.35
Transportation
Duration of transit
(sec)
Duration of transit (% of total
simulation duration)
Transportation speed
(mph for 250ft transport)
9.1%
12.5%
+3.9%
8.9%
12.4%
+5.1%
0.04
(6.6%–11.4%) (11.4%–13.3%) (0.8%–6.7%)
(7.1%–9.9%) (10.9%–17.9%) (4.3%–6.7%)
2.0
(1.6–2.1)
1.7
(1.7–2.0)
-0.1
(-0.3–0.0)
0.84
1.7
(1.2–2.6)
1.7
(1.7–1.9)
+0.1
(-0.9–0.4)
0.82
0.97
1.00
(1.00–1.00)
1.00
(1.00–1.00)
0.00
(0.0–0.0)
1
1.00
(1.00–1.00)
1.00
(1.00–1.00)
0.00
(0.0–0.0)
1
1
25
(24–31)
30
(28–35)
+4
(0–11)
0.39
25
(23–31)
47
(44–50)
+19
(15–26)
<0.01
<0.01
81
(80–90)
81
(69–102)
0
(-10–28)
0.87
68
(26–100)
101
(98–102)
+34
(-3–74)
0.09
0.13
99%
(91%–99%)
95%
(86%–99%)
-1%
(-7%–0%)
0.37
+1%
(0%–46%)
0.05
0.03
0.00
(0.00–0.19)
0.00
(0.00–0.00)
0.00
(-0.19–0.00)
0.49
0.11
(0.00–0.46)
0.00
(0.00–0.00)
-0.11
(-0.46–0.00)
0.02
0.13
1.00
(1.00–1.00)
1.00
(1.00–1.00)
0.00
(0.00–0.00)
0.71
1.00
(1.00–1.00)
0.96
(0.25–1.00)
-0.04
(-0.75–0.00)
0.11
0.11
347
(0–1,459)
173
(0–702)
0
(-904–0)
0.71
117
(0–1,052)
1.3
(0.0–3.9)
0.4
(0.0–2.8)
-0.0
(-1.6–0.0)
0.60
0.5
(0.0–2.7)
12.2
(11.9–12.5)
+11.3
(9.5–12.1)
<0.01
<0.01
275
(0–400)
75
(0–434)
0
(0–100)
0.90
125
(0–390)
300
(250–325)
+75
(-52–269)
0.38
0.74
In-transit Chest Compression
Proportion of compressions
with proper hand position
Compression depth
(mm; [>50 mm])
Compressions delivered per
minute (cpm; [>100 cpm])
Chest release to <1cm from
starting position (%; [100%])
In-transit resuscitation
proportion without any
compressions
In-transit resuscitation
proportion without adequate
compressions
99%
100%
(54%–100%) (100%–100%)
In-transit Pulmonary Ventilation
Minute ventilation volume
(mL/min)
• Ventilation rate
(bpm)
• Ventilation volume
(mL)
3,670
+2,893
<0.01
(3,000–3,900) (2,120–3,670)
<0.01
ψ
Mann-Whitney U test λAmerican Heart Association Basic Life Support and Advanced Life Support guidelines
Key: bpm = breaths per minute; cpm = compressions per minute; CPR = cardiopulmonary resuscitation; ft = feet; min = minute; mL = milliliters; sec = second
and ventilatory task performance during patient transport;
repeating the simulation scenario only reduced on-scene
time. In contrast, the experimental approach resulted in
deeper compressions and increased pulmonary ventilation
during the transport phase of care. Additionally, experimental BLS and ALS providers’ heart rates did not increase as
much as those of control subjects. Taken together, these
findings indicate that device-assisted automation of select
OHCA resuscitation tasks can improve in-transit performance on common CPR metrics while requiring less exertion
of provider teams. This finding is of particular interest as the
optimal duration of pre-hospital OCHA scene resuscitation
prior to transport is unclear.
In light of the time-critical and error-intolerant nature of
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successful cardiocerebral resuscitation, the ever-increasing
complexity of healthcare, and the steadily expanding scientific insight into human performance, efforts to augment
provider capabilities are likely to be beneficial. The experimental OHCA resuscitation approach demonstrated its
viability and potential as a mechanism to advance patient
care delivery during challenging, transitive periods. Ongoing investigations are attempting to overcome the significant challenges18 associated with translating these benefits
to real-world settings. Further study of the experimental
approach for its implications on healthcare work conditions and occupational hazards19,20 is planned; future application testing may address rural, remote, and/or specialized
environments.
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Ou t-of -Hospital C ard iac A rrest (O HCA)
Table 3. Comparison of in-transit provider heart rates by study group during first and second simulations.
Control Group
Experimental Group
(Standard out-of-hospital cardiac arrest
resuscitation protocol and equipment;
median and inter-quartile ranges)
(Experimental out-of-hospital cardiac arrest
resuscitation protocol and equipment;
median and inter-quartile ranges)
Between
group
pψ
Basic Life Support provider (EMT-B; n=10)
Workload Metric (units)
Resting heart rate (bpm)
73
(67–76)
77
(67–85)
0.45
Predicted maximal heart
rate (mHR; bpm)ω
190
(189–192)
191
(190–191)
0.91
Resting heart rate as
percentage of mHR (%)
38.2%
(35.4%–42.2%)
40.5%
(35.1–44.7)
0.62
In-simulation change in
average heart rate during
transport (ΔHR from resting
heart rate; bpm)
In-simulation average heart
rate during transport as
percentage of mHR (%)
Simulation 1
Simulation 2
Δ
pψ
Simulation 1
Simulation 2
Δ
pψ
+80.7
(72.9–92.1)
+82.8
(77.8–94.0))
+5.8
(4.6–13.8)
0.49
+64.6
(55.9–83.8)
+57.0
(41.2–63.5)
-9.7
(-20.8–-0.6)
0.24
<0.01λ
77.2%
70.2%
-5.1%
79.8%
83.1%
+3.0%
0.31
0.31
(66.2%–85.6%) (56.9%–77.8%) (-10.9%–-0.3%)
(77.7%–86.6%) (80.7%–87.2%) (2.4%–7.3%)
<0.01λ
Advanced Life Support provider (EMT-I/C/P n=10)
Workload Metric (units)
Resting heart rate (bpm)
70
(62–81)
75
(70–79)
0.67
Predicted maximal heart
rate (mHR; bpm)ω
185
(177–188)
186
(184–189)
0.47
Resting heart rate as
percentage of mHR (%)
36.8%
(35.5%–44.0%)
39.6%
(36.9–43.2)
0.76
In-simulation change in
average heart rate during
transport (ΔHR from resting
heart rate; bpm)
In-simulation average heart
rate during transport as
percentage of mHR (%)
Simulation 1
Simulation 2
Δ
pψ
Simulation 1
Simulation 2
Δ
pψ
+66.7
(53.0–83.1)
+67.8
(52.5–76.1)
+0.3
(-9.7–4.3)
0.94
+73.2
(52.9–76.1)
+43.4
(38.2–68.3)
-23.6
(-29.4–-11.3)
0.04
0.02λ
76.1%
67.0%
-12.3%
77.3%
72.3%
+0.2%
0.02
0.71
(70.6%–85.4%) (62.8%–74.1%) (-16.0%–-6.1%)
(73.9%–80.1%) (70.1%–82.1%) (-5.3%–2.6%)
0.02λ
ψ
Mann-Whitney U test ωPredicted maximum heart rate = 208 − (0.7 × age) using Tanaka formula [14]
λ
Between-simulation ΔHR or Δ%mHR by group (Δ[Δ]) Key: bpm = beats per minute; HR = heart rate
Limitations
The research program budget and difficulties with subject
recruitment limited the sample size, which resulted in a
failure of randomization for ALS providers’ levels of clinical experience. Healthy, young subjects were studied as
impromptu two-provider teams without shared work backgrounds. The accuracy of HR data extraction by OPR is
unknown. The simulation method and HR monitoring setup
may have acted as confounders when studying subject performance and exertion; the ability of study findings to be
translated to live settings is unknown. Provider performance
and exertion were not evaluated inside EMS vehicles.
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C onclu sion
An experimental SCA resuscitation approach with taskautomating devices improved the in-simulation quality of
select in-transit task performance and reduced EMS provider
exertion.
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Ou t-of -Hospital C ard iac A rrest (O HCA)
References
1. Odegaard S, Olasveengen T, Steen PA, Kramer-Johansen J. The
effect of transport on quality of cardiopulmonary resuscitation in
out-of-hospital cardiac arrest. Resuscitation. 2009; 80(8): 843-8.
2. Gassler H, Ventzke MM, Lampl L, Helm M. Transport with
ongoing resuscitation: A comparison between manual and mechanical compression. Emerg Med J. 2013; 30(7): 589-92.
3. Lyon RM, Crawford A, Crookston C, Short S, Clegg GR. The
combined use of mechanical CPR and a carry sheet to maintain
quality resuscitation in out-of-hospital cardiac arrest patients
during extrication and transport. Resuscitation. 2015; 93: 102-6.
4. Choi B, Asselin N, Pettit CC, Dannecker M, Machan JT, Merck DL, Merck LH, Suner S, Williams KA, Jay GD, Kobayashi
L. Simulation-based Randomized Comparative Assessment of
Out-of-Hospital Cardiac Arrest Resuscitation Bundle Completion by Emergency Medical Service Teams Using Standard Life
Support or an Experimental Automation-assisted Approach.
Simul Healthc. 2016;11(6): 365-75.
5. Asselin N, Choi B, Pettit CC, Dannecker M, Machan JT, Merck DL, Merck LH, Suner S, Williams KA, Jay GD, Kobayashi L.
Comparative Analysis of Emergency Medical Service Provider
Workload during Simulated Out-of Hospital Cardiac Arrest Resuscitation Using Standard versus Experimental Protocols and
Equipment. Simul Healthc. 2018 Dec;13(6): 376-386.
6. Valenzuela TD, Kern KB, Clark LL, Berg RA, Berg MD, Berg DD,
Hilwig RW, Otto CW, Newburn D, Ewy GA. Interruptions of
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7. Chan PS, Krumholz HM, Nichol G, Nallamothu BK; American
Heart Association National Registry of Cardiopulmonary Resuscitation Investigators. Delayed time to defibrillation after in
hospital cardiac arrest. N Engl J Med 2008; 358(1): 9-17.
8. Kramer-Johansen J, Edelson DP, Losert H, Kohler K, Abella BS.
Uniform reporting of measured quality of cardiopulmonary resuscitation (CPR). Resuscitation. 2007; 74(3): 406-17.
9. Ong ME, Mackey KE, Zhang ZC, Tanaka H, Ma MH, Swor R, Shin
SD. Mechanical CPR devices compared to manual CPR during
out-of-hospital cardiac arrest and ambulance transport: A systematic review. Scand J Trauma Resusc Emerg Med. 2012; 20:39.
10. Ventzke MM, Gassler H, Lampl L, Helm M. Cardio pump reloaded: In-hospital resuscitation during transport. Intern Emerg
Med. 2013; 8(7):621-6.
11. Weisfeldt ML, Sitlani CM, Ornato JP, Rea T, Aufderheide TP,
Davis D, Dreyer J, Hess EP, Jui J, Maloney J, Sopko G, Powell J,
Nichol G, Morrison LJ, ROC Investigators. Survival after application of automatic external defibrillators before arrival of the
emergency medical system: Evaluation in the resuscitation outcomes consortium population of 21 million. J Am Coll Cardiol.
2010; 55(16): 171312. McCall MJ, Reeves M, Skinner M, Ginifer C, Myles P, Dalwood
N. Paramedic tracheal intubation using the intubating laryngeal
mask airway. Prehosp Emerg Care. 2008; 12(1):30-4.
13. Burns JB, Jr., Branson R, Barnes SL, Tsuei BJ. Emergency airway
placement by EMS providers: Comparison between the King LT
supralaryngeal airway and endotracheal intubation. Prehosp Disaster Med. 2010; 25(1):92-5.
14. Hubble MW, Wilfong DA, Brown LH, Hertelendy A, Benner RW.
A meta-analysis of prehospital airway control techniques part
II: Alternative airway devices and cricothyrotomy success rates.
Prehosp Emerg Care. 2010; 14(4): 515-30.
15. Weiss SJ, Ernst AA, Jones R, Ong M, Filbrun T, Augustin C, Barnum M, Nick TG. Automatic transport ventilator versus bag
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16. Reades R, Studnek JR, Vandeventer S, Garrett J. Intraosseous
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17. Tanaka H, Monahan KD, Seals DR. Age-predicted maximal
heart rate revisited. J Am Coll Cardiol. 2001; 37(1): 153-6.
18. Perkins GD, Lall R, Quinn T, Deakin CD, Cooke MW, Horton
J, Lamb SE, Slowther AM, Woollard M, Carson A, Smyth M,
Whitfield R, Williams A, Pocock H, Black JJ, Wright J, Han K,
Gates S, PARAMEDIC Trial Collaborators. Mechanical versus
manual chest compression for out-of hospital cardiac arrest
(PARAMEDIC): A pragmatic, cluster randomised controlled trial. Lancet. 2015; 385(9972): 947-55.
19. Havel C, van Tulder R, Schreiber W, Haugk M, Richling N,
Trimmel H, Malzer R, Herkner H. Randomized crossover trial comparing physical strain on advanced life support providers during transportation using real-time automated feedback.
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Financial Support and Sponsorship
This material is based upon work supported by the Lifespan Medical
Simulation Center and the Department of Emergency Medicine at
Alpert Medical School of Brown University. Dr. Asselin received a
Resident Scholarly Research Grant from the Department of Emergency Medicine at Alpert Medical School to conduct work on the
materials presented. The authors would also like to acknowledge
Physio-Control for their unrestricted loan of a LUCAS2 device.
Disclaimer
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of Lifespan Medical Simulation Center or
the Department of Emergency Medicine, Alpert Medical School of
Brown University.
Authors
Leo Kobayashi, MD, Director of Research and Innovation, Lifespan
Medical Simulation Center;Professor of Emergency Medicine,
Alpert Medical School of Brown University.
Nicholas Asselin, DO, MS, Director of Senior Resident EMS
Education, Department of Emergency Medicine; Assistant
Professor of Emergency Medicine, Clinician Educator, Alpert
Medical School of Brown University.
Bryan Choi, MD, MPH, Division of EMS, Department of
Emergency Medicine; Assistant Professor of Emergency
Medicine, Alpert Medical School of Brown University.
Max Dannecker, NREMT, Lead Simulation Technician, Seattle
Children’s Hospital.
Kenneth A. Williams, MD, FACEP, FAEMS, Director, Division
of EMS, Department of Emergency Medicine; Professor
of Emergency Medicine, Alpert Medical School of Brown
University; RI Department of Health Center for EMS Medical
Director.
Correspondence
Leo Kobayashi, MD
Lifespan Medical Simulation Center
1 Hoppin St.
Providence, RI 02903
401-444-6237
LKobayashi@Lifespan.org
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Ou t-of -Hospital C ard iac A rrest (O HCA)
Pilot Study of the Effect of a Protocol of 30 Minutes of Scene Care
in Out-of-Hospital Cardiac Arrest in Rhode Island
Jonathan Thorndike, MD; Carlin Chuck, NREMT; Janette Baird, PhD; Nicholas Asselin, DO, MS
A bstract
Table 1. Comparison of Rhode Island EMS scope of practice in OHCA.
B ackgro und : Improved outcomes in out-of-hospital
cardiac arrest (OHCA) have been demonstrated with increased focus on high-quality CPR. In 2017, the RI Department of Health mandated 30 minutes of on-scene
CPR for atraumatic cardiac arrest victims. The effects of
this intervention are unknown.
Intervention
Airway
M ethod s: An EMR query was performed to identify
OHCA cases presenting to a Lifespan hospital during the
months of March 2016 (pre-intervention) and March 2017
(post-intervention) with an estimated severity index of 1
or cardiac arrest.
Vascular
Access
EMT Basic
AEMT - Cardiac
Paramedic
Bag Valve Mask
Bag Valve Mask
Bag Valve Mask
Supraglottic
Airway
Supraglottic
Airway
Supraglottic
Airway
Endotracheal
Intubation
Endotracheal
Intubation
Intraosseous
Intraosseous
Intravenous
Intravenous
Basic ACLS:
Basic ACLS plus:
Epinephrine
Magnesium
Lidocaine
Vasopressors
Amiodarone
Procainamide, etc
Manual
Defibrillation
Manual
Defibrillation
None
P rimary Results : 63 cases of OHCA were identified.
ROSC at ED presentation increased in the post-intervention period, though it was not statistically significant
(12% vs 22%, CI = -0.01,0.25 vs. 0.09,0.35). Endotracheal
intubation and ACLS medication use increased as well.
C onc lusions: This pilot study of a protocol empha-
sizing on-scene CPR in urban Rhode Island resulted in
changes in pre-hospital OHCA management and there
was a trend toward increased ROSC in the post-intervention period.
Keyword s: Cardiac Arrest, Emergency Medical Services,
ROSC
Introd u ction
Over the past 10 years, studies focusing on the provision of
pit-crew style “high-quality CPR” have suggested that there
are significant benefits from “high-quality CPR,” compared
with traditional CPR among patients with out-of-hospital
cardiac arrest (OHCA). These benefits include increased
survival to admission and hospital discharge, as well as
improved neurologic function at discharge.1,2 Focus on the
provision of “high-quality CPR” is predicated on the idea
that initial on-scene resuscitation eliminates potential degradation in CPR quality due to patient moving, transport,
packaging, and other factors. These studies have mostly
been conducted in high-functioning emergency medical
service (EMS) systems with aggressive medical control and
leadership, central organization and a high proportion of
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Medications
Electrical
Therapy
No ACLS
Automated
External
Defibrillation
paramedic-level EMS personnel. Rhode Island EMS providers are predominantly “EMT-Cardiac” level, which is a designation unique to Rhode Island and typically permits all
BLS-level interventions, as well as ACLS medications and
airway techniques, see Table 1 for EMS scope of practice in
OHCA. Additionally, prior studies have been confounded
by increased rates of cardiac catheterization, new advanced
airway equipment, hospital triage, and other changes.
Seeking to improve outcomes from OHCA, in March of
2017, the Rhode Island Department of Health instituted new
protocols requiring EMS providers to stay on the scene of an
atraumatic cardiac arrest for 30 minutes, or until return of
spontaneous circulation (ROSC) was achieved.3 Traditionally, EMS providers have been taught to transport OHCA
patients to hospitals quickly, so mandating them to remain
on scene for up to 30 minutes is controversial. According
to the American Heart Association (AHA), approximately
355,000 people each year suffer an OHCA event (110 events
per 100,000 population). Studies vary, but the overall survival rate for OHCA is anywhere from 6-12%4,5 nationally.
Extrapolating these statistics to Rhode Island’s population
of 1 million, an estimated 1,100 Rhode Islanders are having
OHCA each year, or 3 people every day.
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Ou t-of -Hospital C ard iac A rrest (O HCA)
Based on prior research demonstrating improved outcomes after the implementation of protocols centered on
high-quality CPR, we hypothesized that an increased rate
of ROSC at presentation to the ER would be seen after similar protocols were established in Rhode Island. We expected
high compliance with mandatory 30-minute on-scene CPR,
as well as increased use of medications and advanced airway
techniques.
Stu d y Desi gn an d M et h o d s
This study was conducted at Lifespan affiliate hospitals in
Rhode Island: Rhode Island Hospital (a tertiary-level, academic hospital), The Miriam Hospital, and Newport Hospital. New CPR protocols were instituted in March of 2017.
To evaluate these protocols, OHCA patients were identified
via electronic medical record query. Period 1 was chosen as
March 2016, approximately 1 year prior to the institution
of new CPR protocols. Period 2 was chosen as March 2017,
the first month after institution of new CPR protocols. The
same month pre- and post-intervention was chosen to help
limit the seasonal variability of ER presentations. The study
protocol was approved by the institutional review board.
Inclusion criteria for brief chart review included: estimated severity index6 of 1, or chief complaints of “ventricular fibrillation”, “VF”, “cardiac arrest”, “CPR”, and “code
blue.” Exclusion criteria included age <18, pregnant patients,
prisoners, and transfers. Patients who had OHCA while en
route to the hospital were also excluded, as were post-arrest
transfers from other facilities. The initial EMR query identified 214 patients. These charts were reviewed by one of the
authors (JT). Based on the EMS report, and ED physician and
nursing notes, those records deemed to be due to non-cardiac causes were then excluded, such as stroke, trauma,
primary respiratory arrest, and overdose. When unclear, the
patients were assumed to be cardiac in etiology. Post-mortem reports, inpatient notes, discharge summaries and other
inpatient data were not reviewed. After exclusion of nonOHCA patients, the total number of patients in period 1 was
25 and period 2 was 38.
These OHCA charts (n=63) were then reviewed further
and data was abstracted, including EMS run sheet narratives
and timestamps, EMS provider level (EMT-B, “cardiac” or
paramedic), EMS agency distance from hospital (median
EMS station distance to hospital), patient demographics and
comorbidities, use of automated CPR devices, airway management methods, duration of CPR, patient cardiopulmonary status at presentation to the ER, return of spontaneous
circulation (ROSC), patient disposition (to ICU, catheterization lab, morgue, etc.), and ER length of stay. The primary
outcome for the study was ROSC at presentation to the ER,
i.e., if the patient had a pulse upon arrival to the ER after
receiving treatment by EMS providers. Whether the patient
received less than 30 minutes by EMS, or greater than or
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equal to 30 minutes of CPR was coded in a binary fashion.
Data were analyzed by the new CPR protocol periods (period
1 = pre, period 2 = post). Data are reported descriptively as
counts or percentages with the appropriate 95% confidence
intervals (CI) calculated.
Res u lts
63 total patients had a complete chart review performed
(Figure 1). Average age was 64 years, and 58% of the patients
were male. 15 patients received bystander CPR. CPR devices
were commonplace, having been used in nearly half of
resuscitations with data available. Initial shockable rhythms
occurred in 18 of 58 cases with complete data. EMS was dispatched to a patient’s home in 68% of cases. 81% of patient
EMR charts had EMS charts scanned-in and available
for review.
Figure 1. Comparison of prehospital airway use between the two study
periods. Bag Valve Mask (BVM), King LT (King), Laryngeal Mask Airway
(LMA), Endotracheal Tube (ETT).
11 of these patients had ROSC at presentation to the ER.
3 of these patients were in period 1, while 8 of them were in
period 2, though this difference in ROSC was not statistically significant (12% vs 22%, CI = -0.01,0.25 vs. 0.09,0.35).
In period 1, none of the patients received 30 minutes of CPR,
while in period 2, 19 of 37 patients received 30 minutes
of CPR.
Airway use changed dramatically between the time periods (Figure 2). The majority of EMS airway management
consisted of bag-valve mask (BVM) use in period 1 (14 of 22)
while endotracheal tubes were significantly more common
in period 2 (16 of 36). EMS attempted intubation in 10 cases
in period 1, and were successful in 4 cases (40% success rate;
95%CI: 21, 59), while in period 2, intubation was attempted
in 23 cases and successful in 16 (70% success rate; 95%CI:
55, 85). Medication use was also altered; the median milligrams (mg) of epinephrine in period 1 was 2mg, while it
increased to 5mg in period 2; with some patients receiving
as much as 12mg of epinephrine.
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Figure 2. Inclusions and exclusions for both study periods.
All patients who had ROSC at presentation to the ER
(n=11) survived to admission to the hospital. Most commonly, patients were admitted to the MICU (n=6), followed
by the CCU (n=4). Notably, there was an additional cohort of
patients who did not have ROSC at presentation to the ER,
but did survive to admission (n=8); 5 of these 8 patients were
in period 1, and 2 of the 3 patients who had no ROSC at presentation to the ED but did survive to admission had ROSC
for EMS but had lost a pulse upon presentation to the ER.
Disc u ssion
This is the first study on the new CPR protocols in Rhode
Island. More broadly, prior studies on “high-quality” CPR
have studied CPR bundled with other interventions, such
as increased triage to PCI centers, have simultaneously
implemented rigorous CPR training for first responders and
EMS providers, and have been confounded by additional
interventions, such as the implementation of new airway
equipment. However, these studies have reported improved
outcomes including better neurologic outcome at discharge
and higher rates of ROSC.1,2,7-13 These studies have also
been in high-functioning EMS systems with rigorous medical control and a high proportion of paramedic-level EMS
providers. It is important to note that our study is limited
by lack of control for patient arrest characteristics, age and
comorbidities, provider level, and other factors.
This observational, retrospective pilot study reported outcomes from 63 patients suffering from OHCA treated by 16
different departments with predominantly EMT-Cardiac
level providers. While the number of patient cases of OHCA
was relatively limited in this study, and its retrospective
nature gives rise to several limitations, we did observe trends
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in management. Over the study period,
there was an increase in the number of
patients receiving 30 minutes of CPR
in compliance with the new RI Department of Health protocols, an increase
in the use of advanced airways and
increase in the amount of medications
patients received.
With respect to airway management,
supra-glottic devices and endotracheal
tubes were more common in period 2
than period 1. This likely owes to the
fact that EMS providers feel that bag
valve mask ventilation of patients for
30 minutes is inferior to advanced airway devices and may be difficult with
vomiting or the effort required for a
good face-mask seal for the entire 30
minutes. Prior literature has suggested
that patients with advanced airways,
conversely, have worse outcomes. For
example, in one retrospective cardiac arrest database, among
10,691 OHCA patients, survival was highest among patients
treated with BVM compared with other devices (OR1.31).7
While this may indicate that patients who were more likely
to have a good outcome did not require placement of an
advanced airway, such as those who woke up immediately
after defibrillation and therefore did not require additional
airway management, it is also possible that increased focus
on patient airways may have taken focus and time away from
CPR. Studies have shown that pre-hospital providers sometimes pause compressions for intubation; one study found a
median pause of 109 seconds.8 Research has found pauses in
CPR to be deleterious – one recent study of 319 defibrillator
OHCA cases, showed that increasing peri-shock pause was
associated with decreased survival.9 Though more patient
intubations were attempted during period 2 than period 1,
we cannot comment on success rates of intubation given
the small n, though success rates of pre-hospital intubation
have been cited as anywhere between 60 and 93%.10
During pre-hospital codes, patients received a variety
of medications, including epinephrine, naloxone, sodium
bicarbonate, and glucose. One patient received as much as
12mg of epinephrine, which is of questionable utility. Prior
studies have shown that epinephrine use during cardiac
arrest is associated with increased rates of ROSC, though
may ultimately worsen outcomes.9-12 In these studies,
patients receiving over 5mg of epinephrine had the lowest
odds of survival (OR 0.23), relative to patients who did not
receive epinephrine. This retrospective study is also subject
to similar confounding – that is, that patients receiving more
epinephrine had been pulseless for a longer period of time,
which is certainly associated with a worse prognosis.
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Limitations
The study was limited by the fact that EMS agencies in Rhode
Island began using the new CPR protocols at different time
periods. This study was retrospective and may not account
for confounders such as EMS training, new equipment and
apparatus, although there was no system-wide institution
of new protocols and procedures, as there has been in past
studies. EMS chart availability was not uniform, which may
also bias results. EMS providers are supposed to submit their
reports for scan into the EMR, which does not reliably occur.
Finally, researchers may have mis-categorized patients as
victims of OHCA (or excluded them as non-OHCA patients)
who were suffering from respiratory arrest, overdose or
another process. While the treatment for OHCA and pulseless arrest is CPR, a primary process other than cardiogenic
OHCA, such as overdose, might call for higher prioritization
of other treatments, such as administration of naloxone or a
secure airway. Patients suffering from respiratory arrest-induced OHCA could have worse outcomes when treated with
“high-quality CPR” than patients with VF-induced OHCA,
though this has not been studied.
Conc l u sions
Overall, we found that EMS agencies are complying with
30-minute CPR protocols. More patients had ROSC at presentation to the ER and survived to admission in period
2, post-intervention, than did in period 1, though this difference was not statistically significant. Future directions
for the project include abstraction of more data, including
expanding periods 1 and 2 to include >1 year of data, as well
as case-matching patients to more definitively determine the
effects of CPR duration on patient outcomes at presentation,
as well as neurologic function at discharge.
References
1. Hopkins CL, Burk C, Moser S, Meersman J, Baldwin C, Youngquist ST. Implementation of Pit Crew Approach and Cardiopulmonary Resuscitation Metrics for Out-of-Hospital Cardiac Arrest Improves Patient Survival and Neurological Outcome. J Am
Heart Assoc. 2016; 5(1).
2. Pearson DA, Darrell Nelson R, Monk L, et al. Comparison
of team-focused CPR vs standard CPR in resuscitation from
out-of-hospital cardiac arrest: Results from a statewide quality
improvement initiative. Resuscitation. 2016; 105: 165-72.
3. Rhode Island Statewide Emergency Medical Services Protocols.
Rhode Island Department of Health, p. 3.03a., health.ri.gov/publications/protocols/StatewideEmergencyMedicalServices.pdf.
4. Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, Turner MB. Heart Disease and Stroke Statistics – 2016
Update. Circulation. 133(4), e38–e360.
5. Becker LB, Aufderheide TP, Graham R. Strategies to Improve
Survival From Cardiac Arrest. JAMA. 2015; 314(3): 223.
6. Gilboy N, Tanabe T, Travers D, Rosenau AM. Emergency Severity Index (ESI): A Triage Tool for Emergency Department Care,
Version 4. Implementation Handbook 2012 Edition. AHRQ Publication No. 12-0014. Rockville, MD. Agency for Healthcare Research and Quality. November 2011.
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7. Stopyra JP, Courage C, Davis CA, Hiestand BC, Nelson RD,
Winslow JE. Impact of a “Team-focused CPR” Protocol on
Out-of-hospital Cardiac Arrest Survival in a Rural EMS System.
Critical Pathways in Cardiology. 2016; 15(3): 98–102.
8. McMullan J, Gerecht R, Bonomo J, Robb R, McNally B, Donnelly J, Wang HE. Airway management and out-of-hospital cardiac arrest outcome in the CARES registry. Resuscitation. 2014;
85(5): 617–622.
9. Wang HE, Simeone SJ, Weaver MD, Callaway, CW. Interruptions in Cardiopulmonary Resuscitation From Paramedic Endotracheal Intubation. 2009; 54(5): 645–652.
10. Brouwer TF, Walker RG, Chapman FW, Koster RW. Association
Between Chest Compression Interruptions and Clinical Outcomes of Ventricular Fibrillation Out-of-Hospital Cardiac Arrest. Circulation. 2015; 132(11): 1030–1037.
11. Wang HE, Sweeney TA, O’connor RE, Rubinstein H. Failed
prehospital intubations: an analysis of emergency department
courses and outcomes. Prehosp Emerg Care. 2001; 5(2): 134-41.
12. Andersen LW, Kurth T, Chase M, et al. Early administration of
epinephrine (adrenaline) in patients with cardiac arrest with
initial shockable rhythm in hospital: propensity score matched
analysis. BMJ. 2016; 353: i1577.
13. Dumas F, Bougouin W, Geri G, et al. Is epinephrine during cardiac arrest associated with worse outcomes in resuscitated patients? J Am Coll Cardiol. 2014; 64(22): 2360-7.
Disclaimer
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Department of Emergency Medicine,
Alpert Medical School of Brown University.
Authors
Jonathan Thorndike, MD, PGY-4, Brown University Residency in
Emergency Medicine.
Carlin Chuck, NREMT, Brown University and Brown University
EMS.
Janette Baird, PhD, Associate Professor of Emergency Medicine
(Research), Alpert Medical School of Brown University.
Nicholas Asselin, DO, MS, Director of Senior Resident EMS
Education, Assistant Professor of Emergency Medicine,
Clinician Education, Alpert Medical School of Brown
University.
Correspondence
Jonathan Thorndike, MD
Brown Emergency Medicine Residency
55 Claverick Street, Suite 100, Providence RI, 02903
401-444-5826
Jonathan.thorndike@lifespan.org
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Case Report: Intact Survival Following Prolonged Out-of-Hospital
Cardiac Arrest Care
Joseph Lauro, MD, FACEP; David Lindquist, MD; Evan Katz, AEMT-C; Nicholas Asselin, DO, MS
Keyword s: Cardiac Arrest, Emergency Medical Services,
Systems of Care
Case Report
A 57-year-old woman with a past medical history of diabetes, was found lying in bed and apneic by her partner, who
activated 911. No bystander CPR was performed. An ambulance with two EMS providers, and a fire engine with three
EMS providers, arrived on scene within 4 minutes of initial dispatch. The patient was found pulseless and apneic.
Continuous manual compressions were performed by a single responder until a mechanical compression device was
attached to the patient. The patient’s airway was initially
secured with an oropharyngeal airway (OPA) and ventilations administered via a bag-valve mask. The first electrocardiogram detected pulseless electrical activity. The OPA
was removed in favor of successful placement of a laryngeal
mask airway (LMA). Bag-valve ventilations were continued
with high-flow oxygen.
After an unsuccessful IV attempt, an intraosseous (IO)
device was used to establish access in the right humeral head
and 1 milligram of epinephrine 1;10,000 was administered
via IO push. A full cycle of CPR was performed and a second rhythm check detected ventricular fibrillation. A shock
was delivered at 120 joules, bi-phasic, and an additional
milligram of epinephrine was administered via IO push.
The third rhythm check showed ventricular fibrillation and
an additional shock was delivered at 150 joules, bi-phasic.
Epinephrine and CPR were continued per ACLS protocols.
After 30 minutes of unsuccessful on-scene resuscitation
EMS crews moved the patient via bag stretcher while the
mechanical compression device continued chest compressions. EMS crews transferred care to emergency department
personnel with CPR in progress 42 minutes after initial
patient contact.
Upon arrival to the ED, the patient was without spontaneous respirations, and remained pulseless. Her pupils
were fixed and dilated. The patient was intubated via
direct laryngoscopy. The patient was noted to have a wide
complex tachycardia without pulses. Defibrillation was
attempted but unsuccessful. CPR was continued while the
patient received lidocaine 100 mg, calcium gluconate 1g,
insulin 10 units IV, and D50 IV. Amiodarone was subsequently administered, along with magnesium sulfate 1g IV.
Return of spontaneous circulation (ROSC) was achieved but
subsequently lost approximately 63 minutes after initial
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EMS-patient contact. CPR was continued and the patient
was next started on dopamine followed by norepinephrine.
ROSC was re-achieved.
The patient’s initial EKG showed a wide complex junctional rhythm with a rate of 75. Subsequent EKGs demonstrated a sinus tachycardia with a narrowed QRS complex
and a RBBB. A bedside echocardiogram demonstrated no significant wall motion abnormality, no RV dilation, no pericardial effusion, and no evidence of pulmonary hypertension.
A chest x-ray confirmed endotracheal tube placement and
demonstrated pulmonary edema. Initial laboratory studies
revealed an elevated creatinine (1.78 mg/dl) and glucose
(485 mg/dl), and an anion gap of 19. The patient’s wbc was
14,000, with 7% bandemia.
Additional history from the family revealed a prior hospital presentation for hypercalcemia, a recent thyroidectomy,
and concern for parathyroid complications. The family also
reported that the patient had been experiencing 2-3 days of
severe diarrhea. Due to the severity of illness and recent surgical history, the patient was transferred to a tertiary care
center via a critical care transport team.
During transport and at the tertiary care center, the patient
became more alert, requiring sedation and analgesia, while
the patient’s blood pressure was tenuous and she received
push-dose administration of epinephrine and titration of
vasopressors. A CT scan of the chest and abdomen was negative for pulmonary embolism, but did demonstrate several
rib fractures and a Thoracic vertebral fracture. Laboratory
studies revealed mild hypokalemia and hypercalcemia. The
patient was transferred to the Intensive Care Unit. A subsequent MRI did not show any cord signal abnormality.
Discu ssion
High quality CPR encompasses five key components: Minimizing interruptions in chest compressions, providing compressions of adequate rate and depth, avoiding leaning on the
chest between compressions and avoiding excessive ventilation. A recent study1 comparing on scene to transport chest
compressions revealed that compressions during transport
are significantly worse than on scene compressions. In
an effort to enhance prehospital resuscitative efforts and
improve survival from out-of-hospital cardiac arrest (OHCA)
the RI Department of Health, Center for EMS, in conjunction
with the RI Ambulance Service Advisory Board, updated the
cardiac arrest protocol reflecting these priorities.
In March 2017 the RI Department of Health released new
protocols2 requiring EMS providers to remain on scene for
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Ou t-of -Hospital C ard iac A rrest (O HCA)
30 minutes for both witnessed and unwitnessed OHCA.
This was prompted by the evidence supporting worsened
outcomes with interruptions in compressions3 which are
associated with a decrease in coronary and cerebral perfusion
pressures requiring up to a minute of continuous compressions to achieve sufficient perfusion pressures. By remaining
on scene, EMS providers are able to focus on resuscitative
efforts such as early epinephrine administration, airway
management and most importantly, minimally interrupted
CPR as opposed to focusing on packaging and transporting
the patient to the hospital. The duration of scene time was
determined through a literature search, showing cases of
successful OHCA management with ROSC after long field
resuscitation.4
As part of ongoing quality improvement efforts, data were
collected (some presented in this journal) to better understand the impact of the RI EMS Protocol changes.5 Prior to
these protocol changes, standard practice was to “scoop and
run” with OHCA patients. This generated some resistance
to remaining on scene for an extended time, largely based
upon the potential for increased resource utilization and
need for mutual aid in busy systems. Public perception surrounding OHCA care was likely a major factor in this as well.
During the implementation phase excessive attention
remained on the actual time on scene; however, as EMS
providers became more comfortable with the protocol, the
focus shifted to strategies to minimize interruptions in
compressions and deliver high quality CPR. This “pit crew”
approach to OHCA,6 adopted in numerous EMS systems
nationally, where providers treat patients aggressively at the
site of collapse, has been associated with improved patient
outcomes and increased rates of ROSC.6-8
Public and provider education, engagement of major
stakeholders and engaged medical direction are key factors
in implementation of protocols such as the “30-minute CPR
protocol.” As we move forward and collect prospective data
we anticipate that a specific time requirement on scene may
be enhanced by a protocol to resuscitate most OHCA on
scene until ROSC or futility is achieved.
Case C onc l u sion
In the MICU the patient was weaned from vasopressors and
was eventually extubated on hospital day 5, and placed in a
brace for her spinal fracture. She required extensive Physical
and Occupational Therapy, and was discharged on hospital
day 25 to a skilled nursing facility. At the time of discharge,
she was noted to have some mild cognitive deficits versus
delirium of hospitalization. She was evaluated by cardiology and felt not to be a candidate for Automated Implantable Cardioverter Defibrillator placement, as there was little
evidence her cardiac arrest was cardiogenic in nature. Based
upon her most recent visits, we infer her Pittsburgh Cerebral
Performance Category9 (CPC) to be 2 – Moderate disability
but independent in activities of daily living.
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References
1. Russi CS, Myers LA, Kolb LJ, Lohse CM, Hess EP, White RD. A
Comparison of Chest Compression Quality Delivered During
On-Scene and Ground Transport Cardiopulmonary Resuscitation. West J Emerg Med. 2016 Sep; 17(5): 634-9.
2. Rhode Island Statewide Emergency Medical Services Protocols.
Rhode Island Department of Health, p. 3.03a. Accessed at:
health.ri.gov/publications/protocols/StatewideEmergencyMedicalServices.pdf
3. Brouwer TF, Walker RG, Chapman FW, Koster RW. Association
Between Chest Compression Interruptions and Clinical Outcomes of Ventricular Fibrillation Out-of-Hospital Cardiac Arrest. Circulation. 2015; 132(11): 1030–1037.
4. Rajan S, Folke F, Kragholm K, Hansen CM, Granger CB, Hansen
SM, Peterson ED, Lippert FK, Sondergaard KB, Kober L, Gislason GH, Torp-Pederen C, Wissenberg M. Prolonged cardiopulmonary resuscitation and outcomes after out-of-hospital cardiac
arrest. Resuscitation. 2016 Aug; 105: 45-51.
5. Thorndike J, Chuck C, Baird J, Asselin N. Effects of an isolated 30-Minute CPR Protocol on Out-of-Hospital Cardiac Arrest
(OHCA). Abstracts for the 2019 NAEMSP Scientific Assembly.
Prehospital Emergency Care. 2019; 23(1): 148.
6. Hopkins CL, Burk C, Moser S, Meersman J, Baldwin C, Youngquist ST. Implementation of Pit Crew Approach and Cardiopulmonary Resuscitation Metrics for Out-of-Hospital Cardiac Arrest Improves Patient Survival and Neurological Outcome. J Am
Heart Assoc. 2016; 5(1).
7. Pearson DA, Darrell nelson R, Monk L, et al. Comparison of
team-focused CPR vs standard CPR in resuscitation from
out-of-hospital cardiac arrest: Results from a statewide quality
improvement initiative. Resuscitation. 2016; 105: 165-72.
8. Stopyra JP, Courage C, Davis CA, Hiestand BC, Nelson RD,
Winslow JE. Impact of a “Team-focused CPR” Protocol on
Out-of-hospital Cardiac Arrest Survival in a Rural EMS System.
Critical Pathways in Cardiology. 2016; 15(3): 98–102.
9. Ajam K, Gold LS, Beck SS, Damon S, Phelps R, Rea TD. Reliability of the Cerebral Performance Category to classify neurological status among survivors of ventricular fibrillation arrest:
a cohort study. Scandinavian Journal of Trauma, Resuscitation
and Emergency Medicine. 2011; 19:38.
Disclaimer
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Department of Emergency Medicine,
Alpert Medical School of Brown University or the Newport Fire
Department.
Authors
Joseph Lauro, MD, FACEP, EMS Medical Director, Miriam and
Newport Hospitals; Clinical Associate Professor of Emergency
Medicine, Alpert Medical School of Brown University;
Associate Medical Director, Cumberland Paramedics.
David Lindquist, MD, Director of Teamwork Training, Lifespan
Medical Simulation Center; Associate Professor of Emergency
Medicine, Clinician Educator, Alpert Medical School of Brown
University.
Evan Katz, AEMT-Cardiac, Newport Fire Department.
Nicholas Asselin, DO, MS, Director of Senior Resident EMS
Education, Brown Emergency Medicine; Assistant Professor
of Emergency Medicine, Clinician Educator, Alpert Medical
School of Brown University.
Correspondence
Joseph Lauro, MD, FACEP
EMS Division, Brown Emergency Medicine
55 Claverick Street, Suite 100, Providence, RI 02903
401-444-5826
joseph.lauro@brownphysicians.org
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Pediatric Out-of-Hospital Cardiac Arrest in Rhode Island:
Concepts and Controversies
Tanya Sutcliffe, MD; Nicholas Asselin, DO, MS; Linda Brown, MD, MSCE
A BST RA C T
Pediatric out-of-hospital cardiac arrest (POHCA) is an
infrequently encountered event by emergency medical providers, both across Rhode Island and nationally.
The etiologies of these events differ from those in adult
cardiac arrests and overall outcomes remain poor. The
skills required by emergency medical providers to care
for these patients are performed and practiced infrequently. Pediatric patients are also at further risk of serious
adverse events secondary to challenges with airway management and variation in equipment sizing and weightbased medication dosing. Recent changes to Rhode Island
Emergency Medical Services protocols, particularly the
requirement for all non-traumatic cardiac arrests to be
managed on scene for a minimum of 30 minutes, have
led to discussion and controversy. As we aim to improve
the quality of care delivered during these resuscitations
through education, research and collaborative protocol
development, it is important to recognize and remain
focused on the unique aspects of these pediatric patients.
KE YWORDS: Pediatrics, Cardiac Arrest, Emergency
Medical Services
INTRO DU C T I O N
Pediatric out-of-hospital cardiac arrests make up less than
10% of Emergency Medical Service (EMS) resuscitations in
the field and are often associated with poor outcomes.1 Adult
literature for out-of-hospital cardiac arrests (OHCA) has
demonstrated improvement in outcomes following longer
durations of cardiopulmonary resuscitation (CPR) prior to
transport.2 This approach stems from an understanding that,
in adults, high-quality and minimally-interrupted CPR and
early defibrillation are the key to improved survival. As a
result, some EMS systems have altered protocols to encourage aggressive on-scene resuscitation in cases of adult OHCA.
This approach has been recently been applied to the pediatric
population and, in the updated 2017 Rhode Island EMS protocols, 30 minutes of on-scene CPR for POHCA was endorsed.
This change has resulted in further discussion and some
controversy, given the heterogeneity of pediatric patients
and the differences in the pathophysiology of pediatric and
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adult cardiac arrests. In this article, we aim to examine
the relevant literature and discuss the potential controversies that exist in the prehospital management of POHCA.
The American Heart Association (AHA) recently released
new statistics reporting an annual incidence of EMS-assessed POHCA of approximately 7,000 cases compared to
nearly 340,000 in adults.3 With these relatively low numbers,
despite medical advances and efforts to increase training in
pediatric resuscitation, POHCA events have continued poor
neurologically-intact survival rates. This is in stark contrast
to increases in survival outcomes from pediatric in-hospital
cardiac arrests, where data from the Get With the Guidelines-Resuscitation registry reported a nearly threefold
improvement from 2000–2009 with no worsening in neurologic outcomes.4
While there is a steadily growing body of literature regarding POHCA, it remains limited when compared to adult
studies. Most published studies are retrospective and observational in nature, while some include the extrapolation of
more robust adult data to the pediatric population. 5 The primarily cardiac etiology and larger numbers of adult arrests
makes these events easier to study and therefore protocolize,
whereas the etiology of pediatric arrests varies based on age,
pathophysiology, and mechanism, resulting in more complicated and variable management for medical providers.
Rhode Island is unique given its small geographic size,
with a population of only 1,059,639 according to 2016–2017
estimates. Children under 18 years of age make up 19.7% of
the population. There are currently 87 licensed EMS agencies in RI with 4,779 licensed practitioners and in 2017 there
were 183,902 documented EMS calls reported. Due to its
geography, most areas of Rhode Island have short transport
times to the closest emergency department. However, there
is only a single Level 1 Pediatric Trauma Center, which can
be distant from more rural areas. This information must be
considered when determining optimal EMS protocols.
P OHC A ETIOLOGY
One of the factors complicating improvement in POHCA
care may be the variable etiology of these arrests. The most
common causes of POHCA’s are trauma, sudden infant death
syndrome (SIDS), respiratory disease and submersion.6-8 The
majority of cardiac rhythms found in the field are asystole
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and PEA, with shockable rhythms making up less than 10%
of pediatric arrests. This is significant and likely affects neurologically-intact survival rates, as evidence demonstrates
that the presence of a shockable rhythm, such as ventricular fibrillation or ventricular tachycardia, on initial evaluation is associated with improved outcomes in children
and adults.6-9
The majority of pediatric out-of-hospital cardiac arrests
occur in children under the age of five years, with patients
less than one year of age making up nearly half of these
events.10 SIDS is a common cause in this age group and etiology can often not be determined. However, many experts
suspect there is a respiratory component given the decline in
infant deaths following the Back-to-Sleep movement.11 Pediatric arrests in the less than one-month age group in particular have further considerations due to the higher risk of
sepsis, undiagnosed congenital heart defects, inborn errors
of metabolism and increased vulnerability to respiratory illnesses.3,11 As such, particularly in the infant age group, it
may be difficult to immediately elucidate the cause of cardiac arrests in the field, and therefore the approach to these
arrests may be more difficult to protocolize.
PED I AT RI C RES U S C I TAT I O N C H ALLE NG ES
IN TH E F I ELD
Other challenges unique to pediatrics can occur during resuscitations in the field. While the new EMS protocols exclude
trauma in their 30-minute on-scene CPR recommendations,
external findings of non-accidental trauma can be subtle
or non-existent, such as in cases of abusive head trauma.
This leaves a significant population at risk and could lead
to delays in identification and initiation of appropriate care.
Along with more subtle clinical findings, procedures in
pediatric patients are also complex. Technical variables
including equipment sizing and medication dosing, which
vary based on patient age and size, often make a difficult
situation even more stressful to medical providers and create the potential for adverse safety events.12 Given the variation in pediatric anatomy, definitive airway management
is also often more difficult than in the adult patient. The
evidence around the effect of an advanced airway on survival after OHCA is mixed; however, with several studies
supporting the use of bag and mask ventilation over endotracheal intubation in the prehospital setting and others
refuting this claim.10,13-15 With any method of airway management, however, prehospital providers have limited training and hands-on experience in pediatric patients. Published
data regarding the ability of prehospital providers to manage
the pediatric airway reveal that the majority has little or no
experience with these critical procedures.10,16 There is further evidence that pediatric continuing education is limited
for many providers, and that rarely utilized pediatric skills,
especially those learned outside of the clinical environment,
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deteriorate quickly.17-18 This lack of exposure to POHCA,
minimal ongoing experience with important management
guidelines and procedures, and limited pediatric continuing
education can lead to critical delays and errors in care.
PEDIATRIC RESUSCITATION EFFORTS/PEDIATRIC
ARREST AND 30-MINute CPR IN THE FIELD
In the spring of 2017, Rhode Island updated the state EMS
protocols, including updates to the pediatric cardiac arrest
protocol. This updated protocol states, “Regardless of proximity to a receiving facility, absent concern for provider
safety or a traumatic etiology for cardiac arrest, resuscitative efforts should continue for a minimum of 30 minutes
prior to moving the patient to the ambulance or transporting
the patient.” This change is supported by adult literature
that demonstrates improved outcomes for patients 18 years
and older receiving 30 minutes of CPR for out-of-hospital
cardiac arrests.2 These improved outcomes are largely felt
to be due to the detrimental impact of patient transport on
high-quality CPR, along with the primarily cardiac etiology
of adult arrests. The pediatric literature is less clear.
As previously stated, outcomes for POHCA in general are
poor;1 Tijssen et al, however, found that pediatric out-of-hospital cardiac arrests had improved outcomes with prehospital CPR times ranging from 10–35 minutes.19 Banerjee et
al found improved neurologic outcomes in early on-scene
management of POHCA in a single county after initiation of
targeted pediatric training and physiologic-driven procedures
with on-scene resuscitation time average approximately 17
minutes.20 Young et al, however, found no good neurologic
outcomes in survivors who received greater than 31 minutes of CPR. A recent large retrospective study in Japan that
examined POHCA and CPR duration found favorable 30-day
survival with good neurologic outcome occurred in <1% of
patients who received prehospital CPR of 42 minutes duration or longer. It is notable that this study only looked at
ROSC obtained in the field, excluding the analysis of over
80% of POHCA in which ROSC was not obtained. In addition, epinephrine was administered less than 50% of the time
in those POHCA in which ROSC was obtained, which does
not follow standard protocols in the US.6 As such, it is possible that the extrapolation of an adult protocol to the pediatric population may result in unintended harm by potentially
delaying access to more definitive care by focusing only
on the aspect of prolonged scene time and not on pediatric specific resuscitation training and high-quality CPR.
Discussion of length of on-scene resuscitation for pediatric
cardiac arrest creates a paradox, where one group of POHCA
patients, such as older children and adolescents who have
anatomical and physiologic similarities to adult patients,
may benefit from prolonged on-scene resuscitation, while
another, younger children and infants, may not. It is without
question that the delivery of high-quality CPR is the primary
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factor in improving survival from cardiac arrest and education and training around this is critical. Other interventions
that have been reported to increase survival from out of hospital cardiac arrest, and should be considered for use across
Rhode Island include, dispatcher-assisted CPR, “pit-crew”
approaches to teamwork, and real-time CPR feedback. In
particular, RI lacks a system of formalized telecommunicator CPR, a resource which many states use to provide
instructions to families over the phone, initiating resuscitation earlier, which can lead to improved outcomes. The
challenge is in crafting resuscitation protocols that identify
those who will benefit from protocols encouraging aggressive on-scene resuscitation, and those who would not. In
Rhode Island, while it may take significant time, the development of a robust registry of POHCA cases may give valuable guidance to policymakers as well as pediatric emergency
medicine and EMS physicians.
CON C LUS I O N
Pediatric out-of-hospital cardiac arrests require prehospital
providers to give careful thought to the etiology of the event
while simultaneously delivering high quality resuscitative
care. Acknowledging this complex process may prove relevant in the discussion around the utility of longer on-scene
resuscitative efforts. The relative rarity of these events also
highlights the importance of education for prehospital providers on specific skills and knowledge for pediatric patients.
Given the complexities of pediatric out-of-hospital cardiac
arrests, and the scarcity of literature currently available on
this topic, careful deliberation regarding the protocolizing
of pediatric prehospital care must be given. Only through
the recognition of the unique qualities of pediatric patients,
the continued collaboration between prehospital and pediatric experts, the encouragement of ongoing pediatric specific
training, and the call for increased prehospital pediatric-specific research, will we improve the outcomes for all children.
References
1. Donoghue AJ, Nadkarni V, Berg RA, et al. Out-of-hospital pediatric cardiac arrest: an epidemiologic review and assessment of
current knowledge. Ann Emerg Med 2005;46(6):512-22.
2. Goto Y, Funada A, Goto Y. Relationship Between the Duration
of Cardiopulmonary Resuscitation and Favorable Neurological
Outcomes After Out-of-Hospital Cardiac Arrest: A Prospective,
Nationwide, Population-Based Cohort Study. J Am Heart Assoc
2016;5(3):e002819.
3. Mozaffarian D, Benjamin EJ, Go AS, et al. Heart disease and
stroke statistics--2015 update: a report from the American Heart
Association. Circulation 2015;131(4):e29-322.
4. Girotra S, Spertus JA, Li Y, et al. Survival trends in pediatric in-hospital cardiac arrests: an analysis from Get With the
Guidelines-Resuscitation. Circulation Cardiovascular quality
and outcomes 2013;6(1):42-9.
5. McCormick T, McVaney K, Pepe PE. No small matter: pediatric
resuscitation. Current opinion in critical care 2017;23(3):193-98.
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6. Young KD, Gausche-Hill M, McClung CD, et al. A prospective, population-based study of the epidemiology and outcome
of out-of-hospital pediatric cardiopulmonary arrest. Pediatrics
2004;114(1):157-64.
7. Gerein RB, Osmond MH, Stiell IG, et al. What are the etiology
and epidemiology of out-of-hospital pediatric cardiopulmonary
arrest in Ontario, Canada? Acad Emerg Med 2006;13(6):653-8.
8. Sirbaugh PE, Pepe PE, Shook JE, et al. A prospective, population-based study of the demographics, epidemiology, management, and outcome of out-of-hospital pediatric cardiopulmonary arrest. Ann Emerg Med 1999;33(2):174-84.
9. Goto Y, Funada A, Goto Y. Duration of Prehospital Cardiopulmonary Resuscitation and Favorable Neurological Outcomes for
Pediatric Out-of-Hospital Cardiac Arrests: A Nationwide, Population-Based Cohort Study. Circulation 2016;134(25):2046-59.
10. Gausche M, Lewis RJ, Stratton SJ, et al. Effect of out-of-hospital
pediatric endotracheal intubation on survival and neurological
outcome: a controlled clinical trial. JAMA 2000;283(6):783-90.
11. Tress EE, Kochanek PM, Saladino RA, et al. Cardiac arrest in children. Journal of emergencies, trauma, and shock
2010;3(3):267-72.
12. Hansen M, Eriksson C, Skarica B, et al. Safety events in pediatric out-of-hospital cardiac arrest. The American journal of emergency medicine 2018;36(3):380-83.
13. Kang K, Kim T, Ro YS, et al. Prehospital endotracheal intubation
and survival after out-of-hospital cardiac arrest: results from the
Korean nationwide registry. The American journal of emergency medicine 2016;34(2):128-32.
14. Ohashi-Fukuda N, Fukuda T, Doi K, et al. Effect of prehospital
advanced airway management for pediatric out-of-hospital cardiac arrest. Resuscitation 2017;114:66-72.
15. Jabre P, Penaloza A, Pinero D, et al. Effect of Bag-Mask Ventilation vs Endotracheal Intubation During Cardiopulmonary
Resuscitation on Neurological Outcome After Out-of-Hospital
Cardiorespiratory Arrest: A Randomized Clinical Trial. Jama
2018;319(8):779-87.
16. A prospective multicenter evaluation of prehospital airway
management performance in a large metropolitan region. Prehospital emergency care : official journal of the National Association of EMS Physicians and the National Association of
State EMS Directors 2009;13(3):304-10.
17. Glaeser PW, Linzer J, Tunik MG, et al. Survey of nationally registered emergency medical services providers: pediatric education. Annals of emergency medicine 2000;36(1):33-8.
18. Wolfram RW, Warren CM, Doyle CR, et al. Retention of Pediatric Advanced Life Support (PALS) course concepts. The Journal
of emergency medicine 2003;25(4):475-9.
19. Tijssen JA, Prince DK, Morrison LJ, et al. Time on the scene and
interventions are associated with improved survival in pediatric
out-of-hospital cardiac arrest. Resuscitation 2015;94:1-7.
20. Banerjee PR, Ganti L, Pepe PE, et al. Early On-Scene Management of Pediatric Out-of-Hospital Cardiac Arrest Can Result in
Improved Likelihood for Neurologically-Intact Survival. Resuscitation 2019;135:162-67.
Authors
Tanya Sutcliffe, MD, Department of Emergency Medicine and
Pediatrics; Assistant Professor, Emergency Medicine and
Pediatrics, Alpert Medical School of Brown University.
Nicholas Asselin, DO, MS, Director of Senior Resident EMS
Education, Department of Emergency Medicine; Assistant
Professor of Emergency Medicine, Clinician Educator, Alpert
Medical School of Brown University.
Linda Brown, MD, MSCE, Director, Lifespan Medical Simulation
Center; Associate Professor of Emergency Medicine and
Pediatrics, Alpert Medical School of Brown University.
May 2019
Rhode island medical journal
38
Ou t-of -Hospital C ard iac A rrest (O HCA)
Conflicts of Interest
Correspondence
There are no conflicts of interest.
Tanya Sutcliffe, MD
Department of Emergency Medicine
55 Claverick St., 2nd Floor
Providence RI 02903
401-444-6237
Fax 401-444-5456
tanya.sutcliffe@brownphysicians.org
Financial Support and Sponsorship
None.
Disclaimers
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Departments of Emergency Medicine and
Pediatrics, Alpert Medical School of Brown University.
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h ea lt h by numbers
Nicole E. Alexander-Scott, md, MPH
director, rhode island department of health
edited by samara viner-brown, ms
Cancers Associated with Overweight or Obesity
among Rhode Island Adults, 1995–2016
Junhie Oh, BDS, MPH; C. Kelly Smith, MSW
Rhode Island’s adult obesity rate is currently 30 percent,
up from 17 percent in 2000 and from 10 percent in 1990.1,2
Being overweight or obese can lead to a large number of
health problems, including hypertension, high cholesterol,
heart disease, diabetes, osteoarthritis, asthma, sleep apnea,
infertility, poorer mental health, body pain, and as many
as 13 types of cancers.3 Epidemiologic evidence has shown
strong associations between excess body fat and cancer risk,
explained by altering hormonal or inflammatory pathways.3,4
To better address the burden of cancers associated with
overweight or obesity among Rhode Island adults, the authors assessed statewide overweight- or obesity-associated
cancer incidence by sex, cancer type and age group, in 2016
(the most current full year of data available in the central
cancer registry), as well as incidence trends between 1995
and 2016.
M et ho d s
The Rhode Island Cancer Registry (RICR) has collected cancer case reports since October 1986. Since 1995, this effort
has been supported in part by the Centers for Disease Control and Prevention National Program of Cancer Registries
(CDC NPCR), a federally-mandated program that supports
state-based cancer surveillance and sets standards for quality, complete and timely cancer case collection and data
management.
Using the RICR data, we extracted invasive malignant
primary cancers diagnosed in adults aged 20 years and older,
from January 1, 1995 to December 31, 2016. Cancer registries have not routinely and consistently collected indicators of body fatness, throughout the data collection years.
However, other sources of information can be used to obtain
the proportion of cancer probably caused by overweight or
obesity. According to the International Agency of Research
on Cancer (IARC), 13 types are defined as “overweight- or
obesity-associated” cancers. The scientists in the group
reviewed and conducted meta-analyses and pooled analyses
with more than a thousand studies. They found solid evidence that being overweight or obese increases the risk for
at least 13 types of cancer [Table 1].3 Of these, two cancers,
postmenopausal breast cancer and colorectal cancer, were
not included in this study. This study assessed cancers that
affect all adults (≥20 years of age), and calculated age-adjusted
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Table 1. Overweight- or obesity-associated cancers defined by International Agency of Research on Cancer (IARC)*
Cancer site/type
Site
[ICD-O-3] §
Histology
[ICD-O-3] §
Adenocarcinoma of the esophagus
C15.0–15.9
8140–8575
Gastric cardia
C16.0
Colon and rectum†
C18.0–20.9,
C26.0
8000–9049,
9056–9139,
9141–9589
Liver
C22.0
Gallbladder
C23.9
Pancreas
C25.0–25.9
Multiple Myeloma
C42.1
9732
Postmenopausal breast
(female age ≥50 years)†
C50.0–50.9
Corpus Uterus & Uterus NOS
C54.0–54.9.
C55.9
8000–9049,
9056–9139,
9141–9589
Ovary
C56.9
Kidney
C64.9
Meningioma
C70.0–70.1,
C70.9
9530–9539
Thyroid
C73.9
8000–9049,
9056–9139,
9141–9589
* IACR used the definitions overweight as a body-mass index (BMI) of 25.0-29.9,
and obesity as a BMI of ≥30, among adults.
§
International Classification of Disease for Oncology, 3th edition
†
Cancers in colon, rectum, and postmenopausal breast were not included in this
study (see Methods).
incidence rates for 11 types of “overweight- or obesity-associated” cancers, using as denominators the full population
at risk. Postmenopausal breast cancer, defined by IARC, is
diagnosed in women aged ≥50 years, and its incidence is not
directly comparable with other cancers. Colorectal cancer
was also excluded to minimize bias by screening and treatment effects. Colorectal cancer rates have steadily decreased
among Rhode Islanders for the last two decades, due both
to increased screening rates and the early detection and
removal of precancerous polyps.5,6
SAS v9.4® statistical analytic software (SAS Institute Inc.,
Cary, NC) was used to summarize and tabulate frequencies by cancer type, diagnosis year (1995–2016), sex and age
group (ages at diagnosis in 5-year intervals between 20–79
years, plus the category of ≥80 years). Jointpoint Regression
May 2019
Rhode island medical journal
40
P u blic health
Analysis software v4.6.0.0 (http://surveillance.cancer.gov/
jointpoint/) was used to calculate age-adjusted rates per
100,000 residents using the 2000 US standard population
(https://seer.cancer.gov/stdpopulations/), and to assess trends
between 1995 and 2016 with statistical significance testing
of annual percent change (APC, p-value<0.05). State population estimates for rate denominators were obtained from the
National Cancer Institute Surveillance, Epidemiology, and
End Results Program (NCI SEER; https://seer.cancer.gov/
popdata/download.html).
Res u lts
Current cancer incidence associated
with overweight or obesity
In 2016, approximately 1,100 cancers in RI were categorized
as overweight- or obesity-associated cancers, accounting
for about 20% of the nearly 5,900 cancers diagnosed among
Rhode Island adults.
Overweight- or obesity-associated cancer rates were higher
among females than males (135 [95% CI:124–145] vs. 103
[95% CI:93–113] per 100,000), partly because 40% of these
cancers among females occurred in the female genital organs
(uterus and ovary). Among adult males, cancers of the kidney (30 per 100,000) and pancreas (22 per 100,000) were the
most frequently diagnosed in 2016. In the same year, cancers
of the uterus (40 per 100,000) and thyroid (35 per 100,000)
were the most frequently diagnosed among females. Kidney
cancer was twice as likely to occur in males than in females
(30 [95% CI:24–35] vs. 15 [95% CI:11–18] per 100,000), and
liver cancer incidence among males was three times higher
than among females (15 [95% CI:12–19] vs. 5 [95% CI: 3–7]
per 100,000). However, females had almost triple the rate of
thyroid cancer among males (35 [95% CI:29–41 vs. 12 [95%
CI:8–15] per 100,000). A majority (81%) of cancer diagnosed
in females age 20–39 were thyroid cancer, which drove the
age-specific rate three times higher than their male counterparts. For both sexes, about 50% of the overweight- or
obesity-associated cancers were diagnosed in people 60–79
years of age [Table 2].
Trend of cancer incidence associated
with overweight or obesity
Among males, incidence rates of the overweight- or obesity-associated cancers increased significantly between 1995
and 2003 by 4% annually, but between 2003 to 2016, these
rates stabilized. Trends illustrate continuous increases in all
age groups between 1995 and 2016, except the oldest (≥80
years). The youngest cohort (20-39 years) showed a sharper
gradient of change (APC=5%) than older cohorts (APC=2%
among 40-59 years; APC=1% among 60-79 years) [Table 3].
Among females, the cancer rates increased significantly by
about 2% per year between 1995 and 2013. Similar to males,
the youngest group of females ages 20-39 years showed a
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Table 2. Case counts and age-adjusted rates of selective overweight- or
obesity-associated cancers* by sex, age group, and cancer site, among
Rhode Island adults ≥20 years, 2016 Rhode Island Cancer Registry
Male
Female
Count
Rate
(95% CI) §
Count
Rate
(95% CI) §
445
103.0
(93.2-112.9)
662
134.7
(124.0-145.4)
20–39
15
12.4
(6.1–18.8)
53
40.5
(29.4–51.5)
40–59
123
76.6
(62.6–90.5)
207
124.9
(107.3–142.6)
60–79
260
308.0
(269.3–346.6)
322
325.3
(189.1–361.4)
≥80
47
271.6
(199.4–343.8)
80
258.3
(199.5–317.1)
Kidney
126
29.6
(24.2–35.0)
77
14.8
(11.4–18.1)
Pancreas
90
21.8
(17.1–26.4)
100
18.0
(14.3–21.7)
Liver
71
15.4
(11.7–19.1)
26
5.1
(3.1–7.1)
Thyroid
52
11.8
(8.4–15.1)
144
35.1
(29.1–41.0)
Multiple
Myeloma
45
10.4
(7.3–13.6)
27
5.0
(3.1–7.0)
Adenocarcinoma
of the Esophagus
33
7.1
(4.6–9.6)
†
†
Gastric cardia
23
5.7
(3.3–8.0)
†
†
All
Age group (years)
Cancer site/type †
Corpus uterus &
uterus NOS
n/a
208
39.8
(34.3–45.3)
Ovary
n/a
52
11.0
(7.9–14.1)
* Cancers in the colon, rectum, and postmenopausal breast were not included in
this study (see Methods).
§
Rates are per 100,000 and age-adjusted to the 2000 US Population Standard.
†
Due to confidentiality and reliability concerns, cancers with <15 cases are not
presented.
95% CI = 95% confidence interval
sharper rate of increase than older age groups, from 1995
until 2009 (APC=7%) [Table 3].
Trends by cancer site showed kidney cancer among males
increased between 1995 and 2007 (APC=4%). Liver cancer’s
increasing slope was noticeably steeper than other cancers,
during the first part of the studied period (APC=9%, 1995–
2004). Thyroid cancers steadily increased among males between 1995 and 2016, with a 5% annual increase [Table 3].
In women, thyroid cancer increased even more sharply (10%
per year) than in men and other cancer sites, between 1995
and 2009. Kidney cancer showed a steady increase (APC=2%,
May 2019
Rhode island medical journal
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recent U.S. Cancer Statistics representing
the national population.7
For both sexes in Rhode Island and in the
U.S., the steady increase in cancer diagnoStatistically Significant Jointpoint Segment*
ses among younger adults is concerning.8
Male
Female
There is growing evidence of associations
Rate
Rate
between elevated cancer rates and abnorAPC
Years
APC
Years
changes†
changes†
mal or excessive body weight in childhood
1995–2003 63.7–101.1 4.4% 1995–2013 105.6–154.9 1.9%
All§
(even at birth) and early adulthood.8 More
Age group (years)
studies are needed to determine the role
that body weight may play in cancer types,
20–39
1995–2016
5.9–12.4
5.1% 1995–2009
17.8–60.6
7.4%
sites, staging and other risk factors among
40–59
1995–2016
39.0–76.6
2.3% 1995–2007 89.9–147.9
3.6%
Rhode Island’s young adult patients.
60–79
1995–2016 198.3–308.0 1.1% 1995–2016 251.6–325.3 1.0%
Of the cancers in this report, thyroid
Cancer site/type
cancer incidence was three times higher
Kidney
1995–2007
20.2–34.8
3.5% 1995–2016
9.2–14.8
2.0%
among Rhode Island females than males
Liver
1995–2004
4.6–17.6
9.4%
Not significant
throughout the study period, though
men also experienced a rapid and steady
Thyroid
1995–2016
4.8–11.8
5.2% 1995–2009
9.2–47.2
10.2%
increase of the thyroid cancer, similar to
Corpus uterus
n/a
1995–2013
38.3–47.9
1.2%
national trends.9,10 Additional epidemio& uterus NOS
logical research by cancer subtype, tumor
Ovary
n/a
1995–2016
23.2–11.0
-2.1%
size, stage at diagnosis, patients’ demo* Of different regression models tested by subgroup, presented in the tables are: only the best selected
final model and time periods during which trend change was significant.
graphic attributes and survival is needed to
§
Cancers in the colon, rectum, and postmenopausal breast were not included in this study (see Methods).
identify underlying reasons for the rising
†
Rates are per 100,000 and age-adjusted to the 2000 US Population Standard.
rates of thyroid cancer in Rhode Island.
APC: Annual Percent Change
The evidence is clear that obesity increases the risks of a range of chronic conditions. Despite
1995–2016), and uterine cancer increased at a lesser extent
extensive public health campaigns seeking to explain the
until recent years (APC=1%, 1995–2013). By contrast, ovarhealth risks of excess body weight, public awareness is still
ian cancer decreased significantly between 1995 and 2016
low in perceiving obesity as a factor associated with cancer.7
(APC=-2%) [Table 3].
Rhode Island’s cancer control efforts have not yet emphasized obesity control as a means of cancer prevention, like
Disc u ssion
targeting smoking. It is hoped that this assessment will help
to guide providers and community partners in implementThrough the application of sophisticated trend analysis
ing weight reduction among other evidence-based cancer
software, we provide a more complete picture of overweightcontrol strategies.
and obesity-associated cancer trends in Rhode Island, varied
by sex, age group, and cancer type. However, these findings
are subject to, but not limited to, the following limitations:
References
(1) individual patient’s body fat measurement (such as Body
1. Behavioral Risk Factor Surveillance System (BRFSS) Prevalence
Mass Index) was not controlled in this descriptive study; (2)
and Trend Data. Centers for Disease Control and Prevention
adjustment was not made for differential attributable risks
(CDC). https://www.cdc.gov/brfss/brfssprevalence/index.html
by cancer site/type3; and (3) additional risk factors may have
2. The State of Obesity: Better Policies for a Healthier America.
Trust for America’s Health. August 2017. https://www.tfah.org/
contributed to the cancers in this study, such as genetic
report-details/the-state-of-obesity-2017/
mutations, family history, comorbidity, smoking, alcohol
3. Lauby-Secretan B, Scoccianti C, Loomis D, et al. for the IARC
use, and more.
Handbook Working Group. Body Fatness and Cancer-Viewpoint
of the IARC Working Group. New England Journal of Medicine
Despite these limitations, a significant portion of cancers
2016; 375(8):794-798. https://www.nejm.org/doi/full/10.1056/
among Rhode Islanders is associated with unhealthy body
NEJMsr1606602
weight, and those cancers have increased with the tripling
4. Renehan AG, Zwahlen M, Egger M. Adiposity and Cancer Risk:
of obesity during the past generation. In 2016, in addition
New Mechanistic Insights from Epidemiology. Nature Reviews
Cancer 2015; 15:484-498.
to the 1,100 cases summarized in this report, 1,200 cases of
5. Rhode Island Colorectal Cancer Data. Rhode Island Department
colon, rectal, and postmenopausal breast cancer were diagof Health (RIDOH). http://www.health.ri.gov/data/cancer/colo
nosed. As many as 40% of all newly diagnosed cases of canrectal/
cer in Rhode Island are those known to be associated with
6. Rhode Island Cancer Data. Rhode Island Department of Health
(RIDOH). http://www.health.ri.gov/data/cancer/
overweight status or obesity, an estimate parallel with the
Table 3. Trend* of overweight- or obesity-associated cancer incidence among Rhode Island
adults (ages ≥20 years) by sex, age at diagnosis and cancer site, 1995-2016 Rhode Island
Cancer Registry
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7. Steele CR, Thomas C, Henley SJ, et al. Vital Signs: Trends of
Incidence of Cancers Associated with Overweight and Obesity—United States, 2005-2014. MMWR Morb Mortal Wkly Rep
2017; 66:1052–1058. https://www.cdc.gov/mmwr/volumes/66/
wr/mm6639e1.htm
8. Sung H, Siegal R, Rosenberg PS, Jemal A. Emerging Cancer
Trends among Young Adults in the USA: Analysis of A Population-based Cancer Registry. Lancet Public Health 2019;
4e137-147. https://www.thelancet.com/pdfs/journals/lanpub/
PIIS2468-2667(18)30267-6.pdf
9. Eheman C, Henley SJ, Ballard-Barbash R, et al. Annual Report to
the Nation on the Status of Cancer 1975-2008, Featuring Cancers Associated Excess Weight and Lack of Sufficient Physical
Activity. Cancer 2012; 00:1-29. https://www.ncbi.nlm.nih.gov/
pmc/articles/PMC4586174/
10. Lim H, Devesa SS, Sosa JA, et al. Trends in Thyroid Cancer Incidence and Mortality in the United States, 1974-2013. JAMA
20917; 317(13):1338-1348.
Disclosure
The authors declare no conflict of interest.
Authors
Junhie Oh, BDS, MPH, is the Cancer Registry Administrator
and the Senior Public Health Epidemiologist, Rhode Island
Department of Health.
C. Kelly Smith, MSW, is the Comprehensive Cancer Control
Program Manager, Rhode Island Department of Health, and
serves as Adjunct Faculty at Providence College.
Correspondence
Junhie.Oh@health.ri.gov
Acknowledgment
This article was supported by Cooperative Agreement Number
NU58DP006291, funded by the Centers for Disease Control and
Prevention. Its contents are solely the responsibility of the authors
and do not necessarily represent the official views of the Centers
for Disease Control and Prevention or the Department of Health
and Human Services.
We thank Dora Dumont, our colleague Senior Public Health
Epidemiologist in the Rhode Island Department of Health, for
comments that greatly improved the manuscript.
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V I TA L S TAT I S TICS
Nicole E. Alexander-Scott, MD, MPH
director, Rhode island department of health
compiled by Roseann Giorgianni, Deputy State Registrar
Rhode Island Monthly Vital Statistics Report
Provisional Occurrence Data from the Division of Vital Records
REPORTING PERIOD
SEPTEMBER 2018
VITAL EVENTS
12 MONTHS ENDING WITH SEPTEMBER 2018
Number
Number
Rates
Live Births
984
11,588
11.0*
Deaths
840
10,430
9.9*
Infant Deaths
3
67
5.8#
Neonatal Deaths
5
51
4.4#
1030
6,671
6.3*
254
3,078
2.9*
Marriages
Divorces
* Rates per 1,000 estimated population
# Rates per 1,000 live births
REPORTING PERIOD
Underlying Cause of Death Category
MARCH 2018
12 MONTHS ENDING WITH MARCH 2018
Number (a)
Number (a)
Rates (b)
YPLL (c)
Diseases of the Heart
210
2,347
222.0
2,932.0
Malignant Neoplasms
180
2,160
204.3
5,142.5
Cerebrovascular Disease
39
482
45.6
625.0
Injuries (Accident/Suicide/Homicide)
71
889
84.1
12,366.5
COPD
36
517
48.9
467.5.
(a) Cause of death statistics were derived from the underlying cause of death reported by physicians on death certificates.
(b) Rates per 100,000 estimated population of 1,056,298 (www.census.gov)
(c) Years of Potential Life Lost (YPLL).
NOTE: Totals represent vital events, which occurred in Rhode Island for the reporting periods listed above.
Monthly provisional totals should be analyzed with caution because the numbers may be small and subject to seasonal variation.
ADDITIONAL VITAL STATISTICS REPORT
August 2018
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Legislative Hearings
Meeting with Virgin Pulse:
Newell E. Warde, RIMS Executive Director
April 17, Wednesday
Meeting regarding opioid legislation
with Prevent Opioid Abuse
Primary Care Physician
Advisory Committee
Legislative hearings
Legislative recess
April 29, Monday
Legislative hearings
RIMS Notes issue production
International E-Cigarette Summit,
Washington, DC; Steven R. DeToy,
RIMS Director of Government and
Public Affairs
Meeting with Senate leadership
regarding legislation
Meeting with Chairman Miller
regarding legislation
RIMS Finance Committee: Catherine
A. Cummings, MD, RIMS Treasurer
April 3, Wednesday
April 19, Friday
Rep. Edwards fundraiser
April 30, Tuesday
April 23, Tuesday
OHIC Integrated Behavioral
Health Workgroup
Legislative Hearings
April 4, Thursday
Meeting with BCBSRI,
Peter A. Hollmann, MD, President
April 24, Wednesday
Public hearing on pharmacy
regulations at DOH
Legislative Hearings: Samuel Evans, MD
Health Professional Loan Repayment
Program: Steven R. DeToy, RIMS
Director of Government and Public
Affairs, Board Member
Legislative Hearings
April 30–May 2, Tuesday–Thursday
Legislative Hearings: Alyn Adrain, MD,
AMA Delegate and Past President, and
Helena Kuhn, MD, RIMS Councilor,
representing dermatology, testified on
separate bills.
Legislative hearings
April 5, Friday
Mental Health Parity meeting,
Mental Health Association
Annual Meeting of Accreditation Council
for Continuing Medical Education,
Chicago: Maria Sullivan, Director,
Office of Continuing Medical Education,
Warren Alpert School of Medicine and
member of RIMS CME Committee
RIMS Notes issue production
Conv i v i um
April 9, Tuesday
Legislative hearings
April 10, Wednesday
Board of Medical Licensure
and Discipline
Save the Date September 20
2019 Membership Convivium and Awards Dinner
Governor’s Overdose Prevention
and Intervention Task Force:
Sarah Fessler, MD, Past President
Good food, good music, and good company in a relaxed and
beautiful setting at the Roger Williams Park Casino in Providence
Legislative hearings
Watch your email for details
New England Charter Medicine
Academy meeting at RIMS:
Brad Collins, MD, Immediate
Past President
April 11, Thursday
Legislative hearings
SIM Steering Committee:
Peter A. Hollmann, MD, President
April 15, Monday
Meeting with RI Dermatology Society
regarding legislation
Legislative recess
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May 2019
Rhode island medical journal
47
It’s a new day.
The Rhode Island Medical Society
now endorses Coverys.
Coverys, the leading medical liability insurer
in Rhode Island, has joined forces with RIMS
to target new levels of patient safety and
physician security while maintaining competitive
rates. Call to learn how our alliance means a
bright new day for your practice.
401-331-3207
r i m s cor p or at e a f f i l i at e s
The Rhode Island Medical Society
continues to drive forward into
the future with the implementation of various new programs.
www.nhpri.org
As such, RIMS is expanded its
Affinity Program to allow for
Neighborhood Health Plan of Rhode Island is a non-profit HMO founded in
more of our colleagues in health-
1993 in partnership with Rhode Island’s Community Health Centers. Serving
care and related business to
over 185,000 members, Neighborhood has doubled in membership, revenue
work with our membership. RIMS
and staff since November 2013. In January 2014, Neighborhood extended its
thanks these participants for their
support of our membership.
Contact Marc Bialek for more
service, benefits and value through the HealthSource RI health insurance exchange, serving 49% the RI exchange market. Neighborhood has been rated by
National Committee for Quality Assurance (NCQA) as one of the Top 10 Medicaid health plans in America, every year since ratings began twelve years ago.
information: 401-331-3207
or mbialek@rimed.org
www.ripcpc.com
RIPCPC is an independent practice association (IPA) of primary care physicians located throughout the state of Rhode Island. The IPA, originally
formed in 1994, represent 150 physicians from Family Practice, Internal
Medicine and Pediatrics. RIPCPC also has an affiliation with over 200
specialty-care member physicians. Our PCP’s act as primary care providers
for over 340,000 patients throughout the state of Rhode Island. The IPA was
formed to provide a venue for the smaller independent practices to work
together with the ultimate goal of improving quality of care for our patients.
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IN THE N E WS
Lifespan issues strong opposition
to proposed CNE/Partners merger
Lifespan’s board of directors and chief executive officer announced on April 24
that they strongly oppose the proposed acquisition of Care New England by
Partners HealthCare.
Lifespan Chairman of the Board of Directors, Lawrence Aubin , said,
“Allowing such an acquisition to move forward would have devastating consequences for Rhode Island and its health care delivery system, now and for years
to come,” and lists as examples the following:
• Higher cost of health care for Rhode Islanders, based on the higher reimbursement rates commanded by Partners HealthCare and lack of regulatory oversight
by the Rhode Island Office of the Health Insurance Commissioner (OHIC) on
those rates
• Loss of ability to attract the best medical experts to Rhode Island due to loss of
necessary patient volumes
• Negative impact on patients, who will have to travel out of the state for care
they currently are able to receive here
• Vital health care jobs will be moved from Rhode Island to Boston
• Critical health care decisions that affect all Rhode Islanders will also move to Boston
“With the recent release of the Change of Effective Control [posted to the
DOH website in March], we now know that Partners intends to make no
investment in CNE – pay $0 for CNE and commit no capital investment, just
a takeover of community assets that were built by Rhode Islanders for Rhode
Islanders. Loss of Care New England, a community asset, and the decision to
turn these assets over to Boston at zero cost is a travesty,” Aubin adds.
A recent report commissioned by OHIC found that:
• Partners’ Mass General and Brigham and Women’s Hospitals are among the
highest priced general acute care hospitals in Massachusetts;
• This proposed takeover already contributed to the closing of Memorial Hospital; and
• Partners physician organizations are up to 50 percent more expensive than
Rhode Island commercial physician fee schedules.
Timothy J. Babineau, MD , president and chief executive officer of Lifespan
added, “It is essential that Rhode Island have a locally controlled academic medical center that can attract top specialists and primary care physicians working
for the people of Rhode Island. The proposed acquisition places that at great risk.”
Lifespan has developed a website to present its perspective to the public at
www.ProtectRIHealthCare.org. v
Joint statement from Betsy
Nabel, MD, president and
CEO, Brigham Health,
and James E. Fanale, MD,
president and CEO, Care
New England Health System
The following statement was released
on April 24th :
“Brigham Health’s proposed acquisition of Care New England will create
a stronger health system for Rhode
Islanders. Together, we’ll deliver affordable and world-class care right here in
Rhode Island. Our longtime affiliation
at Kent Hospital proves we keep care
local. Less than one percent of our
patients are transferred to Brigham
Health – and those are the sickest
patients who require highly specialized care. The acquisition by Brigham
Health would further CNE’s recent
financial turnaround and provide
much-needed financial stability. We’re
exploring the potential for clinical
expansion, including the development
of new, lower-cost, community-based
ambulatory care centers, which could
create more clinical jobs and lead to
the recruitment of specialty physicians
offering an expanded array of clinical services in Rhode Island. We are
working closely with the Rhode Island
Department of Health and the Attorney General to ensure that this collaboration will strengthen the Rhode
Island health care system for all.” v
Statement from Brown University President Christina Paxson
center, it’s uncertain that another
attempt involving Lifespan and Care
New England would be successful at
present. Brigham’s financial strength,
its standing as a world-class medical
center, and its stated commitment to
locally-provided care offer an attractive alternative to a “local” solution.
In the end, Rhode Island’s Department
“In the past, I have advocated for an
integrated healthcare solution that
brings Care New England and Lifespan
together with Brown to create a unified academic medical center in Rhode
Island. However, multiple previous
attempts to realize this vision have
failed. While I remain committed to the
vision of a thriving academic medical
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of Health and Attorney General will
have to decide what’s in the best interest of Rhode islanders. Brown remains
strongly dedicated to the goals of providing the highest quality healthcare and
exceptional medical training, enhanced
opportunities for research, and biomedical innovation that fuels economic
development in Rhode Island.” v
Rhode island medical journal
52
IN THE N E WS
From left, David DeMaso, MD, psychiatrist-in-chief of Boston Children’s Hospital and chairman of The Leon Eisenberg Chair in Psychiatry; Henry
Sachs, MD, Vice President and Chief Medical Officer of Bradley Hospital; Margaret M. Van Bree, MHA, DrPH, president of Rhode Island Hospital and
its pediatric division Hasbro Children’s Hospital; Kevin Churchwell, MD, President and Chief Operating Officer of Boston Children’s Hospital; Sandra
Fenwick, CEO, of Boston Children’s Hospital; and Timothy J. Babineau, MD, president and chief executive officer of Lifespan. [B i l l
M u r p h y/ L i f e s pa n ]
Boston Children’s, Hasbro sign alliance agreement to broaden access to pediatric complex care
with rare and complex conditions.
Hasbro Children’s Hospital patients
will benefit from a defined relationship with Boston Children’s for stem
cell transplantation; Boston Children’s
patients will benefit from work with
Lifespan’s Bradley Hospital, a psychiatric hospital for children. Because both
hospitals have strong programs, they
will share expertise and research and
will provide consultation to advance
pediatric care in the region.
“Hasbro Children’s Hospital provides 95% of the inpatient care for
pediatric patients in Rhode Island,
with less than 1% of patients leaving
the state for care. This collaboration
is designed to keep patients local, continue to provide what the local community expects from Hasbro Children’s,
while cementing a relationship that
will inspire further advances in pediatric care,” said Rhode Island Hospital
BOSTON and PROVIDENCE, April 12, 2019
– Boston Children’s Hospital and Hasbro Children’s Hospital have signed an
agreement to identify areas of care for
children and adolescents in which a
formal collaboration will enhance the
organizations’ ability to ensure that
each patient gets the right care in the
right setting, with the goal of treating
patients close to where they live whenever possible.
The agreement builds on the existing
collaboration of both organizations’ clinicians in treating patients with heart
conditions and cancers by reinforcing
those collaborations and identifying
new areas of opportunity to improve
care, including in fetal treatments and
behavioral health. Relying on the talents and expertise of their clinicians,
Hasbro Children’s and Boston Children’s will jointly develop protocols
and pathways, especially for patients
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President Margaret M. Van Bree,
MHA, DrPH .“Together, our goal is to
advance the scope and quality of care
we deliver regionally and facilitate
access to the innovations of another
pediatric hospital.”
“Boston Children’s is committed to
the best clinical and research-based
care with the highest-quality patient
outcomes,” said Sandra L. Fenwick ,
CEO of Boston Children’s Hospital.
“This agreement recognizes that great
care should be provided as close to a
patient’s home as possible, which can
be achieved only if we work with other
excellent pediatric hospitals. Boston Children’s and Hasbro Children’s
together have the determination and
know-how to bring the best quality
outcomes to patients efficiently. We
aim to build on two strong records
of success and deliver value to our
patients through this collaboration.” v
Rhode island medical journal
53
IN THE N E WS
Rick Majzun, FACHE , who
was named president and chief
operating officer of Women &
Infants Hospital effective July
23, 2018, resigned from his position on April 8 immediately “to
pursue other professional opportunities,” according to a statement from Care New England.
Majzun came to Women &
Infants from Barnes Jewish Hospital and St. Louis Children’s
Hospital in St. Louis, MO.
Rick Majzun
“Care New England and Women & Infants would like to thank Rick for his efforts
since arriving last fall and appreciate his support, energy,
and enthusiasm for the important work taking place both
at Women & Infants and across Care New England, and we
wish him well in his future endeavors,” CNE spokesperson
Jim Beardsworth said in a statement. “A search for a
P h o t o s : C a r e N e w Eng l a nd
Rick Majzun, president and COO of W&I, resigns; Matt Quin, RN, MSN, named interim chief
new president/COO is expected
to commence in a few months.”
Matt Quin, RN, MSN , has
been named interim chief operating officer. He joined Women
& Infants in 2013 as vice president for nursing operations, and
was named senior vice president
of patient care services and chief
nursing officer in 2015. Previously, Quin served in several
roles at Brigham and Women’s
Hospital including the director
Matt Quin
of the Surgical, Burn and Trauma
Intensive/Intermediate Care and director of Cardiac Surgical
Intensive Care, where he led the units’ clinical discipline
of nursing.
A graduate of Saint Anselm College in Manchester, NH,
Quin earned a master’s of science in nursing at Simmons
College. v
Aetna is proud to support the members of the Rhode Island Medical Society.
aetna.com
©2019 Aetna Inc.
2017280
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54
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IN THE N E WS
Rhode Island receives failing grades for ozone pollution on Air Quality Report Card,
finds 2019 ‘State of the Air’
increase the risk of premature death
and other serious health effects such as
lung cancer, asthma attacks, cardiovascular damage, and developmental and
reproductive harm.
Providence (April 24, 2019) – The American Lung Association’s 2019 “State of
the Air” report found all three reporting counties in Rhode Island received
failing grades for ozone pollution this
year, and all three also reported an
increase of year round particle pollution. The annual air quality “report
card” tracks Americans’ exposure to
unhealthful levels of ozone or particle
pollution, both of which can be deadly.
“Rhode Island residents should be
aware that we’re breathing unhealthy
air, driven by emissions from power
plants and extreme heat as a result of
climate change, placing our health and
lives at risk,” said Jennifer Wall ,
Director of Advocacy for the American
Lung Association in Rhode Island. “In
addition to challenges here throughout Rhode Island, the 20th-anniversary
‘State of the Air’ report highlights that
more than 4 in 10 Americans are living
with unhealthy air, and we’re heading
in the wrong direction when it comes
to protecting public health.”
This year’s report covers the most
recent quality-assured data available
collected by states, cities, counties,
tribes and federal agencies in 2015–
2017. Notably, those three years were
the hottest recorded in global history.
Each year the “State of the Air” provides a report card on the two most
widespread outdoor air pollutants,
ozone pollution, also known as smog,
and particle pollution, also called
soot. The report analyzes particle pollution in two ways: through average
annual particle pollution levels and
short-term spikes in particle pollution.
Both ozone and particle pollution are
dangerous to public health and can
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Ozone Pollution
Compared to the 2018 report, the counties of Kent and Providence recorded
more bad air days for ozone, causing
their 2018 D grades to drop to Fs. Washington County maintained a failing
grade, but also experienced more bad
ozone days that recorded in the previous report. All together, the three counties recorded a total of 41 bad “orange”
and “red” ozone days from 2015–2017,
compared to 29 from 2014–2016.
“Rhode Island has over 18,000 kids
with pediatric asthma, over 91,000
adults with asthma, and over 55,000
adults with COPD. Ozone can be
harmful to anyone, but these populations as especially at risk, often driving
them to the doctor’s office, the hospital
or the emergency room,” said Wall.
Debra Keating-Cole, a Providence
resident with asthma and COPD, said,
“Bad air days force me to stay inside,
and can even keep me from walking
my dog. I used to love sitting on the
porch, but now if I step outside on the
wrong day the humidity and pollution
hits me like a ton of bricks.”
This report documents how warmer
temperatures brought by climate change
make ozone more likely to form and
harder to clean up. This year’s report
showed that ozone levels increased in
most cities nationwide, in large part
due to the record-breaking global heat
experienced in the three years tracked
in the report.
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May 2019
Particle Pollution
The 2019 report also found year-round
particle pollution levels higher than
the 2018 report in all three counties,
which goes against the national trend
showing progress reducing year-round
levels of particle pollution. Providence
measured a significant increase, from
7.6 µg/m3 in the 2018 report to 9.1 µg/
m3 in this year’s report.
“Particle pollution is made of soot
or tiny particles that come from coalfired power plants, diesel emissions,
wildfires and wood-burning devices.
These particles are so small that they
can lodge deep in the lungs and trigger asthma attacks, heart attacks and
strokes, and can even be lethal,” said
Wall. “It’s concerning that our local
year-round particle pollution levels
have increased – and it’s likely due to
regional and local weather patterns as
well as some weather events caused by
climate change.”
“State of the Air” 2019 also tracked
short-term spikes in particle pollution,
as these can be extremely dangerous
and even lethal. The report found that
Providence did have one fewer days
when short-term particle pollution
reached unhealthy levels, but it was
not a significant enough difference to
improve its 2018 B grade.
While the report examined data from
2015–2017, this 20th annual report online provides information on air pollution trends back to the first report.
Learn more about Rhode Island’s rankings, as well as air quality across the
state and the nation, in the 2019 “State
of the Air” report at Lung.org/sota. v
Rhode island medical journal
56
IN THE N E WS
New England’s first in-utero spina bifida surgery performed at Hasbro Children’s Hospital
– Hasbro Children’s Hospital and
Women & Infants Hospital, through their joint
Fetal Treatment Program of New England, have
performed the first open fetal surgery of its kind
in the Northeast – microscopic repair of a baby’s
spinal cord before birth.
A 15-member multidisciplinary team, including nine physicians and two teams of nurses and
scrub technologists, came together at Hasbro
Children’s last May to perform the delicate twohour surgery on the fetus, then at 25 weeks of
gestation, and mother Emily Hess, of Attleboro,
MA. It’s critical the intervention be done by 26
weeks of gestation for the safety of mother and
baby, with the goal of the mother carrying as
close to term as possible. Emily’s son, Selwyn,
who had a severe defect
on the lower level of his
spine, was successfully
delivered via C-section
in late July at Women
& Infants Hospital, just
two days before a scheduled C-section.
“It was a huge success.
Emily Hess and her son, Selwyn. [P h oto s : L i f e s pa n ]
It was as if the team had
been doing this for years, and it’s
“With this incredible team with amazing talent and
heartwarming to see how well Selexpertise in so many different areas, we are now able to perwyn is doing now. He’s growing like
form work that used to have to be done after the baby was
an otherwise normal child, and that
born. The earlier you can
Francois Luks, MD
certainly bodes well for his future,”
modify things, the better
said Francois Luks, MD, PhD , pediatric surgeon-in-chief
chance you have of effecting a really good outcome,”
and division chief of pediatric surgery at Hasbro Children’s.
said Stephen Carr, MD ,
Traditionally done after a baby is born, in-utero surgery
for spina bifida requires specific criteria be met such as early
director of the Prenatal Didiagnosis of the defect and health of the mother. Signifiagnosis Center at Women &
cantly more delicate than surgery after delivery, the in-utero
Infants and co-director of the
surgery requires opening the uterus to allow access to the
Fetal Treatment Program of
fetus. Once the fetus’ back is exposed, pediatric neurosurNew England.
geons repair the defect, closing it in layers and covering it
“When we learned that
with skin and grafts so that leakage of spinal fluid is elimiSelwyn had spina bifida, it
nated and the spinal cord is no longer exposed. The fetus is
was a blow, and very emoStephen Carr, MD
then repositioned within the uterus and the uterus is closed.
tional, but he is doing very
A 3-D model of the fetus was printed at Hasbro Children’s
well. He’s meeting most of
a couple of weeks prior to surgery to illustrate the patient’s
his developmental milestones and kicking his legs all the
spinal cord and defect, and the surgical team rehearsed in
way down to his toes,” said mother Emily Hess. v
the Hasbro Children’s operating room in advance.
PROVIDENCE
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攀渀漀甀最栀 琀漀 欀攀攀瀀 愀 瀀攀爀猀漀渀愀氀 琀漀甀挀栀⸀
䴀愀欀攀 猀甀爀攀 礀漀甀ᤠ爀攀 挀漀瘀攀爀攀搀⸀
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漀渀氀椀渀攀 䠀一䤀椀渀猀⸀挀漀洀
IN THE N E WS
Rhode Island Hospital, Teamsters Local 251 reach 5-year contract agreement
– Rhode Island Hospital and Teamsters Local
251 are pleased to have reached a five-year contract agreement, effective April 1, 2019 through March 31, 2024. Union
membership overwhelmingly ratified the tentative agreement proposed to them on Thursday, April 11.
The agreement includes annual wage increases of 3 percent each year for a total of 15% over the five-year contract
term. Effective April 2023, a minimum wage of $15 per hour
for all positions will go into effect across the Lifespan system. The contract offers competitive health coverage benefits for full and part-time employees, along with retirement
and earned time benefits for future employees that align
with the overall Lifespan system benefits. It injects stability
in the workforce by addressing transfers, leaves of absence
and the use of per diem employees.
The negotiations process included dozens of hours at the
table, with a high degree of professionalism and cooperation,
and both parties are confident that this is a fair and sustainable agreement that reflects the value placed on the 2,500
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Local 251-represented employees.
“After months of member-to-member organizing and
surveying the needs of the members, the Teamsters Local
251 negotiating committee set out to satisfy key demands
of the workers,” said Matthew Taibi , secretary treasurer
and principal officer of Local 251. “This contract addresses
the important issues of fair wage increases, a $15 minimum
wage, Teamster healthcare benefits, retirement security,
quality jobs that support families, and job security.
“The valuable employees represented by Local 251 comprise a broad cross-section of the Rhode Island Hospital
workforce,” said Margaret M. Van Bree, MHA, DrPH ,
president of Rhode Island Hospital. “Our CNAs, unit secretaries, environmental services, central transport, facilities,
buildings and grounds, and other key personnel who are
Local 251 members are the backbone of keeping the hospital
functioning and friendly to all who pass through its doors.
We are grateful for their work, and pleased to have agreed
upon this smart and fair contract.” v
Pictured are (L-R) Timothy J. Babineau, MD, Lifespan president and CEO; Lisa Abbott, Lifespan senior vice president of human resources and community affairs; Gary DaSilva, radiology tech assistant and Local 251 liaison; Paul Santos, Local 251 president and business agent; Matt Taibi, Local
251 secretary treasurer and principal officer; Matthew Maini, Local 251 business agent; Margaret M. Van Bree, MHA, DrPH, Rhode Island Hospital
president; Tony Suazo, receiving clerk and Local 251 vice president/RIH steward; Bill Schmiedeknecht, Lifespan vice president for business partnerships
& labor relations. [P h oto : L i f e s pa n ]
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IN THE N E WS
Community Physician Partners signs on to statewide Choosing Wisely campaign
to improve dialogue between physicians and patients
– Lifespan partner Community Physician Partners (CPP), an independent association of primary care physicians, has signed on to the Choosing Wisely campaign, a
nationwide initiative to promote conversations between
patients and clinicians aimed at avoiding unnecessary medical tests and procedures.
CPP’s move to sign an agreement with Choosing Wisely
RI means that the more than 170 primary care physicians
in the partnership, which is part of the Lifespan Health Alliance, will be embracing the tenets of the campaign in caring
for their more than 100,000 patients across Rhode Island.
“The Choosing Wisely campaign is a great and long
overdue conversation starter between patients and their
doctors,” said David Marcoux, MD , president of CPP.
“Patients seek and deserve good care and doctors want to
deliver nothing less. Doctors want to order the right test or
treatment at the right time and avoid what has limited to no
value. This is an excellent program. We’re all in.”
The campaign cites a National Academy of Medicine
statistic that an estimated $765 billion per year is spent on
unnecessary or needlessly expensive care and that 30,000
deaths per year are attributable to overly aggressive treatment. Surveys by ABIM have found that physicians feel
pressured by patients to prescribe unnecessary tests or
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the Villa at Saint Antoine
treatments for fear of lawsuits and losing patients. The surveys also indicate that physicians lack the tools to have
better conversations with patients and that patients feel
uncomfortable asking their doctors questions. The national
campaign was launched in 2012.
The campaign is supported by a variety of literature,
videos and phone apps, including a list of ”5 Questions
to Ask Your Doctor Before You Get Any Test, Treatment
or Procedure.”
Choosing Wisely is a national campaign of the ABIM
(American Board of Internal Medicine) Foundation that
was launched in Rhode Island by the Rhode Island Business
Group on Health, a non-profit group that advocates for affordable, high-quality health care. Other supporters include the
Rhode Island Foundation, the Rhode Island Department
of Health and the Rhode Island Medical Society.
CPP is a not-for-profit physician-governed association
whose members are part of the Lifespan Health Alliance, an
accountable care organization (ACO) that strives to deliver
high-quality, high-value care in a patient-centered medical
home. In CPP, patients and providers are true partners in
care decisions. CPP also maintains a network of highly talented specialists to provide integrated care that is efficient
and affordable. v
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IN THE N E WS
Dr. Kenneth Allen publishes evidence of impulsive behavior in nonsuicidal self-injury
Outcome suggests promising treatment target for some at high-risk for suicide
Common examples of NSSI include
cutting, burning, or hitting oneself.
NSSI is common, especially among
adolescents and young adults, even
those without any diagnosable psychiatric conditions. While NSSI occurs
without the intent of suicide, it is
also one of the strongest predictors of
future attempted suicide, so determining shared and distinct factors involved
in nonsuicidal and suicidal forms of
self-injury is critical.
Dr. Allen explained that while NSSI
without suicidal intent may be a common behavior, the potential for serious
consequences is significant, as research
suggests these events are equivalent
to prior suicide attempts in predicting
future suicidal behavior.
“The clinical implications of this
research could be substantial,” said
Dr. Allen. “When and where the NSSI
occurs in conjunction with negative
mood and accompanying impulse control problems might inform assessment, treatment, and prevention of
both NSSI and suicide, which is really
what we’re here for.”
The published research shows the
results of new laboratory tasks created by Dr. Allen and his colleagues
addressing the discrepancy between
self-reported impulsivity in people
who engage in NSSI and their lack of
impulsive behavior on existing laboratory tasks. The impact of this indicates
that NSSI is associated with impulsive
Are young adults who harm themselves more at risk for suicide? New
research suggests there could be a connection under specific conditions associated with negative emotions.
Kenneth J.D. Allen, PhD , a
postdoctoral research fellow in the
Psychosocial Research Program at
Butler Hospital and the Department
of Psychiatry and Human Behavior at
The Warren Alpert Medical School of
Brown University, recently published
several articles related to this important topic. His research suggests that
nonsuicidal injury (NSSI), when people harm themselves without wanting
to die, is associated with impulsive
behavior, but only under specific conditions associated with negative emotions. Importantly, this research also
identifies potential areas of treatment
for a select group of individuals deemed
as high-risk for suicide attempts.
Dr. Allen’s work was published in the
peer-reviewed scientific journals Psychiatry Research (Frequency of nonsuicidal self-injury is associated with
impulsive decision-making during criticism) and Behavior Therapy (Negative
Emotional Action Termination (NEAT):
Support for a cognitive mechanism
underlying negative urgency in nonsuicidal self-injury). Dr. Allen’s work
was completed with the support of his
PhD advisor Jill M. Hooley, DPhil ,
who is affiliated with the Department
of Psychology at Harvard University,
and Heather T. Schatten, PhD , his
co-mentor at Brown and Butler.
“People who self-injure, both more
frequently and more recently, also
make more impulsive choices when
experiencing distress than those who
self-injure less frequently and/or less
recently,” said Dr. Allen. “Importantly,
this suggests the response to actual,
perceived, or even self-criticism may
be a promising treatment target, particularly for those at highest risk of future
suicide attempts.”
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behavior, but only under specific
conditions associated with negative
emotions.
Although previous studies did not
identify impulse control deficits in
NSSI, Dr. Allen’s research demonstrates that people who self-injure have
more difficulty controlling impulses
directly motivated by negative emotions such as anxiety, anger, and sadness. Dr. Allen’s studies suggest that
difficulty controlling impulses motivated by distress might help explain the
link between NSSI and future suicide.
This impairment is specific to negative emotional action termination, or
the final stage of response inhibition,
meaning that such individuals might
only act impulsively once their negative feelings reach a certain level of
intensity.
“Therapeutic interventions focusing
on increasing ‘mindfulness’ could be
particularly useful in helping individuals become aware of their emotions
and accompanying urges before they
become overwhelming and reach this
breaking point,” said Dr. Allen. “Ultimately, our findings suggest that once
someone gives in to an impulsive urge
to self-injure, they may find it especially difficult to stop, whereas if that
person can catch this urge early on,
they may be able to choose a more adaptive strategy to reduce their unpleasant
emotional state, such as exercising or
listening to music.” v
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Inquiries to Newell Warde, nwarde@rimed.org
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P eople / PLACES
Appointments
Care New England introduces
Physician Leadership Academy
In April Care New England (CNE) kicked
off a new Physician Leadership Academy
intended to enhance physician leadership
development within CNE through a program focused on the most common and
complex issues facing the health care
industry.
The inaugural class is comprised of
the following 12 physicians from across
CNE: Kevin Baill, MD (Butler Hospital); Adam Czynski, DO (Women & Infants Hospital); Ana Fulton, MD (Care
New England); Chris Furey, MD (Kent
Hospital); John Gelzhiser, MD (Kent
Hospital); Amy Halt, MD (Butler Hospital); Erica Hardy, MD (Women & Infants Hospital); Melissa Murphy, MD
(Kent Hospital); Naveed Rana, MD
(Kent Hospital); Roxanne Vrees, MD
(Women & Infants Hospital); Erika
Werner, MD (Women & Infants Hospital); and JoAnn Wilkinson, MD
(Kent Hospital).
The Physician Leadership Academy
program directors are James E. Fanale,
MD , president and chief executive officer,
CNE; Chester Hedgepeth, III, MD,
PhD , executive chief of cardiology, CNE;
Maureen Phipps, MD , executive
chief of obstetrics and gynecology, CNE,
and chair, Department of Obstetrics and
Gynecology, Brown University; and Raymond Powrie, MD , executive chief of
medicine, CNE.
“CNE is excited to be offering such an
important training and development program for our physicians,” said Dr. Fanale.
“Further investing in physician leaders
will only serve to strengthen our system
as a whole while creating a foundation of
leadership for the future.”
The 12-month leadership academy
curriculum includes implementing quality improvement initiatives while focusing on containing cost, changing payer
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Pictured left to right are Amy Halt, MD (Butler Hospital); Naveed Rana, MD (Kent Hospital); Ana
Tuya Fulton, MD (Care New England); Kevin Baill, MD (Butler Hospital); Erica Hardy, MD (Women
& Infants Hospital); John Gelzhiser, MD (Kent Hospital); Melissa Murphy, MD (Kent Hospital);
Chris Furey, MD (Kent Hospital). [P h oto : C N E ]
Not pictured: Adam Czynski, DO (Women & Infants Hospital); Roxanne Vrees, MD (Women & Infants
Hospital); Erika Werner, MD (Women & Infants Hospital); JoAnn Wilkinson, MD (Kent Hospital).
relationships, the influence of accountable care organizations on population
health and health care financing, bundled
payment initiatives, Medicare and Medicaid finance, market consolidation, disparities in health outcomes, and funding
for medical education and research.
Regional and national health care experts will participate as guest faculty
presenters, while members of CNE’s executive leadership team will also serve
as session presenters. CNE’s access to
industry experts, combined with its clinical depth and rich array of nationally and
regionally recognized clinicians, ensure
academy participants are receiving the
best possible training, while maintaining
minimal costs to implement this educational opportunity.
In addition to the curriculum work,
participants will be expected to participate in a significant team-based project
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currently underway or in development
at CNE. Each participant will also be
assigned an executive-level advisor who
will work with them throughout the
duration of the program.
“At the culmination of this enriching
and educational opportunity, participants
will be expected to have gained a greater
level of insight into their personal leadership approach, better understand health
care finance and funding mechanisms,
have deeper knowledge of population
health management and accountable care
organizations, and understand aspects of
hospital and medical group operations,
among other health care-related expertise,” said Dr. Fanale. “This program is
expected to help CNE develop emerging
leaders and plan for continuity across
leadership roles throughout CNE.” v
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P eople / PLACES
Appointments
Jeffrey Gaines, MD,
named chief medical officer
at Newport Hospital
Newport Hospital has appointed
Jeffrey Gaines, MD , a veteran
of the hospital’s emergency department, to serve as vice president of
medical affairs and chief medical
officer, effective July 1.
Hospital President Crista F. Durand announced on Tuesday, April 16 that Gaines will succeed
Thomas M. M c Gue, MD , who served as the chief medical
officer from 2013 until January 2019.
“After a national search, Dr. Gaines emerged as the top talent to help champion our mission and move our quality platform forward,” said Durand. “His energy, vision and leadership
skills, combined with his thorough understanding of the culture
of Newport Hospital, make him an ideal choice. His years of
clinical experience in emergency medicine; his dedication and
empathy; and his service in numerous leadership roles throughout the hospital will prove a significant benefit for patients and
staff alike. I’m delighted to welcome him to this new role.”
Gaines has worked in a full-time clinical role in the emergency department of Newport Hospital for the past 10 years.
He served as medical staff president from 2016 to 2017.
“I am deeply honored to become part of Newport Hospital’s
rich history,” Gaines said. “I’m passionate about upholding
the hospital’s tradition of excellence while bringing innovative
ideas to fruition. I welcome the opportunity to both serve, and
lead, the hospital with the entire senior leadership team.”
Gaines is a clinical assistant professor in the emergency
medicine department of The Warren Alpert Medical School at
Brown University.
Gaines graduated from Wayne State University cum laude
with honors and earned his medical degree from the University of Michigan Medical School. He completed his residency
in emergency medicine at University of Pittsburgh Affiliated, where he was named chief resident, and is a fellow of the
American College of Emergency Physicians. He serves on the
staff of Brown Emergency Physicians.
Gaines is currently working toward a master’s degree in
health care management at Harvard University.
Gaines lives in Barrington with his wife, Sarah, an emergency medicine physician at The Miriam Hospital and Rhode
Island Hospital. They have two daughters. v
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Prabjot Channa, MD; Andrew Young, MD, MPH,
join LPG Ophthalmology
Lifespan Physician Group Ophthalmology (LPG) recently
welcomed two new physicians to its team.
Prabot Channa, MD , an Associate Professor of Surgery, Clinician Educator at the Alpert Medical
School of Brown University, is the
Director of the Cornea Service at
Rhode Island Hospital. Her areas of
expertise include cornea and external disease and cataract surgery.
Dr. Channa, a board-certified ophthalmologist, received her MBBS
from Goa Medical College, Goa,
India and completed her ophthalmology residency there. She
completed her fellowship in Cornea and External Disease at
the Arvind Eye Hospital. She then completed a Cornea, External Disease, and Uveitis fellowship at the Francis Proctor
Foundation at the University of California, San Francisco
and residency in Ophthalmology at Bronx Lebanon Hospital,
Albert Einstein School of Medicine in New York. Before moving to Providence, she was Associate Professor of Clinical
Ophthalmology at the Montefiore Medical Center in New York.
Andrew Young, MD, MPH ,
provides primary eye care and diagnoses and treats common eye conditions. His areas of expertise include
the medical and laser treatment of
glaucoma. He is a Clinical Assistant Professor at the Alpert Medical
School of Brown University.
A board-certified ophthalmologist, he received his undergraduate
and medical degrees from the Alpert Medical School of Brown University’s PLME program. He
completed his internship in internal medicine at Rhode Island
Hospital and his ophthalmology residency at Mount Sinai
School of Medicine in New York. He subsequently completed
his fellowship in glaucoma at the University of California, San
Diego. He received his MPH in Community Health Sciences
from the University of California, Los Angeles. Prior to returning to Providence, he was Assistant Clinical Professor at the
David Geffen School of Medicine at UCLA. Dr. Young speaks
Spanish and German. v
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P eople / PLACES
Recognition
P h o t o : ATS F o u nd at i o n
Sharon Rounds, MD, to receive ATS Foundation 2019 Breathing for Life Award
Sharon Rounds, MD , will receive
the 2019 Breathing for Life Award – the
highest honor given to an American Thoracic Society (ATS) member for philanthropy – during the Eleventh Annual ATS
Foundation Research Program Benefit on
Saturday, May 18, which will follow the
Opening Ceremony at ATS 2019, Dallas,
Texas.
As ATS president in 2004–2005, Dr.
Rounds championed the formation of the
ATS Foundation. Since then, the Foundation has given donors the confidence that
one hundred percent of all donations for
research support the ATS Foundation Research Program. In addition to being one
of the most generous supporters of the
Foundation, she served on the Foundation’s board from 2012 until 2018.
A distinguished researcher on the
pulmonary circulation, Dr. Rounds has
supported the Foundation’s efforts to advance the careers of promising young investigators in other ways. She chaired the
ATS committee that selects grant recipients. Then, she told an interviewer, “We
could double the number of grant recipients and not lose one iota of the quality of
the research we fund.”
At Brown University, Dr. Rounds is a
professor of medicine and of pathology
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and laboratory medicine and associate
dean for clinical affairs. From 2006–2015,
she was chief of the medical service at
the Providence VA Medical Center. As an
educator, she has been recognized more
than a dozen times for her excellence in
teaching and mentorship, including receiving the Elizabeth A. Rich, MD, Award
from the ATS.
Throughout her career, she has pressed
for more opportunities for women and
minorities in the fields of pulmonary,
critical care, and sleep medicine, both at
Brown and the ATS. Along with Alvin
Thomas, MD, and Estelle Gauda, MD,
she created the ATS Minority Trainee
Development Scholarships program two
decades ago. At Brown, for many years
she was the principal investigator of an
NIH-funded program to increase diversity
in health-related research.
“This is the history of the United
States of America: we’re only as good as
our diversity,” she says. “It makes us better health care professionals, and it makes
our research more relevant to the needs
of the community.”
Qing Lu, DVM, PhD , began working
with Dr. Rounds as a post-doc 16 years
ago and is now associate professor at
Brown funded by a National Institutes of
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Health RO1 Grant. “Sharon wants other
people to be successful,” says Dr. Lu.
“Without her support and confidence in
me, I wouldn’t be in academic medicine
today.”
Elizabeth Harrington, PhD , considers Dr. Rounds a pioneer. Sharon was
among the few women “to do many
things during her career in a very male
dominated field,” says Dr. Harrington,
who is co-director with Dr. Rounds of the
CardioPulmonary Vascular Biology Center for Biomedical Research Excellence,
an NIH-funded effort to build vascular
biology expertise in Rhode Island. “She is
an excellent researcher and selfless mentor whose successes are an inspiration to
many others following in her footsteps.”
At a time of life when many consider
retiring, Dr. Rounds remains active as a
mentor, researcher, and clinician. She also
remains active in the ATS.
Her long involvement with the ATS
has its origins in her first presentation at
the International Conference, given “on
the afternoon of the last day,” when her
mentor, the legendary head of Denver’s
pulmonary and critical care program,
Tom Petty, took a seat in the middle of
the front row right before she began to
talk. “It was a life-changing experience,”
she recalls.
One might think that her many committee assignments and leadership roles
within ATS are a way of paying the Society back for helping to launch her career.
But Dr. Rounds, characteristically, offers
a humbler explanation.
“I view my time contribution to ATS,
not as work, but as fun,” she says. “The
ATS is interesting and engaging and keeps
my mind off things that I might find
boring.” v
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P eople / PLACES
Recognition
Megan L. Ranney, MD,
named 2019 Woman
Physician of the Year
The Rhode Island Medical Women’s Association (RIMWA) will
honor Megan L. Ranney, MD,
MPH, FACEP , as Woman Physician of the Year on May 21 at
its annual meeting. This award
is given annually to a Rhode Island female physician who excels in both her field
of medicine and her dedication to the betterment of
our community.
Ranney obtained her undergraduate degree at Harvard College and received her medical degree from
Columbia University College of Physicians and Surgeons in New York, NY. Her residency training in
Emergency Medicine was at Brown University in
Providence, RI, where she was Chief Resident. Along
with her residency training, Ranney pursued an Injury Prevention Research Fellowship and a Masters in
Public Health, both at Brown University.
In addition to being a practicing emergency physician, Ranney is nationally known for her research
and advocacy in the field of gun safety. She is Chief
Researcher and Co-Founder of The American Foundation for Firearm Injury Reduction in Medicine
(AFFIRM), comprised of healthcare professionals and
researchers working together to curb the epidemic of
firearm violence across the United States. She was appointed by Governor Gina Raimondo to Co-chair the
Governor’s Gun Safety Work Group and is the Rhode
Island Representative to a multi-state Governors’
Work Group on Firearm Injury Research.
Ranney’s awards and accolades include the “Dean’s
Teaching Excellence Award,” Alpert Medical School,
Brown University; “Forty Under Forty in Rhode Island” award, Providence Business News; the “Bruce
Selya Research Award,” Lifespan Health System,
and the “Technology Innovation Award,” University
Emergency Medicine Foundation, Providence.
The event will be held at the Marriott Providence
Downtown, One Orms Street, on Tuesday, May 21,
at 6 pm. It is open to both the medical and non-medical communities. To reserve a seat, contact Marc
Bialek, mbialek@rimed.org or 401-331-1337. Information may also be found at www.rimedicalsociety.org/
rhode-island-medical-women-s-association.html. v
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Keith Hovan, chief executive officer for Southcoast Health, congratulates Baby
Friendly taskforce, Charlton Memorial Hospital’s family-centered unit nurses and
staff, Fall River community partner, WIC, and lactation specialist at Charlton Memorial Hospital for receiving recognition as a designated Baby-Friendly birth facility
by Baby-Friendly USA, Inc.
Charlton recognized as Baby-Friendly Birth Facility
by Baby-Friendly USA, Inc.
Fall River – Charlton Memorial Hospital has received recognition as a
designated Baby-Friendly birth facility by Baby-Friendly USA, Inc.
This designation makes Southcoast Health an entirely Baby Friendly
system. Tobey Hospital received Baby Friendly designation in 2011 and
St. Luke’s Hospital in 2018.
“Baby Friendly designation is a very special accomplishment that we
are all very proud of for many reasons. It is a special designation, first and
foremost, as it is the very best way to treat, educate, and support our families,” said Jennifer Bloom, nurse manager of the family centered unit at
Charlton Memorial Hospital. “Baby Friendly USA practices at Southcoast
ensure that moms and babies receive the best possible care and promotes
their best possible health.”
Baby Friendly USA designation facilities offer breast feeding education before, during and after child birth. Designated facilities promote
and practice policies such as optimal early bonding care via skin to skin
contact with mother and baby immediately after childbirth and keeping
babies in room to help prepare parents for going home.
“This was a five-year journey for our unit. There were a lot of practice
changes and change is always difficult at first,” said Terri Martin, RN,
lactation consultant at Charlton Memorial’s family-centered unit. “The
nurses on this unit were really the backbone of our success in obtaining
this accreditation. Their dedication to provide continued support to our
families was evident during this process.”
Baby-Friendly USA, Inc is the U.S. authority for the implementation
of the Baby-Friendly Hospital Initiative (“BFHI”), a global program sponsored by the World Health Organization (WHO) and the United Nations
Children’s Fund (UNICEF). The initiative encourages and recognizes
hospitals and birthing centers that offer an optimal level of care for breastfeeding mothers and their babies. v
May 2019
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P eople / PLACES
Appointments
Obituary
Jennifer Anderson, Certified Nurse Midwife,
joins Southcoast Health Obstetrics & Gynecology
Naeem Muhammad Siddiqi, MD ,
– Southcoast Physicians Group welcomes Jennifer Anderson, Certified Nurse Midwife to Southcoast Health Obstetrics & Gynecology.
Jennifer Anderson earned a Bachelor of Science
degree in Nursing and a Master of Science degree,
specializing in Midwifery, from the Columbia University School of Nursing in New York, N.Y. She
has been a practicing Certified Nurse Midwife since
2007. Jennifer has experience caring for women
with uncomplicated and high-risk pregnancies, as
well as providing routine gynecologic and family planning services.
Jennifer is a member the American College of Nurse Midwives. Her
clinical interests include the role of nutrition in health and disease,
substance use disorders, and improving postpartum care and support
for women and families. v
New Bedford
Recognition
Kent Hospital Rehabilitation Program
and Laboratory achieve accreditation
Kent Hospital has recently earned accreditation from the Commission on Accreditation of Rehabilitation Facilities (CARF), the College
of American Pathologists (CAP), and AABB (formerly known as the
American Association of Blood Banks). Each accreditation followed a
rigorous survey and assessment.
The Rehabilitation Center at Kent has received CARF accreditation based on a survey of the hospital’s adult rehabilitation program,
amputation specialty program, and stroke specialty program.
The Kent Hospital Department of Pathology & Laboratory Medicine has been accredited by the CAP Laboratory Accreditation Program, which the federal government recognizes as being equal to
or more stringent than the government’s own inspection program.
During the CAP accreditation process, designed to ensure the highest
standard of care for all laboratory patients, inspectors examine the
laboratory’s records, standard operating procedures and quality control of procedures for the preceding two years. CAP inspectors also
examine laboratory staff qualifications, equipment, facilities, safety
program and record, and overall management.
The department has also been granted AABB accreditation for its
transfusion service. Accreditation for AABB follows an intensive onsite assessment by specially trained AABB assessors and establishes
that the level of technical and administrative performance within the
facility meets or exceeds standards set by AABB. v
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a urologist, refined poet, proud Rhode Islander, and lover of all things family, died
on April 6, 2019, at the age of 84, surrounded by loved ones, after a courageous
battle with lung cancer.
One of nine children, he was born in
Lucknow, India, the son of Hakim and Hasina Siddiqi.
Dr. Siddiqi graduated from Aligarh Muslim University
in India, and King Edward Medical College in Pakistan.
After graduation it was his dream to train and practice
in the United States. Through his characteristic hustle,
he secured an internship at Lowell General Hospital and
moved to the U.S. in 1959. Recognition of his intellect
and unrivalled work ethic landed him a urology residency at Beth Israel Deaconess Medical Center in Boston.
He then served in multiple academic positions including as a teaching fellow at Harvard Medical School and
as a research fellow at Roger Williams Hospital.
In 1968, he married Nishat T. Siddiqi, and moved to
Montreal to complete a MSc in Experimental Surgery
at McGill University. He eventually settled in Cumberland, Rhode Island, where he worked at Landmark
Medical Center in Woonsocket for nearly 30 years, holding the positions of Chairman of the Department of Surgery and Chief of Urology on two separate occasions.
He was also a Clinical Instructor of Surgery at Brown
University.
In retirement, he was a voracious reader, frequent
blogger, and avid Facebook poster. He loved anything
that challenged him, taking up the clarinet and painting late in life and achieving success in both. He loved
dining with friends and family, philosophizing about humanity, and reminding all that “life is good.” His most
cherished role of all was that of grandfather to his two
grandchildren. His favorite times were the one dedicated week each summer spent with his immediate family
in beautiful locations throughout New England, always
his treat. His generosity knew no bounds, having sponsored the education of numerous students throughout
the world.
In addition to his wife of 51 years, Dr. Siddiqi is survived by eldest son Faraaz Siddiqi of Los Angeles, CA,
youngest son Dr. Omar Siddiqi and his wife Elizabeth
McCarthy, two grandchildren, Akayla Siddiqi and Zain
Siddiqi, all living in Lusaka, Zambia.
Those who wish to make a gift in his memory can donate to his son Omar’s nonprofit organization providing
neurological care in Zambia at neurologyz.com. v
May 2019
Rhode island medical journal
68
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HE R ITAGE
Vintage Ambulances:
From horse-drawn to airborne
A U.S. Army horse-drawn ambulance with two servicemen.
[N at i o n a l L i b r a r y o f M e d i c i n e ]
1861 photograph shows the Ambulance Corps demonstrating how they work together to
remove wounded Civil War soldiers from the field. [ Libr ary of Congress photo ]
An ambulance train “parked” at Harewood Hospital, Washington D.C., 1863, just
prior to the Battle of Gettysburg. [N at i o n a l L i b r a r y o f M e d i c i n e ]
An ambulance with the Preparedness League of American Dentists emblem on the side in 1918, from the publication Dental
Digest. [N at i o n a l L i b r a r y o f M e d i c i n e ]
The 1st R.I. Ambulance Company during a mobilization parade in 1917. Spectators are seen lining both sides of the street.
[P r o v i d e n c e P u b l i c L i b r a r y d i g i ta l c o l l e c t i o n ]
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HE R ITAGE
Red Cross ambulance presented by railway employees. [Sm i t h s o n i a n
Li b r a r i e s ,
E le c t r i c r a i lway j o u r n a l . v. 5 8 J u ly- D e c . 1921, { N e w Yo r k ) : McG r aw H i ll Pu b . Co. ]
De Havilland DH-4 1920 ambulance. [U . S .
A i r F o r c e p h oto ]
Ford Model T Ambulance on display in the Early Years Gallery
at the National Museum of the United States Air Force.
[U . S . A i r F o r c e p h oto ]
Fokker A-2 ambulance. [U . S .
A i r F o r c e p h oto ]
Dr. Frank I. Payne
A 1936 Cadillac ambulance used by the Westerly Ambulance Corps, one of the oldest volunteer private emergency
medical services established in 1917 under the name Westerly Red Cross Sanitary Unit. Dr. Frank I. Payne served as the
Corps’ founding father and first Commander. [T h e W e s t e r ly Am b u l a n c e C o r p s , In c . ]
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