Evidence map›Paper›PMID 37709108›Full record

ArticleAmerican heart journal2023

A cross-stakeholder approach to improving out-of-hospital cardiac arrest survival.

Timothy C Guetterman, Jane Forman, Sydney Fouche, Kaitlyn Simpson, Michael D Fetters, Christopher Nelson, Peter Mendel, Antony Hsu, Jessica A Flohr, Robert Domeier and 3 more

Open access · greenAbstract read
In one paragraph

Article in American heart journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 2 countries.

Timothy C GuettermanAcute Care Research Unit, University of Michigan, Ann Arbor, MI; Mixed Methods Program and Department of Family Medicine, University of Michigan Medical School, Ann Arbor, MI; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI.
Jane FormanAcute Care Research Unit, University of Michigan, Ann Arbor, MI; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Qualitative and Mixed Methods Core, Center for Clinical Management Research, U.S. Department of Veterans Affairs, Ann Arbor, MI.
Sydney FoucheAcute Care Research Unit, University of Michigan, Ann Arbor, MI.
Kaitlyn SimpsonAcute Care Research Unit, University of Michigan, Ann Arbor, MI; University of Michigan Medical School, Ann Arbor, MI.
Michael D FettersMixed Methods Program and Department of Family Medicine, University of Michigan Medical School, Ann Arbor, MI.
Christopher NelsonRAND Corporation, Santa Monica, CA.
Peter MendelRAND Corporation, Santa Monica, CA.
Antony HsuTrinity Health Ann Arbor Hospital, Ann Arbor, MI.
Jessica A FlohrAcute Care Research Unit, University of Michigan, Ann Arbor, MI.
Robert DomeierTrinity Health Ann Arbor Hospital, Ann Arbor, MI; Department of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI.
Rebal RahimDepartment of Clinical Sciences, Anesthesia and Intensive Care, Lund University, Skane University Hospital, Malmo, Sweden.
Brahmajee K NallamothuAcute Care Research Unit, University of Michigan, Ann Arbor, MI; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI; Max Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, MI.
Mahshid AbirAcute Care Research Unit, University of Michigan, Ann Arbor, MI; RAND Corporation, Santa Monica, CA; Department of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI. Electronic address: mabir@rand.org.
University of Michigan · USRAND Corporation · USTrinity Health · USLund University · SEUnited States Department of Veterans Affairs · US

Funding

Enhancing Pre-Hospital Outcomes for Cardiac Arrest (EPOC)R01HL137964 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABIR, MAHSHID, NALLAMOTHU, BRAHMAJEE K · 2017 to 2020
$3.0M
NHLBI NIH HHS R01 HL137964
6 · The paper itself

Abstract

backgroundOut-of-hospital cardiac arrest (OHCA) affects over 300,000 individuals per year in the United States with poor survival rates overall. A remarkable 5-fold difference in survival-to-hospital discharge rates exist across United States communities.

methodsWe conducted a study using qualitative research methods comparing the system of care across sites in Michigan communities with varying OHCA survival outcomes, as measured by return to spontaneous circulation with pulse upon emergency department arrival.

resultsMajor themes distinguishing higher performing sites were (1) working as a team, (2) devoting resources to coordination across agencies, and (3) developing a continuous quality improvement culture. These themes spanned the chain of survival framework for OHCA. By examining the unique processes, procedures, and characteristics of higher- relative to lower-performing sites, we gleaned lessons learned that appear to distinguish higher performers. The higher performing sites reported being the most collaborative, due in part to facilitation of system integration by progressive leadership that is willing to build bridges among stakeholders.

conclusionsBased on the distinguishing features of higher performing sites, we provide recommendations for toolkit development to improve survival in prehospital systems of care for OHCA.

Indexed as

Cardiopulmonary ResuscitationEmergency Medical ServicesOut-of-Hospital Cardiac ArrestEmergency Service, HospitalHumansQuality ImprovementUnited States

Identifiers

PMID37709108
PMCPMC12168139
OpenAlexW4386629871

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.