Evidence map›Paper›PMID 31785983›Full record

ArticleThe American journal of emergency medicine2020

Quality of physician care coordination during inter-facility transfer for cardiac arrest patients.

S Neil Holby, Daniel Muñoz, Sean P Collins, Timothy J Vogus, Cathy A Jenkins, Dandan Liu, Michael J Ward

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Article in The American journal of emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

S Neil HolbyDepartment of Medicine, Vanderbilt University Medical Center, United States.
Daniel MuñozDivision of Cardiology, Vanderbilt University Medical Center, United States.
Sean P CollinsDepartment of Emergency Medicine, Vanderbilt University Medical Center, VA Tennessee Valley Healthcare System, United States.
Timothy J VogusOwen Graduate School of Management, Vanderbilt University, United States.
Cathy A JenkinsDepartment of Biostatistics, Vanderbilt University School of Medicine, United States.
Dandan LiuDepartment of Biostatistics, Vanderbilt University School of Medicine, United States.
Michael J WardDepartment of Emergency Medicine, Vanderbilt University Medical Center, VA Tennessee Valley Healthcare System, United States. Electronic address: michael.j.ward@vumc.org.

Funding

Enhancing Inter-Facility Transfer for Patients with Acute Myocardial InfarctionK23HL127130 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WARD, MICHAEL J. · 2016 to 2019
$642k
NHLBI NIH HHS K23 HL127130
6 · The paper itself

Abstract

aimWe sought to evaluate whether the quality of coordination between physicians transferring comatose cardiac arrest survivors to a high-volume cardiac arrest center for targeted temperature management (TTM) was associated with timeliness of care.

methodsWe conducted a retrospective analysis of inter-facility transfers to Vanderbilt University Medical Center for TTM between October 2016 and October 2018. We examined the relationship between Relational Coordination (RC) - a measure of communication and relationship quality - during phone conversations between transferring physicians and time-to-acceptance.

resultsWe identified 18 patients meeting criteria. TTM was initiated or continued in 72%, and in-hospital mortality was 75%. Median time-to-acceptance was 2.77 (interquartile range [IQR] 2.0, 4.1) minutes, and duration of calls was 3.95 (IQR 2.7, 5.2) minutes. Interrater reliability for overall RC was high (rho = 0.87). The correlation between RC and the time-to-acceptance was significant in univariate analyses (adjusted relative risk = 0.96, 95%CI 0.93, 1.0, p = 0.05). Secondary analyses did not find a significant relationship between RC and timeliness measures.

conclusionIn this sample of patients transferred for TTM, we found that RC as a measure of care coordination, was reliable. Higher quality care coordination for cardiac arrest survivors was associated with faster physician acceptance. Future work using a larger cohort should explore if higher RC among a broader set of stakeholders (physicians, EMS, families, etc.) is associated with timeliness measures after adjusting for other factors, to better understand how the quality of care coordination impacts timeliness of care and patient outcomes.

Indexed as

Hypothermia, InducedAgedFemaleHospital MortalityHumansMaleMiddle AgedOut-of-Hospital Cardiac ArrestPatient TransferPhysiciansQuality of Health CareResuscitationRetrospective StudiesSurvivorsTennesseeTime Factors

Identifiers

PMID31785983
PMCPMC7214124

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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.