Evidence map›Paper›PMID 22884942›Full record

ArticleSocial science & medicine (1982)2012

Revenue, relationships and routines: the social organization of acute myocardial infarction patient transfers in the United States.

Tiffany C Veinot, Emily A Bosk, K P Unnikrishnan, Theodore J Iwashyna

Open access · greenAbstract read
In one paragraph

Article in Social science & medicine (1982), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
10.2field-weighted citation impact, top 2% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Applications of network analysis to routinely collected health care data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018
    Pooled it
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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

4 authors at 4 institutions in 1 country.

Tiffany C VeinotSchool of Information and School of Public Health, University of Michigan, Ann Arbor, MI 48109-1285, USA. tveinot@umich.edu
Emily A Bosk
K P Unnikrishnan
Theodore J Iwashyna
Michigan United · USNorthShore University HealthSystem · USUniversity of Michigan–Ann Arbor · USVA Ann Arbor Healthcare System · US

Funding

The structure and outcomes of critical care transfer networkK08HL091249 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI IWASHYNA, THEODORE J · 2008 to 2012
$661k
NHLBI NIH HHS K08 HL091249
6 · The paper itself

Abstract

Heart attack, or acute myocardial infarction (AMI), is a leading cause of death in the United States (U.S.). The most effective therapy for AMI is rapid revascularization: the mechanical opening of the clogged artery in the heart. Forty-four percent of patients with AMI who are admitted to a non-revascularization hospital in the U.S. are transferred to a hospital with that capacity. Yet, we know little about the process by which community hospitals complete these transfers, and why publicly available hospital quality data plays a small role in community hospitals' choice of transfer destinations. Therefore, we investigated how community hospital staff implement patient transfers and select destinations. We conducted a mixed methods study involving: interviews with staff at three community hospitals (n = 25) in a Midwestern state and analysis of U.S. national Medicare records for 1996-2006. Community hospitals in the U.S., including our field sites, typically had longstanding relationships with one key receiving hospital. Community hospitals addressed the need for rapid AMI patient transfers by routinizing the collective, interhospital work process. Routinization reduced staff uncertainty, coordinated their efforts and conserved their cognitive resources for patient care. While destination selection was nominally a physician role, the decision was routinized, such that staff immediately contacted a "usual" transfer destination upon AMI diagnosis. Transfer destination selection was primarily driven at an institutional level by organizational concerns and bed supply, rather than physician choice or patient preference. Transfer routinization emerged as a form of social order that invoked tradeoffs between process speed and efficiency and patient-centered, quality-driven decision making. We consider the implications of routinization and institutional imperatives for health policy, quality improvement and health informatics interventions.

Indexed as

Decision Making, OrganizationalInterinstitutional RelationsEmergency Service, HospitalHospitals, CommunityHumansIntensive Care UnitsMedicareMidwestern United StatesMyocardial InfarctionPatient TransferQualitative ResearchUnited States

Identifiers

PMID22884942
PMCPMC3626995
OpenAlexW2072569811

What OpenQuestion holds

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Read underepoch 390

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.