Evidence map›Paper›PMID 23529278›Full record

ArticleJAMA internal medicine2013

Association of self-reported hospital discharge handoffs with 30-day readmissions.

Ibironke Oduyebo, Christoph U Lehmann, Craig Evan Pollack, Nowella Durkin, Jason D Miller, Steven Mandell, Margaret Ardolino, Amy Deutschendorf, Daniel J Brotman

Abstract read
In one paragraph

Article in JAMA internal medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

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  15. Measuring care transitions in Sweden: validation of the care transitions measure.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2018
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Ibironke OduyeboDepartments of Medicine, The Johns Hopkins University, Baltimore, MD 21287, USA.
Christoph U Lehmann
Craig Evan Pollack
Nowella Durkin
Jason D Miller
Steven Mandell
Margaret Ardolino
Amy Deutschendorf
Daniel J Brotman
Johns Hopkins University · USVanderbilt University · US

Funding

A Network Analytic Approach to Modeling Variation in Prostate Cancer CareK07CA151910 · NCI · JOHNS HOPKINS UNIVERSITY · PI POLLACK, CRAIG EVAN · 2011 to 2015
$780k
NCI NIH HHS K07 CA151910
6 · The paper itself

Abstract

importancePoor health care provider communication across health care settings may lead to adverse outcomes.

objectiveTo determine the frequency with which inpatient providers report communicating directly with outpatient providers and whether direct communication was associated with 30-day readmissions.

designWe conducted a single-center prospective study of self-reported communication patterns by discharging health care providers on inpatient medical services from September 2010 to December 2011 at The Johns Hopkins Hospital.

settingA 1000-bed urban, academic center.

participantsThere were 13 954 hospitalizations in this time period. Of those, 9719 were for initial visits. After additional exclusions, including patients whose outpatient health care provider was the inpatient attending physician, those who had planned or routine admissions, those without outpatient health care providers, those who died in the hospital, and those discharged to other healthcare facilities, we were left with 6635 hospitalizations for analysis.

interventionsSelf-reported communication was captured from a mandatory electronic discharge worksheet field. Thirty-day readmissions, length of stay (LOS), and demographics were obtained from administrative databases. DATA EXTRACTION: We used multivariable logistic regression models to examine, first, the association between direct communication and patient age, sex, LOS, race, payer, expected 30-day readmission rate based on diagnosis and illness severity, and physician type and, second, the association between 30-day readmission and direct communication, adjusting for patient and physician-level factors.

resultsOf 6635 included hospitalizations, successful direct communication occurred in 2438 (36.7%). The most frequently reported reason for lack of direct communication was the health care provider's perception that the discharge summary was adequate. Predictors of direct communication, adjusting for all other variables, included patients cared for by hospitalists without house staff (odds ratio [OR], 1.81 [95% CI, 1.59-2.08]), high expected 30-day readmission rate (OR, 1.18 [95% CI, 1.10-1.28] per 10%), and insurance by Medicare (OR, 1.35 [95% CI, 1.16-1.56]) and private insurance companies (OR, 1.35 [95% CI, 1.18-1.56]) compared with Medicaid. Direct communication with the outpatient health care provider was not associated with readmissions (OR, 1.08 [95% CI, 0.92-1.26]) in adjusted analysis. CONCLUSIONS AND RELEVANCE: Self-reported direct communication between inpatient and outpatient providers occurred at a low rate but was not associated with readmissions. This suggests that enhancing interprovider communication at hospital discharge may not, in isolation, prevent readmissions.

Indexed as

CommunicationInterprofessional RelationsHumansLength of StayPatient DischargePatient ReadmissionPractice Patterns, Physicians'Prospective StudiesSelf Report

Identifiers

PMID23529278
PMCPMC3692004
OpenAlexW1974260221

What OpenQuestion holds

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Registered trials

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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.