Evidence map›Paper›PMID 23465554›Full record

ArticleAnnals of emergency medicine2013

Factors associated with short-term bounce-back admissions after emergency department discharge.

Gelareh Z Gabayan, Steven M Asch, Renee Y Hsia, David Zingmond, Li-Jung Liang, Weijuan Han, Heather McCreath, Robert E Weiss, Benjamin C Sun

Abstract read
In one paragraph

Article in Annals of emergency medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

54 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Patient-reported outcome measure use among older adults after emergency department care: A systematic review.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024
    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

9 authors.

Gelareh Z GabayanDepartment of Medicine, University of California-Los Angeles, Los Angeles, CA, USA. gelareh@gabayan.com
Steven M Asch
Renee Y Hsia
David Zingmond
Li-Jung Liang
Weijuan Han
Heather McCreath
Robert E Weiss
Benjamin C Sun

Funding

CTSA: K12 COMPONENTKL2RR024130 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$19.3M
UCLA Clinical and Translational Science InstituteKL2TR000122 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$4.5M
Emergency Department Crowding: Community Determinants and Patient OutcomesR03HS018098 · AHRQ · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SUN, BENJAMIN C · 2009 to 2010
$100k
AHRQ HHS R03 HS018098AHRQ HHS R03 HS18098NCATS NIH HHS KL2 TR000122NCATS NIH HHS KL2TR000122NCRR NIH HHS KL2 RR024130
6 · The paper itself

Abstract

STUDY

objectiveHospitalizations that occur shortly after emergency department (ED) discharge may reveal opportunities to improve ED or follow-up care. There currently is limited, population-level information about such events. We identify hospital- and visit-level predictors of bounce-back admissions, defined as 7-day unscheduled hospital admissions after ED discharge.

methodsUsing the California Office of Statewide Health Planning and Development files, we conducted a retrospective cohort analysis of adult (aged >18 years) ED visits resulting in discharge in 2007. Candidate predictors included index hospital structural characteristics such as ownership, teaching affiliation, trauma status, and index ED size, along with index visit patient characteristics of demographic information, day of service, against medical advice or eloped disposition, insurance, and ED primary discharge diagnosis. We fit a multivariable, hierarchic logistic regression to account for clustering of ED visits by hospitals.

resultsThe study cohort contained a total of 5,035,833 visits to 288 facilities in 2007. Bounce-back admission within 7 days occurred in 130,526 (2.6%) visits and was associated with Medicaid (odds ratio [OR] 1.42; 95% confidence interval [CI] 1.40 to 1.45) or Medicare insurance (OR 1.53; 95% CI 1.50 to 1.55) and a disposition of leaving against medical advice or before the evaluation was complete (OR 1.90; 95% CI 1.89 to 2.0). The 3 most common age-adjusted index ED discharge diagnoses associated with a bounce-back admission were chronic renal disease, not end stage (OR 3.3; 95% CI 2.8 to 3.8), end-stage renal disease (OR 2.9; 95% CI 2.4 to 3.6), and congestive heart failure (OR 2.5; 95% CI 2.3 to 2.6). Hospital characteristics associated with a higher bounce-back admission rate were for-profit status (OR 1.2; 95% CI 1.1 to 1.3) and teaching affiliation (OR 1.2; 95% CI 1.0 to 1.3).

conclusionWe found 2.6% of discharged patients from California EDs to have a bounce-back admission within 7 days. We identified vulnerable populations, such as the very old and the use of Medicaid insurance, and chronic or end-stage renal disease as being especially at risk. Our findings suggest that quality improvement efforts focus on high-risk individuals and that the disposition plan of patients consider vulnerable populations.

Indexed as

Emergency Service, HospitalPatient DischargePatient ReadmissionAdolescentAdultAgedAged, 80 and overCaliforniaCohort StudiesFemaleHealth Care SurveysHumansLogistic ModelsMaleMiddle AgedMultivariate Analysis

Identifiers

PMID23465554
PMCPMC3720678

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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.