Evidence map›Paper›PMID 25658768›Full record

ArticlePopulation health management2015

The Impact of Hospital Closures and Hospital and Population Characteristics on Increasing Emergency Department Volume: A Geographic Analysis.

David C Lee, Brendan G Carr, Tony E Smith, Van C Tran, Daniel Polsky, Charles C Branas

Abstract readMulticenter Study
In one paragraph

Article in Population health management, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines 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

6 authors.

David C Lee1 Department of Emergency Medicine, New York University School of Medicine , New York, New York.
Brendan G Carr5 Department of Emergency Medicine, Kimmel School of Medicine, Thomas Jefferson University , Philadelphia, Pennsylvania.
Tony E Smith7 Department of Electrical and Systems Engineering, University of Pennsylvania , Philadelphia, Pennsylvania.
Van C Tran8 Department of Sociology, Columbia University , New York, New York.
Daniel Polsky4 Leonard Davis Institute of Health Economics, University of Pennsylvania , Philadelphia, Pennsylvania.
Charles C Branas4 Leonard Davis Institute of Health Economics, University of Pennsylvania , Philadelphia, Pennsylvania.

Funding

Optimization modeling and comparative effectiveness of regionalized stroke careR01HS018362 · AHRQ · UNIVERSITY OF PENNSYLVANIA · PI BRANAS, CHARLES C. · 2010 to 2013
$1.8M
OPTIMIZING TRAUMA SYSTEMS PLANNING USING INTERACTIVE WEB-BASED MAPPINGR01CE001615 · CE · UNIVERSITY OF PENNSYLVANIA · PI BRANAS, CHARLES C. · 2009 to 2011
$684k
APPLIED REGIONALIZATION OF EMERGENCY CARER01HS010914 · AHRQ · UNIVERSITY OF PENNSYLVANIA · PI BRANAS, CHARLES C. · 2002 to 2004
–
AHRQ HHS R01HS010914AHRQ HHS R01 HS018362NCIPC CDC HHS R01CE001615
6 · The paper itself

Abstract

Emergency visits are rising nationally, whereas the number of emergency departments is shrinking. However, volume has not increased uniformly at all emergency departments. It is unclear what factors account for this variability in emergency volume growth rates. The objective of this study was to test the association of hospital and population characteristics and the effect of hospital closures with increases in emergency department volume. The study team analyzed emergency department volume at New York State hospitals from 2004 to 2010 using data from cost reports and administrative databases. Multivariate regression was used to evaluate characteristics associated with emergency volume growth. Spatial analytics and distances between hospitals were used in calculating the predicted impact of hospital closures on emergency department use. Among the 192 New York hospitals open from 2004 to 2010, the mean annual increase in emergency department visits was 2.7%, but the range was wide (-5.5% to 11.3%). Emergency volume increased nearly twice as fast at tertiary referral centers (4.8%) and nonurban hospitals (3.7% versus urban at 2.1%) after adjusting for other characteristics. The effect of hospital closures also strongly predicted variation in growth. Emergency volume is increasing faster at specific hospitals: tertiary referral centers, nonurban hospitals, and those near hospital closures. This study provides an understanding of how emergency volume varies among hospitals and predicts the effect of hospital closures in a statewide region. Understanding the impact of these factors on emergency department use is essential to ensure that these populations have access to critical emergency services.

Indexed as

Population SurveillanceEmergency Service, HospitalHealth Facility ClosureHumansNew York CityRetrospective Studies

Identifiers

PMID25658768
PMCPMC5319431

What OpenQuestion holds

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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.