Evidence map›Paper›PMID 21586713›Full record

ArticleJAMA2011

Factors associated with closures of emergency departments in the United States.

Renee Y Hsia, Arthur L Kellermann, Yu-Chu Shen

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in JAMA, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 90 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 4 pooled it
21.6field-weighted citation impact, top 1% 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

90 citing papers in PubMed, 4 syntheses or guidelines pooled it, 232 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Why Do People Choose Emergency and Urgent Care Services? A Rapid Review Utilizing a Systematic Literature Search and Narrative Synthesis.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2017
    Pooled it
  4. Guideline
  5. Trial
  6. Article
  7. The Implications of Private Equity Investment in Emergency Medicine.Journal of the American College of Emergency Physicians open · 2026
    Article
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30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Renee Y HsiaDepartment of Emergency Medicine, University of California, San Francisco, CA, USA. renee.hsia@ucsf.edu
Arthur L Kellermann
Yu-Chu Shen
University of California, San Francisco · USSan Francisco General Hospital · US

Funding

CTSA: K12 COMPONENTKL2RR024130 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$19.3M
Clinical and Transtional Science InstituteKL2TR000143 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$11.9M
NCATS NIH HHS KL2 TR000143NCRR NIH HHS KL2 RR024130
6 · The paper itself

Abstract

contextBetween 1998 and 2008, the number of hospital-based emergency departments (EDs) in the United States declined, while the number of ED visits increased, particularly visits by patients who were publicly insured and uninsured. Little is known about the hospital, community, and market factors associated with ED closures. Federal law requiring EDs to treat all in need regardless of a patient's ability to pay may make EDs more vulnerable to the market forces that govern US health care.

objectiveTo determine hospital, community, and market factors associated with ED closures.

designEmergency department and hospital organizational information from 1990 through 2009 was acquired from the American Hospital Association (AHA) Annual Surveys (annual response rates ranging from 84%-92%) and merged with hospital financial and payer mix information available through 2007 from Medicare hospital cost reports. We evaluated 3 sets of risk factors: hospital characteristics (safety net [as defined by hospitals caring for more than double their Medicaid share of discharges compared with other hospitals within a 15-mile radius], ownership, teaching status, system membership, ED size, case mix), county population demographics (race, poverty, uninsurance, elderly), and market factors (ownership mix, profit margin, location in a competitive market, presence of other EDs).

settingAll general, acute, nonrural, short-stay hospitals in the United States with an operating ED anytime from 1990-2009.

main outcome measureClosure of an ED during the study period.

resultsFrom 1990 to 2009, the number of hospitals with EDs in nonrural areas declined from 2446 to 1779, with 1041 EDs closing and 374 hospitals opening EDs. Based on analysis of 2814 urban acute-care hospitals, constituting 36,335 hospital-year observations over an 18-year study interval (1990-2007), for-profit hospitals and those with low profit margins were more likely to close than their counterparts (cumulative hazard rate based on bivariate model, 26% vs 16%; hazard ratio [HR], 1.8; 95% confidence interval [CI], 1.5-2.1, and 36% vs 18%; HR, 1.9; 95% CI, 1.6-2.3, respectively). Hospitals in more competitive markets had a significantly higher risk of closing their EDs (34% vs 17%; HR, 1.3; 95% CI, 1.1-1.6), as did safety-net hospitals (10% vs 6%; HR, 1.4; 95% CI, 1.1-1.7) and those serving a higher share of populations in poverty (37% vs 31%; HR, 1.4; 95% CI, 1.1-1.7).

conclusionFrom 1990 to 2009, the number of hospital EDs in nonrural areas declined by 27%, with for-profit ownership, location in a competitive market, safety-net status, and low profit margin associated with increased risk of ED closure.

Indexed as

Economic CompetitionPovertyAgedAmerican Hospital AssociationData CollectionDiagnosis-Related GroupsEmergency Service, HospitalHealth Facility ClosureHospitals, PrivateHospitals, UrbanHumansMedicaidMedically UninsuredMedicareOwnershipUncompensated Care

Identifiers

PMID21586713
PMCPMC4063529
OpenAlexW2139269547

What OpenQuestion holds

Textmetadata
LicenceTDM
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.