Evidence map›Paper›PMID 30933243›Full record

ArticleJAMA internal medicine2019

Association Between Insurance Status and Access to Hospital Care in Emergency Department Disposition.

Arjun K Venkatesh, Shih-Chuan Chou, Shu-Xia Li, Jennie Choi, Joseph S Ross, Gail D'Onofrio, Harlan M Krumholz, Kumar Dharmarajan

Abstract read
In one paragraph

Article in JAMA internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–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

37 citing papers in PubMed.

  1. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Arjun K VenkateshDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut.
Shih-Chuan ChouDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Shu-Xia LiYale New Haven Hospital-Center for Outcomes Research and Evaluation, New Haven, Connecticut.
Jennie ChoiYale University School of Medicine, New Haven, Connecticut.
Joseph S RossYale New Haven Hospital-Center for Outcomes Research and Evaluation, New Haven, Connecticut.
Gail D'OnofrioDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut.
Harlan M KrumholzYale New Haven Hospital-Center for Outcomes Research and Evaluation, New Haven, Connecticut.
Kumar DharmarajanClover Health, Jersey City, New Jersey.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
Yale University Clinical and Translational Science Award ProgramKL2TR000140 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$2.9M
Geriatric Conditions and Readmission after Acute Myocardial InfarctionK23AG048331 · NIA · YALE UNIVERSITY · PI DHARMARAJAN, KUMAR · 2014 to 2017
$692k
NCATS NIH HHS KL2 TR000140NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863NIA NIH HHS K23 AG048331
6 · The paper itself

Abstract

Importance: Studies of public hospitals have reported increasing incidence of emergency department (ED) transfers of uninsured patients for hospitalization, which is perceived to be associated with financial incentives. Objective: To examine the differences in risk-adjusted transfer and discharge rates by patient insurance status among hospitals capable of providing critical care. Design, Setting, and Participants: A cross-sectional analysis of the 2015 National Emergency Department Sample was conducted, including visits between January 2015 and December 2015. Adult ED visits throughout 2015 (n = 215 028) for the 3 common medical conditions of pneumonia, chronic obstructive pulmonary disease, and asthma, at hospitals with intensive care capabilities were included. Only hospitals with advanced critical care capabilities for pulmonary care were included. Main Outcomes and Measures: The primary outcomes were patient-level and hospital-level risk-adjusted ED discharges, ED transfers, and hospital admissions. Adjusted odds of discharge or transfer compared with admission among uninsured patients, Medicaid and Medicare beneficiaries, and privately insured patients are reported. Hospital ownership status was used for the secondary analysis. Results: Of the 30 542 691 ED visits to 953 hospitals included in the 2015 National Emergency Department Sample, 215 028 visits (0.7%) were for acute pulmonary diseases to 160 intensive care-capable hospitals. These visits were made by patients with a median (interquartile range [IQR]) age of 55 (40-71) years and who were predominantly female (124 931 [58.1%]). Substantial variation in unadjusted and risk-standardized ED discharge, ED transfer, and hospital admission rates was found across EDs. Compared with privately insured patients, uninsured patients were more likely to be discharged (odds ratio [OR], 1.66; 95% CI, 1.57-1.76) and transferred (adjusted OR [aOR], 2.41; 95% CI, 2.08-2.79). Medicaid beneficiaries had comparable odds of discharge (aOR, 1.00; 95% CI, 0.97-1.04) but higher odds of transfer (aOR, 1.19; 95% CI, 1.05-1.33). Conclusions and Relevance: After accounting for hospital critical care capability and patient case mix, the study found that uninsured patients and Medicaid beneficiaries with common medical conditions appeared to have higher odds of interhospital transfer.

Indexed as

AdultAgedAsthmaCritical CareCross-Sectional StudiesDatabases, FactualEmergency Service, HospitalFemaleHealth Services AccessibilityHospitalizationHumansInsurance CoverageInsurance, HealthLung DiseasesMaleMedicaid

Identifiers

PMID30933243
PMCPMC6503571

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.