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Short-term Outcomes for Medicare Beneficiaries After Low-acuity Visits to Emergency Departments and Clinics

Datos Bibliográficos

ID9104486
AutoresMatthew Niedzwiecki (University of California San Francisco, San Francisco, CA), Matthew J Niedzwiecki (0000-0001-9005-9054, University of California, San Francisco, autor de correspondencia), Katherine Baicker (0000-0001-5960-3058, Harvard University), Michael Wilson (0000-0003-0217-7646, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA), Donald Cutler (0000-0002-4949-8917, Harvard University), David M Cutler (Harvard University), Ziad Obermeyer (0000-0002-4563-5849, Harvard University)
Año2016
Volumen54
Número5
Páginas498-503
Fecha de publicación2016-05-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000513
PMID27078822
OpenAlexW2334565331
IdiomaEN
Referencias citadas11

BACKGROUND: There is substantial interest in identifying low-acuity visits to emergency departments (EDs) that could be treated more appropriately in other settings. Systematic differences in illness severity between ED patients and comparable patients elsewhere could make such strategies unsafe, but little evidence exists to guide policy makers. OBJECTIVE: To compare illness severity between patients visiting EDs and outpatient clinics, by comparing short-term mortality and hospitalization, controlling for patient demographics, comorbidity, and visit acuity. RESEARCH DESIGN: Cross-sectional study of outcomes after medical encounters. SUBJECTS: Nationally representative 20% sample of Medicare fee-for-service beneficiaries discharged home from ED or clinic visit in 2011, and enrolled continuously for 1 year before the visit. MEASURES: All-cause mortality and hospitalization in the 8, 15, and 30 days after discharge home from ED or clinic visits. RESULTS: After risk-adjusting for patient demographic, comorbidity, disability, and dual-eligibility status, as well as visit acuity as measured by a commonly used algorithm, we found that ED patients were more likely to die (risk-adjusted odds ratio=2.75; 95% confidence interval, 2.56-2.96) or be hospitalized (odds ratio=1.97; 95% confidence interval, 1.95-2.00) after discharge than clinic patients. Differences in short-term outcomes were observed even when comparing patients with the same discharge diagnoses after risk adjustment. CONCLUSIONS: Patients presenting to EDs have worse risk-adjusted short-term outcomes than those presenting to outpatient clinics, even after controlling for acuity level of visit or discharge diagnosis. Existing measures of acuity using administrative data may not adequately capture severity of illness, making judgments of the appropriate setting for care difficult

Comorbidity · Confidence interval · Emergency department · Logistic regression · Medical diagnosis · Odds · Odds ratio · Psychiatry · Chronic Disease Management Strategies · Emergency and Acute Care Studies · Emergency Medicine · Health Promotion and Cardiovascular Prevention · Internal Medicine · Medicine

  • Validation of an Algorithm for Categorizing the Severity of Hospital Emergency Department Visits

    Dustin W Ballard, Mary Price et al.•Medical Care•2010

Velocidad de citaciónhistorical
Altamente citadoNo
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