Document Detail

The effect of insurance status, race, and gender on ED disposition of persons with traumatic brain injury.
MedLine Citation:
PMID:  15520941     Owner:  NLM     Status:  MEDLINE    
The objective of this study was to assess the effect of insurance status and demographic characteristics on ED disposition among patients with traumatic brain injury (TBI). Statewide hospital discharge and ED datasets in South Carolina, 1996-2001, were analyzed by primary or secondary diagnosis of TBI in a multivariable logistic regression model. Of 70,671 unduplicated patients with TBI evaluated in the ED, 76% were treated and released; 26% had no insurance. The strongest predictors of hospital admission were TBI severity and preexisting health conditions. However, the uninsured and black females were less likely to be hospitalized after adjusting for demographic, clinical, and hospital characteristics (odds ratio [OR], 0.52; 95% confidence interval [CI], 0.48-0.55 and OR, 0.79; CI, 0.72-0.87, respectively). Although this study does not infer causality, insurance status, race, and gender were significant predictors of hospital admission. These results suggest that inpatient resources are not equitably used.
Anbesaw Wolde Selassie; Emily Elisabeth Pickelsimer; Leroy Frazier; Pamela Lynn Ferguson
Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  The American journal of emergency medicine     Volume:  22     ISSN:  0735-6757     ISO Abbreviation:  Am J Emerg Med     Publication Date:  2004 Oct 
Date Detail:
Created Date:  2004-11-02     Completed Date:  2004-12-21     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  8309942     Medline TA:  Am J Emerg Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  465-73     Citation Subset:  IM    
Department of Biometry and Epidemiology, Medical University of South Carolina, Charleston 29425, USA.
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MeSH Terms
Abbreviated Injury Scale
African Americans / statistics & numerical data*
Brain Injuries / economics,  ethnology,  therapy*
Emergency Service, Hospital / economics,  utilization*
European Continental Ancestry Group / statistics & numerical data*
Health Services Accessibility*
Insurance Coverage*
Patient Admission / economics,  statistics & numerical data*
Rural Population / statistics & numerical data
Sex Factors
South Carolina
Urban Population / statistics & numerical data
Grant Support
U17/CCU411892/CC/CDC HHS; U17/CCU414981/CC/CDC HHS

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