Literature DB >> 28074471

The Probability of Hospitalizations for Mild-to-Moderate Injuries by Trauma Center Ownership Type.

Etienne E Pracht1, Barbara Langland-Orban1, Jessica L Ryan1.   

Abstract

OBJECTIVE: To corroborate anecdotal evidence with systematic evidence of a lower threshold for admission among for-profit hospitals. DATA SOURCES: The study used Florida emergency department and hospital discharge datasets for 2012 to 2014. The treatment variable of interest was for-profit-designated trauma center status. The dependent variable indicated whether a patient with mild-to-moderate injuries was admitted after presenting as a trauma alert and then discharged to home. A separate analysis was conducted of discharges that had a 1-day length of stay. STUDY
DESIGN: Generalized estimation equations with logistic distribution models were used to control for the confounding influences and developed for four groups of patients: ICISS = 1 (no probability of mortality), ICISS ≥ 0.99, ICISS ≥ 0.95, and ICISS ≥ 0.85 (zero to 15 percent probability of mortality, which includes all mild and moderate injury patients). PRINCIPAL
FINDINGS: For the ICISS = 1 and ICISS ≥ 0.99 models, the centers' for-profit status was the most important predictor. In the ICISS ≥ 0.95 and ICISS ≥ 0.85 models, injury type played a more important role, but for-profit status remained important. For patients with a 1-day stay, for-profit status was associated with an even higher probability of hospitalization.
CONCLUSIONS: Considerable differences exist between for-profit and not-for-profit trauma centers concerning hospitalization among the study population, which may be explained by supplier-induced demand. © Health Research and Educational Trust.

Entities:  

Keywords:  Incentives in Health Care; hospitals; ownership; supplier-induced demand

Mesh:

Year:  2017        PMID: 28074471      PMCID: PMC5785306          DOI: 10.1111/1475-6773.12646

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  17 in total

1.  An overview of methods for the analysis of longitudinal data.

Authors:  S L Zeger; K Y Liang
Journal:  Stat Med       Date:  1992 Oct-Nov       Impact factor: 2.373

2.  Not-for-profit versus for-profit health care providers-Part I: comparing and contrasting their records.

Authors:  Timothy Rotarius; Antonio J Trujillo; Aaron Liberman; Bernardo Ramirez
Journal:  Health Care Manag (Frederick)       Date:  2005 Oct-Dec

3.  Not-for-profit versus for-profit health care providers--Part II: Comparing and contrasting their records.

Authors:  Timothy Rotarius; Antonio J Trujillo; Aaron Liberman; Bernardo Ramirez
Journal:  Health Care Manag (Frederick)       Date:  2006 Jan-Mar

4.  Effectiveness of state trauma systems in reducing injury-related mortality: a national evaluation.

Authors:  A B Nathens; G J Jurkovich; F P Rivara; R V Maier
Journal:  J Trauma       Date:  2000-01

5.  Survival advantage associated with treatment of injury at designated trauma centers: a bivariate probit model with instrumental variables.

Authors:  Etienne E Pracht; Joseph J Tepas; Brian G Celso; Barbara Langland-Orban; Lewis Flint
Journal:  Med Care Res Rev       Date:  2007-02       Impact factor: 3.929

6.  Longitudinal data analysis for discrete and continuous outcomes.

Authors:  S L Zeger; K Y Liang
Journal:  Biometrics       Date:  1986-03       Impact factor: 2.571

7.  Evaluation of a mature trauma system.

Authors:  Rodney Durham; Etienne Pracht; Barbara Orban; Larry Lottenburg; Joseph Tepas; Lewis Flint
Journal:  Ann Surg       Date:  2006-06       Impact factor: 12.969

8.  Insurance status, not race, is a determinant of outcomes from vehicular injury.

Authors:  Joseph J Tepas; Etienne E Pracht; Barbara L Orban; Lewis M Flint
Journal:  J Am Coll Surg       Date:  2011-04       Impact factor: 6.113

9.  Do pediatric patients with trauma in Florida have reduced mortality rates when treated in designated trauma centers?

Authors:  Etienne E Pracht; Joseph J Tepas; Barbara Langland-Orban; Lisa Simpson; Pam Pieper; Lewis M Flint
Journal:  J Pediatr Surg       Date:  2008-01       Impact factor: 2.545

10.  Professional uncertainty and the problem of supplier-induced demand.

Authors:  J E Wennberg; B A Barnes; M Zubkoff
Journal:  Soc Sci Med       Date:  1982       Impact factor: 4.634

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