Etienne E Pracht 1 , Barbara Langland-Orban 1 , Jessica L Ryan 1 . Show Affiliations »
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.
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: Disease
Species
Keywords:
Incentives in Health Care; hospitals; ownership; supplier-induced demand
Mesh: See more »
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