Defense Date

2011

Document Type

Dissertation

Degree Name

Doctor of Philosophy

Department

Health Services Organization and Research

First Advisor

Stephen Mick

Second Advisor

David Harless

Third Advisor

Roice Luke

Fourth Advisor

Yasar Ozcan

Abstract

The formation of multi-hospital systems represents one of the largest structural changes in the hospital industry. As of 2008, system affiliated hospitals outnumbered stand alone hospitals 2511 to 2167 and the percentage of system affiliated rural hospitals has increased dramatically from 24.8% in 1983 to 42.2% in 2008 (based on AHA data for non-federal acute care general hospitals). The effects of system membership on hospital performance have been of great interest to health care researchers, but the majority of research on multi-hospital systems has either focused exclusively on urban facilities or pooled urban and rural facilities in the same sample, and thus failed to allow for potential differences in membership effects between urban and rural hospitals. The result is that the effect of system membership on rural hospital performance has remained largely unexplored, creating a gap in the body of health services research. The objectives of this study are both theoretical and empirical. Theoretically, this study is intended to be a deliberate empirical application of contingency theory, which is the one major organizational theory that seeks to explain variations in organizational performance as its fundamental purpose. Empirically, this study seeks to explore the relationship between rural hospital system membership and rural hospital performance, taking into account the environment of the rural hospital and the structure of the multi-hospital system to which it belongs. The study sample consists of 1010 non-federal, short-term, acute care general rural hospitals with consistent system membership and critical access hospital (CAH) status from 2004 to 2008. Hospital economic performance is represented by the dependent variables of hospital total margin and a productive efficiency score calculated using Data Envelopment Analysis (DEA). Four contingent pairs containing measures for environmental munificence, system membership, the presence of local system partners, the presence of hierarchical system partners, and CAH status, were used to measure a hospital’s fit between environment and structure. Regression analysis was used to determine the relationship between hospital performance and the fit between a hospital’s environment and its organizational/system structure. Results of the analysis indicate that hospitals with a better fit have significantly higher total margins, but results for productive efficiency were largely insignificant.

Rights

© The Author

Is Part Of

VCU University Archives

Is Part Of

VCU Theses and Dissertations

Date of Submission

July 2011

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