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Wiley InterScience | |||||||||||||||||||||
![]() Health Services ResearchVolume 43 Issue 4, Pages 1223 - 1243 Published Online: 17 Mar 2008 © 2010 Health Research and Educational Trust Published on behalf of Health Research and Educational Trust in cooperation with AcademyHealth.
Abstract | References | Full Text: HTML, PDF (Size: 138K) | Supporting Information | Related Articles | Citation Tracking An Empirical Taxonomy of Hospital Governing Board Roles Address correspondence to Shoou-Yih D. Lee, Ph.D., Associate Professor, Department of Health Policy and Administration, School of Public Health, University of North Carolina at Chapel Hill, 1101 McGavran-Greenberg Hall (CB# 7411), Chapel Hill, NC 27599-7411. E-mail: sylee@email.unc.edu. Jeffrey A. Alexander, Ph.D., is with the Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI. Virginia Wang, M.S.P.H. is with the Department of Health Policy and Administration, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC. Frances S. Margolin, M.A., is with the Health Research and Educational Trust, Chicago, IL. John R. Combes, M.D., is with the Center for Healthcare Governance, Chicago, IL. Copyright © 2008 Health Research and Educational Trust KEYWORDS U.S. hospitals • governing boards • taxonomy ABSTRACTObjective. To develop a taxonomy of governing board roles in U.S. hospitals. Data Sources. 2005 AHA Hospital Governance Survey, 2004 AHA Annual Survey of Hospitals, and Area Resource File. Study Design. A governing board taxonomy was developed using cluster analysis. Results were validated and reviewed by industry experts. Differences in hospital and environmental characteristics across clusters were examined. Data Extraction Methods. One-thousand three-hundred thirty-four hospitals with complete information on the study variables were included in the analysis. Principal Findings. Five distinct clusters of hospital governing boards were identified. Statistical tests showed that the five clusters had high internal reliability and high internal validity. Statistically significant differences in hospital and environmental conditions were found among clusters. Conclusions. The developed taxonomy provides policy makers, health care executives, and researchers a useful way to describe and understand hospital governing board roles. The taxonomy may also facilitate valid and systematic assessment of governance performance. Further, the taxonomy could be used as a framework for governing boards themselves to identify areas for improvement and direction for change. |
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