Exploring psychiatric hospital performance using data envelopment analysis and cluster analysis


Ferrier, GD; Valdmanis, VG; (2002) Exploring psychiatric hospital performance using data envelopment analysis and cluster analysis. Journal D'Economie Medicale, 20 (3-4). pp. 143-153.

Full text not available from this repository.

Abstract

In this paper, we apply Data Envelopment Analysis (DEA) and cluster analysis (CA) to assess psychiatric hospitals operating in the US. DEA is utilized to examine the relative performance of these hospitals in terms of input use. CA is applied for two purposes. First, we use CA to find similar hospitals prior to the DEA to facilitate peer-groupings; and second, we can also use CA to identify factors that distinguish efficient from inefficient hospitals. To preview our results, we find that even though public hospitals appear to be relatively less efficient than either not-for-profit or for-profit hospitals, no one ownership group dominated any other in terms of efficiency. Using CA, we identify which groupings of hospitals (irrespective of ownership) make up peer groupings based on hospital characteristics. This approach is superior to simply stratifying by ownership which may lead to biased efficiency results.

Item Type: Article
Keywords: *Mental Hospital, Cluster Analysis, Public Hospital, Hospital Management, Health Insurance, Article
Faculty and Department: Faculty of Public Health and Policy > Dept of Global Health and Development
URI: http://researchonline.lshtm.ac.uk/id/eprint/16002

Statistics


Download activity - last 12 months
Downloads since deposit
0Downloads
412Hits
Accesses by country - last 12 months
Accesses by referrer - last 12 months
Additional statistics for this record are available via IRStats2

Actions (login required)

Edit Item Edit Item