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Analysis of the effect of patients’ health status on efficiency: Application of data envelopment analysis in healthcare

Analysis of the effect of patients’ health status on efficiency: Application of data envelopment... The effective and efficient operation of public healthcare systems is more and more important as a consequence of the increasing amount of money spent on their operation. For this reason, accurate and science-based efficiency information is needed for managers and healthcare policy makers. The evaluation of the efficiency in this sector is particularly difficult because several measures and indicators are used. Data envelopment analysis (DEA) can provide aggregate and overall measures of efficiency. The purpose of this paper is the examination of the efficiency of in-patient rehabilitation units curing musculoskeletal disorders in Hungary. The research presented focuses on rehabilitation units which attend to patients recovering from stroke or other acquired brain injuries. Output-oriented, slack-based DEA models are applied for the evaluation of in-patient rehabilitation units using data of a national survey. The novelty of the method presented is the consideration of the change in patients' functional status when efficiency is evaluated using DEA. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Health Services Management Research SAGE

Analysis of the effect of patients’ health status on efficiency: Application of data envelopment analysis in healthcare

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References (31)

Publisher
SAGE
Copyright
© The Author(s) 2022
ISSN
0951-4848
eISSN
1758-1044
DOI
10.1177/09514848211065464
Publisher site
See Article on Publisher Site

Abstract

The effective and efficient operation of public healthcare systems is more and more important as a consequence of the increasing amount of money spent on their operation. For this reason, accurate and science-based efficiency information is needed for managers and healthcare policy makers. The evaluation of the efficiency in this sector is particularly difficult because several measures and indicators are used. Data envelopment analysis (DEA) can provide aggregate and overall measures of efficiency. The purpose of this paper is the examination of the efficiency of in-patient rehabilitation units curing musculoskeletal disorders in Hungary. The research presented focuses on rehabilitation units which attend to patients recovering from stroke or other acquired brain injuries. Output-oriented, slack-based DEA models are applied for the evaluation of in-patient rehabilitation units using data of a national survey. The novelty of the method presented is the consideration of the change in patients' functional status when efficiency is evaluated using DEA.

Journal

Health Services Management ResearchSAGE

Published: Feb 1, 2023

Keywords: efficiency; health economics; health service management; health services research; management; performance evaluation

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