Data envelopment analysis applied to quality in primary health care
The quality of primary care should ultimately be judged on the effect of health outcome of individual patients. However, for the foreseeable future, it is inconceivable that the necessary data will be available to implement this principle. And in any case, specification of the necessary statistical model is fraught with difficulty. This paper therefore applies data envelopment analysis (DEA) to quality in primary health care administration, in the belief that it offers a consistent and helpful “intermediate technology” for assessing performance. Many of the outputs of primary care are intangible and unfold over a long time period. It is therefore useful to judge the quality of primary care on the basis of process variables, which are particularly well suited to DEA. Moreover, DEA is not vulnerable to the misspecification bias that afflicts statistical models. The principle difficulty DEA gives rise to is the selection of relevant environmental variables. The issues are illustrated with an example from English Family Health Service Authorities.
|Date of creation:||Jul 1994|
|Contact details of provider:|| Postal: York Y010 5DD|
Phone: (01904) 321401
Web page: http://www.york.ac.uk/che
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Roll, Y & Golany, B., 1993. "Alternate methods of treating factor weights in DEA," Omega, Elsevier, vol. 21(1), pages 99-109, January.
- Rosenhead, J., 1978. "Operational research in health services planning," European Journal of Operational Research, Elsevier, vol. 2(2), pages 75-85, March.
- N/A, 1985. "General Policy," India Quarterly: A Journal of International Affairs, , vol. 41(1), pages 74-79, January.
- N/A, 1985. "General Policy," India Quarterly: A Journal of International Affairs, , vol. 41(1), pages 112-117, January.
- R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
- Rajiv D. Banker & Robert F. Conrad & Robert P. Strauss, 1986. "A Comparative Application of Data Envelopment Analysis and Translog Methods: An Illustrative Study of Hospital Production," Management Science, INFORMS, vol. 32(1), pages 30-44, January.
- Thompson, Russell G. & Langemeier, Larry N. & Lee, Chih-Tah & Lee, Euntaik & Thrall, Robert M., 1990. "The role of multiplier bounds in efficiency analysis with application to Kansas farming," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 93-108.
- Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
- Grosskopf, S. & Valdmanis, V., 1987. "Measuring hospital performance : A non-parametric approach," Journal of Health Economics, Elsevier, vol. 6(2), pages 89-107, June.
- Valdmanis, Vivian, 1992. "Sensitivity analysis for DEA models : An empirical example using public vs. NFP hospitals," Journal of Public Economics, Elsevier, vol. 48(2), pages 185-205, July.
When requesting a correction, please mention this item's handle: RePEc:chy:respap:124chedp. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Frances Sharp)
If references are entirely missing, you can add them using this form.