Errors in survey based quality evaluation variables in efficiency models of primary care physicians
AbstractEfficiency analyses in the health care sector are often criticised for not incorporating quality variables. The definition of quality of primary health care has many aspects, and it is inevitably also a question of the patientsâ perception of the services received. This paper uses variables derived from patient evaluation surveys as measures of the quality of the production of health care services. It uses statistical tests to judge if such measures have a significant impact on the use of resources in various Data Envelopment Analysis (DEA) models. As the use of survey data implies that the quality variables are measured with error, the assumptions underlying a DEA model are not strictly fulfilled. This paper focuses on ways of correcting for biases that might result from the violation of selected assumptions. Firstly, any selection bias in the patient mix of each physician is controlled for by regressing the patient evaluation responses on the patient characteristics. The corrected quality evaluation variables are entered as outputs in the DEA model, and model specification tests indicate that out of 25 different quality variables, only waiting time has a systematic impact on the efficiency results. Secondly, the effect on the efficiency estimates of the remaining sampling error in the patient sample for each physician is accounted for by constructing confidence intervals based on resampling. Finally, as an alternative approach to including the quality variables in the DEA model, a regression model finds different variables significant, but not always with a trade-of between quality and quantity.
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Bibliographic InfoPaper provided by Oslo University, Department of Economics in its series Memorandum with number 24/2001.
Date of creation: 2001
Date of revision:
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Postal: Department of Economics, University of Oslo, P.O Box 1095 Blindern, N-0317 Oslo, Norway
Phone: 22 85 51 27
Fax: 22 85 50 35
Web page: http://www.oekonomi.uio.no/indexe.html
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data envelopment analysis;
Other versions of this item:
- Kittelsen, Sverre A.C. & Kjæserud, Guri Galtung & Kvamme, Odd Jarle, 2009. "Errors in Survey Based Quality Evaluation Variables in Efficiency Models of Primary Care Physicians," HERO On line Working Paper Series 2001:12, Oslo University, Health Economics Research Programme.
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- I12 - Health, Education, and Welfare - - Health - - - Health Production
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- repec:fth:louvco:9639 is not listed on IDEAS
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