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Measuring performance in primary care: econometric analysis and DEA

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  • Antonio Giuffrida
  • Hugh Gravelle

Abstract

We use data from the Health Service Indicators database to compare different methods of measuring the performance of English Family Health Services Authorities (FHSAs) in providing primary care. A variety of regression and data envelopment analysis methods are compared as summary efficiency measures of individual FHSA performance. The correlation of the rankings of FHSAs across DEA and regression methods, across two years of data and across three different specifications of the technology of primary care are examined. Efficiency scores are highly correlated within variants of the two methods, and across years for a given method. Inter method correlations are smaller and correlations across different specifications of the primary care production process are negligible and sometime negative.

Suggested Citation

  • Antonio Giuffrida & Hugh Gravelle, 2001. "Measuring performance in primary care: econometric analysis and DEA," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 163-175.
  • Handle: RePEc:taf:applec:v:33:y:2001:i:2:p:163-175
    DOI: 10.1080/00036840122522
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    References listed on IDEAS

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    1. Giuffrida, Antonio & Gravelle, Hugh & Sutton, Matthew, 2000. "Efficiency and administrative costs in primary care," Journal of Health Economics, Elsevier, vol. 19(6), pages 983-1006, November.
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    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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