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The effect of quality and socio-demographic variables on efficiency measures in primary health care

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  • José Cordero Ferrera

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  • Eva Cebada
  • Luis Murillo Zamorano

Abstract

This paper aims to extend the literature on measuring efficiency in primary health care by considering the influence of quality indicators and environmental variables conjointly in a case study. In particular, environmental variables are represented by patients’ characteristics and quality indicators are based on technical aspects. In order to deal with both aspects, different extensions of data envelopment analysis (DEA) methodology are applied. Specifically, we use weight restrictions to ensure that the efficiency scores assigned to the evaluated units take quality data into account, and a four-stage model to identify which exogenous variables have impact on performance as well as to compute efficiency scores that incorporate this information explicitly. The results provide evidence in support of the importance of including information about both aspects in the analysis so that the efficiency measures obtained can be interpreted as an accurate reflection of performance. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • José Cordero Ferrera & Eva Cebada & Luis Murillo Zamorano, 2014. "The effect of quality and socio-demographic variables on efficiency measures in primary health care," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(3), pages 289-302, April.
  • Handle: RePEc:spr:eujhec:v:15:y:2014:i:3:p:289-302
    DOI: 10.1007/s10198-013-0476-1
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    References listed on IDEAS

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    Cited by:

    1. Fengyi Lin & Yung-Jr Deng & Wen-Min Lu & Qian Long Kweh, 2019. "Impulse response function analysis of the impacts of hospital accreditations on hospital efficiency," Health Care Management Science, Springer, vol. 22(3), pages 394-409, September.

    More about this item

    Keywords

    Primary health care; Data envelopment analysis; Efficiency; Quality management; I12; C14;

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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