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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
  • 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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    Cited by:

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    2. Silvia González-de-Julián & Isabel Barrachina-Martínez & David Vivas-Consuelo & Álvaro Bonet-Pla & Ruth Usó-Talamantes, 2021. "Data Envelopment Analysis Applications on Primary Health Care Using Exogenous Variables and Health Outcomes," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    3. 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.
    4. Margit Sommersguter-Reichmann, 2022. "Health care quality in nonparametric efficiency studies: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 67-131, March.
    5. Edson Serván-Mori & Carlos Chivardi & Fato Fene & Ileana Heredia-Pi & Miguel Ángel Mendoza & Gustavo Nigenda, 2020. "Tackling maternal mortality by improving technical efficiency in the production of primary health services: longitudinal evidence from the Mexican case," Health Care Management Science, Springer, vol. 23(4), pages 571-584, December.
    6. Sandra G. Sosa-Rubí & Sergio Bautista-Arredondo & Carlos Chivardi-Moreno & David Contreras-Loya & Gina Hera-Fuentes & Marjorie Opuni, 2021. "Efficiency, quality, and management practices in health facilities providing outpatient HIV services in Kenya, Nigeria, Rwanda, South Africa and Zambia," Health Care Management Science, Springer, vol. 24(1), pages 41-54, March.

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    More about this item

    Keywords

    Primary health care; Data envelopment analysis; Efficiency; Quality management; I12; C14;
    All these keywords.

    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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