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Comparative Efficiency Assessment of Primary Care Models Using Data Envelopment Analysis

Author

Listed:
  • Olga Milliken

    (Department of Economics, University of Ottawa)

  • Rose Anne Devlin

    (Department of Economics, University of Ottawa)

  • Vicky Barham

    (Department of Economics, University of Ottawa)

  • William Hogg

    (Department of Family Medicine, University of Ottawa)

  • Simone Dahrouge

    (C.T. Lamont Primary Health Care Research Centre, Élisabeth Bruyère Research Institute, Ottawa)

  • Grant Russell

    (C.T. Lamont Primary Health Care Research Centre, Élisabeth Bruyère Research Institute, Ottawa)

Abstract

This paper compares the productive efficiencies of four models of primary care service delivery in Ontario, Canada, using the data envelopment analysis (DEA) method. Particular care is taken to include quality of service as part of our output measure. The influence of the delivery model on productive efficiency is disentangled from patient characteristics using regression analysis. Significant differences are found in the efficiency scores across models and within each model. In general, the fee-for-service arrangement ranks the highest and the community-health-centre model the lowest in efficiency scoring. The reliance of our input measures on costs and number of patients, clearly favours the fee-for-service model. Patient characteristics contribute little to explaining differences in the efficiency ranking across the models.

Suggested Citation

  • Olga Milliken & Rose Anne Devlin & Vicky Barham & William Hogg & Simone Dahrouge & Grant Russell, 2008. "Comparative Efficiency Assessment of Primary Care Models Using Data Envelopment Analysis," Working Papers 0802E, University of Ottawa, Department of Economics.
    • Handle: RePEc:ott:wpaper:0802e
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    References listed on IDEAS

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    Cited by:

    1. Matthieu Cassou & Julien Mousquès & Carine Franc, 2020. "General practitioners’ income and activity: the impact of multi-professional group practice in France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(9), pages 1295-1315, December.
    2. Margherita Neri & Patricia Cubi-Molla & Graham Cookson, 2022. "Approaches to Measure Efficiency in Primary Care: A Systematic Literature Review," Applied Health Economics and Health Policy, Springer, vol. 20(1), pages 19-33, January.
    3. Maude Laberge & Walter P. Wodchis & Jan Barnsley & Audrey Laporte, 2016. "Efficiency of Ontario primary care physicians across payment models: a stochastic frontier analysis," Health Economics Review, Springer, vol. 6(1), pages 1-10, December.
    4. Zhichao Wang & Valentin Zelenyuk, 2021. "Performance Analysis of Hospitals in Australia and its Peers: A Systematic Review," CEPA Working Papers Series WP012021, School of Economics, University of Queensland, Australia.
    5. M. C. Gouveia & L. C. Dias & C. H. Antunes & M. A. Mota & E. M. Duarte & E. M. Tenreiro, 2016. "An application of value-based DEA to identify the best practices in primary health care," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(3), pages 743-767, July.

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    More about this item

    Keywords

    Productive Efficiency; DEA; Primary Health Care;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I19 - Health, Education, and Welfare - - Health - - - Other

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