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Pricing public health care services using DEA: Methodology versus politics

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  • Paul Rouse
  • Robert Swales

Abstract

The New Zealand public health sector has used DEA since 1997 to identify efficient expenditure levels to set prices for hospital services at the DRG level. Given the size of the expenditure (NZ$ 2.6 billion), considerable robustness was required for the results and sophistication of the models/process. While the model development and application appeared to be successful, politics overturned the results in the short run. In the longer term, the results have been shown to be reasonably robust and have become a base-line reference for future developments. As such, this paper reports a relatively successful transfer of theory into practice. Copyright Springer Science + Business Media, Inc. 2006

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  • Paul Rouse & Robert Swales, 2006. "Pricing public health care services using DEA: Methodology versus politics," Annals of Operations Research, Springer, vol. 145(1), pages 265-280, July.
    • Handle: RePEc:spr:annopr:v:145:y:2006:i:1:p:265-280:10.1007/s10479-006-0041-8
    DOI: 10.1007/s10479-006-0041-8
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    2. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    3. Adriana Castelli & Andrew Street & Rossella Verzulli & Padraic Ward, 2015. "Examining variations in hospital productivity in the English NHS," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(3), pages 243-254, April.
    4. Andrew Johnson & John Ruggiero, 2014. "Nonparametric measurement of productivity and efficiency in education," Annals of Operations Research, Springer, vol. 221(1), pages 197-210, October.
    5. Paul Rouse & Julie Harrison & Li Chen, 2010. "Data Envelopment Analysis: A Practical Tool to Measure Performance," Australian Accounting Review, CPA Australia, vol. 20(2), pages 165-177, June.
    6. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
    7. Adil Baykasoğlu & İlker Gölcük & Derya Eren Akyol, 2017. "A fuzzy multiple-attribute decision making model to evaluate new product pricing strategies," Annals of Operations Research, Springer, vol. 251(1), pages 205-242, April.
    8. Apostolos Christopoulos & Ioannis Dokas & Sofia Katsimardou & Eleftherios Spyromitros, 2022. "The Malmquist Productivity measure for UK-listed firms in the aftermath of the global financial crisis," Operational Research, Springer, vol. 22(2), pages 1617-1634, April.
    9. Kankana Mukherjee & Rexford Santerre & Ning Jackie Zhang, 2010. "Explaining the efficiency of local health departments in the U.S.: an exploratory analysis," Health Care Management Science, Springer, vol. 13(4), pages 378-387, December.
    10. Fainman, Emily Zhu & Kucukyazici, Beste, 2020. "Design of financial incentives and payment schemes in healthcare systems: A review," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    11. Ernst, Chris & Rouse, Paul, 2016. "Complexity, Tertiariness and Healthcare: Unresolved Issues of Reimbursement and Incentives," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 70(3), pages 227-247.

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