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Multi-period state healthcare efficiency for heterogeneous parallel hospital units

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  • See, Kok Fong
  • Md Hamzah, Nurhafiza
  • Yu, Ming-Miin

Abstract

Healthcare delivery in public hospitals is operated and managed individually, while performance monitoring, budget and human resource allocation are administered through the Ministry of Health state offices, reflecting the dependency between the two decision units. The geographical distribution of hospitals varies within the states of Malaysia, which requires an efficiency measurement that assesses the relationship between both the state- and hospital-level efficiencies simultaneously. The main objective of this study was to assess the performance of hospital of each decision unit at the state level. The study uses an extended multi-period parallel data envelopment analysis model to assess the multi-period performance of hospital systems, with the characteristics of heterogeneous structure, operating under the Ministry of Health state-level offices. The results showed that the efficiency score for all states ranged between 0.45 and 0.56, while the period-state weights for all states ranged between 0.30 and 0.33. The study utilizes our proposed method of aggregating the period state and hospital data for an overall state efficiency score, providing a more objective measurement compared to the arithmetic mean of efficiency scores. Such results could also be used to justify the mobilization of resources from a performing state to a less performing state. Furthermore, information on endogenous weight could assist policymakers in prioritizing strategic plans to enhance the overall performance of health services at both the hospital and state levels.

Suggested Citation

  • See, Kok Fong & Md Hamzah, Nurhafiza & Yu, Ming-Miin, 2024. "Multi-period state healthcare efficiency for heterogeneous parallel hospital units," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
  • Handle: RePEc:eee:soceps:v:92:y:2024:i:c:s0038012123003026
    DOI: 10.1016/j.seps.2023.101790
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    1. Beata Gavurova & Kristina Kocisova & Jakub Sopko, 2021. "Health system efficiency in OECD countries: dynamic network DEA approach," Health Economics Review, Springer, vol. 11(1), pages 1-25, December.
    2. Kristína Kočišová & Jakub Sopko, 2020. "The Efficiency of Public Health and Medical Care Systems in EU Countries: Dynamic Network Data Envelopment Analysis," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(2), pages 383-394.
    3. Peipei Chai & Quan Wan & Yohannes Kinfu, 2021. "Efficiency and productivity of health systems in prevention and control of non-communicable diseases in China, 2008–2015," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(2), pages 267-279, March.
    4. Khushalani, Jaya & Ozcan, Yasar A., 2017. "Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA)," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 15-23.
    5. Yasar A. Ozcan & Jaya Khushalani, 2017. "Assessing efficiency of public health and medical care provision in OECD countries after a decade of reform," 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. 25(2), pages 325-343, June.
    6. Bo Hsiao & Li-Hsueh Chen, 2019. "Performance Evaluation for Taiwanese Hospitals by Multi-Activity Network Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1009-1043, May.
    7. 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.
    8. Anatoly Pilyavsky & Matthias Staat, 2008. "Efficiency and productivity change in Ukrainian health care," Journal of Productivity Analysis, Springer, vol. 29(2), pages 143-154, April.
    9. Chowdhury, Hedayet & Zelenyuk, Valentin, 2016. "Performance of hospital services in Ontario: DEA with truncated regression approach," Omega, Elsevier, vol. 63(C), pages 111-122.
    10. Panagiotis Mitropoulos, 2021. "Production and quality performance of healthcare services in EU countries during the economic crisis," Operational Research, Springer, vol. 21(2), pages 857-873, June.
    11. Zhongmin Liu & Jia Lyu, 2020. "Measuring the innovation efficiency of the Chinese pharmaceutical industry based on a dynamic network DEA model," Applied Economics Letters, Taylor & Francis Journals, vol. 27(1), pages 35-40, January.
    12. Kao, Chiang & Pang, Rui-Zhi & Liu, Shiang-Tai & Bai, Xue-Jie, 2021. "Optimal expansion paths for hospitals of different types: Viewpoint of scope economies and evidence from Chinese hospitals," European Journal of Operational Research, Elsevier, vol. 289(2), pages 628-638.
    13. Hiroyuki Kawaguchi & Kaoru Tone & Miki Tsutsui, 2014. "Estimation of the efficiency of Japanese hospitals using a dynamic and network data envelopment analysis model," Health Care Management Science, Springer, vol. 17(2), pages 101-112, June.
    14. Robert John Kolesar & Peter Bogetoft & Vanara Chea & Guido Erreygers & Sambo Pheakdey, 2022. "Advancing universal health coverage in the COVID-19 era: an assessment of public health services technical efficiency and applied cost allocation in Cambodia," Health Economics Review, Springer, vol. 12(1), pages 1-20, December.
    15. Grosskopf, S. & Valdmanis, V., 1987. "Measuring hospital performance : A non-parametric approach," Journal of Health Economics, Elsevier, vol. 6(2), pages 89-107, June.
    16. Rajiv D. Banker & Richard C. Morey, 1986. "Efficiency Analysis for Exogenously Fixed Inputs and Outputs," Operations Research, INFORMS, vol. 34(4), pages 513-521, August.
    17. Chowdhury, Hedayet & Zelenyuk, Valentin & Laporte, Audrey & Wodchis, Walter P., 2014. "Analysis of productivity, efficiency and technological changes in hospital services in Ontario: How does case-mix matter?," International Journal of Production Economics, Elsevier, vol. 150(C), pages 74-82.
    18. Ho, Foo Nin & Huang, Chin-wei, 2020. "The interdependencies of marketing capabilities and operations efficiency in hospitals," Journal of Business Research, Elsevier, vol. 113(C), pages 337-347.
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