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Assessing the efficiency of Malaysia health system in COVID-19 prevention and treatment response

Author

Listed:
  • Nurhafiza Md Hamzah

    (Planning Division, Ministry of Health Malaysia)

  • Ming-Miin Yu

    (National Taiwan Ocean University)

  • Kok Fong See

    (Universiti Sains Malaysia
    University of Massachusetts at Lowell)

Abstract

Malaysia was faced with a life-threatening crisis in combating COVID-19 with a number of positive cases reaching 5305 and 88 deaths by 18th April 2020 (the first detected case was on 25th January 2020). The government rapidly initiated a public health response and provided adequate medical care to manage the public health crisis during the implementation of movement restrictions, starting 18th March 2020, throughout the country. The objective of this study was to investigate the relative efficiency level of managing COVID-19 in Malaysia using network data envelopment analysis. Malaysia state-level data were extracted from secondary data sources which include variables such as total number of confirmed cases, death cases and recovered cases. These variables were used as inputs and outputs in a network process that consists of 3 sub processes i) community surveillance, ii) medical care I and iii) medical care II. A state-level analysis was performed according to low, medium and high population density categories. The efficiency level of community surveillance was highest compared to medical care processes, indicating that the overall inefficiency is greatly influenced by the inefficiency of the medical care processes rather than the community surveillance process. Results showed that high-density category performed well in both community surveillance and medical care II processes. Meanwhile, low-density category performed better in medical care I process. There was a good overall performance of the health system in Malaysia reflecting a strong preparedness and response level to this pandemic. Furthermore, resource allocation for rapid response was distributed effectively during this challenging period.

Suggested Citation

  • Nurhafiza Md Hamzah & Ming-Miin Yu & Kok Fong See, 2021. "Assessing the efficiency of Malaysia health system in COVID-19 prevention and treatment response," Health Care Management Science, Springer, vol. 24(2), pages 273-285, June.
    • Handle: RePEc:kap:hcarem:v:24:y:2021:i:2:d:10.1007_s10729-020-09539-9
    DOI: 10.1007/s10729-020-09539-9
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    as
    1. Giménez, Víctor & Prieto, William & Prior, Diego & Tortosa-Ausina, Emili, 2019. "Evaluation of efficiency in Colombian hospitals: An analysis for the post-reform period," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 20-35.
    2. Chen, Yao & Du, Juan & David Sherman, H. & Zhu, Joe, 2010. "DEA model with shared resources and efficiency decomposition," European Journal of Operational Research, Elsevier, vol. 207(1), pages 339-349, November.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Kuan-Chen Chen & Hong-Ming Chen & Li-Nien Chien & Ming-Miin Yu, 2019. "Productivity growth and quality changes of hospitals in Taiwan: does ownership matter?," Health Care Management Science, Springer, vol. 22(3), pages 451-461, September.
    5. Kao, Chiang & Hwang, Shiuh-Nan, 2008. "Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan," European Journal of Operational Research, Elsevier, vol. 185(1), pages 418-429, February.
    6. Li, Ruiqi & Richmond, Peter & Roehner, Bertrand M., 2018. "Effect of population density on epidemics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 713-724.
    7. Nurhafiza Md Hamzah & Kok Fong See, 2019. "Technical efficiency and its influencing factors in Malaysian hospital pharmacy services," Health Care Management Science, Springer, vol. 22(3), pages 462-474, September.
    8. Li, Sung Ko & He, Xinju, 2019. "The impacts of marketization and subsidies on the treatment quality performance of the Chinese hospitals sector," China Economic Review, Elsevier, vol. 54(C), pages 41-50.
    9. Wade Cook & Moez Hababou & Hans Tuenter, 2000. "Multicomponent Efficiency Measurement and Shared Inputs in Data Envelopment Analysis: An Application to Sales and Service Performance in Bank Branches," Journal of Productivity Analysis, Springer, vol. 14(3), pages 209-224, November.
    10. Camilla Mastromarco & Lenka Stastna & Jana Votapkova, 2019. "Efficiency of hospitals in the Czech Republic: Conditional efficiency approach," Journal of Productivity Analysis, Springer, vol. 51(1), pages 73-89, February.
    11. Víctor Giménez & Jorge R. Keith & Diego Prior, 2019. "Do healthcare financing systems influence hospital efficiency? A metafrontier approach for the case of Mexico," Health Care Management Science, Springer, vol. 22(3), pages 549-559, September.
    12. Zhiyang Shen & Vivian Valdmanis, 2020. "Identifying the contribution to hospital performance among Chinese regions by an aggregate directional distance function," Health Care Management Science, Springer, vol. 23(1), pages 142-152, March.
    13. Rajiv D. Banker & Richard C. Morey, 1986. "The Use of Categorical Variables in Data Envelopment Analysis," Management Science, INFORMS, vol. 32(12), pages 1613-1627, December.
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    Cited by:

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    2. Pourmahmoud, Jafar & Bagheri, Narges, 2023. "Uncertain Malmquist productivity index: An application to evaluate healthcare systems during COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    3. Mehdi Shamohammadi & Yonghwa Park & Jong Hae Choi & Oh Kyoung Kwon, 2022. "Exploring the Performance of International Airports in the Pre- and Post-COVID-19 Era: Evidence from Incheon International Airport," Sustainability, MDPI, vol. 14(7), pages 1-22, April.
    4. Alec Morton & Ebru Bish & Itamar Megiddo & Weifen Zhuang & Roberto Aringhieri & Sally Brailsford & Sarang Deo & Na Geng & Julie Higle & David Hutton & Mart Janssen & Edward H Kaplan & Jianbin Li & Món, 2021. "Introduction to the special issue: Management Science in the Fight Against Covid-19," Health Care Management Science, Springer, vol. 24(2), pages 251-252, June.
    5. Chen, Kuan-Chen & Lin, Sun-Yuan & Yu, Ming-Miin, 2022. "Exploring the efficiency of hospital and pharmacy utilizations in Taiwan: An application of dynamic network data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    6. Shahari, Mohd Ridzwan & See, Kok Fong & Mohammed, Noor Syahireen & Yu, Ming-Miin, 2023. "Constructing the performance index of Malaysia’s district health centers using effectiveness-based hierarchical data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    7. Paulo Caldas & Miguel Varela, 2023. "The Portuguese Public Hospitals Performance Evolution before and during the SARS-CoV-2 Pandemic (2017–2022)," Sustainability, MDPI, vol. 15(15), pages 1-31, July.
    8. Gökçe Manavgat & Martine Audibert, 2024. "Healthcare system efficiency and drivers: Re-evaluation of OECD countries for COVID-19," Post-Print hal-04350906, HAL.

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