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Efficiency and management factors: finding the balance in Thalassaemia care centres

Author

Listed:
  • Asrul Akmal Shafie

    (Universiti Sains Malaysia)

  • Noor Syahireen Mohammed

    (Universiti Sains Malaysia
    Hospital Sultanah Bahiyah)

  • Kok Fong See

    (Universiti Sains Malaysia
    University of Massachusetts at Lowell)

  • Hishamshah Mohd Ibrahim

    (Ministry of Health Malaysia)

  • Jacqueline Hui Yi Wong

    (Universiti Sains Malaysia
    Hospital Kuala Lumpur)

  • Irwinder Kaur Chhabra

    (Universiti Sains Malaysia)

Abstract

Background Optimizing efficiency has become increasingly critical with the growing demand for finite healthcare resources driven by population growth and an ageing society. Hence, policymakers are urgently finding more efficient ways to deliver health services. Thalassemia is a complex inherited blood disorder with significant prevalence in Malaysia. The high number of patients put substantial strain on the healthcare system. This study aims to evaluate the technical efficiency of thalassaemia care centres throughout Malaysia and the determinants that affect the efficiency. Method Data from 30 public hospitals with thalassaemia care centres were collected. A double bootstrap data envelopment analysis (DEA) approach is used with the assumption of input-oriented and variable-to-scale DEA models to generate technical efficiency scores. Bootstrap truncated regression was later conducted to identify the factors affecting the efficiency scores. Results The mean bias-corrected technical efficiency score has improved to 0.75 in 2017 from 0.71 in 2016. In both years, more than 50% of thalassaemia care centres showed good efficiency scores (0.8-1.0). Management factors that affect the efficiency scores include separation of patient management (β = 0.0653) and budget (β = 0.0843), where they are found to positively affect the efficiency scores. In contrast, having longer operating hours is found to inversely influence the performance levels (β = − 0.4023). Conclusions The study provides a pioneering framework to evaluate the technical efficiency of thalassaemia treatment centres in public healthcare settings and could provide a useful guide for policymaker and thalassaemia care centre managers to improve efficiency in service delivery to thalassaemia patients and their caregivers without compromising quality of care.

Suggested Citation

  • Asrul Akmal Shafie & Noor Syahireen Mohammed & Kok Fong See & Hishamshah Mohd Ibrahim & Jacqueline Hui Yi Wong & Irwinder Kaur Chhabra, 2022. "Efficiency and management factors: finding the balance in Thalassaemia care centres," Health Economics Review, Springer, vol. 12(1), pages 1-13, December.
    • Handle: RePEc:spr:hecrev:v:12:y:2022:i:1:d:10.1186_s13561-021-00351-x
    DOI: 10.1186/s13561-021-00351-x
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    References listed on IDEAS

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    1. Aletras, Vassilios & Kontodimopoulos, Nick & Zagouldoudis, Athanasios & Niakas, Dimitris, 2007. "The short-term effect on technical and scale efficiency of establishing regional health systems and general management in Greek NHS hospitals," Health Policy, Elsevier, vol. 83(2-3), pages 236-245, October.
    2. Lee, Kwang-soo & Chun, Ki-hong & Lee, Jung-soo, 2008. "Reforming the hospital service structure to improve efficiency: Urban hospital specialization," Health Policy, Elsevier, vol. 87(1), pages 41-49, July.
    3. Yasar A. Ozcan, 2008. "Health Care Benchmarking and Performance Evaluation," International Series in Operations Research and Management Science, Springer, number 978-0-387-75448-2, September.
    4. Edward F. Denison, 1961. "Measurement of Labor Input: Some Questions of Definition and the Adequacy of Data," NBER Chapters, in: Output, Input, and Productivity Measurement, pages 347-386, National Bureau of Economic Research, Inc.
    5. Marina Cavalieri & Calogero Guccio & Domenico Lisi & Giacomo Pignataro, 2018. "Does the Extent of per Case Payment System Affect Hospital Efficiency?," Public Finance Review, , vol. 46(1), pages 117-149, January.
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    Cited by:

    1. 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).

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