ArticleHealth economics review2025
Three decades in healthcare service efficiency evaluation: a bootstrapping Data Envelopment Analysis (DEA) of Ministry of Health Malaysia.
Article in Health economics review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Beyond Efficiency Scores: Explaining Health System Performance Using Two-Stage Bootstrap DEA and Machine Learning.Healthcare (Basel, Switzerland) · 2026Article
- How to improve the construction efficiency of key medical disciplines: a three-stage DEA.Cost effectiveness and resource allocation : C/E · 2025Article
- Vitamin D Status in Children: Romania's National Vitamin D Screening Programme in Context of the COVID-19 Pandemic.Medical sciences (Basel, Switzerland) · 2025Observational
- Efficiency and equity of resource allocation in healthcare services using DEA and concentration indices: evidence from the traditional medicine hospital in Gansu Province, China.Frontiers in public health · 2025Article
- Dynamic Linkages Between Digital Health and Healthcare Value Chains: Evidence From a 3-Stage Network DEA Model.Inquiry : a journal of medical care organization, provision and financingArticle
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Authors and funding
11 authors.
Funding
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Abstract
backgroundOne of the most important ways to boost the health system's performance and lower the rising cost of healthcare is to increase its efficiency. The objective of this study is to evaluate the efficiency of the MOH in providing public health services and to gauge the progress of health plans in Malaysia.
methodsThree output variables (number of admissions, number of outpatient attendances, and number of maternal and child health attendances) and six input variables (budget allocation, number of doctors, dentists, pharmacists, nurses, and community nurses) were used in a Data Envelopment Analysis (DEA) Window Analysis. Eight input-output models' bias-corrected efficiency scores were obtained using bootstrapping.
settingMinistry level in public health service. PARTICIPANT: 28 Decision making units (DMUs) from 1995 to 2022.
resultsRobust performance over the study period was shown by the mean bias-corrected efficiency score of 0.974 (95% CI: 0.907-0.989) under the Variable Returns to Scale (VRS) model. Lower Constant Returns to Scale (CRS) model scores, on the other hand, draw attention to scale-level inefficiencies. During the COVID-19 pandemic, efficiency decreased due to higher input demands and limited outputs.
conclusionsAlthough MOH has attained a high level of technological efficiency, expanding operations and resolving inequalities in rural areas remain difficult. Targeted tactics including telemedicine adoption, resource redistribution, and a move towards preventive treatment are advised in order to improve fairness and resilience.
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