Technical and scale efficiency of district hospitals in Perak using data envelopment analysis

In the recent years, the developed and developing countries has been debate’s about increasing healthcare costs. The Ministry of Health in Malaysia has been implementing various health care sector reforms such as expansion and upgrading of public health facilities in a bid to improve efficiency in h...

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Bibliographic Details
Main Author: Norzahirah, Mat
Format: Thesis
Language:eng
eng
Published: 2013
Subjects:
Online Access:https://etd.uum.edu.my/5193/1/s811081.pdf
https://etd.uum.edu.my/5193/2/s811081_abstract.pdf
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Summary:In the recent years, the developed and developing countries has been debate’s about increasing healthcare costs. The Ministry of Health in Malaysia has been implementing various health care sector reforms such as expansion and upgrading of public health facilities in a bid to improve efficiency in health care. In monitoring performance, efficiency study is vital for health care institutions. The purpose of the study is to investigate how well resources have been allocate in producing outputs, thus to measure technical and scale efficiencies of public hospitals in Perak, Malaysia. Data were obtained from ten publics hospital in Perak, as the Decision-Making Units (DMUs), for the year 2008 to 2010. The data were pooled which consist of 30 DMUs altogether with the technique of Data Envelopment Analysis (DEA). The number of doctors, nurses and beds represents the inputs, while the number of outpatients, inpatients, surgeries and delivery represents the outputs. There are three hospitals in year 2009 and 2010 with increasing return to scale (IRS). While in 2008, only two hospitals were faces IRS. Then, for decreasing return to scale (DRS), three hospitals were identified as DRS in year 2009, and one hospital in 2008 and 2010. The findings motivate an examination of the policy implications of these comparative analysis of efficiency in the production of health care. Finally, the hospitals that are more economical in the allocation of resources to health care should be a benchmarking to inefficienct hospitals