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运用修正数据包络分析法分析黎巴嫩医疗体系的效率。

Efficiency Analysis of Healthcare System in Lebanon Using Modified Data Envelopment Analysis.

机构信息

Department of Industrial Engineering, Eastern Mediterranean University, North Cyprus, via Mersin 10, Turkey.

出版信息

J Healthc Eng. 2018 Jul 2;2018:2060138. doi: 10.1155/2018/2060138. eCollection 2018.

Abstract

The inflow of refugees from Syria into Lebanon necessitates a robust and efficient healthcare system in Lebanon to withstand the growing demand for healthcare service. For this purpose, we evaluate the efficiency of healthcare system in Lebanon from 2000 through 2015 by applying a modified data envelopment analysis (DEA) model. We have selected four output variables: life expectancy at birth, maternal mortality ratio, infant mortality rate, and newly infected with HIV and two input variables: total health expenditure (% of GDP) and number of hospital beds. The findings of the paper show improvement in the efficiency of the healthcare system in Lebanon after the widespread of the health system reform in 2005. It also shows that reduction in health expenditure does not necessarily reduce efficiency if operational and technical aspect of the healthcare system is improved. The study infers that the healthcare system in Lebanon is capable of withstanding the increase in health demand provided further resources are made available and the existing technical and operational improvement are maintained.

摘要

由于叙利亚难民大量涌入黎巴嫩,黎巴嫩需要一个强大且高效的医疗体系来应对不断增长的医疗服务需求。为此,我们通过应用改进后的数据包络分析(DEA)模型来评估黎巴嫩 2000 年至 2015 年期间的医疗体系效率。我们选择了四个产出变量:出生时预期寿命、孕产妇死亡率、婴儿死亡率以及新感染艾滋病毒的人数,以及两个投入变量:总卫生支出(占 GDP 的百分比)和医院床位数量。研究结果表明,2005 年医疗体系改革后,黎巴嫩医疗体系的效率有所提高。研究还表明,如果改善医疗体系的运营和技术方面,减少卫生支出不一定会降低效率。本研究推断,只要提供更多资源并保持现有的技术和运营改进,黎巴嫩的医疗体系有能力应对不断增长的医疗需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b2c/6051084/e36575acea63/JHE2018-2060138.001.jpg

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