Public healthcare efficiency in India: Estimates and determinants using two stage DEA approach

IF 1.5 4区 社会学 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Khursheed Hussain Dar , Shahid Hamid Raina
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引用次数: 0

Abstract

Background

Nearly 400 million Indians (30 % of the total population) lack any financial protection for health which leads to very high out of pocket expenditure. In India more than 90 million people spend 10–25 % of household expenses on healthcare. This is a serious threat to Sustainable Development Goal 3, which aims at providing universal health coverage along with protection from catastrophic spending on health.

Aim

The aim of this paper is to estimate the efficiency and determinants of public health in India at subnational level.

Methods

To estimate the efficiency of public healthcare, input oriented bias corrected DEA model has been used. In this model life expectancy at birth and infant survival rate have been treated as outputs. Public health spending and per capita income are treated as inputs. In the second stage Tobit regression is used to analyse the determinants of efficiency.

Results

The mean bias corrected efficiency score across Indian states is 0.60, implying that on average there is a 40 % inefficiency in public healthcare in India. Maharashtra and Mizoram are the most and least efficient states with efficiency score of 0.921 and 0.218, respectively. Fourteen states have efficiency scores less than 0.60, two states have efficiency score of 0.60 and 15 states have the efficiency score greater than 0.60. Socio economic factors outweigh the medical factors in determining the public healthcare efficiency in India.

Conclusion

There are 40 % inefficiencies in public health in India implying significant wastages in public health. By improving public health efficiency, there would be savings of 48 % in terms of government expenditure on health per capita. It will also improve infant survival rate by 27.19 % and life expectancy by 20.65 %.

印度的公共医疗效率:使用两阶段 DEA 方法估算和决定因素
背景近 4 亿印度人(占总人口的 30%)缺乏任何医疗财务保障,这导致了极高的自费支出。在印度,9000 多万人的医疗支出占家庭支出的 10-25%。本文旨在估算印度国家以下各级公共卫生的效率和决定因素。为了估算公共医疗的效率,本文使用了投入导向的偏差修正 DEA 模型。在该模型中,出生时预期寿命和婴儿存活率被视为产出。公共卫生支出和人均收入被视为投入。结果印度各邦的平均偏差校正效率得分为 0.60,这意味着印度的公共医疗效率平均低下 40%。马哈拉施特拉邦和米佐拉姆邦是效率最高和最低的邦,效率得分分别为 0.921 和 0.218。14 个邦的效率得分低于 0.60,2 个邦的效率得分达到 0.60,15 个邦的效率得分高于 0.60。在决定印度公共医疗效率方面,社会经济因素大于医疗因素。通过提高公共医疗效率,政府将节省 48% 的人均医疗开支。这还将使婴儿存活率提高 27.19%,预期寿命提高 20.65%。
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来源期刊
Evaluation and Program Planning
Evaluation and Program Planning SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.10
自引率
6.20%
发文量
112
期刊介绍: Evaluation and Program Planning is based on the principle that the techniques and methods of evaluation and planning transcend the boundaries of specific fields and that relevant contributions to these areas come from people representing many different positions, intellectual traditions, and interests. In order to further the development of evaluation and planning, we publish articles from the private and public sectors in a wide range of areas: organizational development and behavior, training, planning, human resource development, health and mental, social services, mental retardation, corrections, substance abuse, and education.
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