A Systematic Review Of Health Efficiency Measurement In Indian Hospitals Using Data Envelopment Analysis In Comparison With Global Settings

Abstract

Aim & Objectives: The determination of this project is to produce a comprehensive prose review of works in health care on data envelopment analysis (DEA). The aim of this revision was to look at many revisions on healthcare efficacy that were conducted in India and to compare it with global studies. The study also portray where India lies when compared with World health expenditure index. The input and output variables, as well as which decision-making unit (DMU) was employed most frequently in these studies, were also determined.

Method: One of the utmost and often utilized efficiency measuring procedures in health care is the data envelopment analysis (DEA). Selecting input and output variables is precarious for analyzing the efficacy of decision-making components in DEA. This assortment is subjective since it varies from investigator to investigator. From 1991 to 2021, researchers looked at papers on the usage of DEA in health care.

Results & Conclusions: It is obvious that India's governmental healthcare systems are inefficient, while private enterprises are enlightening the efficiency of the industry. In the entire research, hospitals were utilized as decision-making units. In the bulk of the research, a range of physicians, nurses, bed and paramedical staff were employed. A large amount of IPD, OPD, and surgeries were the most common output variables. Moreover India lies far behind the global marking in case of healthcare expenditure.