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Performance Evaluation of Indian states healthcare systems in the management of COVID -19 recovery rate using DEA
European Journal of Molecular and Clinical Medicine ; 9(8):3315-3324, 2022.
Article in English | EMBASE | ID: covidwho-2170018
ABSTRACT

Purpose:

This study aims to evaluate the efficiency of the Indian state's health care systems in increasing the recovery rate of the Corona virus by using data envelopment analysis.

Methodology:

The Data envelopment analysis (Output Oriented CRS Model) has been applied to evaluate the efficiency scores of Indian states concerning the recovery rate of people affected by COVID -19. The tobit regression model is used to find the efficiency drivers. The required corona data has been collected during the period of time Feb 2019 - May 2020 from the government official websites like Worldometer, MoHFW, Corona Tracker etc,. Finding(s) The efficient states were found along with the factor that increases the state's efficiency in increasing the recovery rate. The study reveals that out of 36 State/UT, only 5 State/UT were efficient in increasing the recovery rate. In addition the study found that there is an input slack in the number of hospitals for inefficient states/UTs. Copyright © 2022 Authors. All rights reserved.
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Collection: Databases of international organizations Database: EMBASE Type of study: Experimental Studies Language: English Journal: European Journal of Molecular and Clinical Medicine Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: EMBASE Type of study: Experimental Studies Language: English Journal: European Journal of Molecular and Clinical Medicine Year: 2022 Document Type: Article