ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
Does the Distribution of Empanelled Hospitals have an Impact on the Utilization of Services under State Insurance Scheme?
Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed, 1 citations in OpenAlex.
- A Geospatial Study of Pradhan Mantri Jan Arogya Yojana (PM-JAY) Empaneled Healthcare Facilities across South Indian States.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026Article
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2 authors at 1 institution in 1 country.
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Abstract
contextTamil Nadu's Chief Minister's Comprehensive Health Insurance Scheme (CMCHIS) aims at reducing inequity by making the health service affordable and available by roping in both the public and private providers.
aimsThis study aims to find if there exist any inter-district disparity in the distribution of hospitals empaneled and utilization of services under the CMCHIS scheme. SETTINGS AND
designA secondary data analysis was done using the CMCHIS data on hospitals empanelled and number of claims made in the scheme for the year 2018. SUBJECTS AND
methodsThe districts were classified into high-developed district (HDD), middle-developed district (MDD), and low-developed district (LDD) based on the Human Development Index. Availability of hospital services was calculated as the number of empanelled hospitals/100,000 families enrolled. Utilization was calculated as the number of claims made by people living in the district per one lakh families enrolled and number of claims made by hospitals under CMCHIS/100,000 enrolled. STATISTICAL ANALYSIS USED: The relationship between enrolment ratio, hospital availability, number of claims made, and Human Development Index across districts was examined using the Pearson's Correlation analysis.
resultsEnrolment was highest in the LDDs (22.8%), followed by MDDs (21.9%) and HDDs (18.7%). The number of hospitals per 100,000 families enrolled was the highest in HDDs (8.0) and lowest in LDDs (4.6). The utilization was the highest in HDD followed by MDD and lowest in LDD.
conclusionsThe disparity in the hospitals availability and utilization between districts should be addressed by adopting a targeting approach giving priorities to empanelling hospitals in the less-developed districts.
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