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Does the Distribution of Empanelled Hospitals have an Impact on the Utilization of Services under State Insurance Scheme?

CONTEXT: Tamil 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. AIMS: This study aims to find if there exist any inter-district disparit...

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Autores principales: Subramaniam, Sudharshini, Selvavinayagam, T.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877439/
https://www.ncbi.nlm.nih.gov/pubmed/33623203
http://dx.doi.org/10.4103/ijcm.IJCM_502_19
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author Subramaniam, Sudharshini
Selvavinayagam, T.S.
author_facet Subramaniam, Sudharshini
Selvavinayagam, T.S.
author_sort Subramaniam, Sudharshini
collection PubMed
description CONTEXT: Tamil 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. AIMS: This 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 DESIGN: A 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 METHODS: The 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. RESULTS: Enrolment 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. CONCLUSIONS: The 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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spelling pubmed-78774392021-02-22 Does the Distribution of Empanelled Hospitals have an Impact on the Utilization of Services under State Insurance Scheme? Subramaniam, Sudharshini Selvavinayagam, T.S. Indian J Community Med Original Article CONTEXT: Tamil 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. AIMS: This 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 DESIGN: A 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 METHODS: The 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. RESULTS: Enrolment 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. CONCLUSIONS: The 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. Wolters Kluwer - Medknow 2020 2020-10-28 /pmc/articles/PMC7877439/ /pubmed/33623203 http://dx.doi.org/10.4103/ijcm.IJCM_502_19 Text en Copyright: © 2020 Indian Journal of Community Medicine http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Subramaniam, Sudharshini
Selvavinayagam, T.S.
Does the Distribution of Empanelled Hospitals have an Impact on the Utilization of Services under State Insurance Scheme?
title Does the Distribution of Empanelled Hospitals have an Impact on the Utilization of Services under State Insurance Scheme?
title_full Does the Distribution of Empanelled Hospitals have an Impact on the Utilization of Services under State Insurance Scheme?
title_fullStr Does the Distribution of Empanelled Hospitals have an Impact on the Utilization of Services under State Insurance Scheme?
title_full_unstemmed Does the Distribution of Empanelled Hospitals have an Impact on the Utilization of Services under State Insurance Scheme?
title_short Does the Distribution of Empanelled Hospitals have an Impact on the Utilization of Services under State Insurance Scheme?
title_sort does the distribution of empanelled hospitals have an impact on the utilization of services under state insurance scheme?
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877439/
https://www.ncbi.nlm.nih.gov/pubmed/33623203
http://dx.doi.org/10.4103/ijcm.IJCM_502_19
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