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An Audit of Indian Health Insurance Claims for Mental Illness from Pooled Insurance Information Bureau's Macroindicator Data

INTRODUCTION: Information on the social and voluntary insurance coverage of mental illness in India is scarce. We attempted to address this lacuna, utilizing a secondary macrodata approach for 3 years. Mental illness per se is not covered by most of existing Indian health insurance policies. MATERIA...

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Autores principales: Mohandoss, Anusa Arunachalam, Thavarajah, Rooban
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5461833/
https://www.ncbi.nlm.nih.gov/pubmed/28615757
http://dx.doi.org/10.4103/0253-7176.207340
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author Mohandoss, Anusa Arunachalam
Thavarajah, Rooban
author_facet Mohandoss, Anusa Arunachalam
Thavarajah, Rooban
author_sort Mohandoss, Anusa Arunachalam
collection PubMed
description INTRODUCTION: Information on the social and voluntary insurance coverage of mental illness in India is scarce. We attempted to address this lacuna, utilizing a secondary macrodata approach for 3 years. Mental illness per se is not covered by most of existing Indian health insurance policies. MATERIALS AND METHODS: Publicly available de-identified claim macrodata for all health (nonlife) insurance for Indian financial year from 2011–2012 to 2013–2014 were collected. The age group, gender, amount of claims, proportion of claims, and details of number of days of hospitalization were collected and analyzed. Descriptive statistics, Chi-square test, and Wilcoxon tests were used appropriately. P ≤ 0.05 was considered statistically significant. RESULTS: In 2011–2012, there were 2864 claims from the registered 2,591,781 members citing mental illness (0.11%) which decreased to 0.03% in 2012–2013 and marginally rose to 0.07% of all claims. The total amount of claims paid for mental illness was Rs. 51.7 millions in 2011–2012, Rs. 97.2 million in 2012–2013, and Rs. 150 million in 2013–2014. Statistically significant difference emerged in terms of age group, gender, amount and proportion of claim, and number of days of hospitalization. CONCLUSION: The penetration of health insurance is low and claim for mental illness remains low. The difference in patterns of age, gender, amount of claims, and number of days for mental illness provides detailed relevant information to formulate future policies.
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spelling pubmed-54618332017-06-14 An Audit of Indian Health Insurance Claims for Mental Illness from Pooled Insurance Information Bureau's Macroindicator Data Mohandoss, Anusa Arunachalam Thavarajah, Rooban Indian J Psychol Med Original Article INTRODUCTION: Information on the social and voluntary insurance coverage of mental illness in India is scarce. We attempted to address this lacuna, utilizing a secondary macrodata approach for 3 years. Mental illness per se is not covered by most of existing Indian health insurance policies. MATERIALS AND METHODS: Publicly available de-identified claim macrodata for all health (nonlife) insurance for Indian financial year from 2011–2012 to 2013–2014 were collected. The age group, gender, amount of claims, proportion of claims, and details of number of days of hospitalization were collected and analyzed. Descriptive statistics, Chi-square test, and Wilcoxon tests were used appropriately. P ≤ 0.05 was considered statistically significant. RESULTS: In 2011–2012, there were 2864 claims from the registered 2,591,781 members citing mental illness (0.11%) which decreased to 0.03% in 2012–2013 and marginally rose to 0.07% of all claims. The total amount of claims paid for mental illness was Rs. 51.7 millions in 2011–2012, Rs. 97.2 million in 2012–2013, and Rs. 150 million in 2013–2014. Statistically significant difference emerged in terms of age group, gender, amount and proportion of claim, and number of days of hospitalization. CONCLUSION: The penetration of health insurance is low and claim for mental illness remains low. The difference in patterns of age, gender, amount of claims, and number of days for mental illness provides detailed relevant information to formulate future policies. Medknow Publications & Media Pvt Ltd 2017 /pmc/articles/PMC5461833/ /pubmed/28615757 http://dx.doi.org/10.4103/0253-7176.207340 Text en Copyright: © 2017 Indian Psychiatric Society http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Mohandoss, Anusa Arunachalam
Thavarajah, Rooban
An Audit of Indian Health Insurance Claims for Mental Illness from Pooled Insurance Information Bureau's Macroindicator Data
title An Audit of Indian Health Insurance Claims for Mental Illness from Pooled Insurance Information Bureau's Macroindicator Data
title_full An Audit of Indian Health Insurance Claims for Mental Illness from Pooled Insurance Information Bureau's Macroindicator Data
title_fullStr An Audit of Indian Health Insurance Claims for Mental Illness from Pooled Insurance Information Bureau's Macroindicator Data
title_full_unstemmed An Audit of Indian Health Insurance Claims for Mental Illness from Pooled Insurance Information Bureau's Macroindicator Data
title_short An Audit of Indian Health Insurance Claims for Mental Illness from Pooled Insurance Information Bureau's Macroindicator Data
title_sort audit of indian health insurance claims for mental illness from pooled insurance information bureau's macroindicator data
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5461833/
https://www.ncbi.nlm.nih.gov/pubmed/28615757
http://dx.doi.org/10.4103/0253-7176.207340
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