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基于综合保险信息局宏观指标数据对印度精神疾病医疗保险理赔情况的审计。

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

作者信息

Mohandoss Anusa Arunachalam, Thavarajah Rooban

机构信息

Department of Psychiatry, Shri Sathya Sai Medical College and Research Institute, Kanchipuram, Tamil Nadu, India.

Director and Senior Consultant, Marundeeshwara Oral Pathology Services and Analytics, Chennai, Tamil Nadu, India.

出版信息

Indian J Psychol Med. 2017 May-Jun;39(3):254-261. doi: 10.4103/0253-7176.207340.

Abstract

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 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. ≤ 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.

摘要

引言

印度精神疾病的社会和自愿保险覆盖信息匮乏。我们尝试利用三年的二手宏观数据方法来填补这一空白。大多数现有的印度健康保险政策都不涵盖精神疾病。

材料与方法

收集了2011 - 2012年至2013 - 2014年印度财政年度所有健康(非人寿)保险的公开去标识化索赔宏观数据。收集并分析了年龄组、性别、索赔金额、索赔比例以及住院天数的详细信息。适当使用了描述性统计、卡方检验和威尔科克森检验。P≤0.05被认为具有统计学意义。

结果

在2011 - 2012年,在注册的2591781名会员中有2864例精神疾病索赔(0.11%),在2012 - 2013年降至0.03%,并在2013 - 2014年略微升至所有索赔的0.07%。2011 - 2012年精神疾病索赔支付总额为5170万卢比,2012 - 2013年为9720万卢比,2013 - 2014年为1.5亿卢比。在年龄组、性别、索赔金额和比例以及住院天数方面出现了统计学上的显著差异。

结论

健康保险的渗透率较低,精神疾病索赔仍然很少。精神疾病在年龄、性别、索赔金额和天数模式上的差异为制定未来政策提供了详细的相关信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45a9/5461833/92322bc29877/IJPsyM-39-254-g003.jpg

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