• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

对来自梅加拉亚邦的政府资助医疗保险参保和理赔数据的分析:了解印度东北部的医疗保健提供情况。

An analysis of government-sponsored health insurance enrolment and claims data from Meghalaya: Insights into the provision of health care in North East India.

机构信息

Indian Institute of Public Health Shillong, Shillong, Meghalaya, India.

Department of Health & Family Welfare, Government of Meghalaya, Shillong, India.

出版信息

PLoS One. 2022 Jun 3;17(6):e0268858. doi: 10.1371/journal.pone.0268858. eCollection 2022.

DOI:10.1371/journal.pone.0268858
PMID:35657934
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9165869/
Abstract

INTRODUCTION

The Megha Health Insurance Scheme (MHIS) was launched in 2013 in the North-East Indian state of Meghalaya to reduce household out-of-pocket expenditure on health and provide access to high-quality essential healthcare. Despite substantial expansion of the MHIS since the scheme's inception, there is a lack of comprehensive documentation and evaluation of the scheme's performance against its Universal Health Care (UHC) objectives.

METHODS

We analysed six years of enrolment and claims data (2013-2018) covering three phases of the scheme to understand the pattern of enrolment, utilisation and care provision under the MHIS during this period. De-identified data files included information on age, sex, district of residence, the district of provider hospital, type of hospital, date of admission, status at discharge, claimed category of care, package codes, and amount claimed. Descriptive statistics were generated to investigate key trends in enrolment, service utilisation, and Government health spending under the MHIS.

RESULTS

Approximately 55% of the eligible population are currently enrolled in MHIS. Enrolment increased consistently from phase I through III and remained broadly stable across districts, gender, age group and occupation categories, with a small decline in males 19-60 years. Claims were disproportionately skewed towards private provision; 57% of all claims accrued to the 18 empanelled private hospitals and 39% to the 159 public sector facilities. The package 'General Ward Unspecified' was responsible for the highest volume of claims and highest financial dispensation across all three phases of the scheme. This likely indicates substantial administrative error and is potentially masking both true burden of disease and accurate financial provision for care under the MHIS. Anti-rabies injections for dog/cat bite contributed to 11% of total claims under MHIS III, and 1.6% of all claims under MHIS II. This warrants investigation to better understand the burden of animal bites on the Meghalayan population and inform the implementation of cost-effective strategies to reduce this burden.

CONCLUSIONS

This paper describes the first analysis of health insurance enrolment and claims data in the state of Meghalaya. The analysis has generated an important evidence base to inform future MHIS enrolment and care provision policies as the scheme expands to provide Universal Health Coverage to the state's entire population.

摘要

简介

2013 年,印度东北部梅加拉亚邦推出了 Megha 健康保险计划(MHIS),旨在降低家庭医疗支出,提供高质量的基本医疗保健。尽管自该计划启动以来,MHIS 已经大幅扩张,但缺乏对该计划在实现全民健康覆盖(UHC)目标方面的表现进行全面记录和评估。

方法

我们分析了 2013 年至 2018 年的六年参保和理赔数据(共涵盖该计划的三个阶段),以了解在此期间 MHIS 参保、使用和提供医疗服务的模式。去标识数据文件包含了年龄、性别、居住地区、医疗机构所在地区、医院类型、入院日期、出院状态、所申请的护理类别、套餐代码和理赔金额等信息。我们生成了描述性统计数据,以调查 MHIS 参保、服务使用和政府健康支出方面的关键趋势。

结果

目前,约有 55%的符合条件的人口参加了 MHIS。从第一阶段到第三阶段,参保人数持续增加,且在各地区、性别、年龄组和职业类别之间基本保持稳定,只有 19-60 岁男性略有下降。理赔数据严重偏向私人医疗机构;所有理赔中有 57%来自 18 家入围的私立医院,39%来自 159 家公立医疗机构。套餐“普通病房未指定”在所有三个阶段的计划中都产生了最高数量的理赔和最高的财务支出。这可能表明存在大量的行政错误,并且可能掩盖了 MHIS 下的真实疾病负担和准确的医疗服务财务支出。狂犬病疫苗接种(针对狗/猫咬伤)占 MHIS III 总理赔的 11%,占 MHIS II 总理赔的 1.6%。这需要进一步调查,以更好地了解动物咬伤对梅加拉亚邦人口的负担,并为实施降低这种负担的成本效益策略提供信息。

结论

本文描述了对梅加拉亚邦医疗保险参保和理赔数据的首次分析。该分析为未来的 MHIS 参保和医疗服务提供政策提供了重要的证据基础,因为该计划正在扩大,为该州的全部人口提供全民健康覆盖。

相似文献

1
An analysis of government-sponsored health insurance enrolment and claims data from Meghalaya: Insights into the provision of health care in North East India.对来自梅加拉亚邦的政府资助医疗保险参保和理赔数据的分析:了解印度东北部的医疗保健提供情况。
PLoS One. 2022 Jun 3;17(6):e0268858. doi: 10.1371/journal.pone.0268858. eCollection 2022.
2
Assessing geographical inequity in availability of hospital services under the state-funded universal health insurance scheme in Chhattisgarh state, India, using a composite vulnerability index.运用综合脆弱性指数评估印度恰蒂斯加尔邦政府资助的全民健康保险计划下医院服务可及性的地理不平等情况。
Glob Health Action. 2018;11(1):1541220. doi: 10.1080/16549716.2018.1541220.
3
Performance of India's national publicly funded health insurance scheme, Pradhan Mantri Jan Arogaya Yojana (PMJAY), in improving access and financial protection for hospital care: findings from household surveys in Chhattisgarh state.印度国家公共资助的医疗保险计划——总理贾恩·阿罗格亚·约哈纳(PMJAY)在改善医院护理的可及性和财务保障方面的表现:恰蒂斯加尔邦家庭调查的结果。
BMC Public Health. 2020 Jun 16;20(1):949. doi: 10.1186/s12889-020-09107-4.
4
Impact of Government-Funded Health Insurance on Out-of-Pocket Expenditure and Quality of Hospital-Based Care in Indian States of Madhya Pradesh and Maharashtra.政府资助的医疗保险对印度马哈拉施特拉邦和中央邦州自付支出和医院为基础的医疗质量的影响。
Appl Health Econ Health Policy. 2024 Nov;22(6):815-825. doi: 10.1007/s40258-024-00911-2. Epub 2024 Aug 25.
5
Assessment of the public-private-partnerships model of a national health insurance scheme in India.印度国家医疗保险计划公私合作伙伴关系模式评估。
Soc Sci Med. 2019 Dec;243:112634. doi: 10.1016/j.socscimed.2019.112634. Epub 2019 Oct 24.
6
Is health insurance really benefitting Indian population? Evidence from a nationally representative sample survey.健康保险真的让印度民众受益了吗?来自全国代表性样本调查的证据。
Int J Health Plann Manage. 2024 Mar;39(2):293-310. doi: 10.1002/hpm.3716. Epub 2023 Nov 1.
7
A Systematic Review of the World's Largest Government Sponsored Health Insurance Scheme for 500 Million Beneficiaries in India: Pradhan Mantri Jan Arogya Yojana.印度为 5 亿受益人提供的世界上最大的政府资助医疗保险计划——总理医疗保险计划的系统评价。
Appl Health Econ Health Policy. 2024 Jan;22(1):17-32. doi: 10.1007/s40258-023-00838-0. Epub 2023 Oct 6.
8
The trust and insurance models of healthcare purchasing in the Ayushman Bharat Pradhan Mantri Jan Arogya Yojana in India: early findings from case studies of two states.印度“阿育王·巴拉特保健储蓄金计划”中医疗保健购买的信任和保险模式:来自两个邦案例研究的初步发现。
BMC Health Serv Res. 2022 Aug 18;22(1):1056. doi: 10.1186/s12913-022-08407-2.
9
Analysis of multi drug resistant tuberculosis (MDR-TB) financial protection policy: MDR-TB health insurance schemes, in Chhattisgarh state, India.耐多药结核病(MDR-TB)财务保护政策分析:印度恰蒂斯加尔邦的耐多药结核病医疗保险计划
Health Econ Rev. 2018 Jan 27;8(1):3. doi: 10.1186/s13561-018-0187-5.
10
Improving hospital-based processes for effective implementation of Government funded health insurance schemes: evidence from early implementation of PM-JAY in India.改善医院层面的流程,以有效实施政府资助的医疗保险计划:来自印度 PM-JAY 早期实施的证据。
BMC Health Serv Res. 2022 Jan 15;22(1):73. doi: 10.1186/s12913-021-07448-3.

本文引用的文献

1
Impact of public-funded health insurances in India on health care utilisation and financial risk protection: a systematic review.印度公共资助的医疗保险对医疗保健利用和财务风险保护的影响:系统评价。
BMJ Open. 2021 Dec 22;11(12):e050077. doi: 10.1136/bmjopen-2021-050077.
2
Role of insurance in determining utilization of healthcare and financial risk protection in India.保险在印度医疗保健利用和财务风险保护中的作用。
PLoS One. 2019 Feb 5;14(2):e0211793. doi: 10.1371/journal.pone.0211793. eCollection 2019.
3
Reasons for low utilisation of public facilities among households with hypertension: analysis of a population-based survey in India.
印度高血压患者家庭公共设施利用率低的原因:基于人群调查的分析
BMJ Glob Health. 2018 Dec 20;3(6):e001002. doi: 10.1136/bmjgh-2018-001002. eCollection 2018.
4
Inequity & burden of out-of-pocket health spending: District level evidences from India.不平等与自付医疗支出负担:来自印度的地区证据。
Indian J Med Res. 2018 Aug;148(2):180-189. doi: 10.4103/ijmr.IJMR_90_17.
5
Nations within a nation: variations in epidemiological transition across the states of India, 1990-2016 in the Global Burden of Disease Study.一国之内的差异:1990-2016 年印度各邦的疾病流行转变的流行病学差异,全球疾病负担研究。
Lancet. 2017 Dec 2;390(10111):2437-2460. doi: 10.1016/S0140-6736(17)32804-0. Epub 2017 Nov 14.
6
Extending health insurance to the poor in India: An impact evaluation of Rashtriya Swasthya Bima Yojana on out of pocket spending for healthcare.将健康保险覆盖到印度的贫困人口:对国家健康保险计划在医疗保健自费支出方面影响的评估。
Soc Sci Med. 2017 May;181:83-92. doi: 10.1016/j.socscimed.2017.03.053. Epub 2017 Mar 27.
7
Impact of Publicly Financed Health Insurance Schemes on Healthcare Utilization and Financial Risk Protection in India: A Systematic Review.印度公共资助医疗保险计划对医疗保健利用和财务风险保护的影响:一项系统评价
PLoS One. 2017 Feb 2;12(2):e0170996. doi: 10.1371/journal.pone.0170996. eCollection 2017.
8
Health system in India: opportunities and challenges for improvements.印度的卫生系统:改进的机遇与挑战。
J Health Organ Manag. 2006;20(6):560-72. doi: 10.1108/14777260610702307.
9
Assessing the accuracy of administrative data in health information systems.评估健康信息系统中管理数据的准确性。
Med Care. 2004 Nov;42(11):1066-72. doi: 10.1097/00005650-200411000-00005.