Health insurance coverage among men and women in six countries within the Southeast Asia Region (2015–2022): a multilevel analysis of Demographic and Health Surveys

IF 6.2 Q1 HEALTH CARE SCIENCES & SERVICES
Nishikant Singh , Pratheeba John , Sudheer Kumar Shukla , Rimjhim Bajpai , Rituparna Sengupta , Rajeev Sadanandan , Navin Singh
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引用次数: 0

Abstract

Background

Equitable access to quality healthcare without financial hardship is key to achieving Universal Health Coverage (UHC), especially in low- and middle-income countries in the WHO Southeast Asia Region (SEAR). Despite health insurance programmes, high out-of-pocket expenditures remain a barrier. This study evaluates health insurance coverage in SEAR, analysing socioeconomic and demographic factors.

Methods

This cross-sectional study used data from Demographic and Health Surveys (2015–2022) conducted in countries within the SEAR (data from six countries for women and five for men). Our analysis separately examined women and men aged 15–49 years using data from their respective individual Demographic and Health Survey datasets. Pooled estimates of health insurance coverage were calculated with 95% CI. Multilevel logistic regression quantified variations at the country and community-levels and identified factors influencing health insurance uptake.

Findings

Health insurance coverage varied across SEAR, with Indonesia reporting highest for women (58.2%; 95% CI: 57.65–58.72) and men (56.6%; 95% CI: 55.31–57.88), while lowest in Bangladesh for women (0.3%; 95% CI: 0.22–0.39) and Myanmar for men (1.4%; 95% CI: 1.04–1.83). Indonesia also had highest social security health insurance (women: 31.0%; 95% CI: 30.49–31.49, men: 27.9%; 95% CI: 26.74–29.03). Private insurance was lowest in Myanmar (women: 0.6%; 95% CI: 0.42–0.72, men: 0.9%; 95% CI: 0.60–1.27) and highest in Indonesia (women: 28.0%; 95% CI: 27.54–28.5, men: 30.0%; 95% CI: 28.81–31.14). Health insurance coverage was higher among individuals with higher education, greater exposure to mass media, rural residence, and older age. Insurance uptake was influenced by contextual factors beyond individual characteristics. India had highest community-attributable variation in health insurance uptake [women (53.1%; 95% CI: 52.56–53.62); men (56.3%; 95% CI: 55.17–57.46)], while lowest in Indonesia among women (17.7%; 95% CI: 16.40–18.99) and Maldives among men (10.8%; 95% CI: 6.71–16.84), after adjusting for demographic and socioeconomic factors.

Interpretation

With an ageing population, healthcare demand and costs in SEAR will rise. Context-specific health insurance policies and targeted interventions are crucial for bridging coverage gaps and achieving UHC.

Funding

There is no specific funding for this study.
东南亚区域六个国家(2015-2022年)男性和女性的医疗保险覆盖率:人口与健康调查的多层次分析
在没有经济困难的情况下公平获得优质医疗保健服务是实现全民健康覆盖的关键,特别是在世卫组织东南亚区域的低收入和中等收入国家。尽管有医疗保险方案,但高额的自付支出仍然是一个障碍。本研究评估东南亚地区的医疗保险覆盖率,分析社会经济和人口因素。方法:本横断面研究使用了在东南亚区域内国家进行的人口与健康调查(2015-2022)的数据(来自6个国家的女性和5个国家的男性的数据)。我们的分析分别检查了15-49岁的女性和男性,使用的数据来自他们各自的人口和健康调查数据集。健康保险覆盖的汇总估计值以95% CI计算。多水平逻辑回归量化了国家和社区层面的变化,并确定了影响健康保险吸收的因素。研究发现,东南亚地区的医疗保险覆盖率各不相同,印度尼西亚的妇女覆盖率最高(58.2%;95% CI: 57.65-58.72)和男性(56.6%;95% CI: 55.31-57.88),而孟加拉国女性最低(0.3%;95% CI: 0.22-0.39)和缅甸男性(1.4%;95% ci: 1.04-1.83)。印度尼西亚的社会保障医疗保险也最高(妇女:31.0%;95% CI: 30.49-31.49,男性:27.9%;95% ci: 26.74-29.03)。缅甸的私人保险最低(女性:0.6%;95% CI: 0.42-0.72,男性:0.9%;95% CI: 0.60-1.27),在印度尼西亚最高(女性:28.0%;95% CI: 27.54-28.5,男性:30.0%;95% ci: 28.81-31.14)。受过高等教育、更多地接触大众媒体、居住在农村和年龄较大的个人的健康保险覆盖率较高。保险吸收受个体特征以外的环境因素的影响。印度在医疗保险吸收方面的社区差异最大[妇女(53.1%;95% ci: 52.56-53.62);男性(56.3%;95% CI: 55.17-57.46)],而印度尼西亚女性最低(17.7%;95% CI: 16.40-18.99)和马尔代夫(10.8%;95% CI: 6.71-16.84),在调整了人口统计学和社会经济因素后。随着人口老龄化,东南亚地区的医疗需求和成本将会上升。针对具体情况的医疗保险政策和有针对性的干预措施对于弥合覆盖差距和实现全民健康覆盖至关重要。本研究没有特定的资金支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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