Ghia Canna, Rambhad Gautam
Medical and Scientific Affairs, Pfizer Limited, Mumbai, India.
J Mark Access Health Policy. 2023 Mar 26;11(1):2194507. doi: 10.1080/20016689.2023.2194507. eCollection 2023.
The Indian healthcare system is evolving towards better healthcare implementation and coverage. However, even today, the health-care system faces several challenges, a few of which are yet to be addressed. The present review is aimed to delineate the past and present healthcare scenarios in India, health-care policies, and other initiatives for achieving universal health coverage (UHC).
A literature search was done on various government databases, websites, and PubMed for obtaining data and statistics on healthcare funding, health insurance schemes, healthcare budget allocations, categories of medical expenses, government policies, and health technology assessment (HTA) in India.
The available data indicates 37.2% of the total population is covered by any health insurance of which 78% are covered by public insurance companies. Around 30% of the total health expenditure is borne by the public sector, and there is high out-of-pocket (OOP) expenditure on healthcare.
Several new health policies and schemes, an increase in 2021 budget for healthcare by 137%, vaccination drives, augmenting manufacturing of medical devices, special training packages, Artificial Intelligence/Machine Learning (AI/ML)-based standard treatment workflow systems to ensure proper treatment and clinical decision-making have been initiated by the government for improving healthcare funding, equity, and access.
印度医疗保健系统正在朝着更好地实施医疗保健和扩大覆盖范围的方向发展。然而,即便在今天,医疗保健系统仍面临若干挑战,其中一些挑战尚待解决。本综述旨在描绘印度过去和当前的医疗保健状况、医疗保健政策以及实现全民健康覆盖(UHC)的其他举措。
在多个政府数据库、网站和PubMed上进行文献检索,以获取有关印度医疗保健资金、健康保险计划、医疗保健预算分配、医疗费用类别、政府政策和卫生技术评估(HTA)的数据和统计信息。
现有数据表明,37.2%的总人口享有某种健康保险,其中78%由公共保险公司承保。约30%的医疗总支出由公共部门承担,医疗保健的自付费用(OOP)很高。
政府已启动了多项新的卫生政策和计划,2021年医疗保健预算增加了137%,开展了疫苗接种运动,扩大了医疗设备的生产,推出了特殊培训套餐,建立了基于人工智能/机器学习(AI/ML)的标准治疗工作流程系统,以确保正确的治疗和临床决策,从而改善医疗保健资金、公平性和可及性。