Wiseman Virginia, Asante Augustine, Price Jennifer, Hayen Andrew, Irava Wayne, Martins Joao, Guinness Lorna, Jan Stephen
School of Public Health and Community Medicine, University of New South Wales, Samuels Bldg, Kensington Campus, New South Wales 2052, Australia, Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK, Centre for Health Information, Policy and Systems Research, Fiji National University, Suva, Fiji Islands, Faculty of Medicine and Health Sciences, Universudade Nacional Timor-Leste, Díli, Timor-Leste, George Institute for Global Health, University of Sydney, Sydney, Australia School of Public Health and Community Medicine, University of New South Wales, Samuels Bldg, Kensington Campus, New South Wales 2052, Australia, Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK, Centre for Health Information, Policy and Systems Research, Fiji National University, Suva, Fiji Islands, Faculty of Medicine and Health Sciences, Universudade Nacional Timor-Leste, Díli, Timor-Leste, George Institute for Global Health, University of Sydney, Sydney, Australia
School of Public Health and Community Medicine, University of New South Wales, Samuels Bldg, Kensington Campus, New South Wales 2052, Australia, Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK, Centre for Health Information, Policy and Systems Research, Fiji National University, Suva, Fiji Islands, Faculty of Medicine and Health Sciences, Universudade Nacional Timor-Leste, Díli, Timor-Leste, George Institute for Global Health, University of Sydney, Sydney, Australia.
Health Policy Plan. 2015 Oct;30(8):1053-8. doi: 10.1093/heapol/czu108. Epub 2014 Sep 24.
Many low- and middle-income countries are seeking to reform their health financing systems to move towards universal coverage. This typically means that financing is based on people's ability to pay while, for service use, benefits are based on the need for health care. Financing incidence analysis (FIA) and benefit incidence analysis (BIA) are two popular tools used to assess equity in health systems financing and service use. FIA studies examine who pays for the health sector and how these contributions are distributed according to socioeconomic status (SES). BIA determines who benefits from health care spending, with recipients ranked by their relative SES. In this article, we identify 10 resources to assist researchers and policy makers seeking to undertake or interpret findings from financing and benefit incidence analyses in the health sector. The article pays particular attention to the data requirements, computations, methodological challenges and country level experiences with these types of analyses.
许多低收入和中等收入国家都在寻求改革其卫生筹资体系，以实现全民覆盖。这通常意味着筹资基于人们的支付能力，而在服务使用方面，福利则基于医疗保健需求。筹资发生率分析（FIA）和受益发生率分析（BIA）是用于评估卫生系统筹资和服务使用公平性的两种常用工具。FIA研究考察谁为卫生部门付费，以及这些缴款如何根据社会经济地位（SES）进行分配。BIA确定谁从医疗保健支出中受益，受益者按其相对SES排名。在本文中，我们确定了10种资源，以协助研究人员和政策制定者开展或解读卫生部门筹资和受益发生率分析的结果。本文特别关注这些类型分析的数据要求、计算方法、方法挑战和国家层面的经验。
