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How to do (or not to do) … a health financing incidence analysis.
Ataguba, John E; Asante, Augustine D; Limwattananon, Supon; Wiseman, Virginia.
Afiliação
  • Ataguba JE; Health Economics Unit, School of Public Health and Family Medicine, Health Sciences Faculty, University of Cape Town, Anzio Road, Observatory, Cape Town 7925, South Africa.
  • Asante AD; School of Public Health and Community Medicine, University of New South Wales, Kensington, NSW, Australia.
  • Limwattananon S; Khon Kaen University, Khon Kaen, Thailand, and.
  • Wiseman V; School of Public Health and Community Medicine, University of New South Wales, Kensington, NSW, Australia.
Health Policy Plan ; 33(3): 436-444, 2018 Apr 01.
Article em En | MEDLINE | ID: mdl-29346547
Financing incidence analysis (FIA) assesses how the burden of health financing is distributed in relation to household ability to pay (ATP). In a progressive financing system, poorer households contribute a smaller proportion of their ATP to finance health services compared to richer households. A system is regressive when the poor contribute proportionately more. Equitable health financing is often associated with progressivity. To conduct a comprehensive FIA, detailed household survey data containing reliable information on both a cardinal measure of household ATP and variables for extracting contributions to health services via taxes, health insurance and out-of-pocket (OOP) payments are required. Further, data on health financing mix are needed to assess overall FIA. Two major approaches to conducting FIA described in this article include the structural progressivity approach that assesses how the share of ATP (e.g. income) spent on health services varies by quantiles, and the effective progressivity approach that uses indices of progressivity such as the Kakwani index. This article provides some detailed practical steps for analysts to conduct FIA. This includes the data requirements, data sources, how to extract or estimate health payments from survey data and the methods for assessing FIA. It also discusses data deficiencies that are common in many low- and middle-income countries (LMICs). The results of FIA are useful in designing policies to achieve an equitable health system.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Características da Família / Interpretação Estatística de Dados / Financiamento da Assistência à Saúde / Seguro Saúde Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Características da Família / Interpretação Estatística de Dados / Financiamento da Assistência à Saúde / Seguro Saúde Idioma: En Ano de publicação: 2018 Tipo de documento: Article