scholarly journals Evaluating Equity in Health Financing Using Benefit Incidence Analysis: A Framework for Accounting for Quality of Care

2020 ◽  
Vol 18 (6) ◽  
pp. 759-766 ◽  
Author(s):  
Augustine Asante ◽  
Nicola Man ◽  
Virginia Wiseman
2014 ◽  
Vol 30 (8) ◽  
pp. 1053-1058 ◽  
Author(s):  
Virginia Wiseman ◽  
Augustine Asante ◽  
Jennifer Price ◽  
Andrew Hayen ◽  
Wayne Irava ◽  
...  

Abstract 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.


2020 ◽  
Author(s):  
Amalia Fakhrun Nisa ◽  
Andryan Setyadharma

The Government of Indonesia has launched new social assistance program named the Uninhabitable Houses Rehabilitation Program (in Indonesian: Program Rumah Tidak Layak Huni). Uninhabitable Houses Rehabilitation program is a social assistance program that aims to restore social functioning and improve the quality of poor housing that is initially uninhabitable to be habitable. This study aims to evaluate the achievement of the Uninhabitable Houses Rehabilitation Program in Grobogan Regency, Central Java Province, Indonesia. Grobogan Regency has the highest number of uninhabitable houses compared to another regencies and cities in Central Java Province. The method used in this study is Benefit Incidence Analysis (BIA). This model shows the distribution of public expenditure made by the government into different community groups based on the level of income, so that it is expected to explain the progression of the Uninhabitable Houses Rehabilitation program given by the government to the residents of Grobogan Regency. The results of this study indicate that the Uninhabitable Houses Rehabilitation program in Grobogan Regency is a progressive policy, because the benefits received by the poor are more than 10%, i.e. 12,12%.


ASHA Leader ◽  
2012 ◽  
Vol 17 (6) ◽  
pp. 2-2
Author(s):  
Dennis Hampton
Keyword(s):  

2006 ◽  
Vol 175 (4S) ◽  
pp. 229-229
Author(s):  
David C. Miller ◽  
John M. Hollingsworth ◽  
Khaled S. Hafez ◽  
Stephanie Daignault ◽  
Brent K. Hollenbeck

2007 ◽  
Vol 38 (9) ◽  
pp. 73
Author(s):  
MARY ELLEN SCHNEIDER
Keyword(s):  

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