Targeting the worst-off for free health care: A process evaluation in Burkina Faso

被引:17
|
作者
Ridde, Valery [1 ,2 ,3 ]
Yaogo, Maurice [4 ,5 ]
Kafando, Yamba [6 ]
Kadio, Kadidiatou [6 ]
Ouedraogo, Moctar [4 ]
Bicaba, Abel [6 ]
Haddad, Slim [1 ,2 ]
机构
[1] Univ Montreal Hosp Ctr CRCHUM, Res Ctr, Montreal, PQ, Canada
[2] Univ Montreal, Dept Social & Prevent Med, Montreal, PQ H3C 3J7, Canada
[3] CNRST, IRSS, Ouagadougou, Burkina Faso
[4] Agence Format Rech & Expertise Sante Afrique AFRI, Ouagadougou, Burkina Faso
[5] Univ Bobo Dioulasso, Afrique Ouest Unite, Univ Catholique, Bobo Dioulasso, Burkina Faso
[6] Soc Etude & Rech Sante Publ SERSAP, Ouagadougou, Burkina Faso
基金
加拿大健康研究院;
关键词
Exemption; Worst-off; Targeting; Process evaluation; Burkina Faso; IMPROVING ACCESS; SAFETY NETS; EQUITY; POLICY; POOR; EXEMPTIONS; DISTRICTS;
D O I
10.1016/j.evalprogplan.2011.03.007
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Effective mechanisms to exempt the indigent from user fees at health care facilities are rare in Africa. A State-led intervention (2004-2005) and two action research projects (2007-2010) were implemented in a health district in Burkina Faso to exempt the indigent from user fees. This article presents the results of the process evaluation of these three interventions. Individual and group interviews were organized with the key stakeholders (health staff, community members) to document the strengths and weaknesses of key components of the interventions (relevance and uptake of the intervention, worst-off selection and information, financial arrangements). Data was subjected to content analysis and thematic analysis. The results show that all three intervention processes can be improved. Community-based targeting was better accepted by the stakeholders than was the State-led intervention. The strengths of the community-based approach were in clearly defining the selection criteria, informing the waiver beneficiaries, using a participative process and using endogenous funding. A weakness was that using endogenous funding led to restrictive selection by the community. The community-based approach appears to be the most effective, but it needs to be improved and retested to generate more knowledge before scaling up. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:333 / 342
页数:10
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