A causal loop analysis of the sustainability of integrated community case management in Rwanda

被引:31
|
作者
Sarriot, Eric [1 ,3 ]
Morrow, Melanie [1 ,2 ,3 ]
Langston, Anne [5 ]
Weiss, Jennifer [4 ]
Landegger, Justine [5 ]
Tsuma, Laban [6 ]
机构
[1] ICF Int, Ctr Design & Res Sustainable Hlth & Human Dev CED, Rockville, MD 20850 USA
[2] World Relief, Int Programs, Baltimore, MD USA
[3] MCSP, Washington, DC USA
[4] Concern Worldwide Inc, Operat Dept, New York, NY USA
[5] Int Rescue Comm, Hlth Unit, Int Programs Dept, New York, NY USA
[6] MCHIP, Washington, DC USA
关键词
Sustainability; Causal loop analysis; Community case management; Evaluation; Health systems; Rwanda; Systems thinking; Community health; HEALTH; PERFORMANCE; SYSTEMS;
D O I
10.1016/j.socscimed.2015.03.014
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Expansion of community health services in Rwanda has come with the national scale up of integrated Community Case Management (iCCM) of malaria, pneumonia and diarrhea. We used a sustainability assessment framework as part of a large-scale project evaluation to identify factors affecting iCCM sustainability (2011). We then (2012) used causal-loop analysis to identify systems determinants of iCCM sustainability from a national systems perspective. This allows us to develop three high-probability future scenarios putting the achievements of community health at risk, and to recommend mitigating strategies. Our causal loop diagram highlights both balancing and reinforcing loops of cause and effect in the national iCCM system. Financial, political and technical scenarios carry high probability for threatening the sustainability through: (1) reduction in performance-based financing resources, (2) political shocks and erosion of political commitment for community health, and (3) insufficient progress in resolving district health systems "building blocks" performance gaps. In a complex health system, the consequences of choices may be delayed and hard to predict precisely. Causal loop analysis and scenario mapping make explicit complex cause-and-effects relationships and high probability risks, which need to be anticipated and mitigated. (C) 2015 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:147 / 155
页数:9
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