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. 2020 Dec;18(6):825-840.
doi: 10.1007/s40258-019-00499-y.

Health Insurance in Sub-Saharan Africa: A Scoping Review of the Methods Used to Evaluate its Impact

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Health Insurance in Sub-Saharan Africa: A Scoping Review of the Methods Used to Evaluate its Impact

Stéphanie Degroote et al. Appl Health Econ Health Policy. 2020 Dec.

Erratum in

Abstract

We conducted a scoping review with the objective of synthesizing available literature and mapping what designs and methods have been used to evaluate health insurance reforms in sub-Saharan Africa. We systematically searched for scientific and grey literature in English and French published between 1980 and 2017 using a combination of three key concepts: "Insurance" and "Impact evaluation" and "sub-Saharan Africa". The search led to the inclusion of 66 articles with half of the studies pertaining to the evaluation of National Health Insurance schemes, especially the Ghanaian one, and one quarter pertaining to Community-Based Health Insurance and Mutual Health Organization schemes. Sixty-one out of the 66 studies (92%) included were quantitative studies, while only five (8%) were defined as mixed methods. Most studies included applied an observational design (n = 37; 56%), followed by a quasi-experimental (n = 27; 41%) design; only two studies (3%) applied an experimental design. The findings of our scoping review are in line with the observation emerging from prior reviews focused on content in pointing at the fact that evidence on the impact of health insurance is still relatively weak as it is derived primarily from studies relying on observational designs. Our review did identify an increase in the use of quasi-experimental designs in more recent studies, suggesting that we could observe a broadening and deepening of the evidence base on health insurance in Africa over the next few years.

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Conflict of interest statement

Stéphanie Degroote, Valery Ridde and Manuela De Allegri declare that they have no conflicts of interest.

Figures

Fig. 1
Fig. 1
Prisma flow chart
Fig. 2
Fig. 2
Geographical repartition. Black > 10 studies; dark grey 9 to 7 studies; medium grey 6 to 4 studies; light grey 3 or 2 studies; very light grey: 1 study
Fig. 3
Fig. 3
Time trends of publication of impact evaluation of health insurance reforms
Fig. 4
Fig. 4
Type of health insurance evaluated. CBHI community-based health insurance; MHO “mutuelle” health organization (type of CBHI); NHIS national health insurance scheme
Fig. 5
Fig. 5
Designs of included studies by country
Fig. 6
Fig. 6
Temporal trends according to study designs

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