Evidence map›Paper›PMID 35413098›Full record

Observational studyHealth policy and planning2022

Operational and structural factors influencing enrolment in community-based health insurance schemes: an observational study using 12 waves of nationwide panel data from Senegal.

Thomas Rouyard, Yukichi Mano, Bocar Mamadou Daff, Serigne Diouf, Khadidiatou Fall Dia, Laetitia Duval, Josselin Thuilliez, Ryota Nakamura

Abstract readObservational Study
In one paragraph

Observational study in Health policy and planning, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Thomas RouyardResearch Center for Health Policy and Economics, Hitotsubashi University, 2-1 Naka, Kunitachi, Tokyo 186-8601, Japan.ORCID 0000-0001-6412-1360
Yukichi ManoGraduate School of Economics, Hitotsubashi University, 2-1 Naka, Kunitachi, Tokyo 186-8601, Japan.
Bocar Mamadou DaffNational Agency for Universal Health Financial Protection, Cité Keur Gorgui, Immeuble El Hadji Serigne Mérina Sylla, Dakar, Senegal.
Serigne DioufNational Agency for Universal Health Financial Protection, Cité Keur Gorgui, Immeuble El Hadji Serigne Mérina Sylla, Dakar, Senegal.
Khadidiatou Fall DiaNational Agency for Universal Health Financial Protection, Cité Keur Gorgui, Immeuble El Hadji Serigne Mérina Sylla, Dakar, Senegal.
Laetitia DuvalCentre d'Économie de la Sorbonne, UMR 8174, Centre National de la Recherche Scientifique-Université Paris 1 Panthéon-Sorbonne, Maison des Sciences Economiques, 106-112 Boulevard de L'Hôpital, 75013 Paris, France.
Josselin ThuilliezCentre d'Économie de la Sorbonne, UMR 8174, Centre National de la Recherche Scientifique-Université Paris 1 Panthéon-Sorbonne, Maison des Sciences Economiques, 106-112 Boulevard de L'Hôpital, 75013 Paris, France.ORCID 0000-0001-5392-0917
Ryota NakamuraResearch Center for Health Policy and Economics, Hitotsubashi University, 2-1 Naka, Kunitachi, Tokyo 186-8601, Japan.

Funding

Japan Society for the Promotion of Science KAKENHI 18H03634
6 · The paper itself

Abstract

Community-based health insurance (CBHI) has been implemented in many low- and middle-income countries to increase financial risk protection in populations without access to formal health insurance. While the design of such social programmes is fundamental to ensuring equitable access to care, little is known about the operational and structural factors influencing enrolment in CBHI schemes. In this study, we took advantage of newly established data monitoring requirements in Senegal to explore the association between the operational capacity and structure of CBHI schemes-also termed 'mutual health organizations' (MHO) in francophone countries-and their enrolment levels. The dataset comprised 12 waves of quarterly data over 2017-2019 and covered all 676 MHOs registered in the country. Primary analyses were conducted using dynamic panel data regression analysis. We found that higher operational capacity significantly predicted higher performance: enrolment was positively associated with the presence of a salaried manager at the MHO level (12% more total enrolees, 23% more poor members) and with stronger cooperation between MHOs and local health posts (for each additional contract signed, total enrolees and poor members increased by 7% and 5%, respectively). However, higher operational capacity was only modestly associated with higher sustainability proxied by the proportion of enrolees up to date with premium payment. We also found that structural factors were influential, with MHOs located within a health facility enrolling fewer poor members (-16%). Sensitivity analyses showed that these associations were robust. Our findings suggest that policies aimed at professionalizing and reinforcing the operational capacity of MHOs could accelerate the expansion of CBHI coverage, including in the most impoverished populations. However, they also suggest that increasing operational capacity alone may be insufficient to make CBHI schemes sustainable over time.

Indexed as

Community-Based Health InsuranceHumansInsurance, HealthSenegalcommunity-based health insurancemutual health organizationSenegalSub-Saharan AfricaUniversal health coverage

Identifiers

PMID35413098
PMCPMC9347027

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.