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

Author:

Rouyard Thomas1ORCID,Mano Yukichi2,Daff Bocar Mamadou3,Diouf Serigne3,Fall Dia Khadidiatou3,Duval Laetitia4,Thuilliez Josselin4ORCID,Nakamura Ryota1

Affiliation:

1. Research Center for Health Policy and Economics, Hitotsubashi University , 2-1 Naka, Kunitachi, Tokyo 186-8601, Japan

2. Graduate School of Economics, Hitotsubashi University , 2-1 Naka, Kunitachi, Tokyo 186-8601, Japan

3. National Agency for Universal Health Financial Protection , Cité Keur Gorgui, Immeuble El Hadji Serigne Mérina Sylla, Dakar, Senegal

4. Centre 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

Abstract

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.

Funder

Japan Society for the Promotion of Science

Publisher

Oxford University Press (OUP)

Subject

Health Policy

Reference73 articles.

1. The impact of health insurance schemes for the informal sector in low-and middle-income countries: a systematic review;Acharya;The World Bank Research Observer,2013

2. Annuaire des statistiques sanitaires et sociales du Sénégal 2016;Agence Nationale de la Statistique et de la Démographie,2017

3. Impact evaluation of India’s ‘Yeshasvini’ community-based health insurance programme;Aggarwal;Health Economics,2010

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