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Health Insurance Coverage and Its Socioeconomic and Demographic Determinants in Cameroon

Received: 1 June 2023     Accepted: 25 June 2023     Published: 6 July 2023
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Abstract

Health insurance coverage is a public health issue for global and national health financing in Africa where countries have gradually begun to implement universal health coverage. This study analyses the socioeconomic and demographic determinants of health insurance coverage in Cameroon using a cross-sectional study design. A nationwide stratified, two-stage sampling was used to sample 33,983 individuals. A logistic regression model was used for both bivariate and multivariate analysis with a statistically significant level of p<0.05. The participants were predominantly male (77%) with a sex ratio of 3.3. The health insurance coverage rate was only 2.06% of people. Urban residents were significantly more likely to be covered (1.54%) compared to rural residents (0.51%; p<0.00). Men (1.52%) were significantly more covered than women (0.54%; p<0.04) and both sexes were cumulatively split between employer health insurance (54.94%), social security (22%), mutual health insurance (12.2%), private commercial insurance (10%) and help/relief from associations/family (0.87%). Working age influences insurance coverage with statistically significant differences among age groups (0.15%, 0.67%, and 1.23%, p<0.00). A high level of education significantly increases insurance coverage with 82.5% of secondary and tertiary education compared to 17.5% for primary and no education (p<0.00). The economic well-being quintile scale influences the susceptibility to health insurance coverage with 76.4% of the rich and/or richer, compared to 13.6% of the middle class, 10% of the poor, and none of the poorest (p<0.00). Compared to the rich, the poorest were 78%, the poor 75%, and the middle class 67%, less likely to be covered by any type of health insurance (p<0.01). Employability positively influences health insurance coverage with statistically significant differences between annual full-time workers (77.6%), seasonal workers (13.6%), and casual workers (8.8%, p<0.00). These findings provided evidence to guide policies for improving equity in financing universal health coverage for people living in low-resource settings.

Published in International Journal of Health Economics and Policy (Volume 8, Issue 2)
DOI 10.11648/j.hep.20230802.13
Page(s) 44-56
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Health Insurance, Coverage, Determinants, Socioeconomic, Demographic, Universal Health Coverage, Cameroon

References
[1] Guo P, Qin Y, Wang R, Li J, Liu J, Wang K, Li Y, Kang Z, Hao Y, Liu H, Sun H, Cui Y, Shan L, Wu Q. (2023). Perspectives and evaluation on the effect of financial burden relief of medical insurance for people with catastrophic diseases and its influencing factors. Front Public Health. 2023 Apr 6; 11: 1123023. doi: 10.3389/fpubh.2023.1123023. eCollection 2023. PMID: 37089514.
[2] WHO/WB (2022). Tracking Universal Health Coverage: 2021 Global monitoring report. Geneva and Washington (DC): World Health Organization and World Bank; 2021.
[3] OMS (2021): Dépenses mondiales de santé 2020: affronter la tempête [Global spending on health 2020: weathering the storm]. Genève, Organisation mondiale de la Santé, 2021. Licence: CC BY-NC-SA 3.0 IGO.
[4] OIT/BIT (2022). Rapport mondial sur la protection sociale 2020-2022 – Rapport complémentaire sur l’Afrique – Bureau international du Travail – Genève, 2022 ISBN 978-92-2-035743-9 (imprimé) ISBN 978-92-2-035744-6 (pdf Web). Copyright © Organisation internationale du Travail 2022 Première édition 2022.
[5] FEKKAKLOUHAIL, S. (2022). Les déterminants de l’adhésion volontaire à la couverture sociale au Maroc. International Journal of Accounting, Finance, Auditing, Management and Economics, 3 (3-2), 410-429. https://doi.org/10.5281/zenodo.658241.
[6] Ponnusamy P, Venugopal V, Dongre AR (2021). Health insurance coverage and its determinants among middle-income households in Urban Puducherry: A mixed methods study. Indian J Public Health 2021; 65: 231-6.
[7] Kolasa A and Weychert E (2023). The causal effect of catastrophic health expenditure on poverty in Poland. Eur J Health Econ. doi: 10.1007/s10198-023-01579-6. Online ahead of print.PMID: 36897432.
[8] Eze P, Lawani LO, Agu UJ, Amara LU, Okorie CA, Acharya Y. (2022). Factors associated with catastrophic health expenditure in sub-Saharan Africa: A systematic review. PLoS One. 2022 Oct 20; 17 (10): e0276266. doi: 10.1371/journal.pone.0276266. eCollection 2022.PMID: 36264930.
[9] WB/WHO (2017). La couverture santé universelle en Afrique: un cadre pour l’action.
[10] DEFOURNY J. and FAILON J. (2011). Les déterminants de l’adhésion aux mutuelles de santé en Afrique subsaharienne: un inventaire des travaux empiriques. Mondes en Développement Vol.39-2011/1-n°153. DOI: 10.3917/med.153.0007.
[11] Laokri, S., R. Soelaeman, and D. R. Hotchkiss (2018). Assessing out-of-pocket expenditures for primary health care: how responsive is the Democratic Republic of Congo health system to providing financial risk protection? BMC Health Serv Res, 2018. 18 (1): p. 451.
[12] Witter S, Bertone M, Dale E, Jowett M. (2019). Health financing in fragile and conflict-affected situations: a review of the evidence. World Health Organization, Geneva. Available from: https://www.who.int/health-topics/health-financing#tab=tab_1
[13] Gilson L & McIntyre D (2005). Removing user fees for primary care in Africa: the need for careful action. BMC. 2005; 331: 762–765.
[14] Nde, C et al (2019). Progress towards Universal Health Coverage: Is Cameroon Investing Enough in Primary Care? Universal Journal of Public Health. 7. 171-178. 10.13189/ujph.2019.070403.
[15] WHO/WB (2018): Systèmes de santé pour une couverture santé universelle – une vision commune pour la santé de tous. CSU 2030, Partenariat International de la santé.
[16] Aregbeshola BS and Khan SM (2018). Determinants of catastrophic health expenditure in Nigeria Eur J Health Econ. 2018 May; 19 (4): 521-532. doi: 10.1007/s10198-017-0899-1. Epub 2017 May 29.
[17] World Bank, (2022). Population Total Cameroon: United Nations Population Division. World Population Prospects: 2022. United Nations Statistical Division. Population and Vital Statistics Reprot. https://data.worldbank.org/indicator/SP.POP.TOTL?locations=CM
[18] MoPH (2016). Cameroon Health Sector Strategy 2016-2027. Yaounde, Cameroon.
[19] WHO (2011). Abuja Declaration: Ten years on. Geneva, Switzerland.
[20] MoPH/WHO (2022). Rapport sur les comptes nationaux de la santé 2018-2019 au Cameroun. Yaounde, Cameroun.
[21] MoPH (2019). Stratégie de Financement de la Santé 2019-2030. Septembre 2019, Yaounde, Cameroun.
[22] MoPH (2018). Instauration de la couverture santé universelle au Cameroun: synthèse des travaux du groupe technique national, Yaoundé, Cameroun.
[23] Awomo Ndongo, J. C. (2015). Émergence des mutuelles de santé au Cameroun. Revue internationale de l'économie sociale, (336), 23–35. https://doi.org/10.7202/1030158ar
[24] Devadasan N, Seshadri T, Trivedi M, Criel B. (2013). Promoting universal financial protection: Evidence from the Rashtriya Swasthya Bima Yojana (RSBY) in Gujarat, India. Health Res Policy Syst 2013; 11: 29.
[25] Ahlin T, Nichter M, Pillai G. (2016). Health insurance in India: What do we know and why is ethnographic research needed. Anthropol Med 2016; 23: 102-24.
[26] Institut National de la Statistique & ICF Macro, (2018). Cameroun: Vème Enquête de Démographie et de Santé. Yaounde, Cameroun.
[27] Nugroho W. N. and Vitri W. (2016). Socioeconomic Determinants of Health Insurance Membership Of Women Of Reproductive Age In Indonesia. Proceedings ICHWB (International Conference on Health and Well-Being) ICHWB (International Conference on Health and Well-Being) 2016. (Universitas Muhammadiyah Surakarta, 2016-05 27). http://hdl.handle.net/11617/7406
[28] MoPH (2016). Evaluation organisationnelle et institutionnelle pour l’amélioration et le renforcement du financement de la sante vers la couverture universelle au Cameroun. Rapport OASIS, Yaounde, Cameroun.
[29] OIT/BIT (2021). Africa Regional Social Protection Strategy, 2021-2025: Towards 40 % – a social protection coverage acceleration framework to achieve the SDGs. ISBN: 9789220359938. Copyright © Organisation internationale du Travail 2021. Première édition 2021.
[30] Ntembe A., Tawah R and Faux E (2021). Redistributive effects of health care out-of pocket payments in Cameroon. Int J Equity Health (2021) 20: 227 https://doi.org/10.1186/s12939-021-01562-8.
[31] Awomo-Ndongo JC, Mahieu P-A, Tsafack-Nanfosso R. (2014). Mutuelles de Santé et Etat de santé des populations au Cameroun: une enquête conduite dans la région du Centre pour estimer l’effet de l’adhésion à une mutuelle sur l’état de santé déclaré. Journal de Gestion et d’Economie Médicales 2014; 32 (4): 263-279.
[32] DE ALLEGRI M., SANON M., SAUERBORN R. (2006a). To enrol or not enrol? A qualitative investigation of demand for health insurance in rural West Africa, Social Science Medicine, vol. 62, n°6, 1520-1527.
[33] DE ALLEGRI M., KOUYANTE B., BECKER H., GBANGOU A., POKHREL S., SANON M., SAUERBORN R. (2006b). Understanding enrolment in community health insurance in sub-Saharan Africa: a population-based case-control study in rural Burkina Faso, Bulletin World Health Organisation, vol. 84, n°11, 852-858.
[34] JÜTTING J. (2005). Health insurance for the poor in developing countries, Ashgate Publishing, Aldershot.
[35] Gbénahou HBM (2019). « Comprendre les faibles taux d’adhésion et de cotisation aux mutuelles de santé: exploration dans quatre communes du Bénin », Anthropologie & Santé [En ligne], 18 | 2019, mis en ligne le 04 mars 2019, consulté le 18 janvier 2023. URL: http://journals.openedition.org/anthropologiesante/4847; DOI: https://doi.org/10.4000/anthropologiesante.4847
[36] Paul et al. (2016). Élisabeth Paul, Oriane Bodson, Valery Ridde, Fabienne Fecher De Boeck Supérieur | « Reflets et perspectives de la vie économique » 2016/1 Tome LV | pages 57 à 71. DOI 10.3917/rpve.551.0057.
[37] Chenoa W R, Tchaboc W, and Tchamy J (2021). Willingness to join and pay for community-based health insurance and associated determinants among urban households of Cameroon: case of Douala and Yaounde. Helyon.Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). https://doi.org/10.1016/j.heliyon.2021.e06507
[38] SOGOBA S., MAIGA M., BENGALY B., KONE A., KEITA B., DIAKITE BD. and DIOP S. (2020). Déterminant de l’adhésion a la couverture maladie dans le secteur informel au Mali: cas de la commune rurale de M’Pessoba. Revue Malienne de Science et de Technologie – ISSN 1987-1031 Série B: Médecine humaine, Pharmacie, Production animale. Vol. 01 No 23 (Juin 2020).
[39] WHO (2020). Community-based health insurance. Retrieved, May 21, 2022. https://www.who.int/news-room/fact-sheets/detail/community-basedhealth-insurance-2020#:~:text=Community-based%20health%20insurance%2
[40] Musungu. E. W (2021). “Socioeconomic Determinants of National Hospital Insurance Fund Health Contributions and Absorption: A Time Series Investigation Among the Counties in Kenya. International Journal of Health Economics and Policy. Vol. 6, No. 1, 2021, pp. 1-13. doi: 10.11648/j.hep.20210601.11.
[41] Anarwat, S. G; Shepard, D. S (2020). Health Care Financing Reforms in Ghana: Key Lessons for Uganda and other LMICs in Robert Basaza, Prossy Kiddu Namyalo, Chrispus Mayora, Donald S. Shepard (Eds) (2020). The Journey to Universal Health Insurance Coverage, what are the lessons for Uganda and Other LMICs? Nova Science Publishers, New York.
[42] Atim, C., F. Diop, J. Etté, D. Evrard, P. Marcadent, and N. Massiot. (1998). The Contribution of Mutual Organizations to Financing, Delivery, and Access to Health Care: Synthesis and Research in Nine West and Central African Countries. Bethesda, MD: Abt Associates, Partnerships for Health Reform Project.
[43] Atchouta R. A. (2017). De la mutualisation de la santé communautaire à la gouvernance de santé publique: analyse des déterminants d’adhésion aux mutuelles de santé dans un contexte de dynamique sociale au Centre-Bénin. Afrique et développement, Volume XLII, No. 1, 2017, pp. 33-54.
[44] Defourny J, Failon J. (2011). Les déterminants de l’adhésion aux mutuelles de santé en Afrique subsaharienne: un inventaire des travaux empiriques. Mondes En Dév.; 153 (1): 7-26. Document téléchargé depuis www.cairn.info - - - 194.78.219.108 - 14/06/2015 23h18. © De Boeck Supérieur.
[45] Bruna Marion (2022). «La mise en place d’une complémentaire santé par l’entreprise: entre logique d’incitation et inégalités de couverture», Économie et institutions [En ligne], 30-31 | 2022, mis en ligne le 01 septembre 2022, consulté le 05 novembre 2022. URL: http://journals.openedition.org/ei/7269; DOI: https://doi.org/10.4000/ei.7269.
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    Zakariaou Njoumemi, Altiné Fadimatou, Samuel Honore Ntavoua, Ousseni Mongbet, Rahimatou Manouore. (2023). Health Insurance Coverage and Its Socioeconomic and Demographic Determinants in Cameroon. International Journal of Health Economics and Policy, 8(2), 44-56. https://doi.org/10.11648/j.hep.20230802.13

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    Zakariaou Njoumemi; Altiné Fadimatou; Samuel Honore Ntavoua; Ousseni Mongbet; Rahimatou Manouore. Health Insurance Coverage and Its Socioeconomic and Demographic Determinants in Cameroon. Int. J. Health Econ. Policy 2023, 8(2), 44-56. doi: 10.11648/j.hep.20230802.13

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    AMA Style

    Zakariaou Njoumemi, Altiné Fadimatou, Samuel Honore Ntavoua, Ousseni Mongbet, Rahimatou Manouore. Health Insurance Coverage and Its Socioeconomic and Demographic Determinants in Cameroon. Int J Health Econ Policy. 2023;8(2):44-56. doi: 10.11648/j.hep.20230802.13

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  • @article{10.11648/j.hep.20230802.13,
      author = {Zakariaou Njoumemi and Altiné Fadimatou and Samuel Honore Ntavoua and Ousseni Mongbet and Rahimatou Manouore},
      title = {Health Insurance Coverage and Its Socioeconomic and Demographic Determinants in Cameroon},
      journal = {International Journal of Health Economics and Policy},
      volume = {8},
      number = {2},
      pages = {44-56},
      doi = {10.11648/j.hep.20230802.13},
      url = {https://doi.org/10.11648/j.hep.20230802.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hep.20230802.13},
      abstract = {Health insurance coverage is a public health issue for global and national health financing in Africa where countries have gradually begun to implement universal health coverage. This study analyses the socioeconomic and demographic determinants of health insurance coverage in Cameroon using a cross-sectional study design. A nationwide stratified, two-stage sampling was used to sample 33,983 individuals. A logistic regression model was used for both bivariate and multivariate analysis with a statistically significant level of p<0.05. The participants were predominantly male (77%) with a sex ratio of 3.3. The health insurance coverage rate was only 2.06% of people. Urban residents were significantly more likely to be covered (1.54%) compared to rural residents (0.51%; p<0.00). Men (1.52%) were significantly more covered than women (0.54%; p<0.04) and both sexes were cumulatively split between employer health insurance (54.94%), social security (22%), mutual health insurance (12.2%), private commercial insurance (10%) and help/relief from associations/family (0.87%). Working age influences insurance coverage with statistically significant differences among age groups (0.15%, 0.67%, and 1.23%, p<0.00). A high level of education significantly increases insurance coverage with 82.5% of secondary and tertiary education compared to 17.5% for primary and no education (p<0.00). The economic well-being quintile scale influences the susceptibility to health insurance coverage with 76.4% of the rich and/or richer, compared to 13.6% of the middle class, 10% of the poor, and none of the poorest (p<0.00). Compared to the rich, the poorest were 78%, the poor 75%, and the middle class 67%, less likely to be covered by any type of health insurance (p<0.01). Employability positively influences health insurance coverage with statistically significant differences between annual full-time workers (77.6%), seasonal workers (13.6%), and casual workers (8.8%, p<0.00). These findings provided evidence to guide policies for improving equity in financing universal health coverage for people living in low-resource settings.},
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - Health Insurance Coverage and Its Socioeconomic and Demographic Determinants in Cameroon
    AU  - Zakariaou Njoumemi
    AU  - Altiné Fadimatou
    AU  - Samuel Honore Ntavoua
    AU  - Ousseni Mongbet
    AU  - Rahimatou Manouore
    Y1  - 2023/07/06
    PY  - 2023
    N1  - https://doi.org/10.11648/j.hep.20230802.13
    DO  - 10.11648/j.hep.20230802.13
    T2  - International Journal of Health Economics and Policy
    JF  - International Journal of Health Economics and Policy
    JO  - International Journal of Health Economics and Policy
    SP  - 44
    EP  - 56
    PB  - Science Publishing Group
    SN  - 2578-9309
    UR  - https://doi.org/10.11648/j.hep.20230802.13
    AB  - Health insurance coverage is a public health issue for global and national health financing in Africa where countries have gradually begun to implement universal health coverage. This study analyses the socioeconomic and demographic determinants of health insurance coverage in Cameroon using a cross-sectional study design. A nationwide stratified, two-stage sampling was used to sample 33,983 individuals. A logistic regression model was used for both bivariate and multivariate analysis with a statistically significant level of p<0.05. The participants were predominantly male (77%) with a sex ratio of 3.3. The health insurance coverage rate was only 2.06% of people. Urban residents were significantly more likely to be covered (1.54%) compared to rural residents (0.51%; p<0.00). Men (1.52%) were significantly more covered than women (0.54%; p<0.04) and both sexes were cumulatively split between employer health insurance (54.94%), social security (22%), mutual health insurance (12.2%), private commercial insurance (10%) and help/relief from associations/family (0.87%). Working age influences insurance coverage with statistically significant differences among age groups (0.15%, 0.67%, and 1.23%, p<0.00). A high level of education significantly increases insurance coverage with 82.5% of secondary and tertiary education compared to 17.5% for primary and no education (p<0.00). The economic well-being quintile scale influences the susceptibility to health insurance coverage with 76.4% of the rich and/or richer, compared to 13.6% of the middle class, 10% of the poor, and none of the poorest (p<0.00). Compared to the rich, the poorest were 78%, the poor 75%, and the middle class 67%, less likely to be covered by any type of health insurance (p<0.01). Employability positively influences health insurance coverage with statistically significant differences between annual full-time workers (77.6%), seasonal workers (13.6%), and casual workers (8.8%, p<0.00). These findings provided evidence to guide policies for improving equity in financing universal health coverage for people living in low-resource settings.
    VL  - 8
    IS  - 2
    ER  - 

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Author Information
  • Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon

  • Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Garoua, Garoua, Cameron

  • Policy and Programme Analysis Division, Health Economics and Policy Research and Evaluation for Development Results Group (HEREG), Yaounde, Cameroon

  • Policy and Programme Analysis Division, Health Economics and Policy Research and Evaluation for Development Results Group (HEREG), Yaounde, Cameroon

  • Policy and Programme Analysis Division, Health Economics and Policy Research and Evaluation for Development Results Group (HEREG), Yaounde, Cameroon

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