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Exploring heterogeneity of national health insurance scheme enrolment among persons in the informal sector

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  • Samuel Sekyi
  • Paul B. Domanban
  • Fauster Agbenyo

Abstract

The Ghanaian government began implementing the National Health Insurance Scheme (NHIS) in 2005, anchored on the universal health coverage principle. However, informal sector workers contribute to the low enrolment into the scheme. This paper examines the factors that influence enrolment status in Ghana's NHIS among individuals in the informal sector. The study employed the fixed‐effects logit model, using the Ghana Socioeconomic Panel Survey datasets. The findings revealed that gender, age, education, marital status, household size, physical activity, income, savings and subjective social welfare determine enrolment decisions of persons in the informal sector. Drivers of NHIS enrolment for male and female household heads were secondary education and household size. Heterogeneously, age, Junior High School education, married, physical activity, subjective social welfare and savings influenced only male‐headed households' enrolment status. The study shows differences in enrolment status among rural and urban residents, as age, education, marital status, household size, and physical activity influenced rural residents, while for urban inhabitants', savings determined their NHIS enrolment decisions. However, gender, obesity, income and subjective social welfare predicted enrolment decisions for rural and urban residents. Finally, two variables, gender (male) and physical activity predicted the NHIS enrolment decision among the poor, whereas subjective social welfare and savings influenced the wealthiest enrolment decisions. For Ghana to achieve the Sustainable Development Goals of universal health coverage, the study recommends enhanced public education on NHIS benefits among informal workers to promote enrolment.

Suggested Citation

  • Samuel Sekyi & Paul B. Domanban & Fauster Agbenyo, 2022. "Exploring heterogeneity of national health insurance scheme enrolment among persons in the informal sector," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(6), pages 3282-3296, November.
  • Handle: RePEc:bla:ijhplm:v:37:y:2022:i:6:p:3282-3296
    DOI: 10.1002/hpm.3557
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    References listed on IDEAS

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    1. Stammann, Amrei & Heiß, Florian & McFadden, Daniel, 2016. "Estimating Fixed Effects Logit Models with Large Panel Data," VfS Annual Conference 2016 (Augsburg): Demographic Change 145837, Verein für Socialpolitik / German Economic Association.
    2. William C. Hsiao & R. Paul Shaw, 2007. "Social Health Insurance for Developing Nations," World Bank Publications - Books, The World Bank Group, number 6860.
    3. Andinet Woldemichael & Daniel Gurara & Abebe Shimeles, 2019. "The Impact of Community Based Health Insurance Schemes on Out-of-Pocket Healthcare Spending: Evidence from Rwanda," IMF Working Papers 2019/038, International Monetary Fund.
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    Cited by:

    1. Edward Asiedu & Dorcas Sowah & Amin Karimu, 2024. "Impact of national health insurance enrolment on farm investments in Sub-Saharan Africa: empirical evidence from Ghana," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 84(4/5), pages 320-341, September.

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