Sociodemographic and contextual variables as predictors of men’s health insurance enrolment in Ghana: Evidence from a micro indicator cluster survey
Introduction: This study explores the ability of sociodemographic and contextual variables, including ethnicity, rural/urban residence, and region, to predict health insurance enrollment among men in Ghana. Methods: This study employs primary data from the Ghana Micro Indicator Cluster Survey (MI...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
International Network for the Advancement of Medicine, Psychology, and Public Health (INAMPPH)
2024-04-01
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| Series: | Advances in Medicine, Psychology, and Public Health |
| Subjects: | |
| Online Access: | https://ampphealthjournal-network.org/wp-content/uploads/2024/02/AMPPH_2024_62_73.pdf |
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| Summary: | Introduction: This study explores the ability of sociodemographic and contextual variables, including ethnicity, rural/urban residence, and region, to predict health insurance enrollment
among men in Ghana.
Methods: This study employs primary data from the Ghana Micro Indicator Cluster Survey (MICS) 2017/2018. The compositional and contextual variables were tested as the main predictors of health insurance coverage in two multivariable ordinal logistic models using odd ratios and p-values after Spearman's rho correlation analysis was conducted.
Results: Spearman's rho correlation analysis revealed a positive relationship between age and health insurance coverage and a similar relationship between rural/urban residence and health
insurance coverage. Educational level and wealth index quintile were the most significant predictors of health insurance coverage among men in Model 1. Including ethnicity, rural/urban area of residence, and regional location as contextual factors in Model 2 revealed an improved effect of the existing sociodemographic variables except for functional difficulty, which was not statistically significant.
Discussion: Low health insurance coverage among men can increase vulnerabilities and gendered tendencies associated with enrolment in health insurance services. The sociodemographic and geo-related context-specific variations depict the differential effects in the predictors of men's health insurance coverage. |
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| ISSN: | 3034-8803 |