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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
International Network for the Advancement of Medicine, Psychology, and Public Health (INAMPPH)
2024-04-01
|
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846150363600650240 |
|---|---|
| author | Richard Boateng |
| author_facet | Richard Boateng |
| author_sort | Richard Boateng |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-049fbfff78324d67b8f12d23bbd0222c |
| institution | Kabale University |
| issn | 3034-8803 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | International Network for the Advancement of Medicine, Psychology, and Public Health (INAMPPH) |
| record_format | Article |
| series | Advances in Medicine, Psychology, and Public Health |
| spelling | doaj-art-049fbfff78324d67b8f12d23bbd0222c2024-11-28T22:44:22ZengInternational Network for the Advancement of Medicine, Psychology, and Public Health (INAMPPH)Advances in Medicine, Psychology, and Public Health3034-88032024-04-0112627310.5281/zenodo.10637403Sociodemographic and contextual variables as predictors of men’s health insurance enrolment in Ghana: Evidence from a micro indicator cluster surveyRichard Boateng0https://orcid.org/0000-0002-8642-0895University of Education, Winneba. Department of Health Administration and Education, Winneba, Ghana.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.https://ampphealthjournal-network.org/wp-content/uploads/2024/02/AMPPH_2024_62_73.pdfhealth insurancemen's healthhealth disparitiesghana |
| spellingShingle | Richard Boateng Sociodemographic and contextual variables as predictors of men’s health insurance enrolment in Ghana: Evidence from a micro indicator cluster survey Advances in Medicine, Psychology, and Public Health health insurance men's health health disparities ghana |
| title | Sociodemographic and contextual variables as predictors of men’s health insurance enrolment in Ghana: Evidence from a micro indicator cluster survey |
| title_full | Sociodemographic and contextual variables as predictors of men’s health insurance enrolment in Ghana: Evidence from a micro indicator cluster survey |
| title_fullStr | Sociodemographic and contextual variables as predictors of men’s health insurance enrolment in Ghana: Evidence from a micro indicator cluster survey |
| title_full_unstemmed | Sociodemographic and contextual variables as predictors of men’s health insurance enrolment in Ghana: Evidence from a micro indicator cluster survey |
| title_short | Sociodemographic and contextual variables as predictors of men’s health insurance enrolment in Ghana: Evidence from a micro indicator cluster survey |
| title_sort | sociodemographic and contextual variables as predictors of men s health insurance enrolment in ghana evidence from a micro indicator cluster survey |
| topic | health insurance men's health health disparities ghana |
| url | https://ampphealthjournal-network.org/wp-content/uploads/2024/02/AMPPH_2024_62_73.pdf |
| work_keys_str_mv | AT richardboateng sociodemographicandcontextualvariablesaspredictorsofmenshealthinsuranceenrolmentinghanaevidencefromamicroindicatorclustersurvey |