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. 2024 Jun 11;24(1):1566.
doi: 10.1186/s12889-024-18930-y.

The role of gender in health insurance enrollment among geriatric caregivers: results from the 2022 informal caregiving, health, and healthcare survey in Ghana

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The role of gender in health insurance enrollment among geriatric caregivers: results from the 2022 informal caregiving, health, and healthcare survey in Ghana

Williams Agyemang-Duah et al. BMC Public Health. .

Abstract

Background: Female informal caregivers of older adults experience a higher burden of physical and mental health problems compared to their male counterparts due to the greater intensity of care they provide. This is likely to result in an imbalance in health needs, including health insurance enrollment, between male and female informal caregivers of older adults. However, to date, no study is available on the role of gender in health insurance enrollment among informal caregivers of older adults in Ghana. This study examines the association between gender and health insurance enrollment among informal caregivers of older adults in Ghana.

Methods: Cross-sectional data from the Informal Caregiving, Health, and Healthcare Survey among caregivers of older adults aged 50 years or above (N = 1,853 and mean ages = 39.15 years and 75.08 years of informal caregivers and their care recipients, respectively) in Ghana were analyzed. A binary logit regression model was used to estimate the association between gender and health insurance enrollment. All statistical inferences were made at the 5% significance level.

Results: The final Model (3) showed that female informal caregivers were 2.70 times significantly more likely to enrol in a health insurance scheme than their male counterparts (AOR: 2.70, 95% CI: 2.09-3.48, p-value = 0.001). Apart from gender, the results revealed that participants aged 55-64 years (AOR = 2.38, 95%CI: 1.29-4.41, p-value = 0.006), with tertiary education (AOR: 3.62, 95% CI: 2.32-5.66, p-value = 0.001) and living with the care recipients (AOR: 1.50, 95% CI: 1.14-1.98, p-value = 0.003) were significantly more likely to enrol in a health insurance scheme than their counterparts. The findings further showed that those who earned between GH¢1000 and 1999 (US$99.50-198.50) monthly (AOR: 0.70, 95% CI: 0.52-0.95, p-value = 0.022) and were affiliated with African traditional religion (AOR: 0.30, 95%CI: 0.09-0.99, p-value = 0.048) were significantly less likely to enrol in a health insurance scheme than their counterparts.

Conclusion: Gender was a significant predictor of health insurance enrollment among informal caregivers of older adults. This finding contributes to the empirical debates on the role of gender in health insurance enrollment among informal caregivers of older adults. Policymakers need to develop gender-specific measures to address gender gaps in health insurance enrollment among informal caregivers of older adults in Ghana. Such health policies and programs should consider other significant demographic and socioeconomic factors associated with health insurance enrolment among informal caregivers of older adults in Ghana.

Keywords: Gender; Geriatric informal caregivers; Ghana; Health insurance enrollment.

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Conflict of interest statement

The authors declare no competing interests.

Williams Agyemang-Duah is a Section Editor of the Archives of Public Health, BMC. All other authors declare no conflict of interest.

Figures

Fig. 1
Fig. 1
Flow chart showing an overview of the study’s methods
Fig. 2
Fig. 2
Prevalence of enrollment in a health insurance scheme by gender
Fig. 3
Fig. 3
Random forests variable importance plot

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References

    1. UN Department of Economic and Social Affairs (n.d). Transforming our world: the 2030 Agenda for sustainable development. Accessed from, https://sdgs.un.org/2030agenda
    1. Hsiao WC, Shaw RP. Lessons learned and policy implications. Social Health Insurance Developing Nations. 2007;434:155.
    1. Mills A, Ataguba JE, Akazili J, Borghi J, Garshong B, Makawia S, McIntyre D. Equity in financing and use of health care in Ghana, South Africa, and Tanzania: implications for paths to universal coverage. Lancet. 2012;380(9837):126–33. doi: 10.1016/S0140-6736(12)60357-2. - DOI - PubMed
    1. Christmals CD, Aidam K. (2020). Implementation of the National health insurance scheme (NHIS) in Ghana: lessons for South Africa and low-and middle-income countries. Risk Manage Health care Policy, 1879–904. - PMC - PubMed
    1. National Health Insurance Authority, Ghana. (2023). Membership. National Health Insurance Scheme. Accessed at, Membership (nhis.gov.gh).

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