Social Deterministic Factors to Participation in the National Health Insurance Scheme in the Context of Rural Ghanaian Setting

Determinants of enrolment in health insurance scheme among HIV patients attending a clinic in a tertiary hospital in South-eastern Nigeria

Objective

The study aimed to assess the determinants of enrolment in health insurance schemes among people living with HIV.

Design

The study was a cross-sectional study. A pre-tested interviewer-administered questionnaire was used to collect information from 371 HIV clients attending the clinic. Chi-square statistic was used for bi-variate analysis, and analytical decisions were considered significant at a p-value less than 0.05. Logistic regression was done to determine predictors of enrolment in health insurance.

Setting

The study was carried out in the HIV clinic of Alex Ekwueme Federal University Teaching Hospital Abakaliki, Nigeria.

Participants

HIV clients attending a clinic.

Result

Mean age of respondents was 45.4±10.3, and 51.8% were males. Almost all the respondents were Christians. Only 47.7% were married, and most lived in the urban area. Over 70% had at least secondary education, and only 34.5% were civil servants. About 60% of the respondents were enrolled in a health insurance scheme. Being single (AOR: 0.374, CI:0.204-0.688), being self-employed (AOR: 4.088, CI: 2.315-7.217), having a smaller family size (AOR: 0.124, CI: 0.067-0.228), and having the higher income (AOR: 4.142, CI: 2.07-8.286) were predictors of enrolment in a health insurance scheme.

Conclusion

The study has shown that enrolment in a health insurance scheme is high among PLHIV, and being single, self-employed, having a smaller family size, and having a higher monthly income are predictors of enrolment in the health insurance scheme. Increasing the number of dependants that can be enrolled so that larger families can be motivated to enrol in health insurance is recommended.

Funding

None declared.

Factors Associated with Enrolment of Households in Nepal's National Health Insurance Program

BACKGROUND

Nepal has made remarkable efforts towards social health protection over the past several years. In 2016, the Government of Nepal introduced a National Health Insurance Program (NHIP) with an aim to ensure equitable and universal access to healthcare by all Nepalese citizens. Following the first year of operation, the scheme has covered 5 percent of its target population. There are wider concerns regarding the capacity of NHIP to achieve adequate population coverage and remain viable. In this context, this study aimed to identify the factors associated with enrolment of households in the NHIP.

METHODS

A cross-sectional household survey using face to face interview was carried out in 2 Palikas (municipalities) of Ilam district. 570 households were studied by recruiting equal number of NHIP enrolled and non-enrolled households. We used Pearson's chi-square test and binary logistic regression to identify the factors associated with household's enrolment in NHIP. All statistical analyses were performed using IBM SPSS version 23 software.

RESULTS

Enrolment of households in NHIP was found to be associated with ethnicity, socio-economic status, past experience of acute illness in family and presence of chronic illness. The households that belonged to higher socio-economic status were about 4 times more likely to enrol in the scheme. It was also observed that households from privileged ethnic groups such as Brahmin, Chhetri, Gurung, and Newar were 1.7 times more likely to enrol in NHIP compared to those from underprivileged ethnic groups such as janajatis (indigenous people) and dalits (the oppressed). The households with illness experience in 3 months preceding the survey were about 1.5 times more likely to enrol in NHIP compared to households that did not have such experience. Similarly, households in which at least one of the members was chronically ill were 1.8 times more likely to enrol compared to households with no chronic illness.

CONCLUSION

Belonging to the privileged ethnic group, having a higher socio-economic status, experiencing an acute illness and presence of chronically ill member in the family are the factors associated with enrolment of households in NHIP. This study revealed gaps in enrolment between rich-poor households and privileged-underprivileged ethnic groups. Extension of health insurance coverage to poor and marginalized households is therefore needed to increase equity and accelerate the pace towards achieving universal health coverage.

Households Sociodemographic Profile as Predictors of Health Insurance Uptake and Service Utilization: A Cross-Sectional Study in a Municipality of Ghana

Introduction. Attempts to use health insurance in Low and Middle Income Countries (LMICs) are recognized as a powerful tool in achieving Universal Health Coverage (UHC). However, continuous enrolment onto health insurance schemes and utilization of healthcare in these countries remain problematic due to varying factors. Empirical evidence on the influence of household sociodemographic factors on enrolment and subsequent utilization of healthcare is rare. This paper sought to examine how household profile influences the National Health Insurance Scheme (NHIS) status and use of healthcare in a municipality of Ghana. Methods. A cross-sectional design with quantitative methods was conducted among a total of 380 respondents, selected through a multistage cluster sampling. Data were collected using a semistructured questionnaire. Data were analysed using descriptive and multiple logistics regression at 95% CI using STATA 14. Results. Overall, 57.9% of respondents were males, and average age was 34 years. Households’ profiles such as age, gender, education, marital status, ethnicity, and religion were key predictors of NHIS active membership. Compared with other age groups, 38–47 years (AOR 0.06) and 58 years and above (AOR = 0.01), widow, divorced families, Muslims, and minority ethnic groups were less likely to have NHIS active membership. However, females (AOR = 3.92), married couples (AOR = 48.9), and people educated at tertiary level consistently had their NHIS active. Proximate factors such as education, marital status, place of residence, and NHIS status were predictors of healthcare utilization. Conclusion. The study concludes that households’ proximate factors influence the uptake of NHIS policy and subsequent utilization of healthcare. Vulnerable population such as elderly, minority ethnic, and religious groups were less likely to renew their NHIS policy. The NHIS policy should revise the exemption bracket to wholly cover vulnerable groups such as minority ethnic and religious groups and elderly people at retiring age of 60 years.