Socioeconomic and demographic correlates of nonenrolment onto the national health insurance scheme among children in Ghana: Insight from the 2017/18 Multiple Indicator Cluster Survey

Factors related to women's use of health insurance cover in Navakholo, Kakamega County, Kenya: sub-county level results based on community household register

BACKGROUND

In concert with international commitments, the Government of Kenya identified Universal Health Coverage (UHC), mainly through the National Health Insurance Fund (NHIF), as one of its four priority agenda to enable its populations access health care without financial duress. Nevertheless, only about 19.5% of the Kenyan population is enrolled in any insurance health cover. Since 2016, Amref Health Africa and PharmAccess Foundation have been implementing the Innovative Partnership for Universal and Sustainable Healthcare (iPUSH) programme in Navakholo sub-county of Kakamega County. The main objective of this study is to examine use of health insurance cover among Women of Reproductive Age (WRA) in Navakholo sub-county, Kakamega County.

METHODS

We analysed data captured during household registration conducted in February 2021 which embraced a question on use of health insurance cover including NHIF. The dataset consisted 148,957 household members within 32,262 households, 310 villages, and 32 community health units. The data had been collected using mobile phones by trained Community Health Volunteers (CHVs) and transmitted using the Amref electronic data management platform and reposited in a server. Data were analysed through frequency distributions and logistic regression (descriptive and causal methods) using STATA software.

RESULTS

Insurance coverage, all providers included, in Navakholo sub-county stood at 11% among women aged 15-49 years. This is much lower than the national aggregate reported from sample surveys, but higher than the 7% found in the same survey for the region where Navakholo is situated. Social determinant variables - age, perceived condition of the household, and wealth ranking - are highly significant in the relationship with use of health insurance cover while measures of reproductive health and health vulnerability are not.

CONCLUSION

In Navakholo sub-county of Western Kenya, all-health-insurance coverage is lower than the national aggregate estimated from sample surveys. Age, perception of household condition, and wealth ranking are very significantly related to use of a health insurance cover. Frequent household registrations should be conducted to help monitor the trends and impact of health insurance campaigns. Training - upstream and downstream - on community household registration and data processing should be conducted to arrive at better quality data.

Trends and inequalities in children aged 6-59 months who received Vitamin A supplementation: evidence from the 2003, 2008 and 2014 Ghana Demographic and Health Survey

BACKGROUND

Vitamin A deficiency is considered a public health issue, particularly among children under 5 years. Vitamin A supplementation is among the ten key essential nutrition actions put in place to tackle malnutrition in children and helps to reduce under-five mortality by almost a quarter in Vitamin A deficient areas. We, therefore, examined inequalities in Vitamin A uptake among children 6-59 months in Ghana.

METHODS

We used data from the 2003, 2008, and 2014 Ghana Demographic and Health Surveys. The WHO's HEAT version 3.1 software was used for all the analyses. We adopted six equity stratifiers (maternal age, economic status, level of education, place of residence, sex of the child, and region) to disaggregate Vitamin A supplementation among children 6-59 months. Four measures were used to compute inequality, namely, Difference (D), Population Attributable Risk (PAR), Population Attributable Fraction (PAF) and Ratio (R).

RESULTS

Over the 11-year period, the proportion of children who received Vitamin A supplementation declined from 78.6% to 65.2%. There were inequalities by maternal age, particularly in 2003 (D = 13.1, CI: 2.3, 23.9; PAF = 0.5, CI: - 12.3, 13.2). The widest inequality in Vitamin A supplementation by economic status was noted in 2003 (D = 8.8, CI: 3.3-14.2; PAF = 8.3, CI: 5, 11.5). In terms of sex, the indices revealed mild inequality in Vitamin A supplementation throughout the period studied. For education, the highest inequality was observed in 2014 (D = 11.6, CI: 6.0, 17.1), while the highest inequality in terms of place of residence was observed in 2003 (D = 4.0, CI: - 0.1-8.4). In the case of region, substantial inequality was noted in 2014 (D = 34.7, CI: 22.6, 46.8; PAF = 21.1, CI: 15.3, 27).

CONCLUSIONS

We conclude that there is a need for the government of Ghana to deploy targeted interventions to enhance the uptake of Vitamin A supplementation among the most disadvantaged subpopulations. Interventions targeted at these disadvantaged populations should be pro-poor in nature. In addition, the inequalities in the dimension of place of residence were mixed, favoring both rural and urban children at different points. This calls for a comprehensive and all-inclusive approach that enhances Vitamin A supplementation uptake in an equitable manner in both areas of residence. Empowerment of women through formal education could be an important step toward improving Vitamin A supplementation among children in Ghana.

Factors associated with health insurance enrolment among ghanaian children under the five years. Analysis of secondary data from a national survey

Background

Health insurance enrolment provides financial access to health care and reduces the risk of catastrophic healthcare expenditure. Therefore, the objective of this study was to assess the prevalence and correlates of health insurance enrolment among Ghanaian children under five years.

Methods

We analysed secondary data from the 2017/18 Ghana Multiple Indicator Cluster Survey. The survey was a nationally representative weighted sample comprising 8,874 children under five years and employed Computer Assisted Personal Interviewing to collect data from the participants. In addition, Chi-square and Logistic Regression analyses were conducted to determine factors associated with health insurance enrolment.

Results

The results showed that a majority (58.4%) of the participants were insured. Health insurance enrollment was associated with child age, maternal educational status, wealth index, place of residence and geographical region (p < 0.05). Children born to mothers with higher educational status (AOR = 2.14; 95% CI: 1.39–3.30) and mothers in the richest wealth quintile (AOR = 2.82; 95% CI: 2.00–3.98) had a higher likelihood of being insured compared with their counterparts. Also, children residing in rural areas (AOR = 0.75; 95% CI: 0.61–0.91) were less likely to be insured than children in urban areas.

Conclusion

This study revealed that more than half of the participants were insured. Health insurance enrolment was influenced by the child's age, mother's educational status, wealth index, residence, ethnicity and geographical region. Therefore, interventions aimed at increasing health insurance coverage among children should focus on children from low socio-economic backgrounds. Stakeholders can leverage these findings to help improve health insurance coverage among Ghanaian children under five years.

Health insurance coverage and timely antenatal care attendance in sub-Saharan Africa

Introduction

Out-of-pocket payments for healthcare remain a significant health financing challenge in sub-Saharan Africa (SSA), preventing women from using maternal health services. There is a paucity of empirical literature on the influence of health insurance coverage on the timeliness of antenatal care (ANC) attendance in low- and middle-income countries. In this study, we examined the association between health insurance coverage and timely ANC attendance among pregnant women in SSA.

Methods

Secondary data from Demographic and Health Surveys conducted between 2015 and 2020 in sixteen (16) sub-Saharan African countries with 113,918 women aged 15-49 years were included in the analysis. The outcome variable was the timing of antenatal care (ANC). A multilevel binary logistic regression analysis was carried out to determine the association between health insurance coverage and timely ANC.

Results

The overall coverage of health insurance and timely antenatal attendance among pregnant women in SSA were 4.4% and 39.0% respectively. At the country level, the highest coverage of health insurance was found in Burundi (24.3%) and the lowest was in Benin (0.9%). For timely ANC attendance, the highest prevalence was in Liberia (72.4%) and the lowest was in Nigeria (24.2%). The results in the model showed that women who were covered by health insurance were more likely to have timely ANC attendance compared to those who were not covered by health insurance (aOR = 1.21, 95% CI = 1.11-1.31).

Conclusion

Our findings show that that being covered under health insurance is associated with higher likelihood of seeking timely ANC attendance. To accelerate progress towards achievement of the Sustainable Development Goal targets by the year 2030, we recommend that governments and health insurance authorities across the sub-Saharan African countries actively implement health insurance policies as well as roll out health educational programmes that facilitate and ensure increased coverage of health insurance.

Socioeconomic Disparities in Hospital Utilization Among Female Workers in Indonesia: A Cross-Sectional Study

BACKGROUND

The study aims to analyze the relationship between socioeconomic and hospital utilization among female workers in Indonesia.

METHODS

The study analyzed secondary data from the 2018 Indonesian Basic Health Survey. The study gathered 161 186 female workers through stratification and multistage random sampling. As control factors, the study looked at age, marital status, education, occupation, and health insurance, in addition to the categories of socioeconomic and hospital utilization. The study used binary logistic regression to evaluate the data in the final step.

RESULTS

The result shows female workers with poorer wealth status are 1.142 times more likely than the most impoverished female workers to utilize the hospital (AOR 1.142; 95% CI 1.135-1.148). Female workers with median wealth status are 1.509 times more likely than the poorest female workers to take advantage of the hospital (AOR 1.509; 95% CI 1.501-1.517). Female workers with wealthier wealth status are 1.808 times more likely than the poorest female workers to use the hospital (AOR 1.808; 95% CI 1.799-1.817). The wealthiest female workers are 2.399 times more likely than the poorest female workers to utilize the hospital (2.399; 95% CI 2.387-2.411).

CONCLUSION

The study concluded a relationship between socioeconomic status and hospital utilization among female workers in Indonesia. The better the socioeconomic, the better the hospital utilization.