Determinants of health insurance ownership among women in Kenya: evidence from the 2008-09 Kenya demographic and health survey

Inequalities in women's health insurance coverage before and after the implementation of universal health insurance in Indonesia

Indonesia implemented a National Social Security System (Jaminan Kesehatan Nasional, JKN) in 2014. To examine the changes in the magnitude of socioeconomic inequity in women's health insurance coverage among those of reproductive age, we conducted a repeated cross-sectional study design using data from the Indonesia Demographic and Health Surveys conducted in 2012 and 2017, before and after the implementation of JKN. Results showed that while the JKN program helped to increase health insurance coverage among Indonesian women of childbearing age, low education level and household wealth status were associated with an increase in inequalities in health insurance coverage. The findings highlight the need to sustain coverage for citizens and to extend the JKN program to informal workers to reduce health coverage disparities. Further research is required to explore the mechanisms responsible for health coverage inequality based on socioeconomic indicators.

Spatial distribution and geographical heterogeneity factors associated with households' enrollment level in community-based health insurance

Background

Healthcare service utilization is unequal among different subpopulations in low-income countries. For healthcare access and utilization of healthcare services with partial or full support, households are recommended to be enrolled in a community-based health insurance system (CBHIS). However, many households in low-income countries incur catastrophic health expenditure. This study aimed to assess the spatial distribution and factors associated with households' enrollment level in CBHIS in Ethiopia.

Methods

A cross-sectional study design with two-stage sampling techniques was used. The 2019 Ethiopian Mini Demographic and Health Survey (EMDHS) data were used. STATA 15 software and Microsoft Office Excel were used for data management. ArcMap 10.7 and SaTScan 9.5 software were used for geographically weighted regression analysis and mapping the results. A multilevel fixed-effect regression was used to assess the association of variables. A variable with a p < 0.05 was considered significant with a 95% confidence interval.

Results

Nearly three out of 10 (28.6%) households were enrolled in a CBHIS. The spatial distribution of households' enrollment in the health insurance system was not random, and households in the Amhara and Tigray regions had good enrollment in community-based health insurance. A total of 126 significant clusters were detected, and households in the primary clusters were more likely to be enrolled in CBHIS. Primary education (AOR: 1.21, 95% CI: 1.05, 1.31), age of the head of the household >35 years (AOR: 2.47, 95% CI: 2.04, 3.02), poor wealth status (AOR: 0.31, 95% CI: 0.21, 1.31), media exposure (AOR: 1.35, 95% CI: 1.02, 2.27), and residing in Afar (AOR: 0.01, 95% CI: 0.003, 0.03), Gambela (AOR: 0.03, 95% CI: 0.01, 0.08), Harari (AOR: 0.06, 95% CI: 0.02, 0.18), and Dire Dawa (AOR: 0.02, 95% CI: 0.01, 0.06) regions were significant factors for households' enrollment in CBHIS. The secondary education status of household heads, poor wealth status, and media exposure had stationary significant positive and negative effects on the enrollment of households in CBHIS across the geographical areas of the country.

Conclusion

The majority of households did not enroll in the CBHIS. Effective CBHIS frameworks and packages are required to improve the households' enrollment level. Financial support and subsidizing the premiums are also critical to enhancing households' enrollment in CBHIS.

Role of Socioeconomic Status in National Health Insurance Ownership in Indonesia's Rural Areas

BACKGROUND

National Health Insurance (NHI) is one of the Indonesian Government's policies to increase public access to health services. The study analyzed the role of socioeconomic status in NHI ownership in rural Indonesia. Study Design: A cross-sectional study.

METHODS

The study population included residents of rural Indonesia. The study examined secondary data from the survey entitled "Abilities and Willingness to Pay, Fee, and Participant Satisfaction in Implementing National Health Insurance in Indonesia in 2019", involving 33225 respondents representing Indonesia's rural areas. The study was conducted from March to December 2019. The variables analyzed included NHI, socioeconomic level, age group, gender, education level, employment status, and marital status. In the final step, the study employed binary logistic regression to explain the relationship between socioeconomic status and NHI ownership.

RESULTS

The results show that 63.8% of the population in rural Indonesia participated in the NHI. The poorer residents were 1.235 times more likely to have NHI than the most impoverished population (AOR 1.235; 95% CI 1.234-1.237). People with middle wealth status were 1.086 times more likely to have NHI than the poorest (AOR 1.086; 95% CI 1.085-1.087). The richer residents were 1.134 times more likely to have NHI than the poorest (AOR 1.134; 95% CI 1.133-1.136). The richest residents were 1.078 times more likely to have NHI than the poorest residents (AOR 1.078; 95% CI 1.077-1.079).

CONCLUSION

The study concluded that socioeconomic status is related to NHI ownership in rural Indonesia. The analysis indicated that all socioeconomic categories were more likely to become NHI participants than the poorest in Indonesia.

Economic inequalities in health insurance subscription renewal: Evidence from Ghana's National Health Insurance Scheme

Ghana's national health insurance scheme (NHIS) is considered a major step towards achieving Universal Health Coverage (UHC) in the country. However, over the years the scheme has faced challenges, including subscription non-renewal, that threaten its sustenance. In this study, we estimate and analyse the nature of economic inequalities in NHIS subscription renewal and determine factors that contribute to the observed inequality. Data from the seventh round of the Ghana Living Standard Survey (GLSS) was used for the study. A sample of 40,170 ever insured individuals was included in the analysis comprising 18,066 males and 22,104 females. We computed concentration indices (CIs) and used linear regression techniques to decompose the CIs. The results show that NHIS renewal is pro-rich [CI = 0.126; P < 0.01] and favored males [CI = 0.110; P < 0.01] and urban dwellers [CI = 0.066; p < 0.01]. Major contributors to the observed inequality in subscription renewal include premium and processing fees payment, access to information, and economic wellbeing. The observed rural-urban and male-female differences in subscription renewal were explained by differences in premium and processing fee payments, education outcomes, employment status and access to information. The findings suggest that interventions that reduce cost barriers to NHIS subscription for the poor, improve physical access to healthcare and improve sensitization efforts should be encouraged.

The Dilemma of Underutilized Health Insurance: A Matched Case-Control Study Investigating Reasons in Iran's Free Universal Health Insurance

Background

In May 2014, the Iranian government announced it would cover all uninsured Iranians. Despite free-of-charge insurance, the studies found that the coverage still needed to be completed (93%). This study aimed to understand why certain population groups remain without insurance despite the accessibility of free-of-charge coverage. This issue is not unique to Iran; it is prevalent in many other countries where, despite free coverage, not all individuals avail themselves of it, thereby exposing themselves to risks.

Methods

In a matched case-control study, 89 non-insured patients were compared with 178 hospital-based controls with health insurance (2:1). The samples were recruited at one of the leading public hospitals in the country (Imam Khomeini Hospital Complex in Tehran) in 2019. Two insured controls were selected and matched for age (± five years) and sex for each person without insurance. A conditional logistic regression was performed to assess the magnitude of effects and the goodness of fit test used to examine the model.

Results

Unemployment (Odds Ratio (OR)=8.33, 95% Confidence interval (CI): 1.05-50.0), being single (OR=3.69, CI: 1.18-11.55), low economic status (OR=1.85, CI: 1.02-3.33) and attitude towards performance of health insurance (OR=0.86, CI: 0.75-0.99) were affected not having health insurance.

Conclusion

Approaches that cover the entire population may struggle to ensure no one is left without needed services. There is a need for greater focus on vulnerable groups to achieve universal health coverage conscientiously. Moreover, improved services and education can positively shape public perceptions of insurance efficacy, affecting their enrollment choices.

The impact of health insurance enrollment on health outcomes in Kenya

BACKGROUND

The achievement of the global agenda on universal health coverage (UHC) is pivotal in ensuring healthy lives and promoting the well-being of all. However, achieving healthy lives and wellbeing of all has been hampered by the challenge of health care financing. As such, healthcare financing, through health insurance is gaining popularity in developing countries such as Kenya, in their pursuit to achieve universal health coverage. The primary purpose of health insurance and delivery is to improve health. However, there is a paucity of evidence on the effectiveness of health insurance in improving the health outcomes and health status of the Kenyan population. Therefore, this study aimed to analyze the impact of health insurance on health outcomes in Kenya.

METHODS

The study utilized the most recent nationally representative Kenya Integrated Household Budget Survey (KIHBS) 2015/16 dataset in order to analyze the impact of health insurance on health outcomes. The instrumental variable 2-stage least squares (IV 2SLS) and control function approach (CFA) estimation techniques were used to cater for potential endogeneity and heterogeneity biases present in ordinary least squares (OLS) estimators.

RESULTS

Health insurance enrolment leads to a reduction in mortality, thereby improving the health status of the Kenyan population, despite low levels of insurance uptake. However, the insured population experienced higher chronic illnesses and out-of-pocket (OOP) expenditures raising concerns about financial risk protection. The fact that health insurance is linked to chronic illnesses not only reinforces the reverse causality of health insurance and health status, but also that the effects of potential adverse selection strongly drive the strength and direction of this impact.

CONCLUSIONS

We conclude that health insurance enrolment reduces mortality and hence has a beneficial impact in promoting health. Health insurance coverage therefore, should be promoted through the restructuring of the National Hospital Insurance Fund (NHIF) fragmented schemes and by consolidating the different insurance schemes to serve different population groups more effectively and equitably. The government should revisit the implementation of a universal social health insurance scheme, as a necessary step towards UHC, while continuing to offer subsidies in the form of health insurance to the marginalized, vulnerable and poor populations.

Health insurance coverage among women of reproductive age in rural Ghana: policy and equity implications

BACKGROUND

Globally, health insurance has been identified as a key component of healthcare financing. The implementation of health insurance policies in low and middle-income countries has led to a significant increase in access to healthcare services in these countries. This study assessed health insurance coverage and its associated factors among women of reproductive age living in rural Ghana.

METHODS

This study used a nationally representative data from the 2017/2018 Ghana Multiple Indicator Cluster Survey (GMICS) and included 7340 rural women aged 15-49 years. Bivariate and multivariable logistic regression models were developed to assess the association between the explanatory and the outcome variable. Statistical significance was considered at p = 0.05.

RESULTS

The overall prevalence of health insurance coverage among rural women in Ghana was 51.9%. Women with secondary (aOR = 1.72, 95% CI: 1.38-2.14) and higher education (aOR = 4.57, 95% CI: 2.66-7.84) were more likely to have health insurance coverage than those who had no formal education. Women who frequently listened to radio (aOR = 1.146, 95% CI: 1.01-1.30) were more likely to have health insurance coverage than those who did not. Women who had a child (aOR = 1.81, 95% CI: 1.50-2.17), two children (aOR = 1.59, 95% CI: 1.27-1.98), three children (aOR = 1.41, 95% CI: 1.10-1.80), and five children (aOR = 1.36, 95% CI: 1.03-1.79) were more likely to have health insurance coverage than those who had not given birth. Women who were pregnant (aOR = 3.52, 95% CI: 2.83-4.38) at the time of the survey, and women within the richest households (aOR = 3.89, 95% CI: 2.97-5.10) were more likely to have health insurance coverage compared to their other counterparts. Women in the Volta region (aOR = 1.36, 95% CI: 1.02-1.81), Brong Ahafo region (aOR = 2.82, 95% CI: 2.20-3.60), Northern region (aOR = 1.32, 95% CI: 1.02-1.70), Upper East region (aOR = 2.13, 95% CI: 1.63-2.80) and Upper West region (aOR = 1.56, 95% CI: 1.20-2.03) were more likely to have health insurance coverage than those in the Western region.

CONCLUSION

Although more than half of women were covered by health insurance, a significant percentage of them were uninsured, highlighting the need for prompt policy actions to improve coverage levels for insurance. It was found that educational level, listening to radio, parity, pregnancy status, wealth quintile, and region of residence were factors associated with health insurance coverage. We recommend better targeting and prioritization of vulnerability in rural areas and initiate policies that improve literacy and community participation for insurance programs. Further studies to establish health policy measures and context specific barriers using experimental designs for health insurance enrolments are required.

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.

Confidence in the health system and health insurance enrollment among the informal sector population in Lusaka, Zambia

BACKGROUND

To improve equitable access to quality essential services and reduce financial hardship, low-and-middle-income countries are increasingly relying on prepayment strategies such as health insurance schemes. Among the informal sector population, confidence in the health system to provide effective treatment and trust in institutions can play an important role in health insurance enrollment. The objective of this study was to examine the extent to which confidence and trust affect enrollment into the recently introduced Zambia National Health insurance.

METHODS

We conducted a regionally representative cross-sectional household survey in Lusaka, Zambia collecting information on demographics, health expenditure, ratings of last health facility visit, health insurance status and confidence in the health system. We used multivariable logistic regression to assess the association between enrollment and confidence in the private and public health sector as well as trust in the government in general.

RESULTS

Of the 620 respondents interviewed, 70% were enrolled or planning to enroll in the health insurance. Only about one-fifth of respondents were very confident that they would receive effective care in the public health sector 'if they became sick tomorrow' while 48% were very confident in the private health sector. While confidence in the public system was only weakly associated with enrollment, confidence in the private health sector was strongly associated with enrollment (Adjusted odds ratio (AOR) 3.40 95% CI 1.73 - 6.68). No association was found between enrollment and trust in government or perceived government performance.

CONCLUSIONS

Our results suggest that confidence in the health system, particularly in the private health sector, is strongly associated with health insurance enrollment. Focusing on achieving high quality of care across all levels of the health system may be an effective strategy to increase enrollment in health insurance.

Determinants of national health insurance enrolment among people at risk of statelessness in the Awutu Senya East Municipality and Gomoa East District of Ghana

BACKGROUND

This paper investigates the factors influencing the decision to enrol in Ghana's National Health Insurance Scheme (NHIS) among people at risk of statelessness, with emphasis on the individual's demographic and socioeconomic factors.  METHODS: The study used data from a cross-sectional household survey undertaken in the Awutu Senya East Municipality and Gomoa East District of Ghana's Central Region between March 9 and June 26, 2021, on healthcare utilization culture among people at risk of statelessness. Descriptive statistics and binary logistic regression were used in analysing data from a sample of 384 people at risk of statelessness.  RESULTS: The results reveal that about 51% of the at-risk population have ever enrolled while 48% of the respondents were enrolled on the NHIS at the time of the survey (active members). The majority of the enrolled members acquired their membership through self-payment of the enrolment fee. Additionally, respondents aged 26-35 had higher odds of enrolling, whiles those within 56-65 years had lower odds of enrolling in health insurance. Also, persons who are married and have a high school education or an equivalent qualification were more likely to enrol, while persons with no employment were less likely to enrol.

CONCLUSION

According to the paper, while the gap in coverage between rich and poor, married and single appears to have narrowed, these factors continue to determine NHIS coverage among people at risk of statelessness. The same is true for education. Efforts must be increased to ensure equal access to healthcare financing interventions for better access to health services.

Effect of Health Insurance Uptake on Hesitancy toward COVID-19 Vaccines in Nigeria: A Recursive Bivariate Probit and Decomposition Estimation

Moral hazard remains one of the major challenges of health insurance administration. This paper recursively analyzed the effect of health insurance on the willingness to take COVID-19 vaccines in Nigeria. The data comprised 1892 unvaccinated respondents in the 2021/2022 National Longitudinal Phone Survey (NLPS). The data were analyzed with Coban's recursive probit regression and decomposition approaches. The results revealed that 5.87% were health insured, and 7.93% were willing to take COVID-19 vaccines. Health insurance uptake significantly increased (p < 0.05) with an adult being the decision-maker on vaccination, requiring family planning, and urban residence, while it reduced with loss of jobs and residence in the southeast and southwest zones. In addition, health insurance significantly (p < 0.01) increased the willingness to take COVID-19 vaccines, along with each adult, all adults, and households' heads being the major vaccination decision-makers, loss of jobs, and support for making COVID-19 vaccines compulsory. The average treatment effects (ATEs) and average treatment effect on the treated (ATET) of health insurance were significant (p < 0.01), with positive impacts on willingness to be vaccinated. It was concluded that policy reforms to promote access to health insurance would enhance COVID-19 vaccination in Nigeria. In addition, hesitancy toward COVID-19 vaccines can be reduced by targeting adults and household heads with adequate information, while health insurance uptake should target southern states and rural areas.

Enrollment of reproductive age women in community-based health insurance: An evidence from 2019 Mini Ethiopian Demographic and Health Survey

Background

Universal health coverage (UHC) is aimed at ensuring that everyone has access to high-quality healthcare without the risk of financial ruin. Community-based health insurance (CBHI) is one of the essential means to achieve the sustainable development goals (SDGs) global health priority of UHC. Thus, this study assessed health insurance enrollment and associated factors among reproductive age women in Ethiopia.

Methods

We computed the health insurance enrollment of reproductive-age women using secondary data from the recent Ethiopian Mini Demographic and Health Surveys (EMDHS) 2019. The EMDHS was a community-based cross-sectional study carried out in Ethiopia from March 21 to June 28, 2019. Cluster sampling with two stages was employed for the survey. The study comprised 8885 (weighted) reproductive-age women. STATA 14 was used for data processing and analysis. Bivariate and multivariable logistic regression analyses were conducted. Adjusted odds ratio (AOR) with 95% confidence interval (CI) was reported and statistical significance was set at a value of p < 0.05.

Results

Of the 8,885 study participants, 3,835 (43.2, 95% CI; 42.1, 44.2%) of women had health insurance. Women aged 20-24 years, 25-29 years, and 30-34 years less likely to enroll in health insurance compared to their younger counterparts (15-19 years). Women living in rural areas, had greater than five family sizes, living with a female household head, and having more than five living children were negatively associated with enrollment in health insurance. Besides, health insurance enrollment among reproductive-age women is significantly affected by region and religious variation.

Conclusion

The overall CBHI enrolment among reproductive-age women in Ethiopia was low. To achieve the SDGs of reducing maternal mortality ratio and neonatal mortality, improving reproductive-age women's access to health insurance is essential. The national, regional, and local officals, policymakers, NGOs, program planners, and other supporting organizations working on improving health insurance enrollment of reproductive age women need to create awareness and support them based on these significant factors.

Poverty, education and health insurance coverage among women of reproductive ages in the Democratic Republic of the Congo: a cross-sectional and multilevel analysis

OBJECTIVE

To investigate inequalities of health insurance coverage (outcome) at subnational level, and the effects of education and poverty on the outcome.

DESIGN

Secondary analysis of Demographic and Health Surveys. The outcome variable was health insurance ownership.

SETTING

The Democratic Republic of the Congo.

SUBJECTS

Women aged 15-49 years (n=18 827).

RESULTS

Findings indicated significant spatial variations of the health insurance ownership which ranged from 1.2% in Bandundu and Kasaï Oriental to 15.5% in Kinshasa the Capital City. Furthermore, findings showed that an additional year of women education increased by 10% the chance of health insurance ownership (adjusted OR, AOR 1.098; 95% CI 1.065 to 1.132). Finally, living in better-off households increased by 150% the chance of owing a health insurance (AOR 2.501; 95% CI 1.620 to 3.860) compared with women living in poor households.

CONCLUSIONS

Given the low levels of health insurance coverage, the Democratic Republic of the Congo will not reach the Sustainable Development Goal 3, aimed at improving maternal and child health unless a serious programmatic health shift is undertaken in the country to tackle inequalities among poor and uneducated women via universal health coverage.

Women empowerment and health insurance utilisation in Rwanda: a nationwide cross-sectional survey

Background

Health insurance coverage is one of the several measures being implemented to reduce the inequity in access to quality health services among vulnerable groups. Although women’s empowerment has been viewed as a cost-effective strategy for the reduction of maternal and child morbidity and mortality, as it enables women to tackle the barriers to accessing healthcare, its association with health insurance usage has been barely investigated. Our study aims at examining the prevalence of health insurance utilisation and its association with women empowerment as well as other socio-demographic factors among Rwandan women.

Methods

We used Rwanda Demographic and Health Survey (RDHS) 2020 data of 14,634 women aged 15–49 years, who were selected using multistage sampling. Health insurance utilisation, the outcome variable was a binary response (yes/no), while women empowerment was assessed by four composite indicators; exposure to mass media, decision making, economic and sexual empowerment. We conducted multivariable logistic regression to explore its association with socio-demographic factors, using SPSS (version 25).

Results

Out of the 14,634 women, 12,095 (82.6%) (95% CI 82.0–83.2) had health insurance, and the majority (77.2%) were covered by mutual/community organization insurance. Women empowerment indicators had a negative association with health insurance utilisation; low (AOR = 0.85, 95% CI 0.73–0.98) and high (AOR = 0.66, 95% CI 0.52–0.85) exposure to mass media, high decision making (AOR = 0.78, 95% CI 0.68–0.91) and high economic empowerment (AOR = 0.63, 95% CI 0.51–0.78). Other socio-demographic factors found significant include; educational level, wealth index, and household size which had a negative association, but residence and region with a positive association.

Conclusions

A high proportion of Rwandan women had health insurance, but it was negatively associated with women’s empowerment. Therefore, tailoring mass-media material considering the specific knowledge gaps to addressing misinformation, as well as addressing regional imbalance by improving women’s access to health facilities/services are key in increasing coverage of health insurance among women in Rwanda.

Factors Associated with National Health Insurance Coverage in Indonesia

Background: The National Health Insurance (NHI) program is the Indonesian government's national health program. However, health insurance coverage has not been maximized. This study aims to analyze the factors associated with health insurance coverage in Indonesia.   Methods: Retrospective cross-sectional data were obtained from the Indonesian Demographic and Health Survey 2017. A total of 39,580 respondents were selected using two-stage stratified cluster sampling. The data come from the DHS Questionnaire Phase 7. In this study, we explored age, education level, wealth quintiles, residence, the number of children who are alive, marital status, current employment status, earnings, and health insurance status in relation to health insurance coverage. Then, we analyzed the data using chi-squared and binary logistic analyses.   Results: The prevalence of health insurance coverage in the Indonesian population is 62.3%. Respondent aged 15-24 years [AOR=0.88; 95% CI=0.77-1.00], secondary education level [AOR=0.44; 95% CI=0.41-0.47], poorer wealth index [AOR=0.76; 95% CI=0.71-0.82], live in rural area [AOR=0.78; 95% CI=0.75-0.82], divorced [AOR=0.72; 95% CI=0.63-0.83] were less likelihood to have health insurance. Conversely, the respondent who received earnings [AOR=1.25; 95% CI=1.18-1.32] was more likely to have health insurance.  Conclusion: This finding pointed to education level, economic status, and demographic area such as respondents who lived in rural areas should more pay attention to NHI. Intervention through the provision of appropriate information about NHI should be promoted.

Predictors of Community-Based Health Insurance in Ethiopia via Multilevel Mixed-Effects Modelling: Evidence from the 2019 Ethiopia Mini Demography and Health Survey

Background

The World Health Organization has endorsed a community-based health insurance scheme (CBHIS) as a shared financing plan to improve access to health services and ensure universal coverage of the healthcare delivery system. Such a contributory scheme is the most likely option to provide health insurance coverage when governments cannot offer direct health care support. Despite improvements in access to current healthcare services, Ethiopia’s healthcare delivery remained low, owing to the country’s underdeveloped healthcare finance system. As a result, the present study assessed CBHIS coverage and its predictors in Ethiopia at the individual and community level.

Methods

The availability of CBHIS was checked via a criterion: at least one of the cluster respondents had to be enrolled in CBHIS. This study was based on secondary data from the Ethiopia Mini Demography and Health Survey (EMDHS) 2019 and included 7724 respondents. The study population was described using percentage and frequency. Four multilevel mixed-effects logistic regression modelling stages were performed to control for variations due to heterogeneity across clusters, and determinant predictors of CBHIS enrollment were outplayed.

Results

The prevalence of CBHIS enrollment in Ethiopia was 33.13%. Rural residents were 3.218 times (AOR = 3.218; 95% CI: 1.521, 6.809), male household heads were 1.574 times (AOR = 1.574, 95% CI: 1.105, 2.241), getting funds from the safety net program were times 2.062 (AOR = 2.062, 95% CI: 1.297, 3.279), attending the primary educational level was 1.686 times (AOR = 1.686, 95% CI: 1.007, 2.821), bank accounts were 1.373 times (AOR = 1.373, 95% CI: 1.052, 1.792), and wealth index was 1.356 times (AOR = 1.356, 95% CI: 1.001, 1.838) more likely associated with CBHIS coverage, whereas the regions, the other religions, and women aged 20–24 had lower odds of CBHIS coverage.

Conclusion

In Ethiopia, regional healthcare expenditure per capital, religious affiliation, women age range, residents, sex of household head, funds from the safety net program, formal educational level, and having bank accounts were associated with community-based health insurance scheme coverage.

Spatial distribution and associated factors of community based health insurance coverage in Ethiopia: further analysis of Ethiopian demography and health survey, 2019

Background

Community-Based Health Insurance is an emerging concept for providing financial protection against the cost of illness and improving access to quality health services for low-income households excluded from formal insurance and taken as a soft option by many countries. Therefore, exploring the spatial distribution of health insurance is crucial to prioritizing and designing targeted intervention policies in the country.

Methods

A total of 8,663 households aged 15–95 years old were included in this study. The Bernoulli model was used by applying Kulldorff methods using the SaTScan software to analyze the purely spatial clusters of community based health insurance. ArcGIS version 10.3 was used to visualize the distribution of community-based health insurance coverage across the country. Mixed-effect logistic regression analysis was also used to identify predictors of community-based health insurance coverage.

Results

Community based health insurance coverage among households had spatial variations across the country by regions (Moran’s I: 0.252, p < 0.0001). Community based health insurance in Amhara (p < 0.0001) and Tigray (p < 0.0001) regions clustered spatially. Age from 15–29 and 30–39 years (Adjusted Odds Ratio 0.46(AOR = 0.46, CI: 0.36,0.60) and 0.77(AOR = 0.77, CI: 0.63,0.96), primary education level 1.57(AOR = 1.57, CI: 1.15,2.15), wealth index of middle and richer (1.71(AOR = 1.71, CI: 1.30,2.24) and 1.79(AOR = 1.79, CI: 1.34,2.41), family size > 5, 0.82(AOR = 0.82, CI: 0.69,0.96),respectively and regions Afar, Oromia, Somali, Benishangul Gumuz, SNNPR, Gambella, Harari, Addis Ababa and Dire Dawa was 0.002(AOR = 0.002, CI: 0.006,0.04), 0.11(AOR = 0.11, CI: 0.06,0.21) 0.02(AOR = 0.02, CI: 0.007,0.04), 0.04(AOR = 0.04, CI: 0.02,0.08), 0.09(AOR = 0.09, CI: 0.05,0.18),0.004(AOR = 0.004,CI:0.02,0.08),0.06(AOR = 0.06,CI:0.03,0.14), 0.07(AOR = 0.07, CI: 0.03,0.16) and 0.03(AOR = 0.03, CI: 0.02,0.07) times less likely utilize community based health insurance than the Amhara region respectively in Ethiopia.

Conclusion

Community based health insurance coverage among households in Ethiopia was found very low still. The government needs to develop consistent financial and technical support and create awareness for regions with lower health insurance coverage.

Hygienic Child Feces Disposal Practice and Its Associated Factors among Mothers/Caregivers of Under Five Children in West Armachiho District, Northwest Ethiopia

BACKGROUND

Children's feces are 5 times more dangerous than that of adults. Unhygienic disposal of child feces has been reported as one of the major sanitation problems in Sub-Saharan African countries. However, there is a scanty of information in the study area and evidences are insufficient in Ethiopia. Therefore, this study intends to assess child feces disposal practices and associated factors among Mothers/Caregivers of Under Five Children in West Armachiho District, Northwest Ethiopia.

METHODS

A community-based cross-sectional study was conducted in the West Armachho district from March 10, 2019 to April 10, 2019 by using a multistage cluster sampling method. Binary and multivariable logistic regression models were employed to identify factors associated to child faces disposal practice. The adjusted odds ratio with a 95% confidence interval and a P-value of ⩽.05 were used to declare statistical significance.

RESULT

The proportion of safe child feces disposal practice was 37.8% (95% CI: 34.6-40.89). Child feces disposal practice was significantly associated with the age of the child (AOR = 5.07, 95% CI: 2.52-10.21), the educational status of fathers (AOR = 2.34, 95% CI: 1.05-5.25), getting health education (AOR = 2.77, 95% CI: 1.84-4.16), utilization of basic type of latrine (AOR = 2.79, 95% CI: 1.55-5.02), knowledge of feces disposal technology options (AOR = 2.58, 95% CI: 1.88-3.96), and media exposure about child feces (AOR = 1.88, 95% CI: 1.22-2.99).

CONCLUSION

The practice of safe CFD was low. Age of the child, fathers' educational status, receiving health education, basic type of latrine, feces disposal technology options used, and media exposure were independent predictors of safe CFD practice. Interventions need to be designed targeting safe CFD practices taking into account different media outlets and advocacy of improved sanitation technology use by policy makers.

Factors associated with health insurance ownership among women of reproductive age: A multicountry study in sub-Saharan Africa

Background

Promoting the coverage and ownership of health insurance constitutes a key strategy to achieving universal healthcare, thereby meeting the Sustainable Development Goal (SDG 3.8) of safeguarding the vulnerable population from financial risk resulting from catastrophic health expenditures. In sub-Saharan Africa, accessing medical services is particularly challenging among women due to inadequate opportunities for socio-economic empowerment and meeting their unique healthcare needs. The present study aimed to explore the sociodemographic factors associated with health insurance ownership among women in selected countries in sub-Saharan Africa.

Methods

We extracted cross-sectional data on health insurance ownership and conceptually relevant sociodemographic variables on women aged 15–49 years from Demographic and Health Surveys on five selected countries in sub-Saharan Africa (n = 55,438), including Burkina Faso, DR Congo, Cameroon, Gabon and Kenya. Data were analyzed using descriptive and multivariate regression analysis, and the associations were reported in terms of average marginal effects.

Results

Data revealed considerable cross-country variation in health insurance ownership: Gabon (57.9%), Kenya (6.1%), DR Congo (2.8%), Cameroon (1.1%), Burkina Faso (0.4%). In the multivariate regression analysis, women’s age, marital status, place of residency, educational level, household wealth status, employment, and media access were significant predictors of insurance ownership. The associations were generally similar across the five countries, with higher age, better educational level and wealth status showing a consistently positive relationship with insurance ownership.

Conclusion

Our findings revealed striking inequality in health insurance ownership among the studied countries, which should be given due attention to achieving universal healthcare-related goals. There also exist considerable sociodemographic disparities in health insurance ownership among women that should be addressed using context-specific programmatic interventions. Our findings revealed striking inequality in health insurance ownership among the studied countries, which should be given due attention to achieving universal healthcare-related goals. There also exist considerable sociodemographic disparities in health insurance ownership among women that should be addressed using context-specific programmatic interventions.

Willingness to join community based health insurance among households in South Wollo, Northeast Ethiopia: A community-based cross-sectional study

BACKGROUND

Poor health care financing remains a major challenge to health service utilization among the lower socioeconomic society. Consequently, countries have designed different health insurance programs to overcome financial barriers against health services utilization. Similarly, Ethiopia has been implementing community-based health insurance programs since 2011 to improve health care financing system. However, only a small number of people are enrolled which might be attributed to lack of willingness towards the program and the reasons for this remained under reported. This study was intended to examine willingness to join the community-based health insurance program and its associated factors in South Wollo, Northeast Ethiopia.

METHOD

A community-based cross-sectional study was conducted among 421 households. A multistage systematic random sampling technique was employed to recruit the study households. Data were entered into EpiData version 3.1 and was exported into SPSS version 24.0 for analysis. Bivariable and multivariable logistic regression analysis with a backward elimination method was performed to identify the determinants of willingness to join community-based health insurance. Finally, a statistically significant level was declared at a p-value of less than 0.05.

RESULTS

Two hundred and ninety-three [73.6% (95%CI:68.8%-77.9%)] households were willing to join community-based health insurance programs. Being male headed household (AOR:0.2, 95%CI: 0.07-0.58), being a member of Idir (AOR:0.46, 95%CI: 0.25-.84), absence of chronic illness in the household (AOR: 0.31, 95%CI: 0.13-0.77), and family size < 4 (AOR: 0.18, 95% CI:0.08-0.41) were barriers to join community-based health insurance program whereas rural residency (AOR:1.9, 95% CI: 1.09-3.32), perceived quality health services (AOR:2.96, 95%CI:1.4-6.24), and having positive attitude (AOR:4.1, 95%CI:2.32-7.22) and good knowledge to programs (AOR:2.62, 95%CI:1.43-4.8) were enabling factors.

CONCLUSION

Nearly three-fourths of the households were willing to join community-based health insurance programs. However, different household and health service-related factors affected their willingness. The ministry of health with the regional and woreda health offices should work towards improving the quality of health services, conduct program advocacy and community sensitization towards the program, and build trust with the community.

Factors Associated With Coverage of Health Insurance Among Women in Malawi

Introduction

Access to healthcare for the vulnerable groups including women has long been a theme encouraged worldwide from the first general assembly on health to the current sustainable development goals. Despite many countries having a free public healthcare system, there are inequalities in access to care and significant out-of-pocket spending, pushing most women into poverty against the principles of universal health coverage. Coverage of Malawian women with health insurance is poor; thus, there is limited cushioning and high risk of poverty, as women bear costs of care as primary caregivers. There is need to explore determinants of coverage of health insurance among women in Malawi to inform health policy.

Methodology

This study was quantitative in nature, using cross-sectional secondary data from the 2015 to 2016 Malawi Demographic and Health Survey involving women aged between 15 and 49 years. We assessed factors associated with insurance coverage by comparing women with and without insurance schemes using binary logistic regression. Analysis was done using STATA statistical package version 13.

Results

The analysis included a total of 24,562 women with a mean age of 28 SD (9.3). Of these cases, 1.5% had health insurance. High education attainment, occupation, and wealth were significantly associated with health insurance ownership, with all having p-values of < 0.01. On the other hand, a woman's residence, marital status, and who heads a household were not associated with ownership of health insurance significantly.

Conclusion

Education, occupation, and wealth have a key role in influencing a woman's choice in owning health insurance. This informs policymakers and health insurance providers on how best to approach women's health financing and factors to target in social security programs and health insurance products that speak to women's needs and capacity.

Predictors of health insurance enrolment and wealth-related inequality in Nepal: evidence from Multiple Indicator Cluster Survey (MICS) 2019

OBJECTIVES

We analysed predictors of health insurance enrolment in Nepal, measured wealth-related inequality and decomposed inequality into its contributing factors.

DESIGN

Cross-sectional study.

SETTING

We used nationally representative data based on Nepal Multiple Indicator Cluster Survey 2019. Out of 10 958 households included in this study, 6.95% households were enroled in at least one health insurance scheme.

PRIMARY OUTCOME

measures health insurance (of any type) enrolment.

RESULTS

Households were more likely to have health insurance membership when household head have higher secondary education or above compared with households without formal education (adjusted OR 1.87; 95% CI: 1.32 to 2.64)). Households with mass media exposure were nearly three times more likely to get enroled into the schemes compared with their counterparts (adjusted OR 2.96; 95% CI 2.03 to 4.31). Hindus had greater odds of being enroled (adjusted OR 1.82; 95% CI 1.20 to 2.77) compared with non-Hindus. Dalits were less likely to get enroled compared with Brahmin, Chhetri and Madhesi (adjusted OR 0.66; 95% CI 0.47 to 0.94). Households from province 2, Bagmati and Sudurpaschim were less likely to have membership compared with households from province 1. Households from Richer and Richest wealth quintiles were more than two times more likely to have health insurance membership compared with households from the poorest wealth quintile. A positive concentration index 0.25 (95% CI 0.21 to 0.30; p<0.001) indicated disproportionately higher health insurance enrolment among wealthy households.

CONCLUSIONS

Education of household head, exposure to mass media, religious and ethnic background, geographical location (province) and wealth status were key predictors of health insurance enrolment in Nepal. There was a significant wealth-related inequality in health insurance affiliation. The study recommends regular monitoring of inequality in health insurance enrolment across demographic and socioeconomic groups to ensure progress towards Universal Health Coverage.

Sociodemographic Inequalities in Health Insurance Ownership among Women in Selected Francophone Countries in Sub-Saharan Africa

In sub-Saharan Africa, improving equitable access to healthcare remains a major challenge for public health systems. Health policymakers encourage the adoption of health insurance schemes to promote universal healthcare. Nonetheless, progress towards this goal remains suboptimal due to inequalities health insurance ownership especially among women. In this study, we aimed to explore the sociodemographic factors contributing to health insurance ownership among women in selected francophone countries in sub-Saharan Africa. Methods. This study is based on cross-sectional data obtained from Demographic and Health Surveys on five countries including Benin (n = 13,407), Madagascar (n = 12,448), Mali (n = 10,326), Niger (n = 12,558), and Togo (n = 6,979). The explanatory factors included participant age, marital status, type of residency, education, household wealth quantile, employment stats, and access to electronic media. Associations between health insurance ownership and the explanatory factors were analyzed using multivariate regression analysis, and effect sizes were reported in terms in average marginal effects (AMEs). Results. The highest percentage of insurance ownership was observed for Togo (3.31%), followed by Madagascar (2.23%) and Mali (2.2%). After stratifying by place of residency, the percentages were found to be significantly lower in the rural areas for all countries, with the most noticeable difference observed for Niger (7.73% in urban vs. 0.54% in rural women). Higher levels of education and wealth quantile were positively associated with insurance ownership in all five countries. In the pooled sample, women in the higher education category had higher likelihood of having an insurance: Benin (AME = 1.18; 95% CI = 1.10, 1.27), Madagascar (AME = 1.10; 95% CI = 1.05, 1.15), Mali (AME = 1.14; 95% CI = 1.04, 1.24), Niger (AME = 1.13; 95% CI = 1.07, 1.21), and Togo (AME = 1.17; 95% CI = 1.09, 1.26). Regarding wealth status, women from the households in the highest wealth quantile had 4% higher likelihood of having insurance in Benin and Mali and 6% higher likelihood in Madagascar and Togo. Conclusions. Percentage of women who reported having health insurance was noticeably low in all five countries. As indicated by the multivariate analyses, the actual situation is likely to be even worse due to significant socioeconomic inequalities in the distribution of women having an insurance plan. Increasing women's access to healthcare is an urgent priority for population health promotion in these countries, and therefore, addressing the entrenched sociodemographic disparities should be given urgent policy attention in an effort to strengthen universal healthcare-related goals.

Health Insurance Coverage and Its Associated Factors Among Reproductive-Age Women in East Africa: A Multilevel Mixed-Effects Generalized Linear Model

Background

Despite improvement in access to modern healthcare services in East African countries, health-service delivery and health status of the population remained poor mainly due to the weak health-sector financing system. Therefore, the current study aimed to assess the health insurance coverage and its associated factors among reproductive-age group (RAG) women in East Africa.

Methods

The most recent (between 2010 and 2018) Demographic and Health Surveys (DHS) data of the ten East African countries (Burundi, Comoros, Ethiopia, Kenya, Malawi, Mozambique, Tanzania, Uganda, Zambia, and Zimbabwe) were included. STATA version 16.0 statistical software was used for data processing and analysis. In the multilevel mixed-effects generalized linear model, variables with a p-value ≤0.05 were declared as significant associated factors of health insurance coverage.

Results

The overall health insurance coverage in East Africa was 7.56% (95% CI: 7.42%, 7.77%). The odds of health insurance coverage were high among educated, currently working, and rich RAG women whereas it was low among rural residents. Besides, RAG women who have media exposure, visited by field workers, and visited health facilities have a higher chance of health insurance coverage.

Conclusion

Health insurance coverage in East Africa among RAG women was below ten percent. Educational status, working status, place of residence, wealth index, media exposure, visiting health facility within 12 months and being visited by field worker were significantly associated with health insurance coverage among RAG women in East Africa. Improving women’s access to health facilities, promoting field workers’ visit, and media exposure targeting uneducated, unemployed, and rural resident women of RAG will be a gateway to promote health insurance coverage.

Factors Influencing Nonrenewal of Health Insurance Membership in Ejisu-Juaben Municipality of Ashanti Region, Ghana

Background. In the quest to prevent households from making catastrophic expenditures at the point of seeking healthcare, the government of Ghana introduced the National Health Insurance in 2003. However, people are reluctant to renew their membership. This study was, therefore, conducted to identify factors influencing the nonrenewal of National Health Insurance membership in the Ejisu-Juaben Municipality. Methods. A cross-sectional study was conducted among 427 respondents in the Ejisu-Juaben Municipality to ascertain factors influencing the nonrenewal of health insurance membership status. Data were entered and analyzed using Stata version 14. Univariate and multivariate analyses were performed to determine sociodemographic factors, household factors, and systemic factors influencing the nonrenewal of health insurance status. Statistical significance for all testing was set as $p\le 0.05$ . Results. Sociodemographic factors such as gender (AOR = 0.531; CI = 0.287–0.985) and educational level (AOR = 5.268; CI = 1.130–24.551)) were associated with the nonrenewal of health insurance membership. Income levels in Ghana Cedis were 500–1000 (AOR = 0.216; CI = 0.075–0.617) and 1001–2000 (AOR = 0.085; CI = 0.019–0.383). Systemic decision on factors such as clients’ satisfaction (AOR = 0.149; CI = 0.035–0.640), making copayment (AOR = 0.152; CI = 0,068–0.344), acquiring all prescribed drugs (AOR = 4.191; CI = 2.027–8.668), and awareness of mobile renewal (AOR = 3.139; CI = 1.462–6.739) was associated with nonrenewal of membership. Conclusions. The nonrenewal of health insurance membership was influenced by sociodemographic, household, and systemic factors. Therefore, the Municipal Health Directorate and the National Health Insurance Authority have to work on these factors to reach the target of 100% active coverage in the municipality.

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

The goal of Ghana's health insurance scheme is to achieve universal coverage. Despite NHIS' benefits to children, not all children in Ghana are covered. This study investigates the sociodemographic covariates of nonenrolment onto the national health insurance scheme among children in Ghana. We used the child dataset of the 2017/18 Ghana Multiple Indicator Cluster Survey (G-MICS). We used STATA version 14 for the data analyses. We described each study variable using frequency and percentages. We used Poisson regression to estimate crude and adjusted prevalence ratios of the relationship between the covariates and the outcome variable. Approximately 57% of children were covered with health insurance in Ghana. In the adjusted multivariable model, male children, children within the ages of 10-14 or 15-17 years, and children who have some form of functional disability and those with no information on their functional disability status, children of mothers with lower than post-secondary education, and children residing in households of less than the fifth quantile on the household wealth index were associated with a higher likelihood of nonenrolment onto the national health insurance scheme. Finally, compared to the children in greater Accra, children in the other nine regions were associated with a lower likelihood of nonenrolment onto the national health insurance scheme. Given the results, improvement in health insurance coverage should be done, taking into consideration variations across the socio-demographic characteristics of the child, mother, and households.

Analysis of independent National Health Insurance ownership of informal workers: Study of market traders in Gowa District, Indonesia

OBJECTIVE

This study aimed to determine the factors associated with ownership of independent National Health Insurance (NHI) in market traders, Gowa District, Indonesia.

METHOD

This type of research was quantitative with a cross-sectional design. The population was 567 traders. Samples were 85 respondents: data collection using questionnaires, and data processing with Chi-square test analysis.

RESULT

The results indicated that 43 (50.6%) respondents had NHI, and 42 (49.45%) respondents did not. Based on the results obtained bivariate analysis knowledge (p=0.003), income (p=0.039), attitude (p=0.000), social support (p=0.000), age (p=1.000), education (p=0.311), perception (p=0.234) and access to care (p=0.336).

CONCLUSION

Factors related to the ownership of independent NHI traders in the Central Public Market Gowa were knowledge, income, attitude, and social support. It is recommended that market managers include traders in health insurance and the government improve the quality of the NHI program and increase socialization to informal sector traders.

Mixed effects analysis of factors associated with health insurance coverage among women in sub-Saharan Africa

INTRODUCTION

In the pursuit of achieving the Sustainable Development Goal targets of universal health coverage and reducing maternal mortality, many countries in sub-Saharan Africa have implemented health insurance policies over the last two decades. Given that there is a paucity of empirical literature at the sub-regional level, we examined the prevalence and factors associated with health insurance coverage among women in in sub-Saharan Africa.

MATERIALS AND METHODS

We analysed cross-sectional data of 307,611 reproductive-aged women from the most recent demographic and health surveys of 24 sub-Saharan African countries. Bivariable and multivariable analyses were performed using chi-square test of independence and multi-level logistic regression respectively. Results are presented as adjusted Odds Ratios (aOR) for the multilevel logistic regression analysis. Statistical significance was set at p<0.05.

RESULTS

The overall coverage of health insurance was 8.5%, with cross-country variations. The lowest coverage was recorded in Chad (0.9%) and the highest in Ghana (62.4%). Individual-level factors significantly associated with health insurance coverage included age, place of residence, level of formal education, frequency of reading newspaper/magazine and watching television. Wealth status and place of residence were the contextual factors significantly associated with health insurance coverage. Women with no formal education were 78% less likely to be covered by health insurance (aOR = 0.22, 95% CI = 0.21-0.24), compared with those who had higher education. Urban women, however, had higher odds of being covered by health insurance, compared with those in the rural areas [aOR = 1.20, 95%CI = 1.15-1.25].

CONCLUSION

We found an overall relatively low prevalence of health insurance coverage among women of reproductive age in sub-Saharan Africa. As sub-Saharan African countries work toward achieving the Sustainable Development Goal targets of universal health coverage and lowering maternal mortality to less than 70 deaths per 100,000 live births, it is important that countries with low coverage of health insurance among women of reproductive age integrate measures such as free maternal healthcare into their respective development plans. Interventions aimed at expanding health insurance coverage should be directed at younger women of reproductive age, rural women, and women who do not read newspapers/magazines or watch television.

Determinants of health insurance ownership in Jordan: a cross-sectional study of population and family health survey 2017-2018

OBJECTIVES

With about one-third of the population living below the poverty line, Jordan faces major healthcare, social and national development issues. Low insurance coverage among the poor and high out-of-pocket expenditure worsens the financial insecurity especially for the marginalised population. The Government of Jordan aims to achieve universal coverage of health insurance-a bold plan that requires research evidence for successful implementation. In this study, we aimed to assess the proportion of the population covered by any health insurance, and the determinants owing a health insurance.

DESIGN

A population-based prospective cohort study.

SETTING

Jordan.

METHODS

Data for this study were derived from the Jordan Population and Family Health Survey, which was implemented by the Department of Statistics from early October 2017 to January 2018. Sample characteristics were described as percentages with 95% CIs. Binary logistic regression models were used to estimate OR of health insurance ownership. Parsimonious model was employed to assess the sex and geographical differences.

RESULTS

Data revealed that in 2017-2018, 73.13% of the 12 992 men and women had health insurance. There was no indication of age of sex difference in health insurance ownership; however, marital status and socioeconomic factors such as wealth and education as well as internet access and geographical location appeared to be the important predictors of non-use of health insurance. The associations differed by sex and urbanicity for certain variables. Addressing these inequities may help achieve universal coverage in health insurance ownership in the population.

CONCLUSIONS

More than one-quarter of the population in Jordan were not insured. Efforts to decrease disparities in insurance coverage should focus on minimising socioeconomic and geographical disparities to promote equity in terms of healthcare services.

Do the determinants of institutional delivery among childbearing women differ by health insurance enrolment? Findings from a population-based study in Nigeria

Studies in Nigeria have identified several individual and contextual determinants of institutional delivery among childbearing women. However, it is not clear in literature whether these determinants are peculiar to women who enrolled or do not enrolled in health insurance schemes. This study compares the determinants of institutional delivery among childbearing women who either enrolled or do not enrolled in health insurance schemes in Nigeria. The study was based on women's data from the 2018 Nigeria Demographic and Health Survey. A weighted sample size of 17,465 women was analysed. Stata 14 was used to perform data analysis. Three binary logistic regression models were estimated. Results show higher prevalence of institutional delivery among women who enrolled in health insurance (39.3% vs. 70.5%). Result further reveal differences in the determinants of institutional delivery among the women with sex of head of household (adjusted odds ratio [AOR] = 1.340, p < 0.05; 95% CI: 1.121-1.602), type of marriage (AOR = 0.817, p < 0.05; 95% CI: 0.727-0.918) and status of most recent delivery (AOR = 0.703, p < 0.001; 95% 95% CI: 0.631-0.781) showing significance among women not enrolled in health insurance but insignificant among women enrolled in health insurance. Differences in determinants of institutional delivery among the women may be attributed to differences in their socio-demographic condition.

METHODS OF PAYMENT FOR HEALTH CARE AND PERCEPTION OF A PREPAYMENT SCHEME AMONG AUTO-TECHNICIANS IN ABUJA, NIGERIA

BACKGROUND

The National Health Insurance Scheme (NHIS) in Nigeria has succeeded in enrolling only a minute fraction of the population. Studies on the scheme among informal sector employees are required to plan a scale up of the programme in this group which represents the majority of the working population in the country.

OBJECTIVE

This study sought to assess the method of payment for health care, awareness of and the perception about the NHIS among auto-technicians in Abuja, Nigeria.

METHODS

A cross-sectional descriptive survey was conducted among auto-technicians in Abuja Municipal Area Council (AMAC), Nigeria. Data was collected using interviewer-administered questionnaire, and analyzed with SPSS version 17.

RESULTS

A total of 351 auto-technicians and allied workers participated in the study. Post-secondary education [(Odds Ratio (OR) = 7.78, 95% CI = 1.61 - 37.54, p = 0.01)] and having a spouse who is gainfully employed [(OR = 3.67, 95% CI = 1.04-12.93)] predicted awareness of the NHIS. Older people above forty years of age were significantly less likely to be aware of the NHIS, (OR = 0.27, 95% CI = 0.08 - 0.92, p = 0.036).

CONCLUSION

Despite the glaring need and willingness of the participants to enroll in a prepayment scheme for health, workers in the informal sector of the economy may remain unreached by NHIS due to lack of awareness and skepticism. Strategic steps to remove ignorance and dispel doubts is imperative for scale up of the NHIS in the informal sector.

Bridging the gap with a gender lens: How two implementation research datasets were repurposed to inform health policy reform in Kenya

Policies as they are written often mask the power relations behind their creation (Hull, 2008). As a result, not only are policies that appear neat on the page frequently messy in their implementation on the ground, but the messiness of implementation, and implementation science, often brings these hidden power relations to light. In this paper, we examine the process by which different data sources were generated within a programme meant to increase access to quality private healthcare for the poorest populations in Kenya, how these sources were brought and analyzed together to examine gender bias in the large-scale rollout of Kenya's National Hospital Insurance Fund (NHIF) beyond public hospitals and civil service employees, and how these findings ultimately were developed in real time to feed into the NHIF reform process. We point to the ways in which data generated for implementation science purposes and without a specific focus on gender were analyzed with a policy implementation analysis lens to look at gender issues at the policy level, and pay particular attention to the role that the ongoing close partnership between the evaluators and implementers played in allowing the teams to develop and turn findings around on short timelines. In conclusion, we discuss possibilities for programme evaluators and implementers to generate new data and feed routine monitoring data into policy reform processes to create a health policy environment that serves patients more effectively and equitably. Implementation science is generally focused on programmatic improvement; the experiences in Kenya make clear that it can, and should, also be considered for policy improvement.

Access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya

Background

Access to primary healthcare is crucial for the delivery of Kenya’s universal health coverage policy. However, disparities in healthcare have proved to be the biggest challenge for implementing primary care in poor-urban resource settings. In this study, we assessed the level of access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya.

Methods

The data were drawn from the Lown scholars’ study of 300 randomly selected households in Viwandani slums (Nairobi, Kenya), between June and July 2018. Access to primary care was measured using Penchansky and Thomas’ model. Access index was constructed using principal component analysis and recorded into tertiles with categories labeled as poor, moderate, and highest. Generalized ordinal logistic regression analysis was used to determine the factors associated with access to primary care. The adjusted odds ratios (AOR) and 95% confidence intervals were used to interpret the strength of associations.

Results

The odds of being in the highest access tertile versus the combined categories of lowest and moderate access tertile were three times higher for males than female-headed households (AOR 3.05 [95% CI 1.47–6.37]; p < .05). Households with an average quarterly out-of-pocket healthcare expenditure of ≥USD 30 had significantly lower odds of being in the highest versus combined categories of lowest and moderate access tertile compared to those spending ≤ USD 5 (AOR 0.36 [95% CI 0.18–0.74]; p < .05). Households that sought primary care from private facilities had significantly higher odds of being in the highest versus combined categories of lowest and moderate access tertiles compared to those who sought care from public facilities (AOR 6.64 [95% CI 3.67–12.01]; p < .001).

Conclusion

In Nairobi slums in Kenya, living in a female-headed household, seeking care from a public facility, and paying out-of-pocket for healthcare are significantly associated with low access to primary care. Therefore, the design of the UHC program in this setting should prioritize quality improvement in public health facilities and focus on policies that encourage economic empowerment of female-headed households to improve access to primary healthcare.

Seeking care in the context of social health insurance in Kenya and Ghana

BACKGROUND

Social Health Insurance (SHI) is widely used by countries attempting to move toward Universal Health Coverage (UHC). While evidence suggests that SHI is a promising strategy for achieving UHC, low-income countries often struggle to implement and sustain SHI systems. It is therefore important to understand how SHI enrollees use health insurance and how it affects their health-seeking behavior. This paper examines how SHI affects patient decision-making regarding when and where to seek care in Kenya and Ghana, two countries with established SHI systems in sub-Saharan Africa.

METHODS

This paper draws from two datasets collected under the African Health Markets for Equity (AHME) program. One dataset, collected in 2013 and 2017 as part of the AHME qualitative evaluation, consists of 106 semi-structured clinic exit interviews conducted with patients in Ghana and Kenya. This data was analyzed using an inductive, thematic approach. The second dataset was collected internally by the AHME partner organizations. It derives from a cross-sectional survey of social franchise clients at three social franchise networks supported by AHME. Data collection took place from February - May 2018 and in December 2018.

RESULTS

Many clients appreciated that insurance coverage made healthcare more affordable, reported seeking care more frequently when covered with SHI. Clients also noted that the coverage gave them access to a wider variety of providers, but rarely sought out SHI-accredited providers specifically. However, clients sometimes were charged for services that should have been covered by insurance. Due to a lack of understanding of SHI benefits, clients rarely knew they had been charged inappropriately.

CONCLUSIONS

Clients and providers would benefit from education on what is included in the SHI package. Providers should be monitored and held accountable for charging clients inappropriately; in Ghana this should be accompanied by reforms to make government financing for SHI sustainable. Since clients valued provider proximity and both Kenya and Ghana have a dearth of providers in rural areas, both countries should incentivize providers to work in these areas and prioritize accrediting rural facilities into SHI schemes to increase accessibility and reach.

Utilization of breast cancer screening in Kenya: what are the determinants?

BACKGROUND

Breast cancer accounts for 23% of all cancer cases among women in Kenya. Although breast cancer screening is important, we know little about the factors associated with women's breast cancer screening utilization in Kenya. Using the Andersen's behavioural model of health care utilization, we aim to address this void in the literature.

METHODS

We draw data on the Kenya Demographic and Health Survey and employ univariate, bivariate, and multivariate analyses.

RESULTS

We find that women's geographic location, specifically, living in a rural area (OR = 0.89; p < 0.001) and the North Eastern Province is associated with lower odds of women being screened for breast cancer. Moreover, compared to the more educated, richer and insured, women who are less educated, poorer, and uninsured (OR = 0.74; p < 0.001) are less likely to have been screened for breast cancer.

CONCLUSION

Based on these findings, we recommend place and group-specific education and interventions on increasing breast cancer screening in Kenya.

Spatial distribution and associated factors of health insurance coverage in Ethiopia: further analysis of Ethiopia demographic and health survey, 2016

BACKGROUND

Health insurance is one of the instruments to achieve universal health coverage. However, in Ethiopia, the coverage of health insurance is very low and varies from place to place as well. Therefore, exploring the spatial distribution of health insurance is important to prioritize and design targeted intervention programs in the country.

METHODS

A total of 16,583 reproductive age group women (15-49 years) were included in this study. The Bernoulli model was used by applying Kulldorff methods using the SaTScan software to analyse the purely spatial clusters of health insurance coverage. ArcGIS version 10.3 was used to visualize the distribution of health insurance coverage across the country. Mixed-effect logistic regression analysis was also used to identify predictors of health insurance coverage.

RESULTS

Health insurance coverage among women aged 15-49 years had spatial variations across the country (Moran's I: 0.115, p < 0.001). Health insurance coverage in Amhara (p < 0.001) and Tigray (p < 0.001) National Regional States clustered spatially. Reading newspapers at least once a week (Adjusted Odds Ratio (AOR) = 1.78, 95% CI: (1.18-2.68))), 40-44 years of age (AOR = 2.14, 95% CI: (1.37-3.35)), clerical working mothers (AOR = 4.33, 95% CI: (2.50-7.49)), mothers' with secondary school education (AOR = 1.77; 95% CI: (1.21-2.58)), mothers' with higher school education (AOR = 2.62; 95% CI: (1.63-4.23)), having more than 5 family members (AOR = 1.25; 95% CI: (1.01-1.55)) and richest wealth quantile (AOR = 3.43, 95% CI: (1.96-6.01)) were predictors of health insurance coverage among reproductive age group women in Ethiopia.

CONCLUSION

Health insurance coverage was very low in Ethiopia and had spatial variations across the country. The hot spot areas with low health insurance coverage need more coherent and harmonized action such as strengthening financial protection through national health packages, sharing experience from regions which have better health insurance coverage and using mass media to increase awareness and confidence of potentials in the systems, which may encourage them to enrol.

Examining purchasing reforms towards universal health coverage by the National Hospital Insurance Fund in Kenya

BACKGROUND

Kenya has prioritized the attainment of universal health coverage (UHC) through the expansion of health insurance coverage by the National Hospital Insurance Fund (NHIF). In 2015, the NHIF introduced reforms in premium contribution rates, benefit packages, and provider payment methods. We examined the influence of these reforms on NHIF's purchasing practices and their implications for strategic purchasing and health system goals of equity, efficiency and quality.

METHODS

We conducted an embedded case study with the NHIF as the case and the reforms as embedded units of analysis. We collected data at the national level and in two purposively selected counties through 41 in-depth interviews with health financing stakeholders, facility managers and frontline providers; 4 focus group discussions with 51 NHIF members; and, document reviews. We analysed the data using a Framework approach.

RESULTS

The new NHIF reforms were characterized by weak purchasing actions. Firstly, the new premium contribution rates were inadequately communicated and unaffordable for certain citizen groups. Secondly, while the new benefit packages were reported to be based on service needs, preferences and values of the population, they were inadequately communicated and unequally distributed across different citizen groups. In addition, the presence of service delivery infrastructure gaps in public healthcare facilities and the pro-urban and pro-private distribution of contracted health facilities compromised delivery of, and access to, these new services. Lastly, the new provider payment methods and rates were considered inadequate, with delayed payments and weak links to financial accountability mechanisms which compromised their ability to incentivize equity, efficiency and quality of healthcare delivery.

CONCLUSION

While NHIF sought to expand population and service coverage and reduce out-of-pocket payments with the new reforms, weaknesses in the reforms' design and implementation limited NHIF's purchasing actions with negative implications for the health system goals of equity, efficiency and quality. For the reforms to accelerate the country's progress towards UHC, policy makers at the NHIF and, national and county government should make deliberate efforts to align the design and implementation of such reforms with strategic purchasing actions that are aimed at improving health system goals.

Examining purchasing reforms towards universal health coverage by the National Hospital Insurance Fund in Kenya

BACKGROUND

Kenya has prioritized the attainment of universal health coverage (UHC) through the expansion of health insurance coverage by the National Hospital Insurance Fund (NHIF). In 2015, the NHIF introduced reforms in premium contribution rates, benefit packages, and provider payment methods. We examined the influence of these reforms on NHIF's purchasing practices and their implications for strategic purchasing and health system goals of equity, efficiency and quality.

METHODS

We conducted an embedded case study with the NHIF as the case and the reforms as embedded units of analysis. We collected data at the national level and in two purposively selected counties through 41 in-depth interviews with health financing stakeholders, facility managers and frontline providers; 4 focus group discussions with 51 NHIF members; and, document reviews. We analysed the data using a Framework approach.

RESULTS

The new NHIF reforms were characterized by weak purchasing actions. Firstly, the new premium contribution rates were inadequately communicated and unaffordable for certain citizen groups. Secondly, while the new benefit packages were reported to be based on service needs, preferences and values of the population, they were inadequately communicated and unequally distributed across different citizen groups. In addition, the presence of service delivery infrastructure gaps in public healthcare facilities and the pro-urban and pro-private distribution of contracted health facilities compromised delivery of, and access to, these new services. Lastly, the new provider payment methods and rates were considered inadequate, with delayed payments and weak links to financial accountability mechanisms which compromised their ability to incentivize equity, efficiency and quality of healthcare delivery.

CONCLUSION

While NHIF sought to expand population and service coverage and reduce out-of-pocket payments with the new reforms, weaknesses in the reforms' design and implementation limited NHIF's purchasing actions with negative implications for the health system goals of equity, efficiency and quality. For the reforms to accelerate the country's progress towards UHC, policy makers at the NHIF and, national and county government should make deliberate efforts to align the design and implementation of such reforms with strategic purchasing actions that are aimed at improving health system goals.

Who enrols in voluntary micro health insurance schemes in low-resource settings? Experience from a rural area in Bangladesh

BACKGROUND

Micro health insurance (MHI) has proved to be a potential health-financing tool for many developing countries. Bangladesh also included MHI in its current health-financing strategy which aims to achieve universal health coverage. However, low uptake, low renewal and high dropouts have historically challenged financial sustainability of these schemes.

OBJECTIVE

This study aims to identify factors influencing people from low-resource settings, particularly those from Bangladesh, to enrol in MHI schemes.

METHODS

The study analyses the 'Amader Shasthya' MHI scheme operating in Chakaria, a sub-district under Cox's Bazar district, Bangladesh. A household survey was carried out during May-June 2016 among 2,000 households from the scheme coverage area. The Outreville's insurance-demand framework was used to identify enrolment influencing factors. Multivariate logistic regression analysis was carried out to identify significant influencing factors of enrolment.

RESULTS

Enrolment influencing factors were identified in four dimensions: economic, socio-cultural, demographic and structural. Households with the main income earner having 10+ years of schooling (odds 1.9 [CI 1.2-2.9] compared to illiterate), having financial literacy (odds 1.5 [CI 1.2-1.8] compared to financially illiterate) and being a public/private service holder (odds 1.6 [CI 1.1-2.4] compared to menial labour) were more likely to enrol. Membership in development programmes of NGOs also influenced enrolment decision significantly (odds 1.3 [CI 1.0-1.5]). The presence of chronic illness in household encouraged enrolment (odds 1.5 [CI 1.2-1.8]). Households living closer to health centres were more likely to enrol (odds 2.1 [CI 1.6-2.7]) compared to those living further away.

CONCLUSION

The findings are expected to have significant implications in terms of designing similar health insurance schemes, particularly in terms of designing demand-driven and context adapted schemes that have greater potential to attract a larger client pool, ensure effective risk pooling and eventually expedite the achievement of universal health coverage in low-resource settings.

Sociodemographic patterns of health insurance coverage in Namibia

INTRODUCTION

Health insurance has been found to increase healthcare utilisation and reduce catastrophic health expenditures in a number of countries; however, coverage is often unequally distributed among populations. The sociodemographic patterns of health insurance in Namibia are not fully understood. We aimed to assess the prevalence of health insurance, the relation between health insurance and health service utilisation and to explore the sociodemographic factors associated with health insurance in Namibia. Such findings may help to inform health policy to improve financial access to healthcare in the country.

METHODS

Using data on 14,443 individuals, aged 15 to 64 years, from the 2013 Namibia Demographic and Health Survey, the association between health insurance and health service utilisation was investigated using multivariable mixed effects Poisson regression analyses, adjusted for sociodemographic covariates and regional, enumeration area and household clustering. Multivariable mixed effects Poisson regression analyses were also conducted to explore the association between key sociodemographic factors and health insurance, adjusted for covariates and clustering. Effect modification by sex, education level and wealth quintile was also explored.

RESULTS

Just 17.5% of this population were insured (men: 20.2%; women: 16.2%). In fully-adjusted analyses, education was significantly positively associated with health insurance, independent of other sociodemographic factors (higher education RR: 3.98; 95% CI: 3.11-5.10; p < 0.001). Female sex (RR: 0.83; 95% CI: 0.74-0.94; p = 0.003) and wealth (highest wealth quintile RR: 13.47; 95% CI: 9.06-20.04; p < 0.001) were also independently associated with insurance. There was a complex interaction between sex, education and wealth in the context of health insurance. With increasing education level, women were more likely to be insured (p for interaction < 0.001), and education had a greater impact on the likelihood of health insurance in lower wealth quintiles.

CONCLUSIONS

In this population, health insurance was associated with health service utilisation but insurance coverage was low, and was independently associated with sex, education and wealth. Education may play a key role in health insurance coverage, especially for women and the less wealthy. These findings may help to inform the targeting of strategies to improve financial protection from healthcare-associated costs in Namibia.

Accrediting private providers with National Health Insurance to better serve low-income populations in Kenya and Ghana: a qualitative study

BACKGROUND

Small private providers in low- and middle-income countries (LMICs) are well positioned to fill gaps in services to low-income populations using Social Health Insurance (SHI) schemes. However, we know little about the practical challenges both private providers and patients face in the context of SHI that may ultimately limit access to quality services for low-income populations. In this paper, we pull together data collected from private providers, patients, and SHI officials in Kenya and Ghana to answer the question: does participation in an SHI scheme affect private providers' ability to serve poorer patient populations with quality health services?

METHODS

In-depth interviews were held with 204 providers over three rounds of data collection (2013, 2015, 2017) in Kenya and Ghana. We also conducted client exit interviews in 2013 and 2017 for a total of 106 patient interviews. Ten focus group discussions (FGDs) were conducted in Kenya and Ghana respectively in 2013 for a total of 171 FGD participants. A total of 13 in-depth interviews also were conducted with officials from the Ghana National Health Insurance Agency (NHIA) and the Kenya National Hospital Insurance Fund (NHIF) across four rounds of data collection (2013, 2014, 2016, 2017). Provider interviews covered reasons for (non) enrollment in the health insurance system, experiences with the accreditation process, and benefits and challenges with the system. Client exit interviews covered provider choice, clinic experience, and SHI experience. FGDs covered the local healthcare landscape. Interviews with SHI officials covered officials' experiences working with private providers, and the opportunities and challenges they faced both accrediting providers and enrolling members. Transcripts were coded in Atlas.ti using an open coding approach and analyzed thematically.

RESULTS

Private providers and patients agreed that SHI schemes are beneficial for reducing out-of-pocket costs to patients and many providers felt they had to become SHI-accredited in order to keep their facilities open. The SHI officials in both countries corroborated these sentiments. However, due to misunderstanding of the system providers tended to charge clients for services they felt were above and beyond reimbursable expenses. Services were sometimes limited as well. Significant delays in SHI reimbursement in Ghana exacerbated these problems and compromised providers' abilities to cover basic expenses without charging patients. While patients recognized the potential benefits of SHI coverage and many sought it out, a number of patients reported allowing their enrollment to lapse for cost reasons or because they felt the coverage was useless when they were still asked to pay for services out-of-pocket at the health facility.

CONCLUSIONS

Our data point to several major barriers to SHI access and effectiveness for low-income populations in Ghana and in Kenya, in addition to opportunities to better engage private providers to serve these populations. We recommend using fee-for-service payments based on Diagnosis Related Group rather than a capitation payment system, as well as building more monitoring and accountability mechanisms into the SHI systems in order to reduce requests for informal out-of-pocket payments from patients while also ensuring quality of care. However, particularly in Ghana, these reforms should be accompanied by financial reform within the SHI system so that small private providers can be adequately funded through government financing.

Accrediting private providers with National Health Insurance to better serve low-income populations in Kenya and Ghana: a qualitative study

Background

Small private providers in low- and middle-income countries (LMICs) are well positioned to fill gaps in services to low-income populations using Social Health Insurance (SHI) schemes. However, we know little about the practical challenges both private providers and patients face in the context of SHI that may ultimately limit access to quality services for low-income populations. In this paper, we pull together data collected from private providers, patients, and SHI officials in Kenya and Ghana to answer the question: does participation in an SHI scheme affect private providers’ ability to serve poorer patient populations with quality health services?

Methods

In-depth interviews were held with 204 providers over three rounds of data collection (2013, 2015, 2017) in Kenya and Ghana. We also conducted client exit interviews in 2013 and 2017 for a total of 106 patient interviews. Ten focus group discussions (FGDs) were conducted in Kenya and Ghana respectively in 2013 for a total of 171 FGD participants. A total of 13 in-depth interviews also were conducted with officials from the Ghana National Health Insurance Agency (NHIA) and the Kenya National Hospital Insurance Fund (NHIF) across four rounds of data collection (2013, 2014, 2016, 2017). Provider interviews covered reasons for (non) enrollment in the health insurance system, experiences with the accreditation process, and benefits and challenges with the system. Client exit interviews covered provider choice, clinic experience, and SHI experience. FGDs covered the local healthcare landscape. Interviews with SHI officials covered officials’ experiences working with private providers, and the opportunities and challenges they faced both accrediting providers and enrolling members. Transcripts were coded in Atlas.ti using an open coding approach and analyzed thematically.

Results

Private providers and patients agreed that SHI schemes are beneficial for reducing out-of-pocket costs to patients and many providers felt they had to become SHI-accredited in order to keep their facilities open. The SHI officials in both countries corroborated these sentiments. However, due to misunderstanding of the system providers tended to charge clients for services they felt were above and beyond reimbursable expenses. Services were sometimes limited as well. Significant delays in SHI reimbursement in Ghana exacerbated these problems and compromised providers’ abilities to cover basic expenses without charging patients. While patients recognized the potential benefits of SHI coverage and many sought it out, a number of patients reported allowing their enrollment to lapse for cost reasons or because they felt the coverage was useless when they were still asked to pay for services out-of-pocket at the health facility.

Conclusions

Our data point to several major barriers to SHI access and effectiveness for low-income populations in Ghana and in Kenya, in addition to opportunities to better engage private providers to serve these populations. We recommend using fee-for-service payments based on Diagnosis Related Group rather than a capitation payment system, as well as building more monitoring and accountability mechanisms into the SHI systems in order to reduce requests for informal out-of-pocket payments from patients while also ensuring quality of care. However, particularly in Ghana, these reforms should be accompanied by financial reform within the SHI system so that small private providers can be adequately funded through government financing.

How does membership in local savings groups influence the determinants of national health insurance demand? A cross-sectional study in Kisumu, Kenya

BACKGROUND

Rotating savings and credit associations (ROSCAs) are highly active in many sub-Saharan African countries, serving as an important gateway for coping with financial risk. In light of the Kenya's National Hospital Insurance Fund's (NHIF's) strategy of targeting ROSCAs for membership enrolment, this study sought to estimate how ROSCA membership influences the determinants of voluntary health insurance enrolment.

METHODS

A cross-sectional survey of 444 households was carried out in Kisumu City between July and August 2016. A structured questionnaire was administered on health insurance membership, household attributes, headship characteristics and health-seeking behaviour. We assessed the influence of ROSCA membership on the associations between NHIF enrolment and the explanatory variables using univariate logistic regression.

RESULTS

The study found that education was associated with NHIF demand regardless of ROSCA membership. Both ROSCA and non-ROSCA households with high socioeconomic status showed stronger health insurance demand compared with poorer households; there was, however, no evidence that the strength of this association was influenced by ROSCA status (p-value = 0.47). Participants who were self-employed were significantly less likely to enrol into the NHIF if they did not belong to a ROSCA (interaction test p-value = 0.03). NHIF enrolment was found to be lower among female-headed households. There was a borderline effect of ROSCA membership on this association, with a lower odds ratio amongst non-ROSCA members (p-value = 0.09): the low treatment numbers amongst the insured infers that ROSCA membership may play a role on the association between gender and NHIF demand.

CONCLUSIONS

Our findings suggest that ROSCA membership may play a role in increasing health insurance demand amongst some traditionally under-represented groups such as women and the self-employed. However, the strategy of targeting ROSCAs to increase national health insurance enrolment may yield exiguous results, given that ROSCA membership is itself influenced by several non-observable factors - such as time-availability and self-selection. It is therefore important to anchor outreach to ROSCAs within a broader, multi-pronged approach that targets households within their social, economic and political realities.

Predictors of Enrolment in the National Health Insurance Scheme Among Women of Reproductive Age in Nigeria

Background: Despite the implementation of the National Health Insurance Scheme (NHIS) since 2005 in Nigeria, the level of health insurance coverage remains low. The study aims to examine the predictors of enrolment in the NHIS among women of reproductive age in Nigeria.

Methods: Secondary data from the 2013 Nigeria Demographic and Health Survey (NDHS) were utilized to examine factors influencing enrolment in the NHIS among women of reproductive age (n=38 948) in Nigeria. Demographic and socio-economic characteristics of women were determined using univariate, bivariate and multivariate analyses. Data analysis was performed using STATA version 12 software.

Results: We found that 97.9% of women were not covered by health insurance. Multivariate analysis indicated that factors such as age, education, geo-political zone, socio-economic status (SES), and employment status were significant predictors of enrolment in the NHIS among women of reproductive age.

Conclusion: This study concludes that health insurance coverage among women of reproductive age in Nigeria is very low. Additionally, demographic and socio-economic factors were associated with enrolment in the NHIS among women. Therefore, policy-makers need to establish a tax-based health financing mechanism targeted at women who are young, uneducated, from poorest households, unemployed and working in the informal sector of the economy. Extending health insurance coverage to women from poor households and those who work in the informal sector through a tax-financed non-contributory health insurance scheme would accelerate progress towards universal health coverage (UHC).

Uptake of health insurance by the rural poor in Ghana: determinants and implications for policy

Introduction

Financing access to healthcare services in developing countries remains a major challenge despite recent advances towards implementation of various health insurance policies in many low and middle-income countries. The use of health insurance is considered an important means to achieve universal health coverage. However, uptake of health insurance in most developing countries remains low as a result of several challenges. Empirical evidence of factors restraining enrolment is rare in many developing countries including Ghana. This paper therefore sought to investigate the factors associated with the uptake of health insurance products and the implications thereof for policy, using Awutu Senya West District of Ghana as case study.

Methods

A logit model was used to analyze data from 178 respondents randomly selected from two microfinance groups operating in the study area.

Results

The results indicate that insurance uptake is higher among younger people, but lower among women. Older women are however more likely to take up health insurance compared to older men. In addition, the study reveals that insurance uptake increases with level of education but decreases with household size.

Conclusion

The study concludes that even though the premium on health insurance coverage in Ghana is arguably low, socio-demographic characteristics such as age, sex, literacy level and household size affect the decision to enroll. Adequate public sensitization on the benefits of the scheme and decreasing the statutory age for exemption from premium payment, especially in rural localities, are some of the measures suggested to enhance health insurance uptake in Ghana and other developing countries.

Clients' Experience and Satisfaction of Utilizing Healthcare Services in a Community Based Health Insurance Program in Bangladesh

Background: Community-based health insurance is recognized as a promising tool for health system improvement for low-income people that improves the health status of enrolees and enhances productivity and labor supply. The experience and opinion of the clients who utilized health services through the insurance scheme are important for improving healthcare services, shaping health policies and providing feedback on the quality, availability, and responsiveness of healthcare services. However, studies focusing on clients' satisfaction provided by the health insurance scheme are still limited globally. Objective: To address this knowledge gap, this current study attempted to measure the degree of clients' satisfaction towards healthcare services and insurance scheme, based on their experience of health care which will serve the future reference point to implement potential quality improvement initiatives of community-based health insurance program. Methods: A cross-sectional household survey was conducted within the catchment area of a community-based health insurance pilot program named Labor Association for Social Protection (LASP) during April⁻June 2014 to compare the evaluation of healthcare services provided by LASP scheme. In the descriptive analyses, the characteristics of the study participants were presented regarding frequency and the percentages with 95% confidence interval. Spearman correlation analysis was conducted between the satisfaction score of each indicator and overall satisfaction score; multivariate linear regression analysis was used to identify the factors associated with overall health scheme satisfaction. Results: The overall satisfaction mean score was 4.17 ± 0.04 (95% CI: 4.08⁻4.26) out of 5.00. The most satisfied domains were related to the diagnostic services (4.46 ± 0.98), explanation about the prescribed medicine (4.23 ± 0.81), the surrounding environment of healthcare facility (4.21 ± 0.70) and the behavior of health personnel toward clients (4.18 ± 0.73). Conclusions: Our study observed that the overall satisfaction level towards health services is quite favorable, but satisfaction scores can still be improved. These findings could contribute towards developing and designing the healthcare services packages of community-based health scheme which is in line with the health care financing strategy of Bangladesh as well as the recommendation of the World Health Organization for developing social health insurance as part of path to Universal Health Coverage.

Examining levels, distribution and correlates of health insurance coverage in Kenya

OBJECTIVE

To examine the levels, inequalities and factors associated with health insurance coverage in Kenya.

METHODS

We analysed secondary data from the Kenya Demographic and Health Survey (KDHS) conducted in 2009 and 2014. We examined the level of health insurance coverage overall, and by type, using an asset index to categorise households into five socio-economic quintiles with quintile 5 (Q5) being the richest and quintile 1 (Q1) being the poorest. The high-low ratio (Q5/Q1 ratio), concentration curve and concentration index (CIX) were employed to assess inequalities in health insurance coverage, and logistic regression to examine correlates of health insurance coverage.

RESULTS

Overall health insurance coverage increased from 8.17% to 19.59% between 2009 and 2014. There was high inequality in overall health insurance coverage, even though this inequality decreased between 2009 (Q5/Q1 ratio of 31.21, CIX = 0.61, 95% CI 0.52-0.0.71) and 2014 (Q5/Q1 ratio 12.34, CIX = 0.49, 95% CI 0.45-0.52). Individuals that were older, employed in the formal sector; married, exposed to media; and male, belonged to a small household, had a chronic disease and belonged to rich households, had increased odds of health insurance coverage.

CONCLUSION

Health insurance coverage in Kenya remains low and is characterised by significant inequality. In a context where over 80% of the population is in the informal sector, and close to 50% live below the national poverty line, achieving high and equitable coverage levels with contributory and voluntary health insurance mechanism is problematic. Kenya should consider a universal, tax-funded mechanism that ensures revenues are equitably and efficiently collected, and everyone (including the poor and those in the informal sector) is covered.