Dropping out of voluntary community-based health insurance in rural Uganda: Evidence from a cross-sectional study in rural south-western Uganda

Factors Related to Client Satisfaction with Community Based Health Insurance Services During COVID-19 Pandemic in Central Uganda: A Mixed Methods Healthcare Facility Based Study

Background

During the COVID-19 lockdowns, healthcare services were disrupted and community-based health insurance (CBHI) schemes could not operate efficiently. This study assessed the level of client satisfaction with CBHI schemes, associated factors, and service provider perspectives in central Uganda.

Methods

This was an explanatory sequential mixed-methods (quantitative - qualitative) study that was conducted between March and September 2021. In the first phase, a cross-sectional study among the 365 clients of the CBHI schemes who were aged ≥18 years old. The participants were recruited consecutively as they reported to the healthcare facility. Quantitative data were collected at patient exit using a piloted semi-structured interviewer-administered questionnaire. In the second phase, qualitative data were collected through 11 key informant interviews. These data were analyzed using a deductive thematic analysis approach. Modified Poisson regression was used to assess factors associated with client satisfaction and a p-value ≤0.05 at a 95% confidence interval was considered to be statistically significant.

Findings

Of the total number of participants, 38.9% (142/365) were "satisfied" with the CBHI services. Less satisfaction was associated with secondary level of education or above (adjPR = 0.55, 95% CI: 0.36-0.85, P=.007); residing beyond 16 kilometers from the healthcare facility (adjPR = 0.68, 95% CI: 0.41-0.95, P=.014); staying on the scheme for over 3 years (adjPR = 0.71, 95% CI: 0.51-0.99, P=.046); and good knowledge about the CBHI (adjPR = 0.76, 95% CI: 0.58-0.99, P=.040). Irregular availability of healthcare workers and long waiting time affected client satisfaction.

Conclusions

Satisfaction was considerably low during the lockdown. Lockdowns due to pandemics interrupt healthcare services and subsequently affect the satisfaction of CBHI clients with scheme services. Scheme managers need to identify facilities that are closer to enrolees and invest in technologies that reduce waiting time in the healthcare facility.

Experiences of membership in munno mubulwadde (your friend indeed) - a novel community-based health insurance scheme in Luwero district in rural central Uganda

BACKGROUND

Community-Based Health Insurance (CBHI) schemes are recognized as an important health financing pathway to achieving universal health coverage (UHC). Although previous studies have documented CBHIs in low-income countries, the majority of these have been provider-based. Non-provider based schemes have received comparatively less empirical attention. We sought to describe a novel non-provider based CBHI munno mubulwadde (your friend indeed) comprising informal sector members in rural central Uganda to understand the structure of the scheme, the experiences of scheme members in terms of the perceived benefits and barriers to retention in the scheme.

METHODS

We report qualitative findings from a larger mixed-methods study. We conducted in-depth interviews with insured members (n = 18) and scheme administrators (n = 12). Four focus groups were conducted with insured members (38 participants). Data were inductively analyzed by thematic approach.

RESULTS

Munno mubulwadde is a union of ten CBHI schemes coordinated by one administrative structure. Members were predominantly low-income rural informal sector households who pay annual premiums ranging from $17 and $50 annually and received medical care at 13 scheme-contracted private health facilities in Luwero District in Central Uganda. Insured members reported that scheme membership protected them from catastrophic health expenditure during episodes of sickness among household members, and especially so among households with children under-five who were reported to fall sick frequently, the scheme enabled members to receive perceived better quality health care at private providers in the study district relative to the nearest public facilities. The identified barriers to retention in the scheme include inconvenient dates for premium payment that are misaligned with harvest periods for cash crops (e.g. maize corn) on which members depended for their agrarian livelihoods, long distances to insurance-contracted private providers, falling prices of cash crops which diminished real incomes and affordability of insurance premiums in successive years after initial enrolment.

CONCLUSION

Munno mubulwadde was perceived by as a valuable financial cushion during episodes of illness by rural informal sector households. Policy interventions for promoting price stability of cash crops in central Uganda could enhance retention of members in this non-provider CBHI which is worthy of further research as an additional funding pathway for realizing UHC in Uganda and other low-income settings.

Dropout rate and associated factors of community-based health insurance beneficiaries in Ethiopia: a systematic review and meta-analysis

BACKGROUND

Ethiopia aims to achieve universal healthcare using health insurance. To do so, it has been implementing community-based health insurance since 2011. However, the retention of members by the scheme has not yet been evaluated nationally. The systematic review and meta-analysis aimed to evaluate the dropout rate and associated factors among the scheme's beneficiaries in Ethiopia.

METHODS

On December 19, 2022, searches were conducted in Scopus, Hinari, PubMed, Semantic Scholar, and Google Scholar. Searches were also conducted on the general web and electronic repositories, including the Ethiopian Health Insurance Service, the International Institute for Primary Health Care-Ethiopia, and various higher education institutions. The Joanna Briggs Institute's tools and the "preferred reporting items for systematic reviews and meta-analyses 2020 statement" were used to evaluate bias and frame the review, respectively. Data were analyzed using Stata 17 and RevMan 5. To assess heterogeneity, we conducted subgroup analysis and used a random model to calculate odds ratios with a p value less than 0.05 and a 95% CI.

RESULTS

In total, 14 articles were included in the qualitative synthesis, of which 12 were selected for the quantitative analysis. The pooled estimate revealed that the dropout rate of beneficiaries from the scheme was 34.0% (95% CI: 23-44%), provided that the renewal rate was 66.0%, and was found to be influenced by socio-demographic, health status, length of enrolment, knowledge, attitude, the scheme, and health service-related variables. The southern and Oromia regions reported the lowest and highest dropout rates, with 27.0% (95% CI: 24-29%) and 48.0% (95% CI: 18-78%), respectively. The dropout rates increased from 12.3% in 2012-2015 to 34.4% in 2020-2021.

CONCLUSION

More than one-third of the scheme's beneficiaries were found to have dropped out, and this has been found to increase over time, dictating that a community-based strategy and intervention, from the supply, insurer, and demand sides, seem indispensable in minimizing this huge dropout rate.

Whether or not to enroll, and stay enrolled? A Tanzanian cross-sectional study on voluntary health insurance

Lower-middle income countries (LMICs) have invested significant effort into expanding insurance coverage as a means of improving access to health care. However, it has proven challenging to fulfill these ambitions. This study investigates to what extent variables associated with the enrollment decision (stay never-insured or enroll) differ from variables associated with the dropout decision (stay insured or drop out). A cross-sectional survey that included 722 households from rural districts in Tanzania was conducted and multinomial logistic regressions were performed to determine the associations between independent variables and membership status (never-insured, dropouts, or currently insured). Both the decision to enrollment and the decision to drop out were significantly associated with the presence of chronic disease and perceptions about the quality of services provided, insurance scheme management, and traditional healers. The effect of other variables, such as age, gender and educational level of the household head, household income, and perceptions about premium affordability and benefit-premium ratios, varied across the two groups. To improve voluntary health insurance coverage, policymakers must simultaneously increase the enrollment rate among the never-insured and reduce the dropout rate among the insured. Our conclusions suggest that policies to increase insurance scheme enrollment rates should differ for the two uninsured groups.

Causes of dropout from health insurance program: An experience from Lumbini Province, Nepal

The Health Insurance Program (HIP) in Nepal is experiencing low enrolment and high dropout rates, but the causes of these issues have remained unknown. This study aimed to explore the causes of dropouts of the HIP implemented by the Health Insurance Board, Nepal. We employed an exploratory qualitative research design. We purposefully selected the informants for the data collection who had previously enrolled and currently not renewed their insurance scheme. We gathered qualitative information from 16 in-depth interviews, four key informant interviews, and four focus group discussion in Palpa and Bardia Districts of Lumbini Province, Nepal. The qualitative data were analyzed using thematic analysis. We identified two major themes and nine drop-out-related sub-themes. These were: unnecessary health insurance; negligence to renew; unable to pay the contribution amount; poor cooperation between institutions as well as insurees and insurers; limited coverage and ceiling amount; rigid processes to receive health services; health professionals' behaviors; poor quality healthcare services; inadequate information. Dropout-related factors were associated with personal or individual factors and institutional or policy-related (process-related) factors. The major causes/reasons for dropout include lengthy procedures, poor quality and unsatisfactory services, a lack of knowledge on health insurance norms and procedures, and health professionals' behavior towards insurees during treatment. Information, education, and communication programs related to health insurance are still necessary to make the insurees familiar with the insurance systems and its processes. These factors could be taken into account by policymakers while planning interventions to minimize the low enrollment and high dropout.

Community-Based Health Insurance Utilization and Its Determinants among Informal Workers: Cross-Sectional Study

Background

Ethiopia has implemented a community-based health insurance (CBHI) program to provide coverage to 80% of the population and shield underprivileged individuals from the detrimental effects of exorbitant medical expenses. However, there is a paucity of data regarding its utilization and pertinent concerns. This study aimed to evaluate the utilization of CBHI and its associated factors among informal workers in Berek District.

Methods

This community-based cross-sectional study was conducted between June 15 and July 15, 2022. The sample population comprised 538 households selected using a multistage sampling approach. Data analysis was done using SPSS Version 26. Variables with P-values of less than 0.25 during the bivariate analysis were selected for multivariate analysis using binary logistic regression. The statistical significance threshold was set at a p-value of 0.05.

Results

The utilization of Community-Based Health Insurance (CBHI) was 49.8%. Age between 30 and 39 years, monthly earnings of less than 1500 Ethiopian Birr, presence of chronic illness, membership in social organization, and possessing adequate knowledge were found to have a statistically significant association with the use of CBHI.

Conclusion

The utilization of CBHI was low within the confines of this district Age, income, social group membership, and chronic illnesses were significantly associated with CBHI utilization.

The effects of individual and community-level factors on community-based health insurance enrollment of households in Ethiopia

Introduction

Community-based health insurance (CBHI) is a type of volunteer health insurance that has been adopted all over the world in which people of the community pool funds to protect themselves from the high costs of seeking medical care and treatment for the disease. In Ethiopia, healthcare services are underutilized due to a lack of resources in the healthcare system. The study aims to identify the individual and community level factors associated with community-based health insurance enrollment of households in Ethiopia.

Methods

Data from the Ethiopian mini demographic and health survey 2019 were used to identify factors associated with community-based health insurance enrollment of households in Ethiopia. Multilevel logistic regression analysis was used on a nationally representative sample of 8,663 households nested within 305 communities, considering the data’s layered structure. We used a p-value<0.05 with a 95% confidence interval for the results.

Result

The prevalence of community-based health insurance enrollment in Ethiopia was 20.2%. The enrollment rate of households in the scheme was high in both Amhara (57.9), and Tigray (57.9%) regions and low (3.0%) in the Afar region. At the individual level; the age of household heads, number of children 5 and under, number of household members, has land for agriculture, has a mobile telephone, receiving cash of food from the safety Net Program, Owning livestock, and herds of farm animals, wealth index, and at the community level; the region had a significant association with community-based health insurance enrollment.

Conclusion

Both individual and community-level characteristics were significant predictors of community-based health insurance enrollment in households. Furthermore, the ministry of health, health bureaus, and other concerning bodies prioritize clusters with low health insurance coverage to strengthen health system financing and intervene in factors that negatively affect the CBHI enrollment of households.

Pooled coverage of community based health insurance scheme enrolment in Ethiopia, systematic review and meta-analysis, 2016-2020

BACKGROUND

Community Based Health Insurance (CBHI) is a type of health insurance program that provides financial protection against the cost of illness and improving access to health care services for communities engaged in the informal sector. In Ethiopia, the coverage of CBHI enrolment varies across regions and decision of household enrolment is affected by different factors. There are pocket studies on CBHI scheme with different coverage in Ethiopia and there is no pooled study on CBHI enrolment coverage in Ethiopia for better understanding the scheme and decision making. The aim of this systematic review and meta-analysis was to identify the pooled coverage of CBHI enrolment in Ethiopia to understand its policy implications.

METHODS

The systematic review and meta-analysis was done by adhering the PRISMA guideline with exhaustive search in PubMed/Medline, HINARI, SCOPUS and Google scholar complemented by manual search. Two authors independently selected studies, extracted data, and assessed quality of studies. The I2 test statistic was used to test heterogeneity among studies. The overall coverage of CBHI scheme was estimated by using random-effects model.

RESULT

Among 269 identified, 17 studies were included in this meta-analysis and the overall coverage of CBHI scheme was 45% (95% CI 35%, 55%) in Ethiopia. The sub-group analysis shows higher enrolment rate 55.97 (95%CI: 41.68, 69.77) in earlier (2016-2017) studies than recent 37.33 (95%CI: 24.82, 50.77) studies (2018-2020).

CONCLUSION

The pooled coverage of CBHI enrolment is low in Ethiopia compared the national target of 80% set for 2020. It is also concentrated in only major regions of the country. The finding of the study helps national decision making for CBHI scheme service improvement. Due attention to be given to improving geographic expansion of CBHI and to the declining coverages with in the CBHI implementing regions by addressing the main bottlenecks restraining coverages.

TRIAL REGISTRATION

The protocol of this systematic review and meta-analysis was published in PROSPERO with registration number: CRD42021252762 .

Continued adherence to community-based health insurance scheme in two districts of northeast Ethiopia: application of accelerated failure time shared frailty models

Background

The sustainability of a voluntary community-based health insurance scheme depends to a greater extent on its ability to retain members. In low- and middle-income countries, high rate of member dropout has been a great concern for such schemes. Although several studies have investigated the factors influencing dropout decisions, none of these looked into how long and why members adhere to the scheme. The purpose of this study was to determine the factors affecting time to drop out while accounting for the influence of cluster-level variables.

Methods

A community-based cross-sectional study was conducted among 1232 rural households who have ever been enrolled in two community-based health insurance schemes. Data were collected using an interviewer-administered questionnaire via a mobile data collection platform. The Kaplan–Meier estimates were used to compare the time to drop out among subgroups. To identify predictors of time to drop out, a multivariable analysis was done using the accelerated failure time shared frailty models. The degree of association was assessed using the acceleration factor (δ) and statistical significance was determined at 95% confidence interval.

Results

Results of the multivariable analysis revealed that marital status of the respondents (δ = 1.610; 95% CI: 1.216, 2.130), household size (δ = 1.168; 95% CI: 1.013, 1.346), presence of chronic illness (δ = 1.424; 95% CI: 1.165, 1.740), hospitalization history (δ = 1.306; 95% CI: 1.118, 1.527), higher perceived quality of care (δ = 1.322; 95% CI: 1.100, 1.587), perceived risk protection (δ = 1.218; 95% CI: 1.027, 1.444), and higher trust in the scheme (δ = 1.731; 95% CI: 1.428, 2.098) were significant predictors of time to drop out. Contrary to the literature, wealth status did not show a significant correlation with the time to drop out.

Conclusions

The fact that larger households and those with chronic illness remained longer in the scheme is suggestive of adverse selection. It is needed to reconsider the premium level in line with household size to attract small size households. Resolving problems related to the quality of health care can be a cross-cutting area of ​​intervention to retain members by building trust in the scheme and enhancing the risk protection ability of the schemes.