Determinants of community-based health insurance implementation in west Gojjam zone, Northwest Ethiopia: a community based cross sectional study design

Public satisfaction with the Ethiopian healthcare system: a mixed methods approach

Introduction

The satisfaction of the public with the healthcare system of Ethiopia is a crucial but unanswered question. This is an essential issue since recent trends indicate that the demographic and epidemiological makeup of the population is changing. Therefore, the aim of this study was to assess the overall satisfaction of the public with the Ethiopian healthcare system in Addis Ababa, Ethiopia, in 2022.

Methods

A community-based convergent parallel mixed methods study was conducted. Bivariable and multivariable logistic regression analyses were used to determine the factors associated with public satisfaction. A 95% confidence interval along with a p < 0.05 was deemed sufficient to declare a significant association. For the qualitative component, we used thematic analysis.

Results

The vast majority, 77.2% (95% CI: 76.18-78.22%), of respondents were dissatisfied with the existing healthcare system. Moreover, Community-Based Health Insurance (CBHI) enrollment (2.35; 95% CI: 1.32-4.19), poor linkage to social capital (0.46; 95% CI: 0.25-0.83), poor access to healthcare services (0.39; 95% CI: 0.21-0.76), and absence of satisfactory responses to complaints (0.11; 95% CI: 0.04-0.27) were significantly associated with public dissatisfaction.

Conclusion

Public satisfaction with the Ethiopian healthcare system is notably low and is affected by various factors, including enrollment in the CBHI, linkage to social capital, accessibility to healthcare, and satisfactory response to issues. Therefore, the Ethiopian government should focus on expanding CBHI coverage, improving access to healthcare services, and developing an immediate compliant solution strategy.

Rural-urban disparity in community-based health insurance enrollment in Ethiopia: a multivariate decomposition analysis using Ethiopian Mini Demographic Health Survey 2019

Background

In sub-Saharan Africa, achieving universal health coverage (UHC) and protecting populations from health-related financial hardship remain challenging goals. Subsequently, community-based health insurance (CBHI) has gained interest in low and middle-income countries, such as Ethiopia. However, the rural-urban disparity in CBHI enrollment has not been properly investigated using multivariate decomposition analysis. Therefore, this study aimed to assess the rural-urban disparity of CBHI enrollment in Ethiopia using the Ethiopian Mini Demographic Health Survey 2019 (EMDHS 2019).

Methods

This study used the latest EMDHS 2019 dataset. STATA version 17.0 software was used for analyses. The chi-square test was used to assess the association between CBHI enrollment and the explanatory variables. The rural-urban disparity of CBHI enrollment was assessed using the logit-based multivariate decomposition analysis. A p-value of <0.05 with a 95% confidence interval was used to determine the statistical significance.

Results

The study found that there was a significant disparity in CBHI enrollment between urban and rural households (p < 0.001). Approximately 36.98% of CBHI enrollment disparities were attributed to the compositional (endowment) differences of household characteristics between urban and rural households, and 63.02% of the disparities were due to the effect of these characteristics (coefficients). The study identified that the age and education of the household head, family size, number of under-five children, administrative regions, and wealth status were significant contributing factors for the disparities due to compositional differences between urban and rural households. The region was the significant factor that contributed to the rural-urban disparity of CBHI enrollment due to the effect of household characteristics.

Conclusion

There were significant urban-rural disparities in CBHI enrollment in Ethiopia. Factors such as age and education of the household head, family size, number of under-five children, region of the household, and wealth status of the household contributed to the disparities attributed to the endowment, and region of the household was the contributing factor for the disparities due to the effect of household characteristics. Therefore, the concerned body should design strategies to enhance equitable CBHI enrollment in urban and rural households.

Determinants of community-based health insurance membership renewal decision among rural households in Kellem Wollega zone, Oromia regional state, Ethiopia: a community-based cross-sectional study

Background

Despite the fact that community-based health insurance (CBHI) is a promising program to achieve the goal of universal health coverage (UHC), it faces challenges that are not only due to low enrollment but also due to membership renewal decision that impact its sustainability. Hence, the study aimed to identify the determinants of CBHI membership renewal decision among rural households in Kellem Wollega zone, Ethiopia.

Methods

The study was conducted in Kellem Wollega, Ethiopia, among rural households from March 30-April 30, 2022, using a community-based cross-sectional study design. An interviewer-administered structured questionnaire through face-to-face interviews was used. Using a systematic random sampling method, 551 households were selected making 540 (98%) response rates. The data was entered into EPI Data 3.1 and analyzed using SPSS 25 software. Descriptive statistics, binary, and multiple logistic regressions were performed. Using multiple logistic regressions, a significant association between the CBHI membership renewal decision and independent variables was identified, declaring the statistical significance level using a 95% confidence interval (CI) at p < 0.05.

Results

The overall rate of CBHI membership renewal decision among households was estimated to be 365 (67.6%, 95% CI = 63.7-71.5%). The factors that significantly influenced the households' membership renewal decision were family size (AOR = 0.46, 95% CI = 0.25-0.86), low literacy status (AOR = 0.28 95% CI = 0.12-0.64), lower than middle-level of wealth index (AOR = 9.80, 95% CI = 2.75-34.92), premium affordability (AOR = 4.34, 95% CI = 2.08-9.04), unavailability of services (AOR = 0.26, 95% CI = 0.12-0.55), trusting in health facilities (AOR = 5.81, 95% CI = 2.82-11.94), favorable providers' attitude toward members (AOR = 8.23, 95% CI = 3.96-19.64), good quality of service (AOR = 4.47, 95% CI = 2.28-8.85) and health care seeking behavior (AOR =3.25, 95% CI = 1.32-7.98).

Conclusion

The overall CBHI membership dropout decision rate among rural households was high, which could affect health service provision and utilization. Therefore, the insurance scheme and contracted health facilities should consider and work on family size and wealth status when membership premiums are calculated, the education level of households when creating awareness about the scheme, building trust in the contracted health facilities by providing all promised benefit packages of health services with good quality, and improving the attitude of health care providers towards the scheme members.

Client satisfaction and associated factors towards the health service provided to members of a community-based health insurance scheme in Southern Ethiopia

Background

Globally, 1.3 billion poor people have no access to health services due to their inability to afford payment when they need services. According to a report published by the WHO in 2014, globally 150 million people are pushed into poverty as a result of direct payment for health services.

Objective

This study aims to assess the satisfaction level of clients and associated factors toward health services provided to members of a community-based health insurance (CBHI) scheme.

Methods

An institutional-based cross-sectional study design was employed. A total sample size of 393 people was estimated using a single population formula, and three health facilities (HFs) were selected using a simple random sampling method, whereas study participants were selected by using a systematic sampling method. All patients who visited the HFs were included, whereas women who visited the HFs for maternity service were excluded from the study. A reliability test (Cronbach's alpha) was performed to determine the internal consistency for these items to measure the satisfaction level of the clients. Epi Info software version 7 was used to calculate the sample size and to enter data, whereas further data cleaning and analysis were conducted using SPSS software version 20.

Results

A total of 367 clients enrolled in the community-based health insurance scheme were interviewed, showing a response rate of 93%. The reliability test (Cronbach's alpha) value for the items used to measure level of client satisfaction was 0.817. The overall level of the clients' mean satisfaction toward health service provision was 63.1% (3.95 + 0.47 SD). This study found that age with AOR = 0.11 [95% CI (0.01-0.79)], residence with AOR = 1.80 [95% CI (1.79-3.66)], number of family with AOR = 2.27 [95% CI (1.46-11.22)], frequency of visits to HFs with AOR = 13.62 [95% CI (2.09-88.58)], and clients' level of knowledge with AOR = 3.33 [95% CI (1.06-10.42) had a statistical significant association with client satisfaction toward health service provision.

Conclusion

Our study found that the perceived level of client satisfaction is higher than previous studies. Residence, frequency of visits, level of knowledge, payment during referral time, number of family members, and frequency of visits were identified as predictors of client satisfaction on the health service provision.

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.

Determinants of enrollment in community based health insurance program among households in East Wollega Zone, west Ethiopia: Unmatched case-control study

Background

Ethiopia has launched a community-based health insurance (CBHI) since 2011, which is an innovative financing mechanism to enhance domestic resource mobilization and sustainable health financing. This study assessed determinants of CBHI enrollment among HHs (households) of East Wollega, Ethiopia, 2022.

Method and materials

Community based unmatched 1:2 case-control study design was conducted between Jan 7and Feb 5/2022 among 428 HHs (144 cases and 284 controls). Cases were selected from HHs who registered for CBHI and currently using CBHI. Controls were from those who do not registered for CBHI membership. Data collected using a semi-structured, interview administered questionnaire. Multivariable logistic regression with SPSS version 25 was employed for analysis and variables were declared statistical significant association at p-value < 0.05, 95% CI.

Result

Data from 428 (144 cases and 284 controls to CBHI) were collected; a response rate of 98.8%. Statistically lower odds of CBHI enrollment was observed among HHs who have poor knowledge [AOR = 0.48 (95% CI:0.27, 0.85)], perceived not respectful care [AOR = 0.44 (95% CI :0.24, 0.81)], unavailability of laboratory services [AOR = 0.37(95% CI:0.21, 0.66)], inappropriate time of premium payment [AOR = 0.31(95% CI:0.18, 0.52)]. In addition, medium wealth status category [AOR = 0.11(95% CI: 0.03, 0.45)]. Higher odd of CBHI enrollment observed among who have formal education [AOR = 2.39(95% CI: 1.28, 4.48)].

Conclusion and recommendation

Educational level, knowledge, time of membership payment, laboratory test availability, perception of respectful care and wealth status were significant determinants of CBHI enrollment status. Hence, the responsible bodies should discuss and decide with community on the appropriate time of premium payment collection, and enhance community education on CBHI benefit package.

Household satisfaction with a pilot community-based health insurance scheme and associated factors in Addis Ababa

Background

Many countries introduce CBHI as their healthcare financing system to ensure healthcare access. Understanding the level of satisfaction and factors associated with it is essential to ensure the sustainability of the program. Therefore, this study aimed to assess household satisfaction with a CBHI scheme and its associated factors in Addis Ababa.

Design and methods

Institutional-based cross-sectional study was conducted in the 10 health centers found in the 10 sub-cities of Addis Ababa. Both quantitative and qualitative methods were used. Logistic regression analysis was carried out to identify its associated factors and thematic analysis was used for qualitative data. Finally, variables with a p-value of <0.05 have been considered statistically significant.

Results

In this study, the overall satisfaction level of households with CBHI was 46.3%. Satisfaction was associated with valid CBHI management regulations (AOR = 1.96, 95% CI: 1.12, 3.46), participants who received the right drug (AOR = 1.77, 95% CI: 1.08, 2.93), households who got immediate care (AOR = 4.95, 95% CI: 2.72, 8.98), those who agreed with the adequacy of medical equipment (AOR = 1.65, 95% CI: 1.02, 2.69), and households who agreed with qualification of health personnel (AOR = 1.89, 95% CI: 1.12, 3.20) were more satisfied with the scheme than their counterparts. The challenges mentioned by the discussants were the shortage of drugs, poor attitude of health professionals, absence of kenema pharmacy, lack of laboratory services, lack of awareness about the CBHI scheme, and tight payment schedule.

Conclusions

the satisfaction level of households was low. To achieve a better result, the concerned bodies should work to improve the availability of medication, and medical equipment and improve the attitude of healthcare workers.

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.

"Magnitude of community-based health insurance utilization and associated factors in Bassona Worena District, North Shoa Zone, Ethiopia: a community-based cross-sectional study"

INTRODUCTION

The health insurance system has been proven to offer effective and efficient health care for the community, particularly community-based health insurance is expected to ensure health care access for people with low economic status and vulnerable groups. Despite the significance of evidence-based systems and implementation, there is a limited report about the magnitude of CBHI utilization. Therefore, this study was done to assess factors associated with community-based health insurance utilization in Basona Worena District, North Shewa Zone, Ethiopia.

METHOD

A community-based cross-sectional study was employed. We have included 530 households from 6 randomly selected kebeles. The data was entered using Epi-Data V 3.1 and exported to SPSS version 20.0 for statistical analysis. Bi-variable and multivariable logistic regression analyses were computed to determine factors associated with community-based health insurance utilization.

RESULT

The study finding shows that 58.6% of the respondents were members of community-based health insurance. Respondents who had primary and secondary education levels were 2 times more likely to be members than those who had no formal education. As compared to those who had awareness, respondents who had no awareness about CBHI were 0.27 times less likely to be insured. Respondents who did not experience illness were 0.27 times less likely to be members than respondents who experienced illness.

CONCLUSION

Educational status, awareness about CBHI, perception of CBHI scheme and illness experience of family influence CBHI utilization. There is a need to strengthen awareness creation to improve the CBHI utilization.

Willingness to pay for community-based health insurance and associated factors in Ethiopia: A systematic review and meta-analysis

In Ethiopia, there is low enrollment and a wide discrepancy in willingness to pay for community-based health insurance schemes, and there is a lack of nationally representative data on willingness to pay for community-based health insurance. Thus, this systematic review and meta-analysis aimed to estimate the pooled prevalence of willingness to pay for community-based health insurance and associated factors in Ethiopia. This was developed using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Databases such as PubMed/Medline, CINAHL, African Journals Online, and Google Scholar searches were performed to retrieve available published and unpublished studies from December 15 to May 17, 2022. Two independent reviewers screened the retrieved articles. Critical quality appraisal was performed using the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument. To investigate the sources of heterogeneity, subgroup analysis and meta-regression were performed based on region, study setting (rural/urban), and sample size. RevMan software and STATA 14 software were used for the statistical analysis. A random-effect model was used to estimate the effect size at a 95% confidence interval. A total of 190 studies were retrieved, and six studies were included in the final meta-analysis. The pooled prevalence of willingness to pay for community-based health insurance was 78 (95% confidence interval: 74, 81). A subgroup analysis by region indicated the lowest proportion of willingness to pay community-based health insurance in the Oromia region, 76% (95% confidence interval: 68, 84), and the highest in the Amhara region, 79% (95% confidence interval: 77, 81). Nearly three in four households were willing to pay for community-based health insurance in Ethiopia. Thus, awareness of willingness to pay community-based health insurance is mandatory to improve the implementation of community-based health insurance.

Towards universal health coverage: The level and determinants of enrollment in the Community-Based Health Insurance (CBHI) scheme in Ethiopia: A systematic review and meta-analysis

Background

Community-based health insurance (CBHI) is a risk-pooling approach that tries to disperse health expenditures across families with varying health profiles to provide greater access to healthcare services by allowing cross-subsidies from wealthy to poor populations. It is crucial to assess the level of CBHI enrolment and its determinants in Ethiopia, where government health spending is limited to less than 5% of GDP, far below the Alma Ata Declaration’s benchmark of 15%. Although various epidemiological studies on CBHI enrolment status and its determinants have been undertaken in Ethiopia, the results have been inconsistent, with significant variability. However, no nationwide study assessing the pooled estimates exists today. Furthermore, the estimated strength of association at the country level varied and was inconsistent across studies. Hence, this systematic review and meta-analysis aimed at estimating the pooled prevalence of CBHI enrolment and its determinants in Ethiopia.

Methods

A comprehensive search of studies was done by using PubMed, EMBASE, Science Direct, HINARI, Scopus, Web of Science, and the Cochrane Library. The database search was complemented by google scholar and some repositories for grey literature. The search was carried out from February 11 to March 12, 2022. The relevant data were extracted using a Microsoft Excel 2013 spreadsheet and analyzed using STATA^TM Version 16. Studies reporting the level and determinants of CBHI enrolment in Ethiopia were considered. A weighted DerSimonian Laired random effect model was applied to estimate the pooled national prevalence of CBHI enrolment. The Cochrane Q test statistics and I² tests were used to assess the heterogeneity of the included studies. A funnel plot, Begg’s and Egger’s tests, were used to check for the presence of publication bias.

Results

Fifteen studies were eligible for this systematic review and meta-analysis with a total of 8418 study participants. The overall pooled prevalence of CBHI enrolment in Ethiopia was 45.5% (95% CI: 32.19, 58.50). Affordability of premium for the scheme[OR = 2.58, 95% CI 1.68, 3.47], knowledge of respondents on the CBHI scheme[OR = 4.35, 95% CI 2.69, 6.01], perceived quality of service[OR = 3.21, 95% CI 2.04, 4.38], trust in the scheme[OR = 2.32, 95% CI 1.57, 3.07], and the presence of a person with a chronic disease in the household [OR = 3.58, 95% CI 2.37, 4.78] were all found to influence CBHI enrolment.

Conclusion

Community health workers (CHWs) need to make a high effort to improve knowledge of CBHI in rural communities by providing health education. To deal with the issue of affordability, due emphasis should be placed on building local solidarity groups and strengthening local initiatives to aid poor members. Stakeholders in the health service delivery points need to focus on the dimensions of high service quality. The financial gap created by the adverse selection of households with chronically ill members should be rectified by implementing targeted subsidies with robust plans.

Health insurance coverage in Ethiopia: financial protection in the Era of sustainable cevelopment goals (SDGs)

BACKGROUND

Health insurance is among the healthcare financing reforms proposed to increase the available healthcare resources and to decrease the risk of household financial crisis. Recently, Ethiopia has been implementing community-based health insurance which mainly targets the very large rural agricultural sector and small and informal sector in urban settings. Therefore, this study was aimed to assess the coverage of health insurance and its determinants in Ethiopia.

METHODS

Data were extracted from the 2019 mini Ethiopian Demographic and Health Survey (EDHS) to assess determinants of health insurance coverage in Ethiopia. The analysis included a weighted sample of 8663 respondents. Multivariable logistic regression analysis was conducted and the results were presented as adjusted odds ratio (AOR) at 95% confidence interval (CI), statistical significance was declared at a p-value < 0.05 in all analyses.

RESULTS

The health insurance coverage in Ethiopia was 28.1% (95%CI: 27.2%, 29%). Administration regions (Tigray: AOR = 16.9, 95%CI: 5.53, 51.59, Amhara: AOR = 25.8, 95%CI: 8.52, 78.02, Oromia, AOR = 4.27, 95%CI: 1.41, 12.92, Southern Nations, Nationalities and Peoples region, AOR = 4.06, 95%CI: 1.34, 12.32, Addis Ababa, AOR = 4.65, 95%CI: 1.46, 14.78), place of residence (rural, AOR = 1.38, 95%CI: 1.17, 1.63), sex of household head (male; AOR = 1.23, 95%CI: 1.07, 1.41), wealth index (middle, AOR = 1.75, 95%CI: 1.46, 2.09, richer, AOR = 1.86, 95%CI: 1.55, 2.24), family size (≥ 5 members, AOR = 1.17, 95%CI: 1.03, 1.33), having under-five children (AOR = 1.22, 95%CI: 1.076, 1.38), and age of household head (31-40 years, AOR = 1.71, 95%CI: 1.45, 2.01, 41-64 years, AOR = 2.49, 95%CI: 2.12, 2.92, 65 + years, AOR = 2.43, 95%CI: 2.01, 2.93) were factors associated with health insurance coverage.

CONCLUSIONS

Less than one-third of Ethiopians were covered by health insurance. Socio-economic factors and demographic factors were found to associate with health insurance coverage in Ethiopia. Therefore, enhancing health insurance coverage through contextualized implementation strategies would be emphasized.

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 .

The Impact of Community-Based Health Insurance on Household's Welfare in Chilga District, Amhara Regional State, Ethiopia

Household welfare is depleted by catastrophic health expenditure by forcing families to reduce the consumption of necessary goods and services, underutilization of health services, and of finally falling into the poverty trap. To mitigate such problem, the Government of Ethiopia launched CBHI schemes. Therefore, this study investigates the household welfare impact of Community based health insurance (CBHI) in the Chilga district. A multi-stage sampling technique was used to select 531 households (of which 356 were treated and 175 control groups). Probit and propensity score matching (PSM) were used to analyze the data. Probit model revealed the following: Level of education, access to credit, chronic disease, insurance premium, awareness, distance to health service, and health service waiting time are significant determinates for being insured in CBHI. The PSM method revealed that the insured households associated with visits increased by 2.6 times, reduced per-capita health expenditure by 17–14% points, increased the per-capita consumption of non-food items by 12–14% points, increased the per-capita consumption of food items by 12–13% points in a given matching algorithm compared to the counterparts. Therefore, CBHI has enhanced service utilization by reducing per-capita health expenditure and increasing consumption per-capita, in general, it improved household welfare. To this end, the results of this study suggested that the government (ministry of health) and concerned bodies (such as NGOs) should extend the coverage and accessibility of CBHI schemes, create aware to the society about CBHI, and subsidize premium costs of the poor.

Factors Associated With Community Based Health Insurance Healthcare Service Utilization of Households in South Gondar Zone, Amhara, Ethiopia. A Community-Based Cross-Sectional Study

In Ethiopia, community-based health insurance was implemented to promote equitable access to sustainable quality health care and increase financial protection. The purpose of this study was to identify factors associated with community-based Health Insurance, Health Care Service Utilization of Households in the South Gondar Zone. A community-based cross-sectional study was employed. Data were collected among 619 randomly selected households in the south Gondar zone. Chi-square and binary logistic regression analyses with a P-Value of less than .05 were used to determine the association. Out of the total households, 511(82.6%) were using the CBHI scheme for health care service utilization. Residence, marital status, education level, occupation status, family size, presence of under-five children in the household, presence of elders in the households, nearest health institution, presence of chronic illness in the household's, time taken to reach health institution, an attitude of a household were the determinant factors of community-based health insurance scheme health care service utilization of households. It is recommended that the local, regional and national governments, policymakers on optimal actions, NGOs, and other supporting organizations shall improve or scale-up the scheme by providing awareness to the community based on these significant factors and the attitude of households.

Factors Associated with the Implementation of an Improved Community Health Fund in the Ubungo Municipality Area, Dar es Salaam Region, Tanzania

Community-based health insurance schemes help households to afford healthcare services. This paper describes healthcare facilities and community factors that are associated with the Improved Community Health Fund (iCHF) scheme in the Ubungo district of Tanzania. A cross-sectional descriptive study was conducted using online questionnaires that were completed by healthcare providers and community members in public-owned healthcare facilities in the Ubungo Municipal Council district of Dar es Salaam, Tanzania, between October and November 2021. The data were analyzed using descriptive statistics and the chi-squared test of association. We found a statistically significant relationship between income level and satisfaction with the iCHF scheme. For community-related factors, income level was statistically significant in the level of involvement in iCHF implementation among local leaders. Further, income level was statistically significant in relation to community behavior/culture toward the iCHF. Occupation was statistically significant in iCHF implementation, iCHF premiums, and iCHF membership size. A statistically significant relationship was also found between income, iCHF membership size, and iCHF premiums. Moreover, people would be willing to pay the required premiums if the quality of the healthcare services under the iCHF scheme improves. Therefore, the government should allocate resources to reduce the challenges that are facing iCHF implementation, such as the preference for a user fee scheme over the iCHF, the issues that are faced by enrollment officers, and inadequate iCHF premiums and membership size.

Scaling up community-based health insurance in Ethiopia: a qualitative study of the benefits and challenges

Background

Ethiopia has achieved impressive improvements in health outcomes and economic growth in the last decade but its total health spending is among the lowest in Africa. Ethiopia launched a Community-Based Health Insurance (CBHI) scheme in 2011 with a vision of reaching 80% of districts and 80% of its population by 2020. This study aimed to identify early achievements in scaling up CBHI and the challenges of such scale-up.

Methods

We interviewed 18 stakeholders working on health financing and health insurance in Ethiopia, using a semi-structured interview guide. All interviews were conducted in English and transcribed for analysis. We performed direct content analysis of the interview transcripts to identify key informants’ views on the achievements of, and challenges in, the scale-up of CBHI.

Results

Implementation of CBHI in Ethiopia took advantage of two key “policy windows”—global efforts towards universal health coverage and domestic resource mobilization to prepare countries for their transition away from donor assistance for health. CBHI received strong political support and early pilots helped to inform the process of scaling up the scheme. CBHI has helped to mobilize community engagement and resources, improve access to and use of health services, provide financial protection, and empower women.

Conclusion

Gradually increasing risk pooling would improve the financial sustainability of CBHI. Improving health service quality and the availability of medicines should be the priority to increase and sustain population coverage. Engaging different stakeholders, including healthcare providers, lower level policy makers, and the private sector, would mobilize more resources for the development of CBHI. Training for operational staff and a strong health information system would improve the implementation of CBHI and provide evidence to inform better decision-making.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07889-4.

Community-Based Health Insurance Utilization and Its Associated Factors among Rural Households in Akaki District, Oromia, Ethiopia, 2021

Background. Community-based health insurance is widely recognized as the most effective way to achieve universal health coverage (UHC) with adequate financial protection against healthcare costs, to promote equal access to high-quality healthcare, increase financial security, and enhance social cohesion and solidarity. Objective. The objective of this study was to determine community-based health insurance utilization and its associated factors among rural households in Akaki District, Oromia special zone surrounding Finfinnee, Oromia, Ethiopia, in May 2021. Methods and Materials. A community based cross-sectional study was conducted on 600 households in May 2021. A multistage sampling technique was used to select households. Data were collected using pretested and standardized questionnaires entered into Epi Info version 7.2.4 and analyzed using SPSS version 26. Bivariate and multivariate logistic regressions were computed to identify the factors associated with community-based health insurance utilization. A $P$ value <0.05 with 95% CI was used as a cut-off point to declare the level of statistical significance. Results. The magnitude of community-based health insurance (CBHI) utilization was 398 (66.3%) (95% CI: 0.63, 0.70). In the multivariate logistic regression analysis, the odds of CBHI utilization for males were 2 times higher (AOR = 1.629; 95% CI: 1.063, 2.497) compared to female-headed households; household family size <5 was 3 times higher (AOR = 2.99; 95% CI: 1.987, 4.139) compared to household family size >5; farmer was 4 times higher (AOR = 3.763; 95% CI: 1.371, 10.327) compared to other occupational status; household income <30,000 ETB was 2 times higher (AOR = 2.474; 95% CI: 1.514, 4.043) compared to the household income of 30000 ETB, and all these were factors significantly associated with CBHI utilization. Conclusion. The magnitude of CBHI utilization was low (66.3%) compared to the HSTP II target (80%) and other studies. The results of the study showed that age, sex, household family size, household income, and trustworthiness were among the factors significantly associated with community-based health insurance utilization.

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.

Barriers and facilitators to health insurance enrolment among people working in the informal sector in Morogoro, Tanzania

Background: Health insurance is a crucial pathway towards the achievement of universal health coverage. In Tanzania, health-financing reforms are underway to speed up universal health coverage in the informal sector. Despite improved Community Health Fund (iCHF) rollout, iCHF enrolment remains a challenge in the informal sector. This study aimed to explore the perspectives of local women food vendors (LWFV) and Bodaboda (motorcycle taxi) drivers on factors that challenge and facilitate their enrolment in iCHF. Methods: A qualitative study was conducted in Morogoro Municipality through in-depth interviews with LWFV (n=24) and Bodaboda drivers (n=26), and two focus group discussions with LWFV (n=8) and Bodaboda drivers (n=8). Theory of planned behaviour (TPB) constructs (attitude, subjective norms, and perceived control) provided a framework for the study and informed a thematic analysis focusing on the barriers and facilitators of iCHF enrolment. Results: The views of LWFV and Bodaboda drivers on factors that influence iCHF enrolment converged. Three main barriers emerged: lack of knowledge about the iCHF (attitude); negative views from friends and families (subjective norms); and inability to overcome challenges, such as the quality and range of health services available to iCHF members and iCHF not being accepted at non-government facilities (perceived control). A number of facilitators were identified, including opinions that enrolling to iCHF made good financial sense (attitude), encouragement from already-enrolled friends and relatives (subjective norms) and the belief that enrolment payment is affordable (perceived control). Conclusions: Results suggest that positive attitudes supported by perceived control and encouragement from significant others could potentially motivate LWFV and Bodaboda drivers to enroll in iCHF. However, more targeted information about the scheme is needed for individuals in the informal sector. There is also a need to ensure that quality health services are available, including coverage for non-communicable diseases (NCDs), and that non-government facilities accept iCHF.

Multilevel population and socioeconomic variation in health insurance coverage in India

OBJECTIVES

This study explores population-level variation in different types of health insurance coverage in India. We aimed to estimate the extent to which contextual factors at community, district, and state levels may contribute to place-based inequalities in coverage after accounting for household-level socioeconomic factors.

METHODS

We used data from the 2015-2016 National Family Health Survey in India, which provides the most recent and comprehensive information available on reports of different types of household health insurance coverage. We used multilevel regression models to estimate the relative contribution of different population levels to variation in coverage by national, state, and private health insurance schemes.

RESULTS

Among 601,509 households in India, 29% reported having coverage in 2015-2016. Variation in each type of coverage existed between population levels before and after adjusting for differences in the distribution of household socioeconomic and demographic factors. For example, the state level accounted for 36% of variation in national scheme coverage and 41% of variation in state scheme coverage after adjusting for household characteristics. In contrast, the community level was the largest contextual source of variation in private insurance coverage (accounting for 24%). Each type of coverage was associated with higher socioeconomic status and urban location.

CONCLUSIONS

Contextual factors at community, district, and state levels contribute to variation in household health insurance coverage even after accounting for socioeconomic and demographic factors. Opportunities exist to reduce disparities in coverage by focusing on drivers of place-based differences at multiple population levels. Future research should assess whether new insurance schemes exacerbate or reduce place-based disparities in coverage.

Factors associated with enrollment for community-based health insurance scheme in Western Ethiopia: Case-control study

INTRODUCTION

Modern health services utilization in developing countries has continued low. Financial shortage to access health-care services might be averted by stirring from out-of-pocket payment for health care at the time of use. The government of Ethiopia; depend greatly on foreign aid (50%) and out-of-pocket payments (34%) to fund health services for its population. This study was aimed to identify factors associated with households' enrollment to CBHI scheme membership.

METHODS

Case-control study design was conducted from May 18-July 27, 2019 among 332 participants (166 enrolled and 166 non-enrolled to CBHI scheme). Simple random sampling technique was used to select the study participants. Bi-variable and multivariable logistic regression model were fitted to identify factors associated with enrollment to community based health insurance. Adjusted odds ratio (AOR) with 95% CI was used to report association and significance was declared at P<0.05.

RESULT

A total of 332 (100% response rate) were involved in the study. Educational status (College and above, AOR = 3.90, 95%CI; 1.19, 12.75), good awareness about CBHI scheme (AOR = 21.595, 95% CI; 7.561, 61.681), affordability of premium payment (AOR = 3.403, 95% CI; 5.638-4.152), wealth index {(Poor, AOR = 2.59, 95%CI; 1.08, 6.20), (Middle, AOR = 4.13, 95%CI; 1.11, 15.32)} perceived health status (AOR = 5.536; 95% CI; 1.403-21.845), perceived quality of care (AOR: 21.014 95%CI; 4.178, 105.686) and treatment choice (AOR = 2.94, 95%CI; 1.47, 5.87) were factors significantly associated with enrollment to CBHI.

CONCLUSION

Enrolment to CBHI schemes is influenced by educational level, awareness level, affordability of premium, wealth index, perceived health status, perceived quality of care and treatment choice. Implementation strategies aimed at raising community awareness, setting affordable premium, and providing quality healthcare would help in increasing enrollment of all eligible community groups to the CBHI scheme.

Health insurance awareness and its uptake in India: a systematic review protocol

INTRODUCTION

Health insurance is one of the important approaches that can help in boosting universal healthcare coverage through improved healthcare utilisation and financial protection. This objectives of this review are to identify various interventions implemented in India to promote awareness of health insurance, and to provide evidence for the effectiveness of such interventions on the awareness and uptake of health insurance by the resident Indian population.

METHODS AND ANALYSIS

A systematic review will be carried out based on the Cochrane handbook for systematic reviews of interventions. The review will include experimental and analytical observational studies that have included adult population (>18 years) in India. We will include any intervention, policy or programme that directly or indirectly affects awareness or uptake of health insurance. The following outcomes will be eligible to be included: awareness or health insurance literacy, attitude such as readiness to buy health insurance or decision making, uptake of health insurance, demand-side and supply-side factors for awareness of health insurance, and awareness as a factor for uptake and re-enrolment in health insurance. Databases such as MEDLINE (PubMed), Web of Science, Scopus, 3ie impact evaluation repository and Social Science Research Network will be searched from January 2010 to 15 July 2020. Additionally, important government websites and references of the included studies will be scanned to identify potential records. Three authors, independently, will carry out screening and data extraction. Studies will be categorised into quantitative and qualitative, and mixed-methods synthesis will be employed to analyse the findings.

ETHICS AND DISSEMINATION

This review will be based on published studies and will not recruit human participants directly, therefore, ethical clearance is not applicable. We will disseminate the final review findings in a national or international conference and publish in a peer-reviewed journal.

Factors affecting enrollment status of households for community based health insurance in a resource-limited peripheral area in Southern Ethiopia. Mixed method

BACKGROUND

Despite the efforts made by the government of Ethiopia, the community-based health insurance (CBHI) enrollment rate failed to reach the potential beneficiaries. Therefore, this study aimed to assess the enrollment status of households for community-based health insurance and associated factors in peripheral areas of Southern Ethiopia.

METHODS

We conducted a community based cross-sectional study design with both quantitative and qualitative methods. Systematic random sampling was employed to select 820 households from 27, April to 12 June 2018. A pretested structured questionnaire, in-depth interview, and focus group discussion guiding tool were used to obtain information. A binary logistic regression model was used to assess the association between independent and outcome variables. A P-Value of less than 0.05 was taken as a cutoff to declare association in multivariable analysis. Qualitative data were analyzed manually using the thematic analysis method.

RESULTS

Out of 820 households, 273[33.30%; 95% CI: 29.9-36.20] were enrolled in the community based health insurance scheme. Having good knowledge [AOR = 13.97, 95%CI: 8.64, 22.60], having family size of greater than five [AOR = 1.88, 95% CI: 1.15, 3.06], presence of frequently ill individual [AOR = 3.90, 95% CI: 2.03, 7.51] and presence of chronic illness [AOR = 3.64, 95% CI: 1.67, 7.79] were positively associated with CBHI enrollment. In addition, poor quality of care, lack of managerial commitment, lack of trust and transparency, unavailability of basic logistics and supplies were also barriers for CBHI enrollment.

CONCLUSION AND RECOMMENDATION

The study found that lower community based health insurance enrollment status. A higher probability of CBHI enrollment among higher health care demanding population groups was observed. Poor perceived quality of health care, poor managerial support and lack of trust were found to be barriers for non-enrollment. Therefore, wide-range awareness creation strategies should be used to address adverse selection and poor knowledge. In addition, trust should be built among communities through transparent management. Furthermore, the quality of care being given in public health facilities should be improved to encourage the community to be enrolled in CBHI.

Community-Based Health Insurance Membership Dropout Rate and Associated Factors in Dera District, Northwest Ethiopia

Background

Community-based health insurance is an emerging strategy for providing financial protection against health-related poverty. They have developed into alternative health financing mechanisms for out-of-pocket expenses in low- and middle-income countries. Hence, the aim of this study was to assess the drop-out rate of community-based health insurance membership and associated factors in Dera district, Northwest Ethiopia, 2020.

Methods

Through systematic random sampling techniques, a community-based cross-sectional study was conducted on 584 participants. A structured interviewer-based administered questionnaire was used for data collection. EpI data is used for data entry, while SPSS 20 version is used for analysis. P-value <0.2 binary logistic regression was entered into multivariable logistic regression. Variables with a P-value of <0.05 and a 95% confidence level were considered to be significantly associated with the outcome variable.

Results

The CBHI dropout rate in the district is calculated to be 37.3% (95% CI: 34, 41%) in the district. Length of enrollment, ≥4 years in the CBHI program (AOR=0.39, 95% CI: 0.26, 0.59), households visit the health facilities 4–6 times a year (AOR=1.92, 95% CI: 1.10, 3.32), have no access to the hospital (AOR=1.68, 95% CI: 1.02, 2.77), knowledge of CBHI (AOR=1.93, 95% CI: 1.32, 2.82) and official position holder for decision-making in the households (AOR=2.07, 95% CI: 1.33, 3.23) were factors associated with CBHI dropout rate in the scheme.

Conclusion

This finding confirmed that the CBHI dropout rate in the district was high. Length of enrollment, health facility visit, hospital accessibility, knowledge of CBHI, and official position holders used for decision-making are significantly associated with the CBHI dropout rate. Therefore, emphasis should be given on improving members’ understanding of the CBHI package of benefits; increasing access to hospitals and empowering women will increase the utilization of CBHI. In addition, the quality of care for CBHI patients can be improved when they had access to health services.

Willingness to Pay for Community-Based Health Insurance Scheme and Associated Factors Among Rural Communities in Gemmachis District, Eastern Ethiopia

Background

In sub-Saharan Africa, out-of-pocket expenditures constitute approximately 40% of total healthcare expenditures, imposing huge financial burdens on the poor. To tackle the effects of out-of-pocket payment for healthcare services, Ethiopia has been focusing on implementation and expansion of a community-based health insurance (CBHI) program since 2011. This study assessed willingness to pay for CBHI scheme and associated factors among rural communities in Gemmachis district, eastern Ethiopia.

Methods

Community-based cross-sectional study was conducted among 446 randomly selected participants in Gemmachis district from April 1 to April 30, 2019. Data were collected from participants using pretested structured questionnaires through face-to-face interview. Data were entered into EpiData version 3.1 and analyzed using SPSS version 24. Bivariable and multivariable logistic regression analyses were conducted to identify factors associated with willingness to pay for CBHI.

Results

A total of 440 (98.7%) participants were involved in the study. Three in every four (74.8%) participants were willing to pay for CBHI (95% CI: 70.7%, 78.9%). Primary education (AOR=5.1, 95% CI: 2.4, 11.1), being merchant (AOR=0.23, 95% CI: 0.10, 0.51), housewife (AOR=3.8, 95% CI: 1.3, 11.0), poor (AOR=2.5, 95% CI: 1.3, 4.7), illness in the last one year (AOR=3.1, 95% CI, 1.9, 5.2), good knowledge about CBHI (AOR=2.3, 95% CI: 1.5, 3.6) and access to public health facility (AOR=2.0,95% CI: 1.1, 3.7) were all significantly associated with willingness to pay for CBHI.

Conclusion

A significant proportion of participants were willing to pay for CBHI scheme. Education, occupation, wealth status, illness in the last one year, knowledge about CBHI and access to healthcare facility were factors significantly associated with willingness to pay for CBHI. If the scheme is to serve as a means to provide access to health service, the premium for membership should be tailored and customized by individual socioeconomic factors.