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

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.

Financing and provision of healthcare for two billion people in low-income nations: Is the cooperative healthcare model a solution?

The international consensus in support of universal health coverage (UHC), though commendable, thus far lacks a clear mechanism to finance and deliver accessible and effective basic healthcare to the two billion rural residents and informal workers of low- and lower-middle-income countries (LLMICs). Importantly, the two preferred financing modes for UHC, general tax revenue and social health insurance, are often infeasible for LLMICs. We identify from historical examples a community-based model that we argue shows promise as a solution to this problem. This model, which we call Cooperative Healthcare (CH), is characterized by community-based risk-pooling and governance and prioritizes primary care. CH leverages communities' existing social capital, such that even those for whom the private benefit of enrolling in a CH scheme is outweighed by the cost may choose to enroll (given sufficient social capital). For CH to be scalable, it needs to demonstrate that it can organize delivery of accessible and reasonable-quality primary healthcare that people value, with management accountable to the communities themselves through structures that people trust, combined with government legitimacy. Once LLMICs with CH programs have industrialized sufficiently to make universal social health insurance feasible, CH schemes can be rolled into such universal programs. We defend cooperative healthcare's suitability for this bridging role and urge LLMIC governments to launch experiments testing it out, with careful adaptation to local conditions.

Effectiveness and impact of community-based health insurance on health service utilization in northwest Ethiopia: a quasi-experimental evaluation

Background

Addressing the health challenges of lower socioeconomic groups in Ethiopia is still a huge problem. In that regard, the government piloted the community-based health insurance (CBHI) in 2011 in a few districts and subsequently scaled up. However, the effectiveness of the program on the utilization of health services and its impact was not well explored. Thus, we aimed to evaluate the effectiveness of CBHI toward health services' utilization and its impact in northwest Ethiopia.

Methods

A quasi-experimental matched comparison group evaluation design with sequential explanatory mixed methods was employed. To evaluate the CBHI program, the effectiveness and impact dimensions from the Organization for Economic Cooperation and Development framework were used. A multistage sampling technique was used to select a total of 332 households enrolled in the CBHI program; 341 comparison households who did not enroll in the program were also randomly selected. A structured interviewer-administrated questionnaire was used to evaluate the effectiveness and impact of CBHI on health service utilization. The Propensity score matching model was employed for the estimation of the effect of the CBHI program on health service utilization. Challenges for program achievement toward health service utilization were explained through qualitative data and these were then analyzed thematically.

Results

The evaluation showed 1.3 visits per capita per year of health service utilization among CBHI members. Households enrolled in CBHI increased health service utilization by 6.9 percentage points (ATT = 0.069; 95% CI: 0.034, 0.114). There was an improvement in health service utilization after the introduction of CBHI, however, there are challenges: (i) shortage of human resources, (ii) out-of-stock of drugs and medical supplies, and (iii) long waiting times for service and reimbursement claims. These issues limit the success of the program toward health service utilization.

Conclusion

The CBHI program contributed to health service utilization improvement among CBHI members. However, the utilization rate of health services among CBHI members is still less than the target stated for the program and also the WHO recommendation. Therefore, the findings of this evaluation can be used by program implementers, policy makers, and other stakeholders to overcome the identified challenges and to increase the success of the program.

Making health insurance responsive to citizens: the management of members' complaints by mutual health organisations in Kinshasa, Democratic Republic of Congo

INTRODUCTION

In moving towards universal health coverage, a number of low-income and middle-income countries have adopted community-based health insurance (CBHI) as a means to reduce both the inequity in healthcare access and the burden of catastrophic health expenditures linked to user fees. However, organisations managing CBHIs face many challenges, including a poor relationship with their members. In the Democratic Republic of the Congo, CBHI schemes are managed by mutual health organisations (MHOs) and are in the process of enhancing their accountability and responsiveness to members' needs and expectations. This study assessed how MHOs have managed member complaints and their performance in grievance redressal.

METHODS

Using a sequential mixed-methods approach, we drew insights from four types of sources: review of approximately 50 relevant documents, 25 in-depth interviews (IDIs) with CBHI managers, 9 IDIs with health facility managers, 1063 surveys of MHO members and 15 focus group discussions (FGDs) comprising an additional 153 MHO members. MHO members in this study belonged to three different MHOs (Lisanga, La Borne and Mutuelle de santé des Enseignants de l'Enseignement Primaire, Secondaire et Professionnel) in the capital, Kinshasa.

RESULTS

The document review showed that there were no clear administrative processes for the implementation of the grievance redressal arrangement measures resulting in low member awareness of these measures. These results were confirmed by the IDIs. Of 1044 members surveyed, only 240 (23%) were aware of the complaint measures, and 201 (84%) of these declared they had used the measures at some point in time, 181/201 (90%) users who had used the measures declared being satisfied with the response provided. The FGDs confirmed that most members lack knowledge on the grievance redressal procedures, but those who were aware had made use of them and were often satisfied with the response provided.

CONCLUSION

MHOs should urgently improve communication with their members on the range of redressal measures put in place to address grievances. Attention should be given to properly monitor existing arrangements, and possibly adapt them with well-documented and communicated standard operating procedures.

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 full immunization coverage among children 12-23 months of age from deviant mothers/caregivers in Ethiopia: A multilevel analysis using 2016 demographic and health survey

Background

Despite remarkable improvements in child health services utilization, childhood immunization has been poorly implemented in Ethiopia. However, evidence on the coverage of immunization among children from mothers/caregivers with no education (non-educated mothers were the most identified risk for underutilization of services) are scarce. Therefore, this study aimed to assess the determinants of full immunization coverage among children 12-23 months of age from deviant mothers/caregivers in Ethiopia.

Methods

We analyzed data from the 2016 Ethiopia Demographic and Health Survey (EDHS) on a sample of 1,170 children 12-23 months of age identified from deviant mothers/caregivers (mothers/caregivers with no education) through a two-stage stratified sampling. A multilevel mixed-effect binary logistic regression analysis was used to identify the individual and community level determinants of full immunization coverage among children 12-23 months of age with their deviant mothers/caregivers. In the final model, a p-value of < 0.05 and adjusted odds ratio (AOR) with 95% confidence interval (CI) were used to select statistically significant determinants of full immunization coverage.

Results

The overall full immunization coverage among children 12-23 months of age identified from deviant mothers/caregivers was 27.4% (95%CI: 25.0, 31.0) in Ethiopia. Deviant mothers/caregivers who are employed (AOR = 1.69, 95%CI: 1.68, 2.45), being in the rich household wealth status (AOR = 2.54, 95%CI: 1.53, 4.22), residing in city (AOR = 5.69, 95%CI: 2.39, 13.61), having one to three (AOR: 3.28, 95% CI: 2.12-5.07) and four and more ANC follow-up during the recent pregnancy (AOR: 3.91, 95% CI: 2.45, 6.24) were the determinants that increased full immunization coverage among children 12-23 months of age.

Conclusions

Full immunization coverage among children 12-23 months of age from non-educated mothers/caregivers was low and far behind the national target of coverage. Therefore, a system-wide intervention should be used to enhance employability, wealth status, and key maternal health services like ANC follow-up among non-educated mothers/caregivers to increase their children's full immunization coverage.

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.

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.

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.

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 .

Contributions and challenges of healthcare financing towards universal health coverage in Ethiopia: a narrative evidence synthesis

Background

High burden of healthcare expenditure precludes the poor from access to quality healthcare services. In Ethiopia, a significant proportion of the population has faced financial catastrophe associated with the costs of healthcare services. The Ethiopian Government aims to achieve universal health coverage (UHC) by 2030; however, the Ethiopian health system is struggling with low healthcare funding and high out-of-pocket (OOP) expenditure despite the implementation of several reforms in health care financing (HCF). This review aims to map the contributions, successes and challenges of HCF initiatives in Ethiopia.

Methods

We searched literature in three databases: PubMed, Scopus, and Web of science. Search terms were identified in broader three themes: health care financing, UHC and Ethiopia. We synthesised the findings using the health care financing framework: revenue generation, risk pooling and strategic purchasing.

Results

A total of 52 articles were included in the final review. Generating an additional income for health facilities, promoting cost-sharing, risk-sharing/ social solidarity for the non-predicted illness, providing special assistance mechanisms for those who cannot afford to pay, and purchasing healthcare services were the successes of Ethiopia’s health financing. Ethiopia's HCF initiatives have significant contributions to healthcare infrastructures, medical supplies, diagnostic capacity, drugs, financial-risk protection, and healthcare services. However, poor access to equitable quality healthcare services was associated with low healthcare funding and high OOP payments.

Conclusion

Ethiopia's health financing initiatives have various successes and contributions to revenue generation, risk pooling, and purchasing healthcare services towards UHC. Standardisation of benefit packages, ensuring beneficiaries equal access to care and introducing an accreditation system to maintain quality of care help to manage service disparities. A unified health insurance system that providing the same benefit packages for all, is the most efficient way to attain equitable access to health care.

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.

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.