Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Abdilwohab MG

PROVIDER: S-EPMC7833211 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

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

Abdilwohab Mustefa Glagn MG Abebo Zeleke Hailemariam ZH Godana Wanzahun W Ajema Dessalegn D Yihune Manaye M Hassen Hadiya H

PloS one 20210125 1

<h4>Background</h4>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.<h4>Methods</h4>We conducted a community based cross-sectional study design with both quantitative and qualitative methods. Systematic random sam ...[more]

PMID: 33493240

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Project description:The trust that potentially community-based health insurance (CBHI) members have in the actual health insurance scheme is a crucial determinant for members who decided to enroll and continue being members of the scheme. While the literature on health insurance in low-income countries mentions the importance of trust in consumers’ decision to insure, to date the association between trust and trust-building factors has not been researched in the Ethiopian context. Therefore, the objective of this study was to assess the factors affecting households’ trust in the CBHI scheme in Ethiopia. A community-based cross-sectional study design was employed to collect data from 617 household heads from March 1–30, 2020. A multistage sampling technique was carried out and interviewer-administered questionnaires were used to collect data. Descriptive statistics and multivariable linear regression analyses were performed, and variables with a P-value < 0.05 were considered to have a statistically significant association with trust in the CBHI scheme. A household survey resulted in 617 households being interviewed making a response rate of 97.3%. The mean age of the respondents was 44.7 (SD°11.2) years and the majority of the respondents were Oromo 528(85.6%). Holding other covariant fixed, educational level of household head (ß = 0.17, 95% CI:0.14–0.32), members’ satisfaction with past experience (ß = 0.40, 95%CI:0.41–0.57), favorable attitude toward CBHI (ß = 0.31, 95%CI:0.12–0.49), perceived quality of service (ß = 0.15, 95% CI:0.02–0.29) and dropout from CBHI (ß = -0.23, 95%CI:- 0.41–- 0.05) were covariant that had an association with trust in the CBHI scheme. This study found that the educational level of the household head, members’ satisfaction with past experience, members’ attitude toward CBHI, perceived quality of services and dropout from CBHI were covariant that were affecting trust in the CBHI scheme. Therefore, if the scheme wants to build trust and maintain membership, great attention should be given toward the improvement of the quality of service and attitude of members towards the CBHI scheme. These findings suggest that CBHI managers, different health insurance agencies, providers and policymakers need to think systematically about a wide range of initiatives that enhance trust and caring, and to design trust-building structures and practices that sustain the CBHI scheme.

Project description:BACKGROUND:In absence of any form of health insurance, out-of-pocket payments for health care lead to decreased use of health services and catastrophic health expenditures. Community-based health insurances has been promised financial model for informal sectors to reduce these problems in many countries. When this comes down to Ethiopia, in the South Nation Nationality People's Region of the country established 52 schemes including Boricha district, the study area However, there has been little evidence about the enrollment status and the associated factors in the study area in particular elsewhere in general. OBJECTIVE:The study aims to assess the current enrollment status of households in community based health insurance and the associated factors in Boricha district of Sidama Zone, Southern Ethiopia. METHODS AND MATERIALS:A community based cross-sectional study design was employed from February 01, 2019 to March 31, 2019, using a sample of 632 households. Data were collected using interviewer-administered pre-tested questionnaire and entered into EPI-Info 7and transported to SPSSversion20 for analysis. Multi-variable logistic regression analysis along with odds ratio and the corresponding 95% CI was conducted and significance was declared at P-value <0.05. RESULTS:Current enrollment status of households in community based health insurance was found to be 81 (12.8%). According to this study, educational status; secondary school& above[AOR = 2.749, 95%CI(1.142, 6.618)], timing of collecting premium [AOR = 0.433; 95% CI (0.196, 0.958)], family size ≥5, [AOR = 4.16;95%CI (1.337, 12.944)], no trust on scheme management[AOR = 0.272; 95%CI (0.140, 0.528)], lack of information [AOR = 0.086; 95%CI (0.026, 0.288)], dissatisfaction with health care service received[AOR = 0.303; 95%CI (0.171, 0.537)], no chronic illness in the family[AOR = 0.259; 95%C.I.(0.137, 0.488)] were factors significantly associated with current enrollment status in CBHI. CONCLUSIONS:Households head's education status, timing of premium collection, family size, no trust on scheme management, lack of information, services dissatisfaction and chronic illness in the family member were the identified factors associated with enrollment in CBHI in the study area. Therefore, to enhance the enrollment and sustainability of CBHI in the study area awareness creation, improving timing of premium collection, strengthening scheme management, improving quality of service are the areas that decision makers needs to intervene.

Project description:IntroductionCommunity-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.MethodsData 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.ResultThe 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.ConclusionBoth 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.

Project description:BackgroundCommunity-based health insurance programs are being acknowledged as effective strategies to attain universal health coverage and mitigate the financial catastrophic shock of the community. Even though Ethiopia has been focusing on the implementation and expansion of a community-based health insurance (CBHI) program since 2011, only a small number of people are enrolled, which might be attributed to a lack of willingness towards the program. The purpose of this study is to determine the willingness to pay for community-based health insurance and associated factors among households in the rural community of Gombora District, Hadiya Zone, southern Ethiopia.MethodsUsing the multistage systematic random sampling technique, a sample of 421 households was chosen for a community-based cross-sectional study. The desired information was gathered using a pre-tested, structured, interviewer-administered questionnaire. The data was entered using Epi-Data V3.1 and exported to SPSS version 24.0 for statistical analysis. Bivariable and multivariable logistic regression analyses were performed to determine the variables associated with the willingness to pay for community-based health insurance.ResultsThe study showed that 67.1% of respondents expressed a willingness to pay for community-based health insurance. The mean amount of money they are willing to pay for the scheme is 178.41 (± 57.21) Ethiopian Birr (ETB), or 6.43 (± 2.06) USD per household per annum in 2020. Based on multiple logistic regression analysis, belonging to Rich household compared to poor (AOR: 2.78, 95% CI: 1.54, 5.03), having a household head who can read and write (AOR: 2.90, 95% CI: 1.39, 6.05), family size greater than five (AOR: 1.76, 95% CI: 1.06, 2.92), indigenous community insurance (iddir) participation (AOR: 2.83, 95% CI: 1.61, 4.96), and the presence of chronic illness (AOR: 1.94, 95% CI: 1.21, 3.12), were significantly associated with the willingness to pay for a CBHI scheme.ConclusionHouseholds' willingness to pay for a CBHI scheme was found to be significantly influenced by poor household wealth status, household heads who cannot read and write, households with less than or equal to five family members, households who participate in greater or equal to two indigenous community insurance participations, and the absence of chronic illness within the household. Therefore, factors affecting households' willingness to pay should be considered and massive community mobilization needs to be done to strengthen and increase household membership during the implementation of the CBHI scheme, especially in rural areas.

Project description:BackgroundCommunity-based Health Insurance (CBHI) is a voluntary prepayment mechanism that guarantees the provision of basic healthcare services without financial barriers to underserved segments of the population in developing countries. The Government of Ethiopia launched the CBHI program to protect the community from high out-of-pocket health expenditure and improve health service utilization a decade ago. However, to improve the quality of healthcare services delivery in health facilities and cover the changing costs of healthcare, the government should revise the contribution of the CBHI scheme. Therefore, we determined the willingness to pay for a CBHI scheme and associated factors among rural households of Lemu and Bilbilo district, South Central Ethiopia.MethodsWe conducted a community-based cross-sectional study design to assess willingness to pay for the CBHI scheme and its associated factors among households in Lemu and Bilbilo districts, South Central Ethiopia. We used a double bounded contingent valuation method to elicit households' willingness to pay for the CBHI scheme. Data were coded, cleaned, entered into Statistical Package for Social Science (SPSS) version 25, and exported to STATA 16 for analysis. A logistic regression analysis was conducted to determine the presence of statistically significant associations between the willingness to pay for the CBHI scheme and independent variables at a p-value <0.05 and Adjusted odds ratio (AOR) values with 95% CI. Finally, we checked the fitness of the model using Hosmer and Lemeshow's goodness-of-fit test.ResultsOf the 476 study participants, 82.9% (95% CI: 79.2%, 86.01%) were willing to pay for the CBHI scheme and only 62% of them can afford the average amount of 358.32ETB ($7.68) per household per annum. Primary education (AOR = 3.17; 95% CI: 1.74-5.80), secondary and above education (AOR = 4.13; 95% CI: 1.86-9.18), large family size (AOR = 2.75; 95% CI: 1.26-5.97), monthly income of 500-1000ETB (AOR = 3.75; 95% CI: 1.97-7.13) and distance to public health facilities (AOR = 2.14, 95% CI: 1.04-4.39 were significantly associated with willingness to pay for the CBHI scheme.ConclusionIn this study, around 83% of respondents were willing to pay for the CBHI and meet the government expectation for 2020. The study also revealed that educational status, family size, monthly income, and distance from the health facilities were significant factors associated with WTP for the CBHI scheme. In addition, we found that a large number of the respondents couldn't afford the average amount of money that the participants were willing to pay for the CBHI scheme. So, the government should consider the economic status of the communities while revising the CBHI scheme premium not to miss those who cannot afford the contribution.

Project description:BackgroundDespite it is easily preventable; malaria is still remains to be a major public health problem in globally as well as in Ethiopia. The disease can be easily prevented through individual and societal combined efforts by keeping the environment safe, effective utilization of long lasting Insecticide Nets and early treatment. However, the factors for poor knowledge and practices of malaria prevention is not well studied in Ethiopia; particularly, in the study area. Hence, this study aimed to provide concrete evidence towards malaria prevention practices and associated factors among Households of Hawassa City Administration, Southern Ethiopia, 2020.MethodA community-based cross-sectional study was conducted among a randomly selected 598 households at Hawassa City Administration from April 1-15, 2020. Multistage sampling technique was employed to recruit the study households. Data were collected by trained data collectors through a face-to-face interview with pretested structured questionnaire, which was adapted from previous peer reviewed articles. Then the data were checked for the completeness and consistencies, then, coded and entered into Epi data 3.1 and it was exported to SPSS IBM version 23 for analysis. Descriptive mean with standard deviation was used to summarize the continuous variables. Bivariable and multivariable logistic regression model was used to assess factors affecting prevention and control of Malaria. Finally, adjusted odds ratio together with 95% CI and p-value <0.05 was used to declare the statistical significances.ResultsThe overall 317 (54.3%) of households practiced good measure of malaria prevention and control measures. Urban residence [AOR = 1.95 (95%CI: 1.17-3.24)], Secondary school completed [AOR = 5.02(95%CI 2.24-12.03)], Tertiary school completed [AOR = 7.27(95%CI: 2.84-18.55)], Positive Attitude [AOR = 8.20(95%CI: 5.31-12.68)] and Good knowledge about malaria [AOR = 2.81(95%CI: 1.78-4.44)] were significantly associated with malaria prevention practices.ConclusionsNearly half of the households were still practiced poor measure of malaria prevention and control measures. Hence, health officials and stake holders need attention by providing continuous health education and follow up to control malaria.

Dataset Information

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

Background

Methods

Results

Conclusion and recommendation

Publications

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

Similar Datasets

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