Background: A community-based health insurance scheme is an effective way to achieve universal health service coverage by offering financial protection against healthcare costs. This study aimed to assess the voluntary enrollment and associated factors in community-based health insurance in the Lideta sub-city. Methods: A cross-sectional study was conducted from July 23 to August 26, 2024, using a stratified sampling method followed by simple random sampling on 643 participants using a structured, pre-tested closed questionnaire. Data was collected by Kobo Toolbox software and exported to STATA version 17.0 for analysis. Descriptive analysis and cross-tabulation was performed to present the data. Both bivariate and multivariate logistic regression analyses were computed with a 95% confidence interval. Variables with a p-value of less than 0.05, along with their Adjusted Odds Ratios (AOR), were identified as predictors of the outcome variables in the study. Results: In the current study the voluntary enrollment rate in community based health insurance was 68.6%. In the study, as age increased in one year, enrollment increased by 0.033 [95% CI: 0.006, 0.056]; the higher income indicating 0.771 [95% CI: -1.862, 0.848] increased enrollment in community based health insurance keeping other variables constant. However, availability [-0.551, (95% CI: -1.053, 0.078)], and accessibility [-0.565, (95% CI: -1.097, -0.005)] of quality health services are negatively correlated with enrollment in community based health insurance. Conclusions and Recommendations: The voluntary enrollment rate in community-based health insurance services was 68.6%. Age and income were positively associated with enrollment, while accessibility and the availability of quality healthcare were negatively associated. Therefore, the relevant organizations and stakeholder should take the following actions as recommendations: launch targeted awareness campaigns, address barriers for waiting time, enhance strategies that improve service availability and accessibility, and offer subsidy methods, and conduct qualitative research such as in-depth individual interviews and delphi technique to further explore the barrier for community based health insurance enrollment to gain further insights.
Published in | Biomedical Statistics and Informatics (Volume 10, Issue 2) |
DOI | 10.11648/j.bsi.20251002.14 |
Page(s) | 46-55 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Community-based Health Insurance, Enrolment, Health Service Utilization, Lideta Sub- city
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APA Style
Hassan, M., Derbie, A., Taresa, A., Regasa, D. (2025). Assessment of Voluntary Enrollment and Associated Factors in Community-based Health Insurance in Lideta Sub-city, Addis Ababa, Ethiopia. Biomedical Statistics and Informatics, 10(2), 46-55. https://doi.org/10.11648/j.bsi.20251002.14
ACS Style
Hassan, M.; Derbie, A.; Taresa, A.; Regasa, D. Assessment of Voluntary Enrollment and Associated Factors in Community-based Health Insurance in Lideta Sub-city, Addis Ababa, Ethiopia. Biomed. Stat. Inform. 2025, 10(2), 46-55. doi: 10.11648/j.bsi.20251002.14
@article{10.11648/j.bsi.20251002.14, author = {Mohammed Hassan and Abebe Derbie and Asefa Taresa and Dawit Regasa}, title = {Assessment of Voluntary Enrollment and Associated Factors in Community-based Health Insurance in Lideta Sub-city, Addis Ababa, Ethiopia }, journal = {Biomedical Statistics and Informatics}, volume = {10}, number = {2}, pages = {46-55}, doi = {10.11648/j.bsi.20251002.14}, url = {https://doi.org/10.11648/j.bsi.20251002.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20251002.14}, abstract = {Background: A community-based health insurance scheme is an effective way to achieve universal health service coverage by offering financial protection against healthcare costs. This study aimed to assess the voluntary enrollment and associated factors in community-based health insurance in the Lideta sub-city. Methods: A cross-sectional study was conducted from July 23 to August 26, 2024, using a stratified sampling method followed by simple random sampling on 643 participants using a structured, pre-tested closed questionnaire. Data was collected by Kobo Toolbox software and exported to STATA version 17.0 for analysis. Descriptive analysis and cross-tabulation was performed to present the data. Both bivariate and multivariate logistic regression analyses were computed with a 95% confidence interval. Variables with a p-value of less than 0.05, along with their Adjusted Odds Ratios (AOR), were identified as predictors of the outcome variables in the study. Results: In the current study the voluntary enrollment rate in community based health insurance was 68.6%. In the study, as age increased in one year, enrollment increased by 0.033 [95% CI: 0.006, 0.056]; the higher income indicating 0.771 [95% CI: -1.862, 0.848] increased enrollment in community based health insurance keeping other variables constant. However, availability [-0.551, (95% CI: -1.053, 0.078)], and accessibility [-0.565, (95% CI: -1.097, -0.005)] of quality health services are negatively correlated with enrollment in community based health insurance. Conclusions and Recommendations: The voluntary enrollment rate in community-based health insurance services was 68.6%. Age and income were positively associated with enrollment, while accessibility and the availability of quality healthcare were negatively associated. Therefore, the relevant organizations and stakeholder should take the following actions as recommendations: launch targeted awareness campaigns, address barriers for waiting time, enhance strategies that improve service availability and accessibility, and offer subsidy methods, and conduct qualitative research such as in-depth individual interviews and delphi technique to further explore the barrier for community based health insurance enrollment to gain further insights. }, year = {2025} }
TY - JOUR T1 - Assessment of Voluntary Enrollment and Associated Factors in Community-based Health Insurance in Lideta Sub-city, Addis Ababa, Ethiopia AU - Mohammed Hassan AU - Abebe Derbie AU - Asefa Taresa AU - Dawit Regasa Y1 - 2025/06/06 PY - 2025 N1 - https://doi.org/10.11648/j.bsi.20251002.14 DO - 10.11648/j.bsi.20251002.14 T2 - Biomedical Statistics and Informatics JF - Biomedical Statistics and Informatics JO - Biomedical Statistics and Informatics SP - 46 EP - 55 PB - Science Publishing Group SN - 2578-8728 UR - https://doi.org/10.11648/j.bsi.20251002.14 AB - Background: A community-based health insurance scheme is an effective way to achieve universal health service coverage by offering financial protection against healthcare costs. This study aimed to assess the voluntary enrollment and associated factors in community-based health insurance in the Lideta sub-city. Methods: A cross-sectional study was conducted from July 23 to August 26, 2024, using a stratified sampling method followed by simple random sampling on 643 participants using a structured, pre-tested closed questionnaire. Data was collected by Kobo Toolbox software and exported to STATA version 17.0 for analysis. Descriptive analysis and cross-tabulation was performed to present the data. Both bivariate and multivariate logistic regression analyses were computed with a 95% confidence interval. Variables with a p-value of less than 0.05, along with their Adjusted Odds Ratios (AOR), were identified as predictors of the outcome variables in the study. Results: In the current study the voluntary enrollment rate in community based health insurance was 68.6%. In the study, as age increased in one year, enrollment increased by 0.033 [95% CI: 0.006, 0.056]; the higher income indicating 0.771 [95% CI: -1.862, 0.848] increased enrollment in community based health insurance keeping other variables constant. However, availability [-0.551, (95% CI: -1.053, 0.078)], and accessibility [-0.565, (95% CI: -1.097, -0.005)] of quality health services are negatively correlated with enrollment in community based health insurance. Conclusions and Recommendations: The voluntary enrollment rate in community-based health insurance services was 68.6%. Age and income were positively associated with enrollment, while accessibility and the availability of quality healthcare were negatively associated. Therefore, the relevant organizations and stakeholder should take the following actions as recommendations: launch targeted awareness campaigns, address barriers for waiting time, enhance strategies that improve service availability and accessibility, and offer subsidy methods, and conduct qualitative research such as in-depth individual interviews and delphi technique to further explore the barrier for community based health insurance enrollment to gain further insights. VL - 10 IS - 2 ER -