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March 25, 20260 citationsOpen Access

Assessments of Healthcare Service Utilization and Associated Factors Among Members and Non-members of Community-based Health Insurance in Addis Ababa Ethiopia

AAAbdulwahid AbdoGEGetabalew Endazenaw

Key Points

  • This study aims to assess healthcare service utilization and identify factors influencing this utilization among community-based health insurance members and non-members.
  • Conducted a community-based comparative cross-sectional study.
  • Utilized multistage sampling to select 366 households (183 insured, 183 uninsured).
  • Collected data through face-to-face interviews using structured questionnaires.
  • Analyzed data using EPI INFO v7 and SPSS v25 with descriptive statistics, t-tests, and logistic regression.
  • 354 households participated, yielding a response rate of 97.5%.
  • Healthcare service utilization was 73.6% among CBHI members versus 55.7% for non-members.
  • Significant predictors for CBHI members included the sex of the household head and presence of illness.
  • For non-members, significant predictors were sex, marital status, and chronic illness.

Abstract

Background: Community-based health insurance is designed to provide financial protection and reduce out-of-pocket payments for health care. Direct out-of-pocket payments for health care restrict access to health services and compromise household wellbeing. Objective: To assess healthcare service utilization and associated factors among members and non-members of community-based health insurance in Addis Ababa, Ethiopia, in 2025. Method: A community-based comparative cross-sectional study was conducted from March 6 to April 8, 2021. Multistage sampling was used to select 366 households (183 insured, 183 uninsured). Data were collected through face-to-face interviews using a structured questionnaire. Data entry and analysis were performed using EPI INFO v7 and SPSS v25, respectively. Descriptive statistics, two-sample t-tests, and logistic regression were used. Results: A total of 354 households (178 insured, 176 uninsured) participated, yielding a response rate of 97.5%. Healthcare service utilization was significantly higher among CBHI members (73.6%) compared to non-members (55.7%) (t = –3.579, p 0.05). For CBHI members, significant predictors included sex of household head and presence of illness episode. For non-members, sex, marital status, and chronic illness were significant predictors. Conclusion: CBHI membership is significantly associated with higher healthcare service utilization. Expanding CBHI coverage and addressing financial and perceptual barriers are recommended to improve healthcare access.

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Cite This Study

Abdo et al. (2026) studied this question.

synapsesocial.com/papers/69c37b33b34aaaeb1a67d629https://doi.org/10.11648/j.sdph.20260101.13
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