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Original Research

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

, &
Pages 2835-2844 | Published online: 04 Dec 2020
 

Abstract

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.

Acknowledgments

The authors would like to thank the data collectors and all respondents for their willingness to participate in this study. We also thanked all District health office staff, ARHB and other individuals for their contributions to this research and the material and ultimate support provided by the University of Gondar.

Abbreviations

AOR, adjusted odds ratio; CBHI, community-based health insurance; CI, confidence interval; COR, crude odd ratio; LMICs, lower- and middle-income countries; OOP, out-of-pocket payment; PCA, principal component analysis; SPSS, Statistical Package for Social Sciences; SSA, sub-Saharan Africa; UHC, universal health coverage; WHO, World Health Organization.

Data Sharing Statement

Data will be available upon request from the corresponding authors.

Consent for Publication

Not applicable.

Author Contributions

All authors made a substantial contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest for this work.

Additional information

Funding

There was no fund for this study.