Background Ideally health insurance aims to provide financial security, promote social inclusion, and ensure equitable access to quality healthcare services for all households. Community-based health insurance has been operating in Ethiopia since 2011. However, its nationwide impact on universal health coverage has not yet been evaluated despite several studies being conducted. Objective We evaluated the impact of Ethiopia’s community-based health insurance (2012–2021) on universal health coverage. Methods On 27 August 2022, searches were conducted in Scopus, Hinari, PubMed, Google Scholar, and Semantic Scholar. Twenty-three studies were included. We used the Joana Briggs Institute checklists to assess the risk of bias. We included cross-sectional and mixed studies with low and medium risk. The data were processed in Microsoft Excel and analyzed using RevMan-5. The impact was measured first on insured households and then on insured versus uninsured households. We used a random model to measure the effect estimates (odds ratios) with a p value < 0.05 and a 95% CI. Results The universal health coverage provided by the scheme was 45.6% (OR = 1.92, 95% CI: 1.44–2.58). Being a member of the scheme increased universal health coverage by 24.8%. The healthcare service utilization of the beneficiaries was 64.5% (OR = 1.95, 95% CI: 1.29–2.93). The scheme reduced catastrophic health expenditure by 79.4% (OR = 4.99, 95% CI: 1.27–19.67). It yielded a 92% (OR = 11.58, 95% CI: 8.12–16.51) perception of health service quality. The health-related quality of life provided by it was 63% (OR = 1.71, 95% CI: 1.50–1.94). Its population coverage was 40.1% (OR = 0.64, 95% CI: 0.41–1.02). Conclusion Although the scheme had positive impacts on health service issues by reducing catastrophic costs, the low universal health coverage on a limited population indicates that Ethiopia should move to a broader national scheme that covers the entire population.

BackgroundEthiopia plans to introduce social health insurance with the aim of giving recipients high-quality, long-term universal health care. It was anticipated to be fully operational in 2014. However, due to strong opposition from public employees, the implementation has been delayed multiple times. As a result, more and more studies have been conducted to collect evidence about the issue. However, there is no national pooled evidence regarding the willingness to pay for the scheme. Thus, this review aimed to evaluate the willingness to pay for social health insurance and associated factors in Ethiopia.MethodsOn September 1, 2022, database searches were conducted on Scopus, Hinari, PubMed, Google Scholar, and Semantic Scholar. Based on this search, 19 studies were included in the review. The risk of bias for the included studies was assessed using Joana Briggs Institute checklists. The data were extracted using Microsoft Excel. RevMan-5 was used to conduct the meta-analysis. The effect estimates assessed were the odds ratios at a p-value &lt;0.05 with a 95% CI using the random effect model.ResultsThe pooled willingness to pay for social health insurance was 42.25% and was found to be affected by sociodemographic, health and illness status, health service related factors, awareness or knowledge level, perception or attitude toward the scheme, and factors related to the scheme. The pooled result showed that the willingness of participants to pay for the scheme was 16% less likely (OR = 0.84; 95% CI: 0.52–1.36). When the outlier was unchecked, the willingness to pay became 42% less likely (OR = 0.58; 95% CI: 0.37–0.91). The lowest willingness to pay for the scheme was in the Oromia region, while the highest was in Harar. Professionally, teachers were 3.22 times more likely to pay for the scheme (OR = 3.22; 95% CI: 1.80–5.76) than health professionals.ConclusionThe willingness to pay for social health insurance was low, &lt;50%, particularly among health professionals, which urges the Ethiopian health insurance service to deeply look into the issue.

Background. Medication nonadherence, being one of the best predictors of hospitalization, increases the mortality rate and hospital readmission and reduces the quality of life of heart failure (HF) patients. Therefore, this study is aimed at assessing medication nonadherence and associated factors among HF patients at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia. Methods. A cross-sectional study was conducted among 245 adult patients with HF from June to August 2017. The data were collected by using the medication Adherence Report Scale (MARS-5) and then entered and analyzed using SPSS® (IBM Corporation) version 24. Summary statistics were presented using frequency, proportion, and mean. Binary logistic regression analysis was done for identifying factors associated with medication nonadherence with a 95% confidence level and p value of less than 0.05. Results. Among 245 patients with HF, about a quarter (23.7%) of them were medication nonadherent. More than one-third (37%) of HF patients had a history of at least one HF medication discontinuation. Refilling problems (48%) and getting better from the illness (27%) were the most commonly reported reasons for nonadherence. Presence of comorbidity ( AOR = 2.761 ; 95 % CI = 1.364 , 5.589), taking three or more types of medication ( AOR = 2.805 ; 95 % CI = 1.404 , 5.60), and being unmarried ( AOR = 2.638 , 95 % CI = 1.279 , 5.443) was significantly associated with medication nonadherence. Conclusion. The self-reported medication nonadherence among HF patients was considerably high. Refilling problems and getting better from the illness were the most commonly reported reasons for nonadherence. The presence of comorbid illness, taking three or more types of medication, and being unmarried was significantly associated factors of medication nonadherence. Awareness creation among patients on the importance of medication adherence and targeted efforts to assess and mitigate reasons for medication nonadherence may be helpful.

Background The viability of community-based health insurance programs depends on beneficiary satisfaction, and healthcare systems evaluate performance through patient reports and ratings to ensure effectiveness and service quality. To our knowledge, Ethiopia lacks national pooled data on the satisfaction of community-based health insurance beneficiaries and related factors; this review aims to address that gap. Methods Database searches on Scopus, Hinari, PubMed, Google Scholar, and Semantic Scholar were conducted on September 1st, 2022. Thirteen studies were chosen for review from the search results. Checklists from the Joan Briggs Institute were used to evaluate the risk of bias for the included studies. The data were extracted using a 2019 Microsoft Excel spreadsheet and analyzed using RevMan-5 software and STATA 17. The odds ratios at p-values less than 0.05 with a 95% confidence interval were used to evaluate the effect estimates. Results The pooled satisfaction of beneficiaries with community-based health insurance was found to be 66.0% (95% CI = 0.57–0.76) and was found to be influenced by socio-demographic, health service-related, the scheme’s related factors, and the beneficiaries' knowledge of it. The beneficiary satisfaction levels were highest in the Amhara region, at 69.0% (95% CI = 0.59–0.79), followed by SNNPR at 67.0% (95% CI = 0.40–0.94), Oromia at 63.0% (95% CI = 0.58–0.68), and Addis Ababa at 53.0% (95% CI = 0.45–0.62). Conclusion Even though there was a moderate level of satisfaction, there are indications that the quality of health services and the coverage of the entire population lag behind, necessitating greater efforts to achieve universal health coverage.