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Background: Achieving viral load suppression is crucial for the prevention of complications and deaths related to HIV infection. Ethiopia has embraced the worldwide 95-95-95 target, but there is no national representative information regarding virological suppression. Therefore, this review aims to determine the pooled virological suppression rate and identify the pooled effect of contributing factors of viral suppression for HIV-positive patients on antiretroviral therapy in Ethiopia. Methods: We systematically searched websites and databases, including online repositories, to obtain primary studies. Two reviewers assessed the quality of the included articles using the Newcastle-Ottawa Scale appraisal checklist. Publication bias was checked using Egger's regression test, the heterogeneity of the studies was assessed using I2 statistics and Q statistics, and a sensitivity analysis was performed to identify any outlier results in the included studies. The Der Simonian Laird random-effects model was used to estimate the overall proportion of viral suppression, and STATA 17 statistical software was used for all types of analysis. Results: A total of 21 eligible articles primarily conducted in Ethiopia using HIV program data were used for this quantitative synthesis. The overall pooled virological suppression rate was 71% (95% CI, 64%-77%). The pooled effects of poor adherence to ART (adjusted odds ratio [AOR], 0.33; 95% CI, 0.28-0.40), body mass index (18.5-24.9â kg/m2; AOR, 1.8; 95% CI, 1.37-2.36), disclosure (AOR, 1.41; 95% CI, 1.05-1.89), absence of opportunistic infection (AOR, 1.68; 95% CI, 1.43-1.97), and high baseline viral load count (AOR, 0.65; 95% CI, 0.52-0.81) were identified as significant predictors of viral suppression. Conclusions: The overall pooled percentage of virological suppression was low compared with the global target of viral suppression and the Ethiopian Public Health Institute report. Poor adherence, normal body mass index, disclosure, absence of opportunistic infection, and high baseline viral load count were factors contributing to viral suppression in Ethiopia. Responsible stakeholders should maximize their efforts to achieve the global target of virological suppression by addressing significant predictors.
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Introduction: Even though breast cancer incidence is lower in Sub-Saharan Africa, its mortality is higher in these countries. However, the impact does not end with diagnosis and treatment; rather many patients struggle with depression which is very common among these patients. This systematic review and meta-analysis helps to provide valuable insights into the overall prevalence of depression and associated factors among breast cancer patients in Sub-Saharan Africa. Method: We searched several databases, including MEDLINE, Embase, Scopus, Hinary, CINHAL and Google Scholar to retrieve relevant literatures from inception up to 15 June 2023. All observational studies, published in English at any time were included, while, letters to editor, review articles, commentaries, interventional and qualitative studies, and, abstracts presented in conferences or seminars were excluded. The results of this systematic review and meta-analysis have been written based on the PRISMA 2020 checklist and the protocol have been registered in PROSPERO database (CRD42023428910). Result: We have included nine articles with 2226 study participants. The result showed that, the pooled prevalence of depression among breast cancer patients in Sub-Saharan Africa was 45.6% (95% CI: 30%-61%) with significant heterogeneity I2 = 98.9%, (Cochrane) Q < 0.0001. There was no single study effect and publication bias but substantial heterogeneity was observed. In addition, there has been a publication bias with eggers test (p < 0.0033). However, there were no studies imputed after trim and fill analysis. From the factors, breast cancer patients who had poor financial support were 1.47 (95% CI: 1.02-2.13) times more at risk of developing depression than their counterparts. Conclusion: The prevalence of depression among breast cancer patients in Sub-Saharan Africa countries were higher than other regions. Thus, Emphasis should be given on developing financial assistance programs designed to cover the medical costs and improving the health care infrastructure.
RESUMEN
Background: Even though a few studies have been conducted, the result is inconsistent between studies. The Theory of Planned Behavior (TPB) is a widely used framework for predicting and understanding health behaviors. In the study area, the theory of planned behavior ability to predict breast self-examination among women was not done before. Therefore, this study aimed to determine the efficacy of the Theory of Planned Behavior to predict breast self-examination among women. Methods: This study used a systematic review and meta-analysis of studies conducted from 2008 to 2018 globally. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. PubMed, Semantic Scholar, Hinari, and Google Scholar electronic databases were searched. The analysis was performed using STATA 17 software. Heterogeneity and publication bias were assessed using forest plots, I2, Cochran's Q statistics, Funnel plots, and the Egger test respectively. Pooled analysis was conducted using the random-effects model of the DerSimonian-Laird method. Results: A total of 5 articles were included in this systematic review and meta-analysis. The overall Pooled Proportion of variance of the Theory of Planned Behavior ability to predict breast self-examination among women was explained at 38% (95%CI: 26.9, 49.1). Conclusions: The overall Pooled Proportion of variance explained by the Theory of Planned Behavior ability to predict breast self-examination among women was low as compared to the original assumption of variance explained. While the Theory of Planned Behavior provides a useful framework for understanding health behaviors, it may not fully capture all the complex factors contributing to breast self-examination. Additionally, future studies should consider using alternative measures of variance explained to provide a more comprehensive understanding of the predictive power of the theory of planned behavior.