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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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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.
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In recent years, morbidity and mortality due to cancer has been increasing in Ethiopia, putting it among the most important public health issues. Cancer and associated complications can be prevented provided that effective interventions are put in place to control risk factors. Therefore, this study aimed to assess the level of knowledge and practice of preventable behavioural risk factors of cancer. We conducted a cross-sectional study among 200 college students in Northeast Ethiopia utilising quantitative methods of data collection. Data on socioeconomic characteristics, health belief variables, knowledge and behavioural risk factors (alcohol consumption, tobacco smoking, physical activity and dietary practice) were collected. The level of knowledge and practice was summarised using descriptive statistics. To investigate the variation in knowledge and practice across sociodemographic characteristics, we performed Pearson Chi-square test or Fisher's exact test. The majority (81.0%) of participants was male and 82.0% were in the age group of 18-24 years. More than half (61.0%) of them had poor knowledge about the behavioural risk factors of cancer. Nearly one-third (30.5%) consume alcohol, whereas 16.0%, 18.0% and 20.0%, respectively, smoke tobacco, consume street food and packed-fried snacks daily. Alcohol consumption (p = 0.02) and level of vigorous physical activity (p = 0.001) were significantly higher among males than females. Alcohol consumption, tobacco smoking and unhealthy dietary practice were remarkably high, whereas knowledge towards the behavioural risk factors was low. Therefore, health education and collaborative action between different sectors are needed to counter the emerging problem. The trial is registered in ClinicalTrials.gov (https://register.clinicaltrials.gov) NCT04269018.
RESUMO
BACKGROUND: Though institutional delivery plays a significant role in maternal and child health, there is substantial evidence that the majority of rural women have lower health facility delivery than urban women. So, identifying the drivers of these disparities will help policy-makers and programmers with the reduction of maternal and child death. METHODS: The study used the data on a nationwide representative sample from the most recent rounds of the Demographic and Health Survey (DHS) of four East African countries. A Blinder-Oaxaca decomposition analysis and its extensions was conducted to see the urban-rural differences in institutional delivery into two components: one that is explained by residence difference in the level of the determinants (covariate effects), and the other components was explained by differences in the effect of the covariates on the outcome (coefficient effects). RESULTS: The findings showed that institutional delivery rates were 21.00% in Ethiopia, 62.61% in Kenya, 65.29% in Tanzania and 74.64% in Uganda. The urban-rural difference in institutional delivery was higher in the case of Ethiopia (61%), Kenya (32%) and Tanzania (30.3%), while the gap was relatively lower in the case of Uganda (19.2%). Findings of the Blinder-Oaxaca decomposition and its extension showed that the covariate effect was dominant in all study countries. The results were robust to the different decomposition weighting schemes. The frequency of antenatal care, wealth and parity inequality between urban and rural households explains most of the institutional delivery gap. CONCLUSIONS: The urban-rural institutional delivery disparities were high in study countries. By identifying the underlying factors behind the urban-rural institutional birth disparities, the findings of this study help in designing effective intervention measures targeted at reducing residential inequalities and improving population health outcomes. Future interventions to encourage institutional deliveries to rural women of these countries should therefore emphasize increasing rural women's income, access to health care facilities to increase the frequency of antenatal care utilization.
