Background People living with HIV/AIDS (PLWHA) are frequently confronted with severe social issues such as rejection, abandonment, criticism, and stigma. This would negatively affect their quality of life. Several studies have been conducted so far to assess factors affecting the health-related quality of life among people living with HIV/AIDS who are on antiretroviral therapy (ART) in Ethiopia. However, to our knowledge, there is no previous study that has summarized the results of the studies that investigated health-related quality of life (HRQOL) among PLWHA in Ethiopia. Therefore, the purpose of this review was to estimate the pooled prevalence of HRQOL and its association with social support among people living with HIV/AIDS (PLWHA) on ART in Ethiopia. Methods A systematic search was carried out using several electronic databases (PubMed, Science Direct, Web of Science, and Cochrane electronic), Google Scholar, Google, and a manual search of the literature on health-related quality of life among people living with HIV/AIDS who are on ART. A Microsoft Excel data extraction sheet was used to extract pertinent data from an individual study. To assess the heterogeneity of primary articles, the Cochrane Q test statistics and the I2 test were carried out, and a random effects meta-analysis was used to estimate the pooled prevalence of HRQOL. Result Out of the 493 articles reviewed, ten with a total of 3257 study participants were eligible for meta-analysis. The pooled prevalence of HRQOL among people living with HIV/AIDS who are on antiretroviral therapy in Ethiopia was 45.27%. We found that strong perceived social support was significantly associated with higher levels of subjectively perceived HRQOL. PLWHA who were on ART and had good social support were four times more likely to report higher HRQOL when compared to their counterparts [AOR = 4.01, 95% CI 3.07–5.23]. Conclusion A substantial number of PLWHA had poor HRQOL in Ethiopia. Social support was significantly associated with HRQOL among people living with HIV/AIDS. Hence, it’s recommended to encourage suitable intervention at every follow-up visit, and psycho-social support is also warranted to improve the quality of life.

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Background: Household water treatment and handling is an important component of a global strategy to provide safe water to millions of people who live without adequate water currently. Household water treatment at the point of use also helps to improve drinking water quality for millions who suffer due to contamination of their drinking water. This study aims to assess household-level water treatment practices and associated factors in Southern Ethiopia. Methods: A community-based cross-sectional study was conducted among selected households using a systematical random sampling technique in Bule town. Data was collected using a pretested, structured questionnaire and analyzed using STATA version 16. A variable with a P-value ⩽ .25 in bi-variable regression was entered into multivariable regression and then a variable with a P-value ⩽ .05 was taken as statistically significant. Results: The study found that only 29.9% (with a 95% CI: 25.3-34.6) of households have good water treatment practices for drinking purposes. Regarding predictors of household-level water treatment practices, respondents who had good knowledge were 5 times (AOR = 6.98, 95% CI = 4.01-11.9) more likely to practice household-level water treatment than their counterparts. In addition, respondents who earn more than 3000 ETB per month are twofold more likely to practice household water treatment than those with an average monthly income of less than 1000 ETB (AOR = 2.37, 95% CI = 1.22-4.60). Conclusions: Household-level water treatment was less common in Bule town. The household’s monthly income and their knowledge status were found to be the determinants of household-level water treatment practices in the study area.

Objectives: To determine the prevalence of alcohol use disorder and associated factors among residents of Dilla town, Gedeo zone, Southern Ethiopia, 2021. Methods: A community-based cross-sectional study was conducted among 666 randomly selected participants. Interview-assisted structured questionnaire was used to collect data, and alcohol use disorder identification test was employed to measure alcohol use disorder. The data were entered in to Epi info version 7 and exported in to SPSS version 25 for analysis. Both bivariate and multivariate binary logistic regression analysis were used to identify significant factors related with alcohol use disorder. In the multivariate model, variables with p value < 0.05 were considered as a statistical significant factor for the outcome variable. Finally, adjusted odds ratio with 95% confidence interval was computed to assess the strength of association. Results: The magnitude of alcohol used disorder during the past year was 30.6% (95% confidence interval: 25.5%–35.7%). Being male (adjusted odds ratio = 8.33, 95% confidence interval: (4.34, 15.98)), age of less than 33 years old (adjusted odds ratio = 1.78, 95% confidence interval: (1.06, 3.00)), current cigarette smoking (adjusted odds ratio = 2.49, 95% confidence interval: (1.42, 4.37)), current khat chewing (adjusted odds ratio = 6.23, 95% confidence interval: (3.8, 9.92)), high level of psychological distress (adjusted odds ratio = 7.69, 95% confidence interval: (4.16, 14.28)) and poor social support (adjusted odds ratio = 2.30, 95% confidence interval: (1.27, 4.18)) were significantly associated with alcohol use disorder. Conclusion: A large percentage of respondents in our sample had an alcohol use disorder. Alcohol use problems were linked to being men, under the age of 33 years old, current khat chewing, current cigarette smoking, a high level of psychological distress, and poor of social support. As a result, early screening, public health intervention programs and establishing appropriate referral linkages with mental health facilities are recommended.

Objectives: This study aimed at assessing the prevalence of antibiotics non-adherence and its associated factor among households in southern Ethiopia. Methods: A community-based cross-sectional study was conducted among 323 randomly selected households in Wenago town. To collect the data, structured questionnaire was used. Categorical variables were represented by frequency and percentage. For continuous variables, the mean value and standard deviation were used. Bivariate and multivariate logistic regression analyses were used to identify factors related to antibiotic non-adherence. Finally, for significant factors with p-values less than 0.05, the adjusted odds ratio with 95% confidence interval was calculated and evaluated. Results: The prevalence of antibiotic non-adherence in the household was 194 (60.1%) (95% confidence interval = 55.1–65.6). Remission of symptoms (63%) is one of the top reasons for antibiotic non-adherence in the home. Male sex (adjusted odds ratio = 1.77, 95% confidence interval = 1.03–3.08), lower educational status (adjusted odds ratio = 3.42, 95% confidence interval = 1.51–7.75; adjusted odds ratio = 2.37, confidence interval = 1.12–5.02), poor attitude toward antibiotics use (adjusted odds ratio = 1.89; 95% confidence interval = 1.23–3.04), poor knowledge about antibiotics use (adjusted odds ratio = 1.34; 95% confidence interval = 1.11–2.39), and no-prescription information from pharmacy (adjusted odds ratio = 2.02, 95% confidence interval = 1.09–3.72) were all associated with non-adherence. While no medication discomfort (adjusted odds ratio = 0.31, 95% confidence interval = 0.178–0.56) had a negative effect on non-adherence. Conclusion: In this study, antibiotic non-adherence was considerably high among the participants. Being male, lower educational status, poor attitude, poor knowledge, no-prescription information from pharmacy/druggist, and medication discomfort were related with antibiotic non-adherence. As a result, community service providers must provide relevant prescription information as well as appropriate counseling to antibiotic non-adherent patients.