BackgroundThe prevalence of erectile dysfunction among diabetic men varies between 35–90%. Although erectile dysfunction is widespread among men with diabetes, the condition often remains undiagnosed and demands appropriate assessment and prompt treatment. Erectile dysfunction can affect all aspects of a patient’s life including physical, emotional, social, sexual, and relationships. The main aim of this study is to determine the prevalence and determinants of erectile dysfunction among diabetic patients attending hospitals in the Central and Northwest zone of Tigray, Ethiopia.MethodsA hospital based cross-sectional study was conducted on 249 male diabetic patients attending five hospitals in the Central and Northwestern Zone of Tigray, Ethiopia using systematic random sampling. The data was collected from January 1 – February 30, 2016 and was entered and analyzed using SPSS version 20. Correlation and multivariate logistic regression was employed to test associations between independent and outcome variables.ResultsThe mean age of study participants was 43.39 years and the mean duration of diabetes diagnosis was 6.22 years. The overall prevalence of erectile dysfunction was 69.9%, with 32.9% suffering from mild, 31.7% moderate, and 5.2% severe erectile dysfunction. Multivariate logistic regression revealed that erective dysfunction was significantly predicted by old age (Adjusted Odds Ratio [AOR] =15.013, CI:3.212–70.166), longer duration of diabetes (AOR = 3.77, CI:1.291–11.051), and lower monthly income (AOR = 0.285, CI:0.132–0.615). No association was found with body mass index, co-morbidity, glycemic control, and alcohol consumption.ConclusionThe prevalence of erective dysfunction in this study population was very high. Age, income, and duration of diabetes were the independent predictors of erectile dysfunction. Nearly all of the patients in the sample (97%) had not been screened or treated for erectile dysfunction. Assessment and management of erectile dysfunction in the diabetic clinic should be part of routine medical care during follow-up visits with diabetic patients. Healthcare providers should put an emphasis on screening and treating older patients and those who had a diabetes diagnosis for a longer duration.Electronic supplementary materialThe online version of this article (doi:10.1186/s12902-017-0167-5) contains supplementary material, which is available to authorized users.

Background Depression is a leading cause of disability worldwide and is a major contributor to the overall global burden of disease. It is also one of the most common geriatric psychiatric disorders and a major risk factor for disability and mortality in elderly patients. Even though depression is a common mental health problem in the elderly population, it is undiagnosed in half of the cases. Several studies showed different and inconsistent prevalence rates in the world. Hence, this study aimed to fill the above gap by producing an average prevalence of depression and associated factors in old age. Objective This study aims to conduct a systematic review and meta-analysis to provide a precise estimate of the prevalence of depression and its determinants among old age. Method A comprehensive search of PubMed, Scopus, Web of sciences, Google Scholar, and Psych-info from database inception to January 2020. Moreover, the reference list of selected articles was looked at manually to have further eligible articles. The random-effects model was employed during the analysis. Stata-11 was used to determine the average prevalence of depression among old age. A sub-group analysis and sensitivity analysis were also run. A graphical inspection of the funnel plots and Egger’s publication bias plot test were checked for the occurrence of publication bias. Result A search of the electronic and manual system resulted in 1263 articles. Nevertheless, after the huge screening, 42 relevant studies were identified, including, for this meta-analysis, n = 57,486 elderly populations. The average expected prevalence of depression among old age was 31.74% (95% CI 27.90, 35.59). In the sub-group analysis, the pooled prevalence was higher among developing countries; 40.78% than developed countries; 17.05%), studies utilized Geriatrics Depression Scale-30(GDS-30); 40.60% than studies that used GMS; 18.85%, study instrument, and studies having a lower sample size (40.12%) than studies with the higher sample; 20.19%. Conclusion A high prevalence rate of depression among the old population in the world was unraveled. This study can be considered as an early warning and advised health professionals, health policymakers, and other pertinent stakeholders to take effective control measures and periodic care for the elderly population.

Background Internet addiction is a common problem in university students and negatively affects cognitive functioning, leads to poor academic performance and engagement in hazardous activities, and may lead to anxiety and stress. Behavioral addictions operate on a modified principle of the classic addiction model. The problem is not well investigated in Ethiopia. So the present study aimed to assess the prevalence of internet addiction and associated factors among university students in Ethiopia. Objectives Main objective of this study was to assess the prevalence and associated factors of internet addiction among University Students in Ethiopia. Methods A community-based cross-sectional study was conducted among Wollo University students from April 10 to May 10, 2019. A total of 603 students were participated in the study using a structured questionnaire. A multistage cluster sampling technique was used to recruit study participants. A binary logistic regression method was used to explore associated factors for internet addiction and variables with a p value < 0.25 in the bivariate analysis were fitted to the multi-variable logistic regression analysis. The strength of association between internet addiction and associated factors was assessed with odds ratio, 95% CI and p value < 0.05 in the final model was considered significant. Results The prevalence of internet addiction (IA) among the current internet users was 85% (n = 466). Spending more time on the internet (adjusted odds ratio (AOR) = 10.13, 95% CI 1.33–77.00)), having mental distress (AOR = 2.69, 95% CI 1.02–7.06), playing online games (AOR = 2.40, 95% CI 1.38–4.18), current khat chewing (AOR = 3.34, 95% CI 1.14–9.83) and current alcohol use (AOR = 2.32, 95% CI 1.09–4.92) were associated with internet addiction. Conclusions The current study documents a high prevalence of internet addiction among Wollo University students. Factors associated with internet addiction were spending more time, having mental distress, playing online games, current khat chewing, and current alcohol use. As internet addiction becomes an evident public health problem, carrying out public awareness campaigns may be a fruitful strategy to decrease its prevalence and effect. Besides to this, a collaborative work among stakeholders is important to develop other trendy, adaptive, and sustainable countermeasures.

Background: Satisfaction of patients is a key measure of quality pharmacy service delivery. However, the traditional way of drug inventory and dispensing practice by professionals negatively affects the satisfaction of patients. Hence, assessment of satisfaction level is an important tool to identify gaps in pharmacy service delivery and works for its improvement.

Background Suicidal ideation and suicidal attempt are warning signs for and determine the prognosis of completed suicide. These suicidal behaviors are much more pronounced in people living with HIV/AIDS. Despite this, there is a scarcity of aggregate evidence in Africa. This study was therefore aimed to fill this gap. Methods we extensively searched Psych-info, PubMed, Scopus, and EMBASE to obtain eligible studies. Further screening for a reference list of articles was also done. Meta XL package was used to extract data and the Stata-11 was also employed. Cochran’s Q- and the Higgs I2 test were engaged to check heterogeneity. Sensitivity and subgroup analysis were implemented. Egger’s test and funnel plots were used in detecting publication bias. Results The pooled prevalence of suicidal ideation was 21.7% (95% CI 16.80, 26.63). The pooled prevalence of suicidal ideation in Ethiopia, Nigeria, Uganda, and South Africa was 22.7%, 25.3%, 9.8%, and 18.05% respectively. The pooled prevalence of suicidal ideation was larger; 27.7% in studies that used Composite International Diagnostic Interview (CIDI) than Mini-international Neuropsychiatric Interview (MINI); 16.96%. Moreover, the prevalence of suicidal ideation in studies with a sample size of < 400 was 23.42% whereas it was 18.3% in studies with a sample size ≥ of 400 participants. The pooled prevalence of suicidal attempts in this study was 11.06% (95% CI 6.21, 15.92). A suicidal attempt was higher in Ethiopia (16.97%) and Nigeria (16.20%) than Uganda (3.51%). This pooled prevalence of suicidal attempt was higher among studies that used a smaller sample (< 400 participants) (15.5%) than studies that used a larger sample size (≥ 400 participants) (8.4%). The pooled prevalence of suicidal attempt was 3.75%, and 16.97% in studies that used MINI and CIDI respectively. Our narrative synthesis revealed that advanced stages of AIDS, co-morbid depression, perceived HIV stigma, and poor social support was among the factors strongly associated with suicidal ideation and attempt. Conclusion The pooled magnitude of suicidal ideation and attempt was high and factors like advanced stages of AIDS, co-morbid depression, perceived stigma, and poor social support were related to it. Clinicians should be geared towards this mental health problem of HIV patients during management.

Background Alcohol use disorders (AUD) in tuberculosis patients are complicated with poor compliance to anti-tuberculosis treatment and poor tuberculosis treatment outcomes. However, aggregate data concerning this problem is not available. Therefore, this review aimed to fill the above gap by generating an average prevalence of AUD in tuberculosis patients. Method Our electronic search for original articles was conducted in the databases of Scopus, PubMed, and EMBASE, African Index Medicus, and psych-info. Besides, the reference list of selected articles was looked at manually to have further eligible articles for the prevalence and associated factors of AUD in tuberculosis patients. The random-effects model was employed during the analysis. MS-Excel was used to extract data and stata-11 to determine the average prevalence of AUD among tuberculosis patients. A sub-group analysis and sensitivity analysis were also run. A visual inspection of the funnel plots and an Eggers publication bias plot test were checked for the presence of publication bias. Result A search of the electronic and manual system resulted in 1970 articles. After removing duplicates and unoriginal articles, only 28 articles that studied 30,854 tuberculosis patients met the inclusion criteria. The average estimated prevalence of AUD in tuberculosis patients was 30% (95% CI: 24.00, 35.00). This was with a slight heterogeneity (I2 = 57%, p-value < 0.001). The prevalence of AUD in tuberculosis patients was higher in Asia and Europe; 37% than the prevalence in the US and Africa; 24%. Besides, the average prevalence of AUD was 39, 30, 30, and 20% in studies with case-control, cohort, cross-sectional and experimental in design respectively. Also, the prevalence of AUD was higher in studies with the assessment tool not reported (36%) than studies assessed with AUDIT. AUD was also relatively higher in studies with a mean age of ≥40 years (42%) than studies with a mean age < 40 years (24%) and mean age not reported (27%). Based on a qualitative review; the male gender, older age, being single, unemployment, low level of education and income from socio-demographic variables, retreatment and treatment failure patients, stigma, and medication non-adherence from clinical variables were among the associated factors for AUD. Conclusion This review obtained a high average prevalence of AUD in tuberculosis patients and this varies across continents, design of studies, mean age of the participants, and assessment tool used. This implied the need for early screening and management of AUD in tuberculosis patients.

BackgroundHIV-associated neurocognitive disorders are common in people living with HIV/AIDS and affect the adherence of patients to prescriptions, activities of daily living, and quality of life of patients. However, there is a lack of summative evidence in the area. The present meta-analysis was therefore addressing this gap.MethodsWe did our electronic search in Psych-Info, EMBASE, Scopus, and PubMed. The retrieved articles were stored with the endnote reference manager and data was extracted using Meta-XL version 5.3. The quality of studies was evaluated with the modified Newcastle–Ottawa Scale (NOS). A random-effect model and STATA-16 were used to compute the average estimate of HAND. Heterogeneity was weighed with I2 statistics. A sensitivity analysis and subgroup analysis were employed. The existence/nonexistence of a publication bias was checked with the Eggers test of publication bias.ResultsThe average prevalence of HAND was 50.41% (95% CI: 45.56, 55.26). The average estimate of HAND in Europe was found to be 50.015% whereas in Africa, Asia, and the United States of America (USA) it was 49.566, 52.032, and 50.407% respectively. The prevalence of HAND in studies that used the HIV Dementia Scale (IHDS) was 36.883% and 59.956% at cutoff points of IHDS &lt;9.5 and IHDS &lt;10 respectively. Besides, the estimated average of HAND with the global dementia scale (GDS) was 40.766%. The prevalence of HAND in cross-sectional, cohort, and case-control studies was 49.52, 54.087, and 44.45% in that order. Socio-demographic variables; low level of education and older age, clinical and HIV related variables; the advanced stage of the illness and CD4 count of 500 cells/dl or less and psychological variables such as comorbidity of depression increases the risk of HAND.ConclusionThe prevalence of HIV-associated neurocognitive disorders was about 50.41%. Low level of education and older age, clinical and HIV related variables such as the advanced stage of the illness and CD4 count of 500 cells/dl or less, and comorbidity of depression were associated with HIV associated neurocognitive disorders. Public health interventions for HIV patients should target these essential problems.

Background: The burden of depression in prisoners is increasing and factors such as coexistence of medical illness, lack of social support and longer duration of sentences are contributing to it. However, no pooled evidence on the magnitude and factors of depression in prisoners existed in Ethiopia. The current meta-analysis was therefore aimed to have aggregate evidence on the magnitude and factors of depression in prisoners of Ethiopia. Methods: A search of databases on PubMed, Scopus, and EMBASE was carried out systematically. Besides, grey literature sources were extensively investigated. Moreover, the reference lists of the articles selected were searched. Random effects and quality-effects models were used to describe the pooled prevalence of depressive symptoms with 95% CI. We also detect heterogeneity between studies using Cochran's Q-statistic and the Higgs I 2 test. A sensitivity analysis was also implemented. Publication bias was checked with Egger's test and funnel plots visually. Results: Among 232 papers identified through the specified database searches only 17 full-text articles were assessed for eligibility and only nine (9) studies fulfilled the prespecified criteria and incorporated in the final metaanalysis. The pooled prevalence of Depressive symptoms among prisoners was 53.40%(95% CI: 41.33, 65.46). The pooled prevalence of Depressive symptoms in prisoners was 41.9% in Southwest Ethiopia, 44.43% in North West of Ethiopia, 59.05% in Addis Ababa, and 72.7% Southern Ethiopia. Besides, the pooled Depression symptoms prevalence among prisoners was 51.24% as measured with PHQ-9 and 56.15% with BDI-II. Besides, studies that utilized a relatively large sample size (≥350) yields a smaller pooled prevalence of Depression symptoms, 51.93% than those which utilized smaller sample sizes (< 350); 54.13%. Conclusion: The pooled magnitude of depression in prisoner's population is very high, 53.40%. This pooled effect size for the Depression symptoms was significantly higher in the southern region of the country than in the southwest region. Besides, the pooled prevalence was significantly higher as measured by the BDI-II tool than by PHQ-9. Also, studies that utilized a larger sample size provided a significantly lower pooled magnitude of symptoms of depression than studies that utilized a smaller sample size.