Background: Diabetes mellitus (DM) is a global health care problem that can impose a substantial economic burden. Diabetic peripheral neuropathy (DPN) is a common microvascular complication of DM that increases the potential for morbidity and disability due to ulceration and amputation. Though there is a significant amount of variation in the primary studies on DM regarding the prevalence of DPN in Africa. Hence, this study was aimed to estimate the overall prevalence of DPN in DM patients in Africa. Methods: PubMed, Scopus, Google Scholar, African Journals OnLine, WHO African Library, and the Cochrane Review were systematically searched online to retrieve related articles. The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines was followed. Heterogeneity across the included studies was evaluated by the inconsistency index (I²). Publication bias was examined by funnel plot and Egger’s regression test. The random-effect model was fitted to estimate the pooled prevalence of diabetic peripheral neuropathy among patients in Africa. The meta-analysis was performed using the STATA™ Version 14 software. Results: Twenty-three studies which includes 269,691 participants were included in the meta-analysis. The overall pooled prevalence of diabetic peripheral neuropathy was 46% (95% CI:36.21–55.78%). Based on the subgroup analysis, the highest prevalence of diabetic peripheral neuropathy in DM patients was reported in West Africa at 49.4% (95% CI: 32.74, 66.06). Conclusion: This study revealed that the overall prevalence of diabetic peripheral neuropathy is relatively high in Africa. Hence, DPN needs situation-based interventions and preventive strategies, which are specific to the country. Further meta-analysis is needed to identify associated factors for the occurrence of diabetic peripheral neuropathy.

Background: Globally, type 2 diabetes has continued to increase, now accounting for over 90% of all diabetes cases. Though the magnitude of uncontrolled glycaemic levels in patients with type 2 diabetes is steadily rising, evidence showed that effectively controlled glycaemic levels can prevent complications and improve the quality of life of these patients. As little is known about the effect of educational interventions on this population, this systematic review and meta-analysis evaluated the effectiveness of educational interventions versus standard care on glycaemic control and disease knowledge among patients with type 2 diabetes. Methods: PubMed, Google Scholar, Cochrane Library, Scopus, African Journals Online and Wiley Online Library were searched. Two authors independently assessed within-trial risk of bias in each included study using revised Cochrane risk-of-bias tool for randomised trials. A random-effects model was employed to estimate combined effect sizes. Subgroup analyses were employed to investigate possible sources of heterogeneity between studies. The overall certainty of the evidence was evaluated using the Grading of Recommendations Assessment, Development and Evaluation approach. Results: A total of 19 trials with 2708 study participants were included in the review. Primary outcomes (glycaemic control) were reported in 18 trials. The pooled estimated impact of educational intervention on glycaemic levels using the random-effects model was −0.83 (95% CI: −1.17 to –0.49, p<0.001). Subgroup analyses revealed greater A1c reductions in those studies with intervention duration of up to 3 months and with empirical intervention designs. Educational interventions led to significant increases in participants’ knowledge of type 2 diabetes (standardised mean difference: 1.16; 95% CI: 0.71 to 1.60; I²=93%). Conclusion: In the current review overall, educational interventions can potentially lead to improved glycaemic control levels in patients with type 2 diabetes despite heterogeneity across the studies. Besides, the findings showed that educational interventions could increase disease knowledge among patients with type 2 diabetes. PROSPERO registration number: CRD42020205838.

Background. Mortality and morbidity in patients with diabetes mellitus (DM) are attributed to both microvascular and macrovascular complications. However, there is a significant amount of variation in the primary studies on DM regarding the prevalence of erectile dysfunction (ED) in Africa. Therefore, this study was aimed to estimate the pooled prevalence of ED patients with DM and its association with body mass index (BMI) and glycated hemoglobin in Africa.Methods. PubMed, Web of Science, Cochrane Library, Scopus, PsycINFO, African Journals Online, and Google Scholar were searched for studies that looked at ED in DM patients. A funnel plot and Egger’s regression test were used to determine publication bias. TheI²statistic was used to check heterogeneity between the studies. DerSimonian and Laird random-effects model was applied to estimate the pooled effect size. The subgroup and meta-regression analyses were conducted by country, sample size, and year of publication. Sensitivity analysis was deployed to see the effect of a single study on the overall estimation. STATA version 14 statistical software was used for the meta-analysis.Result. A total of 13 studies with 3,501 study participants were included in this study. We estimated that the pooled prevalence of ED in patients with DM in Africa was 71.45% (95% CI: 60.22–82.69). Diabetic patients whose BMI was ≥30 kg/m²were 1.26 times more likely to develop ED (AOR = 1.26; 95% CI: 0.73–2.16) and whose glycated hemoglobin was <7% were 7% less likely to develop ED (AOR = 0.93; 95% CI: 0.5–5.9), although they were not significantly associated with ED.Conclusions. The prevalence of ED in DM patients in Africa remains high. Therefore, situation-based interventions and country context-specific preventive strategies should be developed to reduce the prevalence of ED among patients with DM.

Background: Low birth weight neonates are subjected to different comorbidities due to anatomical and physiological immaturity. Globally, 60– 80% of neonatal mortality was due to low birth weight. Hence, this study aimed to assess the survival status and predictors of mortality among low birth weight neonates. Methods: An institutional-based retrospective cohort study design was conducted among 718 low birth weight neonates admitted to the neonatal intensive care unit from January 1, 2017, to December 30, 2019, at Felege Hiwot Comprehensive Specialized Hospital. Data were entered into Epi data version 3.1 and analyzed with STATA version 14. Kaplan–Meier curves together with a Log rank test were used to estimate the survival time and showed the presence of differences among groups. Cox proportional-hazard regression was used to estimate the hazard ratio at the 5% level of significance to determine the net effect of each explanatory variable on survival status. Results: The overall incidence density was 35.3 per 1000 person-day observations (CI: 30.8 − 40.6) with 5715 follow-up days. Deliveries outside the health institution [AHR; 2.31 (95% CI: 1.20– 4.42)], maternal age < 18 years [AHR; 3.08 (95% CI: 1.64– 5.81)] and maternal age > 35 years [AHR; 3.83 (95% CI: 2.00– 7.31)], neonatal sepsis [AHR; 2.33 (95% CI: 1.38– 3.94)], neonatal respiratory distress syndrome [AHR; 1.92 (95% CI: 1.27– 2.89)], necrotizing enterocolitis [AHR; 3.09 (95% CI: 1.69– 5.64)] and birth weight < 1000 gm [AHR; 3.61 (95% CI: 1.73– 7.55)] were found to be significant predictors. Conclusion: This study showed that two of the seven low birth weight neonates died during the follow-up period. Therefore, it is better for health care providers and other stakeholders to focus more on early diagnosis and management of low birth weight neonates with sepsis, respiratory distress syndrome, necrotizing enterocolitis and counseling mothers on the risk of having a child in early and old age.

Background: Novel coronavirus-2019 (COVID-19) is a highly infectious disease that has caused a global pandemic. As of July 2020, there were 8,475 confirmed cases of COVID-19 in Ethiopia, and a total of 52 cases and 1 death were reported in Debre Berhan where this study was conducted. Under these conditions, we sought to assess what undergraduate students at Debre Berhan University knew about COVID-19 and how it shaped their attitudes and practices regarding this disease. Objective: The aim of the current study was to assess undergraduate student knowledge, attitudes and practices towards COVID-19 in Debre Berhan University, Ethiopia. Methods: A cross-sectional survey was conducted from March 18–24, 2020 among undergraduate students at Debre Berhan University. A two-stage cluster sampling technique was employed with a total sample size of 634. Proportional allocation of samples was used to the randomly selected colleges, and a systematic random sampling technique was employed to recruit the students. The data were checked for completeness, coded, entered into Epi-Data VS 3.1, and then exported into STATA™ Version 14 software for analysis. Descriptive statistics were conducted. Binary logistic regression analyses were used to identify factors. Factors were selected with the entry method. Adjusted odds ratios (AORs) and their 95% confidence intervals (CIs) were used to assess the associations between variables and knowledge, attitude and practices (KAP). Results: From a total of 546 included participants, more than half of them, 307 (57%) were males. Seventy-three percent of them heard about novel coronavirus from social media. In this study, 73.8% of the participants were knowledgeable, and their overall attitude was favorable. Approximately 71.4% correctly responded that the main clinical symptoms of COVID-19 are fever, fatigue, dry cough, and shortness of breath. Nearly half, 229 (42%) of the students approved that they had no concern of being infected with COVID-19. Moreover, most participants showed poor practices; more than half of the study subjects were not maintaining a physical distance. In multivariable analyses, people older than 25 years (AOR = 1.6, 95% CI; 1.2, 4.6) and those who lived in urban areas (AOR = 4.3, 95% CI; 2.6, 15.8) were significantly more knowledgeable about COVID-19. Furthermore, those students that have information about COVID-19 (AOR = 2.3, 95% CI; 1.6, 8.7) was significantly associated with the attitude undergraduate students had about COVID-19 as compared with its counterpart. Conclusion: The undergraduate students at Debre Berhan University were moderately knowledgeable about COVID-19 and had an optimistic attitude towards its resolution. However, this optimism may lead to poor public health practices within this community. Therefore, greater efforts need to be made through more comprehensive and directed actions and awareness campaigns to increase the knowledge, attitude and practice of the students.

Background: Birth weight predicts the infant’s future health, growth, and viability. It is a good summary measure of many public health problems that include long-term maternal malnutrition, and poor health care during pregnancy. In developing countries, a birth weight below 2500 g is the leading cause of infant and child mortality. In Ethiopia, LBW had more than 13% prevalence. Determinants of low birth weight were yet to be completely understood. Therefore, this study investigates the predictors of low birth weight. Objective: To identify determinants of low birth weight among newborns delivered at Addis Ababa public hospitals, 2019. Methods: Institution-based unmatched case-control study was conducted among 279 (93 cases and 186 controls) newborns delivered from March 15 to April 30, 2019, in Addis Ababa public hospitals. Consecutive and systematic random sampling were employed to select cases and controls, respectively. Data were collected by interview using structured and pretested questionnaire. Finally, data were entered using Epi-data 4.2 and analysed using SPSS version 25. Factors having P-value < 0.25 in the bivariable logistic regression model were entered into a multivariable logistic regression model. Statistical significance was declared at P-value ≤ 0.05. Results: From 279 selected participants, 270 new-borns (90 cases and 180 controls) participated. In logistic regression model, significant association was found with gestational hypertension [AOR 3.7 (95% CI 1.6– 8.7)], maternal height [AOR 5.7 (95% CI 1.7– 19.7)], incomplete antenatal visit [AOR 6.7 (95% CI 3.2– 15.3)], and low maternal educational status [AOR 3.8 (95% CI 1.3– 10.9)]. Conclusion: Predictors of low birth weight were maternal height < 155 cm, complications during pregnancy, gestational hypertension, and incomplete Antenatal visit, and low maternal education. Stakeholders would better work together to reduce low birth weight by preparing appropriate intervention and monitoring policy.