Bacterial contamination of healthcare workers' mobile phones in Africa: a systematic review and meta-analysis.

BACKGROUND: Mobile phones are potential reservoirs for pathogens and sources of healthcare-associated infections. More microbes can be found on a mobile phone than on a man's lavatory seat, the sole of a shoe, or a door handle. When examining patients, frequent handling of mobile phones can spread bacteria. Nevertheless, evidence of bacterial contamination of mobile phones used by healthcare workers in Africa was inconclusive. Thus, this meta-analysis and systematic review was conducted to estimate the pooled prevalence of bacterial contamination of mobile phones used by healthcare workers and the most frequent bacterial isolates in Africa. METHODS: We systematically retrieved relevant studies using PubMed/MEDLINE, POPLINE, HINARI, Science Direct, Cochrane Library databases, and Google Scholar from July 1, 2023 to August 08, 2023. We included observational studies that reported the prevalence of bacterial contamination of mobile phones among healthcare workers. The DerSimonian-random Laird's effect model was used to calculate effect estimates for the pooled prevalence of bacterial contamination in mobile phones and a 95% confidence interval (CI). RESULTS: Among 4544 retrieved studies, 26 eligible articles with a total sample size of 2,887 study participants were included in the meta-analysis. The pooled prevalence of mobile phone bacterial contamination among healthcare workers was 84.5% (95% CI 81.7, 87.4%; I2 = 97.9%, p value < 0.001). The most dominant type of bacteria isolated in this review was coagulase-negative staphylococci (CONS) which accounted for 44.0% of the pooled contamination rate of mobile phones used by healthcare workers, followed by Staphylococcus aureus (31.3%), and Escherichia coli (10.7%). CONCLUSIONS: In this review, the contamination of mobile phones used by HCWs with various bacterial isolates was shown to be considerable. The most prevalent bacteria isolates were coagulase-negative staphylococci, Staphylococcus aurous, and Escherichia coli. The prevalence of bacterial contamination in mobile phones varies by country and sub-region. Hence, healthcare planners and policymakers should establish norms to manage healthcare workers' hand hygiene and disinfection after using mobile phones.

Incidence and risk factors of gestational diabetes mellitus in Goba town, Southeast Ethiopia: a prospective cohort study.

OBJECTIVE: Gestational diabetes mellitus (GDM) is becoming a public health concern in low/middle-income countries, and is known to cause severe morbidity and mortality for mothers and newborns. However, evidence reported for the incidence and risk factors of GDM is scant in Ethiopia. We aimed to assess the incidence of, and risk factors for, GDM in Goba town, Southeast Ethiopia. DESIGN: Prospective cohort study. SETTING: Goba town, Southeast Ethiopia. PARTICIPANTS: Four hundred eighty pregnant women on antenatal care follow-up from 30 April to 30 September 2021. PRIMARY AND SECONDARY OUTCOMES: Incidence and risk factors of GDM using fasting capillary blood glucose. Log-binomial model was used to identify the risk factors of GDM. Adjusted relative risk (aRR), along with 95% CIs, were calculated to estimate the strength of associations. RESULTS: The cumulative incidence rate of GDM in this study was 15.7% (95% CI: 12.3% to 19.2%). Being unemployed (aRR=2.73; 95% CI: 1.36 to 5.47), having a family history of diabetes mellitus (DM) (3.01; 2.09 to 4.35), low physical activity (2.43; 1.11 to 5.32), inadequate dietary diversity (1.48; 1.29 to 1.92), anaemia (2.51; 1.32 to 3.54) and antenatal depression (4.95; 3.35 to 7.31) were significantly associated with GDM. CONCLUSION: The cumulative incidence of GDM was relatively high among the study participants. Having antenatal depression symptoms, low physical activity, inadequate dietary diversity, being unemployed, anaemia and a family history of DM were significant risk factors for GDM.

Prevalence of visual impairment due to refractive error among children and adolescents in Ethiopia: A systematic review and meta-analysis.

INTRODUCTION: Globally, the prevalence of refractive error was 12%, and visual impairment due to refractive error was 2.1%. In sub-Saharan Africa, the prevalence of refractive error and visual impairment due to refractive error was 12.6% and 3.4%, respectively. In Ethiopia, the prevalence of visual impairment due to refractive error varies from 2.5% in the Gurage zone to 12.3% in Hawassa city. Hence, this Meta-analysis aimed to summarize the pooled prevalence of visual impairment due to refractive error in Ethiopia. METHODS: A systematic search of the literature was conducted by the authors to identify all relevant primary studies. All articles on the prevalence of visual impairment due to refractive error in Ethiopia were identified through a literature search. The databases used to search for studies were PubMed, Science Direct, POPLINE, HENARI, Google Scholar, and grey literature was searched on Google until December 15, 2021. In this meta-analysis, the presence of publication bias was evaluated using funnel plots and Begg's tests at a significance level of less than 0.05. The sensitivity analysis was conducted to check for a single study's effect on the overall prevalence of refractive error. RESULT: About 1664 studies were retrieved from initial electronic searches using international databases and google searches. A total number of 20,088 children and adolescents were included in this meta-analysis. The pooled prevalence of visual impairment due to refractive error in Ethiopia using the random effects model was estimated to be 6% (95% CI, 5-7) with a significant level of heterogeneity (I2 = 94.4%; p < 0.001). The pooled prevalence of visual impairment due to refractive was analyzed by subtypes, and pooled prevalence was estimated to be 4%, 5.2%, and 1% for myopia, hyperopia, and astigmatism, respectively. CONCLUSION: The pooled prevalence of visual impairment due to refractive error was high in Ethiopia. About one in twenty-five Ethiopian children and adolescents are affected by visual impairment due to myopia.

Utilization of provider-initiated HIV testing and counselling in Ethiopia: a systematic review and meta-analysis.

BACKGROUND: Provider-initiated HIV testing, and counseling (PITC) is a service in which health professionals provide HIV testing to all patients in health facilities. Provider-initiated HIV testing, and counseling is an important opportunity for early screening of individuals, and it is fundamental for both HIV treatment and prevention. Although there are studies conducted in different parts of Ethiopia, their findings are variable. Therefore, this systematic review and meta-analysis aimed to summarize the pooled utilization of PITC in Ethiopia. METHOD: All studies conducted on utilization of provider-initiated HIV testing and counseling at outpatient departments (OPD), inpatient departments (IPD), antenatal clinic care (ANC), and tuberculosis (TB) clinics in Ethiopia are eligible for these meta-analyses. A systematic search of the literature was conducted by the authors to identify all relevant primary studies. The databases used to search for studies were PubMed, Science Direct, POPLINE, HENARI, Google Scholar, and Scopus. The extracted data were imported into STATA version 14 software for statistical analysis. The risk of bias was assessed using the Joana Briggs Institute (JBI) criteria for prevalence studies. The heterogeneity among all included studies was assessed by I2 statistics and the Cochran's Q test. Pooled utilization along with its corresponding 95% CI was presented using a forest plot. RESULT: About 1738 studies were retrieved from initial electronic searches using international databases and Google, and a total of 10,676 individual clients were included in the meta-analysis. The pooled utilization of PITC in Ethiopia using the random effects model was estimated to be 78.9% (95% CI 73.87-83.85) with a significant level of heterogeneity (I2 = 98.5%; P < 0.001). Subgroup analysis conducted on PITC showed the highest percentage among studies conducted in Addis Ababa (93.5%), while lower utilization was identified from a study conducted in the Tigray Region (35%). LIMITATION OF THE STUDY: The drawbacks of this review and meta-analysis were being reported with significant heterogeneity, and the protocol was not registered. CONCLUSION: About 21% of health facility clients missed opportunities for PITC in Ethiopia.