Barbers' compliance with biological hazard preventive measures and predictors in selected towns, Southeast Ethiopia: a cross-sectional study.

OBJECTIVE: The barber's profession exposes their customers to several health risks. Negligence when using sharp instruments in barbershops can increase the risk of bloodborne infections, resulting in serious health problems for both the barber and the customer. Evidence for compliance with biological hazard preventive measures and predictors among barbers is critical and urgent. Thus, we aimed to assess compliance with biological hazard preventive measures and predictors among barbers in selected towns in Southeast Ethiopia. METHODS: A cross-sectional study was conducted among 633 randomly selected barbers from 1 March to 30 March 2022. A multistage sampling followed by a systematic sampling and simple random sampling methods were used to select barbershops and barbers, respectively. We used a pretested interviewer-administered questionnaire and an observational checklist to collect data. Multinomial logistic regression analysis was used to identify predictors. An adjusted OR (AOR), along with a 95% CI and p<0.05, was used to estimate the strength of the association. RESULTS: The good compliance level with biological hazard preventive measures was 47.10% (95% CI: 43.2%, 50.70%). Being married (AOR=3.04, 95% CI: 1.71, 8.56), aged from 25 to 34 years (AOR=2.75, 95% CI: 1.13, 8.06), served for ≤5 years (AOR=1.72, 95% CI: 1.24, 3.85), attending high school and above (AOR=4.32, 95% CI: 1.31, 12.73), being professional (AOR=6.34, 95% CI: 2.03, 11.36), having a positive attitude (AOR=2.95, 95% CI: 1.06, 8.22) and having good knowledge towards biological hazard preventive measures (AOR=3.14, 95% CI: 1.42, 9.25) were significant predictors of moderate and good compliance with biological hazard preventive measures. CONCLUSION: The study's findings revealed that almost half of the barbers were in good compliance with biological hazard preventive measures. As a result, improving barbers' attitudes and knowledge through on-the-job training is indispensable.

Work-Related Musculoskeletal Symptoms and Associated Factors Among Academic Staff in Ethiopian Universities.

Background: Work-related musculoskeletal symptoms (WMSs) are common injuries or pains that primarily affect various body structures. It is difficult to estimate the burden of WMSs in developing countries such as Ethiopia due to a lack of evidence, particularly among university academic staff. There is a universal and rapidly growing need for information about WMSs, as this is the main challenge to public health and economic burden. The purpose of this study was to determine the magnitude of work-related musculoskeletal symptoms and their associated factors among academic staff in Ethiopian universities. Methods: From February 2 to March 24, 2021, a web-based cross-sectional study was conducted among 422 academic staff members working in Ethiopian universities. A structured and self-administered Google Form questionnaire was sent and shared with the academic staff via their email addresses, Facebook, and Telegram accounts. Using a p-value of <0.05 and a 95% confidence interval, multivariable logistic regression was used to identify factors associated with the outcome variable. Results: Around 321 (77.2%) of the 416 participants were reported to have work-related musculoskeletal symptoms at least in one part of the body (95% CI: 73.1, 81.5%), with 28.1% reporting lower back pain. Respondents working in second-stage universities (AOR = 7.35, 95% CI 3.21, 16.79), being 44 years old or older (AOR = 7.89, 95% CI 2.10, 21.57), having a Ph.D. (AOR = 7.09, 95% CI 1.50, 17.93), engaging in physical activity (AOR = 3.32, 95% CI 1.43, 7.74), and working on a computer (AOR = 6.89, 95% CI 2. 0.72, 19.15) were the factors associated with work-related musculoskeletal symptoms. Conclusion: Almost three-quarters of academic staff reported work-related musculoskeletal symptoms in this survey. Factors such as university establishment stage, age, educational status, physical activity, and frequent computer use were found to be significantly associated with work-related musculoskeletal symptoms.

Determinants of Incomplete Vaccination Among Children Aged 12 to 23 Months in Gindhir District, Southeastern Ethiopia: Unmatched Case-Control Study.

BACKGROUND: Incomplete vaccination can put children at greater risk of acquiring vaccine-preventable diseases. In Ethiopia, vaccination coverage against vaccine-preventable diseases is still a significant and persistent public health challenge. Thus, the aim of this study was to identify the determinants of incomplete childhood vaccination among children aged 12-23 months in Gindhir District, Southeast Ethiopia. METHODS: A community-based unmatched case-control design was employed among children aged 12-23 months from 1 to 28 February 2020. A total of 254 cases and 508 controls were included using the stratified random sampling technique. Cases included children aged 12-23 months who missed at least one dose of the routine vaccination, and controls were the children with complete vaccination with all required doses. Binary logistic regression analyses were used to identify the independent factors for children's incomplete vaccination status. RESULTS: Of all assessed determinants, maternal knowledge about vaccination (AOR=0.50, 95% CI: 0.31, 0.80), educational status (AOR=2.61, 95% CI: 1.19, 5.67), average monthly income (AOR=0.33, 95% CI: 0.15, 0.77), model family (AOR = 2.50, 95% CI: 1.51, 4.14), taking TT vaccine (AOR= 0.45 95% CI: 0.29, 0.78), number of under five children (AOR= 4.90 95% CI: 1.72, 13.93) and birth order (AOR= 6.33, 95% CI: 1.89, 14.87) were found to have statistically significant association with childhood incomplete vaccination. CONCLUSION: In this study, the mother's education, model family, birth order, average monthly income, and knowledge were some of the independent determinants of incomplete childhood vaccination. Improving maternal knowledge, income, and educational status should be the expectable measure to reduce incomplete vaccination.