ABSTRACT
Objective Compliance with COVID-19 prevention measures limits infection occurrence and spread in healthcare settings. According to research conducted in Ethiopia, compliance with COVID-19 preventative strategies is inconsistent among healthcare providers. This systematic review and meta-analysis aimed to estimate the national pooled proportion of healthcare workers (HCWs) who adhere to COVID-19 preventive measures and associated factors with good compliance. Design A systematic review and meta-analysis of all identified studies with cross-sectional study design. Data sources A comprehensive search was conducted in PubMed/MEDLINE, POPLINE, HINARI, Science Direct, Cochrane Library databases and Google Scholar search engines from January 2020 to September 2021. Data extraction and synthesis This review included all observational studies conducted in Ethiopia that reported the proportion of compliance with COVID-19 preventive measures and associated factors among HCWs. Two independent authors assessed the methodological quality of studies using Joanna Briggs Institute’s meta-analysis of statistical assessment and review instrument. The effect estimates for pooled proportion and pooled OR (POR) were determined. Results From retrieved 611 original studies, 21 studies were included in the meta-analysis with a total of n=7933 HCWs. The pooled proportion of good compliance with COVID-19 preventive measures among HCWs was 49.7% (95% CI: 42.3% to 57.1%). Being male (POR=2.21, 95% CI: 1.52 to 3.21), service years (>3 years) (POR=2.65, 95% CI: 1.94 to 3.64), training (POR=2.30, 95% CI: 1.78 to 2.98), positive attitude (POR=3.14, 95% CI: 1.66 to 5.94) and good knowledge (POR=2.36, 95% CI: 1.92 to 2.89) were factors significantly associated with good compliance towards COVID-19 preventive measures. Conclusion Our study indicated that approximately one in every two HCWs had good compliance with COVID-19 preventive measures. There must be more emphasis on providing further training sessions for the HCWs to improve their compliance with COVID-19 preventative measures.
ABSTRACT
Studies have shown that ambient extreme temperatures (heat and cold) were associated with an increased risk of childhood pneumonia, but the evidence is very limited in low-middle-income countries. It also remains unknown whether pneumococcal conjugate vaccine (PCV) could prevent temperature-related childhood pneumonia. This study collected data on ambient temperature and hospitalizations for childhood pneumonia in Matlab, Bangladesh from 2012 to 2016. Interrupted time series (ITS) analysis was employed to assess the impact of PCV (10-valent) intervention on childhood pneumonia hospitalizations. A time-stratified case-crossover analysis with a conditional logistic regression was performed to examine the association of childhood pneumonia hospitalizations with extreme temperatures and heatwaves before and after PCV10 intervention. Subgroup analyses were conducted to explore the modification effects of seasons, age, gender, and socioeconomic levels on temperature-related childhood pneumonia hospitalizations. We found that after PCV10 intervention, there was a sharp decrease in hospitalizations for childhood pneumonia (relative risk (RR): 0.59, 95% confidence interval (CI): 0.43-0.83). During the study period, heat effects on childhood pneumonia appeared immediately on the current day (odds ratio (OR): 1.28; 95% CI: 1.02-1.60, lag 0), while cold effects appeared 4 weeks later (OR: 1.53, 95% CI: 1.06-2.22, lag 28). Importantly, cold effects decreased significantly after PCV10 (p-valueï¼0.05), but heat and heatwave effects increased after PCV10 (p-valueï¼0.05). Particularly, children from families with a middle or low socioeconomic level, boys, and infants were more susceptible to heat-related pneumonia. This study suggests that PCV10 intervention in Bangladesh may help decrease cold-related not heat-related childhood pneumonia.