Background: Diaper dermatitis (DD) is a highly common condition among neonates, infants, and toddlers. The current study aims to explore the factors influencing DD among children aged between 0-24 months in Jordan. Methods: This study utilized a descriptive cross-sectional design with a convenient sample of 140 children diagnosed with DD. Structured face-to face interviews were used to collect data from the parents of the children included in the study. Univariate and multivariate logistic regression analyses were used to test the association between diaper dermatitis and its related medical factors. Results: The prevalence of DD was found to be 98.6% among the participants. The median of the duration of the most recent DD episode in days was 3 days (Inter Quartile Range= 2 to 4 days). The factors influencing DD were the use of barrier cream (OR=.35, 95% CI = .18-.72, p=.004), and bathing frequency of ≤ 1 time per week (OR=1.15, 95% CI = .65-2.10, p=.002). Conclusion: The identified factors should be paid significant attention in order to reduce the prevalence of DD among children aged 24 months or under. Prevention-focused programs which encourage the frequent application of appropriate barrier creams and frequent bathing of more than once a week are needed.

Background: The prevalence of prehospital delay is high among older adults with acute coronary syndrome (ACS), resulting in adverse health outcomes. The current study aimed to examine the associated factors of prehospital delay among patients with ACS during the COVID-19 pandemic. Methods: This cross-sectional study was conducted on a convenience sample of 300 older adults with ACS admitted to the emergency department. Bivariate and multivariate analyses, including stepwise linear regression, were used to explore the predictors of prehospital delay and length of stay. Results: Being widowed, education, pain intensity, the gradual onset of ACS symptoms, symptoms lasting for more than 30 minutes, feeling anxious about their ACS symptoms due to the COVID-19 pandemic, perceiving their symptoms as dangerous due to the COVID-19 pandemic, history of myocardial infraction (MI), and mode of transportation were associated with the time taken before seeking emergency care among older adults with ACS during the COVID-19 pandemic. Conclusion: Length of prehospital delay among the participants varied according to certain sociodemographic and clinical characteristics and biomarkers. Improved understanding of the associations between prehospital delay and these characteristics is crucial for achieving optimal ACS patient outcomes under the impacts of the COVID-19 pandemic.