ABSTRACT
INTRODUCTION: Eosinophilic esophagitis (EoE) is a chronic inflammatory disease of the esophagus that can adversely affect the quality of life (QOL) in children. We aim to investigate the burden of EoE on the QOL in children aged 2-18 years and identify factors that influence their QOL. METHOD: A multicenter cross-sectional study was conducted in six Saudi pediatric hospitals. Pediatric Quality of Life 3.0 EoE Module was used to measure the QOL of children with EoE. RESULTS: Thirty-six families (36 parents and 33 children) were enrolled. The most reported symptoms were vomiting (50%), dysphagia (44.4%), and food impaction (36.1%). The mean total score of the parent-proxy report of the Pediatric Quality of Life EoE was 82.9 ± 10.3 versus the children's self-reported score of 77.28 ± 13.6 (p = .043). DISCUSSION: Recurrent emergency department visits were associated with a lower QOL, and a positive family history of EoE was associated with a better QOL.
ABSTRACT
BACKGROUND: Wearable insulin biosensors represent a novel approach that combines the benefits of real-time glucose monitoring and automated insulin delivery, potentially revolutionizing how individuals with diabetes manage their condition. STUDY PURPOSE: To analyze the behavioral intentions of wearable insulin biosensors among diabetes patients, the factors that drive or hinder their usage, and the implications for diabetes management and healthcare outcomes. METHODS: A cross-sectional survey design was adopted in this study. The validated questionnaire included 10 factors (Performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, trust, perceived privacy risk, and personal innovativeness) affecting the acceptance of wearable insulin sensors. A total of 248 diabetic patients who had used wearable sensors participated in the study. RESULTS: Performance expectancy was rated the highest (Mean = 3.84 out of 5), followed by effort expectancy (Mean = 3.78 out of 5), and trust (Mean = 3.53 out of 5). Statistically significant differences (p < 0.05) were observed with respect to socio-demographic variables including age and gender on various influencing factors and adoption intentions. PE, EE, and trust were positively associated with adoption intentions. CONCLUSION: While wearable insulin sensors are positively perceived with respect to diabetes management, issues like privacy and security may affect their adoption.
