@文章{信息:doi/10.2196/41930，作者=“Maarj, Muhammad and Pacey, Verity and Tofts, Louise and Clapham, Matthew and Giron Garcia, Xavier and Coda, Andrea”，标题=“用于儿童和青少年症状性多动症疼痛评估的电子视觉模拟量表应用程序的验证:横断面研究”，期刊=“JMIR儿科家长”，年=“2022”，月=“10”，日=“26”，卷=“5”，数=“4”，页=“e41930”，关键词=“多动症”;恰当牵拉;高流动性对企业有利;hypermobile;移动应用程序;手机应用程序;疼痛测量;疼痛;验证;验证; scale; measure; pain severity; pediatric; visual analogue scale; mHealth; mobile health; children; adolescent; youth; child; digital health tool", abstract="Background: Rapid advances in mobile apps for clinical data collection for pain evaluation have resulted in more efficient data handling and analysis than traditional paper-based approaches. As paper-based visual analogue scale (p-VAS) scores are commonly used to assess pain levels, new emerging apps need to be validated prior to clinical application with symptomatic children and adolescents. Objective: This study aimed to assess the validity and reliability of an electronic visual analogue scale (e-VAS) method via a mobile health (mHealth) App in children and adolescents diagnosed with hypermobility spectrum disorder/hypermobile Ehlers-Danlos syndrome (HSD/HEDS) in comparison with the traditional p-VAS. Methods: Children diagnosed with HSD/HEDS aged 5-18 years were recruited from a sports medicine center in Sydney (New South Wales, Australia). Consenting participants assigned in random order to the e-VAS and p-VAS platforms were asked to indicate their current lower limb pain level and completed pain assessment e-VAS or p-VAS at one time point. Instrument agreement between the 2 methods was determined from the intraclass correlation coefficient (ICC) and through Bland--Altman analysis. Results: In total, 43 children with HSD/HEDS aged 11 (SD 3.8) years were recruited and completed this study. The difference between the 2 VAS platforms of median values was 0.20. Bland--Altman analysis revealed a difference of 0.19 (SD 0.95) with limits of agreement ranging --1.67 to 2.04. An ICC of 0.87 (95{\%} CI 0.78-0.93) indicated good reliability. Conclusions: These findings suggest that the e-VAS mHealth App is a validated tool and a feasible method of collecting pain recording scores when compared with the traditional paper format in children and adolescents with HSD/HEDS. The e-VAS App can be reliably used for pediatric pain evaluation, and it could potentially be introduced into daily clinical practice to improve real-time symptom monitoring. Further research is warranted to investigate the usage of the app for remote support in real clinical settings. ", issn="2561-6722", doi="10.2196/41930", url="https://pediatrics.www.mybigtv.com/2022/4/e41930", url="https://doi.org/10.2196/41930" }