Beresford Lauren, Norwood Todd
Omada Health Inc, San Francisco, California, United States.
Arch Rehabil Res Clin Transl. 2022 Feb 24;4(2):100186. doi: 10.1016/j.arrct.2022.100186. eCollection 2022 Jun.
To examine the effect of digital physical therapy (PT) delivered by mobile application (app) on reducing pain and improving function for people with a variety of musculoskeletal conditions.
An observational, longitudinal, retrospective study using survey data collected pre- and postdigital PT to estimate multilevel models with random intercepts for patient episodes.
Privately insured employees participating in app-based PT as an employer health care benefit.
The study sample included 814 participants (N=814) 18 years or older who completed their digital PT program with reported final clinical outcomes between February 2019 (program launch) through December 2020. Mean age of the sample at baseline was 40.9±11.89 years, 47.5% were female, 21% sought care for lower back pain, 16% for shoulders, 15% for knees, and 13% for neck.
Digital PT consisted of a synchronous video evaluation with a physical therapist followed by a course of PT delivered through a mobile app.
Pain was measured by the visual analog scale from 0 "no pain" to 10 "worst pain imaginable" and physical function by the Patient-Specific Functional Scale on a scale from 0 "completely unable to perform" to 10 "able to perform normally."
After controlling for significant demographics, comorbid conditions, adverse symptoms, chronicity, and severity, the results from multilevel random intercept models showed decreased pain (-2.69 points; 95% CI, -2.86 to -2.53; <.001) and increased physical function (+2.67 points; 95% CI, 2.452.89; <.001) after treatment.
Digital PT was associated with clinically meaningful improvements in pain and function among a diverse set of participants. These early data are an encouraging indicator of the clinical benefit of digital PT.
研究通过移动应用程序(app)提供的数字物理治疗(PT)对减轻各种肌肉骨骼疾病患者的疼痛和改善功能的效果。
一项观察性、纵向、回顾性研究,使用数字PT前后收集的调查数据来估计具有患者发作随机截距的多层次模型。
作为雇主医疗福利参与基于应用程序的PT的私人保险员工。
研究样本包括814名18岁及以上的参与者(N = 814),他们在2019年2月(项目启动)至2020年12月期间完成了数字PT项目,并报告了最终临床结果。样本基线时的平均年龄为40.9±11.89岁,47.5%为女性,21%因下背部疼痛寻求治疗,16%因肩部疼痛,15%因膝盖疼痛,13%因颈部疼痛。
数字PT包括与物理治疗师进行同步视频评估,随后通过移动应用程序提供一个PT疗程。
疼痛通过视觉模拟量表测量,从0“无疼痛”到10“可想象的最严重疼痛”,身体功能通过患者特定功能量表测量,从0“完全无法执行”到10“能够正常执行”。
在控制了重要的人口统计学、合并症、不良症状、慢性病程和严重程度后,多层次随机截距模型的结果显示,治疗后疼痛减轻(-2.69分;95%CI,-2.86至-2.53;<.001),身体功能改善(+2.67分;95%CI,2.45至2.89;<.001)。
数字PT与不同参与者组中疼痛和功能的临床意义改善相关。这些早期数据是数字PT临床益处的一个令人鼓舞的指标。