Centre for Health, Exercise and Sports Medicine, Department of Physiotherapy, School of Health Sciences, The University of Melbourne, Parkville, Australia.
Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.
J Med Internet Res. 2021 Oct 29;23(10):e30768. doi: 10.2196/30768.
A 24-week self-directed digitally delivered intervention was found to improve pain and function in people with knee osteoarthritis (OA). However, it is possible that this intervention may be better suited to certain subgroups of people with knee OA compared to others.
The aim of this study was to explore whether certain individual baseline characteristics moderate the effects of a self-directed digitally delivered intervention on changes in pain and function over 24 weeks in people with knee OA.
An exploratory analysis was conducted on data from a randomized controlled trial involving 206 people with a clinical diagnosis of knee OA. This trial compared a self-directed digitally delivered intervention comprising of web-based education, exercise, and physical activity program supported by automated exercise behavior change mobile phone text messages to web-based education alone (control). The primary outcomes were changes in overall knee pain (assessed on an 11-point numerical rating scale) and physical function (assessed using the Western Ontario and McMaster Universities Osteoarthritis Index function subscale [WOMAC]) at 24 weeks. Five baseline patient characteristics were selected as the potential moderators: (1) number of comorbidities, (2) number of other painful joints, (3) pain self-efficacy, (4) exercise self-efficacy, and (5) self-perceived importance of exercise. Separate linear regression models for each primary outcome and each potential moderator were fit, including treatment group, moderator, and interaction between treatment group and moderator, adjusting for the outcome at baseline.
There was evidence that pain self-efficacy moderated the effect of the intervention on physical function compared to the control at 24 weeks (interaction P=.02). Posthoc assessment of the mean change in WOMAC function by treatment arm showed that each 1-unit increase in baseline pain self-efficacy was associated with a 1.52 (95% CI 0.27 to 2.78) unit improvement in the control group. In contrast, a reduction of 0.62 (95% CI -1.93 to 0.68) units was observed in the intervention group with each unit increase in pain self-efficacy. There was only weak evidence that pain self-efficacy moderated the effect of the intervention on pain and that number of comorbidities, number of other painful joints, exercise self-efficacy, or exercise importance moderated the effect of the intervention on pain or function.
With the exception of pain self-efficacy, which moderated changes in function but not pain, we found limited evidence that our selected baseline patient characteristics moderated intervention outcomes. This indicates that people with a range of baseline characteristics respond similarly to the unsupervised digitally delivered exercise intervention. As these findings are exploratory in nature, they require confirmation in future studies.
一项为期 24 周的自我指导数字干预措施被发现可改善膝骨关节炎(OA)患者的疼痛和功能。然而,与其他人相比,这种干预措施可能更适合某些亚组的膝 OA 患者。
本研究旨在探讨在 24 周内,自我指导数字交付干预对膝骨关节炎患者疼痛和功能变化的影响是否受到某些个体基线特征的调节。
对一项涉及 206 名临床诊断为膝骨关节炎患者的随机对照试验数据进行了探索性分析。该试验比较了自我指导的数字交付干预,包括基于网络的教育、锻炼和物理活动计划,并通过自动化锻炼行为改变手机短信进行支持,与仅基于网络的教育(对照组)。主要结局指标为 24 周时整体膝关节疼痛(用 11 点数字评分量表评估)和身体功能(用西部安大略省和麦克马斯特大学骨关节炎指数功能量表[WOMAC]评估)的变化。选择了五个基线患者特征作为潜在的调节因素:(1)合并症数量,(2)其他疼痛关节数量,(3)疼痛自我效能,(4)运动自我效能,(5)对运动的自我感知重要性。对每个主要结局和每个潜在调节因素分别进行线性回归模型拟合,包括治疗组、调节因素以及治疗组与调节因素之间的相互作用,同时还对基线时的结局进行了调整。
有证据表明,与对照组相比,疼痛自我效能在 24 周时调节了干预对身体功能的影响(交互 P=.02)。根据治疗臂的 WOMAC 功能平均变化进行的事后评估表明,基线疼痛自我效能每增加 1 个单位,对照组的功能改善为 1.52(95%置信区间 0.27 至 2.78)个单位。相比之下,在干预组中,疼痛自我效能每增加一个单位,观察到的改善量为 0.62(95%置信区间-1.93 至 0.68)个单位。只有微弱的证据表明疼痛自我效能调节了干预对疼痛的影响,而合并症数量、其他疼痛关节数量、运动自我效能或运动重要性调节了干预对疼痛或功能的影响。
除了疼痛自我效能(调节了功能的变化但不调节疼痛)之外,我们发现很少有证据表明我们选择的基线患者特征调节了干预结果。这表明,具有一系列基线特征的人对未经监督的数字交付运动干预的反应相似。由于这些发现具有探索性,因此需要在未来的研究中加以证实。