Kiadaliri Ali, Lohmander L Stefan, Dahlberg Leif E
J Orthop Sports Phys Ther. 2025 Jan;55(1):56-67. doi: 10.2519/jospt.2024.12864.
To explore trajectories of 12-week adherence to a digital education and exercise therapy for knee and hip osteoarthritis (OA), associations with baseline characteristics, and trajectories of patient-reported outcomes measures (PROMs) up to 1-year follow-up. Retrospective cohort (registry) study. Weekly data on adherence (ie, the percentage of completed activities [exercises, lessons, and quizzes]) were obtained over 12 weeks (n = 14 097). Longitudinal k-means clustering was used to identify adherence trajectory clusters. Associations of baseline characteristics with adherence trajectory clusters were assessed using multinomial logistic regression. Trajectories of each PROM (pain, function, and general health) from baseline up to 1-year follow-up (measured at 3-month intervals) across adherence trajectory clusters were explored using generalized estimating equations adjusted for baseline characteristics. Four adherence trajectory clusters were identified: "high-persistent" (68.0%), "high-declining" (16.6%), "moderate-increasing" (8.5%), and "moderate-declining" (6.9%). Multinomial logistic regression suggested that female sex, older age, lower body mass index, lower education, living outside metropolitan cities, higher level of physical activity, less anxiety/depression, no fear of movement, having walking difficulties, and higher readiness to do exercise were associated with a higher probability of assignment to "high-persistent" than other clusters. Beliefs/perceptions and sociodemographic factors accounted for most of the explained variation in adherence trajectory clusters. While "high-persistent" cluster generally reported better outcomes than other clusters, these differences were small. While there were variations in adherence to the digital treatment, participants reported clinically comparable PROMs regardless of their adherence trajectory cluster. .
为探究针对膝关节和髋关节骨关节炎(OA)的数字教育与运动疗法的12周依从性轨迹、与基线特征的关联以及直至1年随访期的患者报告结局指标(PROMs)轨迹。回顾性队列(登记)研究。在12周内获取了关于依从性的每周数据(即完成活动[锻炼、课程和测验]的百分比)(n = 14097)。使用纵向k均值聚类来识别依从性轨迹聚类。使用多项逻辑回归评估基线特征与依从性轨迹聚类的关联。使用针对基线特征进行调整的广义估计方程,探究了在依从性轨迹聚类中从基线到1年随访期(每3个月测量一次)每个PROM(疼痛、功能和总体健康)的轨迹。识别出四个依从性轨迹聚类:“高持续性”(68.0%)、“高下降性”(16.6%)、“中度上升性”(8.5%)和“中度下降性”(6.9%)。多项逻辑回归表明,与其他聚类相比,女性、年龄较大、体重指数较低、教育程度较低、居住在大城市以外、身体活动水平较高、焦虑/抑郁程度较低、不害怕运动、有行走困难以及运动准备度较高的人被分配到“高持续性”聚类的可能性更高。信念/认知和社会人口学因素在依从性轨迹聚类的解释变异中占大部分。虽然“高持续性”聚类总体上报告的结局比其他聚类更好,但这些差异很小。虽然在数字治疗的依从性方面存在差异,但无论其依从性轨迹聚类如何,参与者报告的PROMs在临床上具有可比性。