Borchers Emily E, McIsaac Tara L, Bazan-Wigle Jennifer K, Elkins Aaron J, Bay Ralph C, Farley Becky G
NeuroFit Networks, Inc. DBA Parkinson Wellness Recovery | PWR!, 3849 E. Broadway Blvd. STE163, Tucson, AZ 85716, USA.
Department of Physical Therapy, Arizona School of Health Sciences, A.T. Still University, 5850 E. Still Circle, Mesa, AZ 85206, USA.
Neurodegener Dis Manag. 2019 Dec;9(6):331-346. doi: 10.2217/nmt-2019-0019. Epub 2019 Nov 5.
Physical therapy and exercise are considered essential components in the management of Parkinson's disease (PD). Using our retrospective data and years of experience in assigning persons with PD to multilevel group classes we propose a two-part physical therapy decision-making tool consisting of participant and exercise program considerations. Retrospective medical record review and therapist consensus identified evaluation considerations determined to aide clinical decision making. The ability of these variables (i.e., demographics, clinical characteristics, clinical measures cut-offs) to predict the class assignment decision of PD-specialized physical therapists was evaluated using discriminant function analysis. Therapist-assigned groups differed significantly on all clinical measures (p < 0.001) which provided the categorical data required for discriminant analysis. Using all variables, the discriminant function analysis predicted class assignment of the therapists with 79% agreement. This proposed tool provides a framework that may guide the process for increasing access to multilevel group classes.
物理治疗和运动被认为是帕金森病(PD)管理中的重要组成部分。利用我们的回顾性数据以及多年来将帕金森病患者分配到多层次团体课程的经验,我们提出了一个分为两部分的物理治疗决策工具,该工具包含参与者和运动项目考量因素。回顾性病历审查和治疗师的共识确定了有助于临床决策的评估考量因素。使用判别函数分析评估了这些变量(即人口统计学、临床特征、临床测量临界值)预测帕金森病专科物理治疗师课程分配决策的能力。治疗师分配的组在所有临床测量指标上均存在显著差异(p < 0.001),这为判别分析提供了所需的分类数据。使用所有变量,判别函数分析对治疗师课程分配的预测一致性为79%。这个提议的工具提供了一个框架,可能会指导增加多层次团体课程参与机会的过程。