Werneke Mark W, Hart Dennis L
Rehabilitation Department, Spine Center, CentraState Medical Center, 901 W Main St, Freehold, NJ 07728, USA.
Phys Ther. 2004 Mar;84(3):243-54.
Quebec Task Force Classification (QTFC) and pain pattern classification (PPC) procedures, including centralization and noncentralization, are common classification procedures. Classification was done to estimate validity of data obtained with QTFC and PPC procedures for differentiating patient subgroups at intake and for use in predicting rehabilitation outcomes at discharge and work status at 1 year after discharge from rehabilitation.
Patients (n=171, 54% male; mean age=37 years, SD=10, range=18-62) with acute work-related low back pain referred for physical therapy were analyzed.
Patients completed pain and psychosocial questionnaires at initial examination and discharge and pain diagrams throughout intervention. Physical therapists classified patients using QTFC and PPC data at intake. Patients were classified again at discharge by PPC (time-dependent PPC).
Analysis of variance of showed QTFC and PPC data could be used to differentiate patients by pain intensity or disability at intake. Analysis of covariance showed that intake PPC predicted pain intensity and disability at discharge, but QTFC did not. Logistic regression showed that PPC predicted work status at 1 year, but QTFC did not. Classifying patients over time using time-dependent PPC data reduced the false positive rate by 31% and increased percentage of change in pretest-posttest probability of return to work by 16% compared with classifying patients at intake.
Results support the discriminant validity of the QTFC data at intake and predictive validity of the PPC data at intake. Tracking PPC over time increases predictive validity for 1-year work status.
魁北克工作组分类法(QTFC)和疼痛模式分类法(PPC),包括症状集中化和非集中化,是常见的分类方法。进行分类是为了评估通过QTFC和PPC程序获得的数据在区分患者入院时亚组以及预测出院时康复结果和出院后1年工作状态方面的有效性。
对因急性工作相关性腰痛而接受物理治疗的患者(n = 171,男性占54%;平均年龄 = 37岁,标准差 = 10,范围 = 18 - 62岁)进行了分析。
患者在初次检查和出院时完成疼痛和心理社会调查问卷,并在整个干预过程中绘制疼痛图表。物理治疗师在入院时使用QTFC和PPC数据对患者进行分类。患者在出院时再次通过PPC进行分类(时间依赖性PPC)。
方差分析表明,QTFC和PPC数据可用于根据入院时的疼痛强度或残疾程度区分患者。协方差分析表明,入院时的PPC可预测出院时的疼痛强度和残疾程度,但QTFC不能。逻辑回归表明,PPC可预测1年时的工作状态,但QTFC不能。与入院时对患者进行分类相比,使用时间依赖性PPC数据随时间对患者进行分类可将假阳性率降低31%,并使重返工作前测-后测概率的变化百分比提高16%。
结果支持QTFC数据在入院时的判别效度以及PPC数据在入院时的预测效度。随时间跟踪PPC可提高对1年工作状态的预测效度。