Baker J G, Fiedler R C, Ottenbacher K J, Czyrny J J, Heinemann A W
School of Medicine and Biomedical Sciences, State University of New York at Buffalo, 14215, USA.
Am J Phys Med Rehabil. 1998 May-Jun;77(3):202-12. doi: 10.1097/00002060-199805000-00004.
Functional outcomes at an average of six months after outpatient rehabilitation were investigated in a pilot study with a sample of 42 patients receiving physical therapy for low back, neck, and other musculoskeletal problems. Logistic regression analyses were used to study variables related to the achievement of a predetermined level of physical functioning or to whether improvement occurred from initial to follow-up assessment. Scales used in the analyses were obtained from two measures of functioning, the Medical Outcomes Trust Short Form 36 (SF-36) and the Medical Rehabilitation Follow Along (MRFA instrument). Demographic and program characteristic variables obtained from clinic records were also included in the analyses. The independent variables entered into two groups of regression equations included age, gender, presenting problem, workers' compensation coverage, functioning at initial assessment, number of visits, length of program, and intensity of program. For the SF-36, the General Health scale and presenting problem predicted above or below a level greater than one standard deviation less than the mean on the Physical Functioning scale at follow-up. The combination of the Role Physical and Role Emotional scales predicted follow-up level on the Physical Component Summary (PCS) scale. The interaction of age and intensity of treatment was predictive for both the Physical Functioning and PCS scales. For predicting improvement or no improvement using the SF-36 scales, General Health and the interaction between age and intensity were predictive of change on the Physical Functioning scale, whereas age and the interaction between age and number of visits were predictive of change on the PCS scale. For the MRFA instrument, the interaction between age and the intensity of treatment was predictive for both a predetermined level of physical functioning and amount of improvement in physical functioning at follow-up. An intensity rating of pain and a measure of affective distress at initial assessment both improved the identification of patients at risk for not reaching a given level of functioning, whereas treatment intensity improved the identification of those patients at risk for not showing improvement at follow-up. Length of time between the end of outpatient therapy and follow-up assessment was generally not related to follow-up physical functioning. Interpretation and implications of these findings, as well as applications of this analytic approach to outcomes assessment, are discussed.
在一项试点研究中,对42名因腰、颈及其他肌肉骨骼问题接受物理治疗的患者样本进行了调查,以了解门诊康复平均六个月后的功能结局。采用逻辑回归分析来研究与达到预定身体功能水平相关的变量,或研究从初始评估到随访评估是否有所改善。分析中使用的量表来自两种功能测量方法,即医学结局信托简短健康调查(SF - 36)和医学康复随访(MRFA工具)。从诊所记录中获取的人口统计学和项目特征变量也纳入了分析。纳入两组回归方程的自变量包括年龄、性别、就诊问题、工伤赔偿覆盖情况、初始评估时的功能状况、就诊次数、项目时长和项目强度。对于SF - 36,一般健康量表和就诊问题可预测随访时身体功能量表上高于或低于比均值低一个标准差以上的水平。身体角色和情感角色量表的组合可预测身体成分总结(PCS)量表的随访水平。年龄与治疗强度的相互作用对身体功能量表和PCS量表均具有预测性。对于使用SF - 36量表预测改善或未改善的情况,一般健康状况以及年龄与强度之间的相互作用可预测身体功能量表上的变化,而年龄以及年龄与就诊次数之间的相互作用可预测PCS量表上的变化。对于MRFA工具,年龄与治疗强度之间的相互作用可预测随访时预定的身体功能水平和身体功能改善程度。初始评估时的疼痛强度评分和情感痛苦测量均有助于识别未达到给定功能水平风险的患者,而治疗强度有助于识别随访时未显示改善风险的患者。门诊治疗结束与随访评估之间的时间长度通常与随访时的身体功能无关。本文讨论了这些发现的解释和意义,以及这种分析方法在结局评估中的应用。