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首页> 外文期刊>Journal of Clinical Epidemiology >Eight predictive factors associated with response patterns during physiotherapy for soft tissue shoulder disorders were identified.
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Eight predictive factors associated with response patterns during physiotherapy for soft tissue shoulder disorders were identified.

机译:确定了与软组织肩部疾病理疗期间的反应模式相关的八个预测因素。

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BACKGROUND AND OBJECTIVE: Combining information on initial and final state with information on speed of response may reflect the clinical reality of the course of recovery from soft tissue shoulder disorders. The purpose was to identify baseline factors that predict patterns of response to physiotherapy. STUDY DESIGN AND SETTING: Prospective cohort of consecutive clients (n=361) with soft tissue shoulder disorders attending physiotherapy. A previous study identified four typical patterns of response such that each individual was assigned to one of four clusters (dependent outcome). Independent predictors (n=28) included demographics, disorder-related and disability measures, treatment factors, clinical findings, and expectations for recovery. Multivariable multinomial logistic regression techniques were used. RESULTS: Predictors differentiating patterns of response were: Age (by decade), duration of current shoulder problem, worker's compensation claim, client's global rating of problem, Physical Component Score (SF-36), Mental Component Score (SF-36), over the counter medication use, and therapist prediction of client to return to usual activity. CONCLUSION: Using a clinically sensible outcome, we have identified several predictors that can be used by clinicians in clinical decision making.
机译:背景与目的:将初始和最终状态的信息与反应速度的信息相结合,可能反映出软组织肩部疾病康复过程的临床现实。目的是确定可预测对理疗反应模式的基线因素。研究设计和背景:连续患者(n = 361)患有软组织肩部疾病并接受物理治疗的前瞻性队列。先前的研究确定了四种典型的反应模式,因此每个人都被分配到四个群中的一个(依赖结果)。独立的预测因素(n = 28)包括人口统计学,与疾病有关的和残疾的措施,治疗因素,临床发现以及对康复的期望。使用了多元多项式逻辑回归技术。结果:区分响应方式的预测因素是:年龄(按十年),当前肩部问题的持续时间,工人的赔偿要求,客户对问题的整体评分,身体成分得分(SF-36),心理成分得分(SF-36),对抗药物的使用,以及治疗师对服务对象的预测,表明他们会恢复正常活动。结论:利用临床上合理的结果,我们确定了临床医生可以在临床决策中使用的几种预测因素。

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