首页> 外文期刊>Journal of hand therapy: Official journal of the American Society of Hand Therapists >Factors influencing final outcomes in patients with shoulder pain: A?retrospective review
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Factors influencing final outcomes in patients with shoulder pain: A?retrospective review

机译:影响肩痛患者最终结果的因素:a?回顾性评论

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Abstract Study Design Retrospective cohort. Introduction Rehabilitation interventions are commonly prescribed for patients with shoulder pain, but it is unclear what factors may help clinicians' prognosis for final outcomes. Purpose of the Study The purpose of this study is to determine what factors are the best predictors of improved patient-reported outcomes at discharge in patients with shoulder pain. Methods Retrospective chart review of 128 patients presenting with shoulder pain to an outpatient physical therapy clinic. Chart review captured data regarding patient demographics, treatment interventions, patient history, and patient-reported outcome scores. The primary dependent variable was the overall change score of the QuickDASH (initial to discharge). Thirty-eight predictor variables were entered into a forward stepwise multivariate linear regression model to determine which variables and to what degree contributed to the dependent variable. Results The linear regression model identified 5 predictor variables that yielded an R?= 0.74 and adjusted R 2 ?= 0.538 ( P Discussion Early change scores, equal to minimal detectable change scores on patient-reported outcomes appear to be strong indicators that patients with shoulder pain are on a positive trajectory to benefit from rehabilitation. Conclusion Using patient-reported outcomes throughout care, not just at the start and end of care, will provide therapist feedback regarding patient's progress and indicate treatment effectiveness. Levels of Evidence 4.
机译:抽象研究设计回顾性队列。引言康复干预均常为肩痛的患者规定,但目前尚不清楚因素可能有助于临床医生对最终结果的预后。该研究的目的是本研究的目的是确定有什么因素是肩痛患者放电时改善患者报告的结果的最佳预测因子。方法回顾性图表肩部疼痛对门诊物理治疗诊所的128例患者的回顾。图表审查捕获的数据有关患者人口统计,治疗干预,患者历史和患者报告的结果分数。主要依赖变量是QuickDash的总体变化得分(初始排放)。将三十八个预测变量输入到前向逐步多变量线性回归模型中,以确定哪些变量以及贡献到从属变量。结果线性回归模型确定了5个预测变量,其产生了r?= 0.74并调整的r 2?= 0.538(P讨论早期变化分数,等于患者报告的结果的最小可检测变化评分似乎是肩部患者的强大指标疼痛是积极的轨迹,可以从康复中受益。结论在护理期间使用患者报告的结果,而不仅仅是在护理的开始和结束,将提供关于患者进步的治疗师反馈,并表明治疗效果。证据4。

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