首页> 外文期刊>Clinical journal of sport medicine: official journal of the Canadian Academy of Sport Medicine >Development and validation of a computerized visual analog scale for the measurement of pain in patients with patellofemoral pain syndrome
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Development and validation of a computerized visual analog scale for the measurement of pain in patients with patellofemoral pain syndrome

机译:visual股痛综合征患者疼痛的计算机视觉模拟量表的开发和验证

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OBJECTIVE:: To develop a computerized visual analog scale (cVAS) system and determine if it could be used in place of the traditional 100-mm paper-based visual analog scale (pVAS) method for the measurement of pain in patients with patellofemoral pain syndrome (PFPS). DESIGN:: Descriptive laboratory study. SETTING:: Biomechanics laboratory. PARTICIPANTS:: Thirty-six runners diagnosed with PFPS. INTERVENTIONS:: A cVAS system was custom-coded for this study. Participants completed both the cVAS survey and a pVAS survey that measured usual knee pain during running, walking, prolonged sitting, stair ascent, stair descent, and squatting movements. Thus, 216 paired measurements were made in total. MAIN OUTCOME MEASURES:: Pearson correlation coefficients and slopes of the line of best fit were calculated to assess the relationship between cVAS and pVAS scores, and Bland-Altman plots were constructed to determine cVAS agreement to pVAS scores. RESULTS:: All cVAS measures were highly correlated to pVAS scores (all r values were >0.9), and slopes were always near 1.0. Bland-Altman plots demonstrated that there was good agreement between the 2 methods. CONCLUSIONS:: The cVAS system that was developed is a valid method for measurement of pain in patients with PFPS. Further use of the cVAS for studies involving PFPS is supported. 2013 by Lippincott Williams & Wilkins.
机译:目的:开发一种计算机化的视觉模拟量表(cVAS)系统并确定是否可以代替传统的100毫米纸质视觉模拟量表(pVAS)方法来测量pa股痛综合征患者的疼痛(PFPS)。设计::描述性实验室研究。地点::生物力学实验室。参与者:36名被确诊为PFPS的跑步者。干预措施::为这项研究定制了cVAS系统。参与者完成了cVAS调查和pVAS调查,该调查测量了跑步,走路,长时间坐着,爬楼梯,下楼梯和下蹲运动期间常见的膝盖疼痛。因此,总共进行了216次配对测量。主要观察指标:计算最佳拟合线的Pearson相关系数和斜率,以评估cVAS和pVAS评分之间的关​​系,并构建Bland-Altman图以确定cVAS与pVAS评分的一致性。结果:所有cVAS量度均与pVAS评分高度相关(所有r值均> 0.9),斜率始终接近1.0。 Bland-Altman图表明两种方法之间有很好的一致性。结论:开发的cVAS系统是一种用于测量PFPS患者疼痛的有效方法。支持将cVAS进一步用于涉及PFPS的研究。 Lippincott Williams&Wilkins,2013年。

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