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一款用于测量关节活动范围的智能手机应用程序的可靠性和有效性。

Reliability and validity of a smartphone app to measure joint range.

作者信息

Vohralik Sophie Louise, Bowen Annika Rose, Burns Joshua, Hiller Claire Elizabeth, Nightingale Elizabeth Jean

机构信息

From the Arthritis and Musculoskeletal Research Group, Faculty of Health Sciences, The University of Sydney, Cumberland Campus, Lidcombe (SLV, ARB, JB, CEH, EJN); and Paediatric Gait Analysis Service of New South Wales, The Children's Hospital at Westmead, Westmead, Australia (JB).

出版信息

Am J Phys Med Rehabil. 2015 Apr;94(4):325-30. doi: 10.1097/PHM.0000000000000221.

Abstract

In clinical and research settings, objective range of motion measurement is an essential component of lower limb assessment and treatment evaluation. One reliable tool is the digital inclinometer; however, availability and cost preclude its widespread use. Smartphone apps are now widely available, allowing smartphones to be used as an inclinometer. Reliability and validity studies of new technologies are scarce. Intrarater and interrater reliability of the iHandy Level app installed on a smartphone and an inclinometer were assessed in 20 participants for ankle dorsiflexion using a weight-bearing lunge test. Criterion validity was assessed between a Fastrak and the app, and construct validity was assessed between the inclinometer and the app. Intraclass correlation coefficients2,1 demonstrated excellent intrarater and interrater reliability (intraclass correlation coefficient, 0.97 and 0.76, respectively). Tests of validity demonstrated excellent correlation between all three methods (r > 0.99). The smartphone app is both reliable and valid, provides a low-cost method of measuring range of motion, and can be easily incorporated into clinical practice.

摘要

在临床和研究环境中,客观的活动范围测量是下肢评估和治疗评估的重要组成部分。一种可靠的工具是数字倾角仪;然而,其可用性和成本限制了它的广泛使用。智能手机应用程序现在广泛可用,使智能手机能够用作倾角仪。关于新技术的可靠性和有效性研究很少。使用负重弓步试验,对20名参与者安装在智能手机上的iHandy Level应用程序和倾角仪进行了踝关节背屈的组内和组间可靠性评估。在Fastrak和该应用程序之间评估了标准效度,在倾角仪和该应用程序之间评估了结构效度。组内相关系数显示出极好的组内和组间可靠性(组内相关系数分别为0.97和0.76)。效度测试表明,所有三种方法之间都具有极好的相关性(r>0.99)。智能手机应用程序既可靠又有效,提供了一种低成本的活动范围测量方法,并且可以轻松地纳入临床实践。

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