Pourahmadi Mohammad Reza, Ebrahimi Takamjani Ismail, Sarrafzadeh Javad, Bahramian Mehrdad, Mohseni-Bandpei Mohammad Ali, Rajabzadeh Fatemeh, Taghipour Morteza
Department of Physiotherapy, School of Rehabilitation Sciences, Iran University of Medical Sciences and Health Services, Tehran, Iran.
Paediatric Neurorehabilitation Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
J Anat. 2017 Mar;230(3):484-495. doi: 10.1111/joa.12568. Epub 2016 Dec 2.
Measurement of wrist range of motion (ROM) is often considered to be an essential component of wrist physical examination. The measurement can be carried out through various instruments such as goniometers and inclinometers. Recent smartphones have been equipped with accelerometers and magnetometers, which, through specific software applications (apps) can be used for goniometric functions. This study, for the first time, aimed to evaluate the reliability and concurrent validity of a new smartphone goniometric app (Goniometer Pro©) for measuring active wrist ROM. In all, 120 wrists of 70 asymptomatic adults (38 men and 32 women; aged 18-40 years) were assessed in a physiotherapy clinic located at the School of Rehabilitation Sciences, Iran University of Medical Science and Health Services, Tehran, Iran. Following the recruitment process, active wrist ROM was measured using a universal goniometer and iPhone 5 app. Two blinded examiners each utilized the universal goniometer and iPhone to measure active wrist ROM using a volar/dorsal alignment technique in the following sequences: flexion, extension, radial deviation, and ulnar deviation. The second (2 h later) and third (48 h later) sessions were carried out in the same manner as the first session. All the measurements were conducted three times and the mean value of three repetitions for each measurement was used for analysis. Intraclass correlation coefficient (ICC) models (3, k) and (2, k) were used to determine the intra-rater and inter-rater reliability, respectively. The Pearson correlation coefficients were used to establish concurrent validity of the iPhone app. Good to excellent intra-rater and inter-rater reliability was demonstrated for the goniometer with ICC values of ≥ 0.82 and ≥ 0.73 and the iPhone app with ICC values of ≥ 0.83 and ≥ 0.79, respectively. Minimum detectable change at the 95% confidence level (MDC ) was computed as 1.96 × standard error of measurement × √2. The MDC ranged from 1.66° to 5.35° for the intra-rater analysis and from 1.97° to 6.15° for the inter-rater analysis. The concurrent validity between the two instruments was high, with r values of ≥ 0.80. From the results of this cross-sectional study, it can be concluded that the iPhone app possesses good to excellent intra-rater and inter-rater reliability and concurrent validity. It seems that this app can be used for the measurement of wrist ROM. However, further research is needed to evaluate symptomatic subjects using this app.
腕关节活动范围(ROM)的测量通常被认为是腕关节体格检查的重要组成部分。该测量可通过多种仪器进行,如角度计和倾角仪。最近的智能手机配备了加速度计和磁力计,通过特定的软件应用程序(应用)可用于角度测量功能。本研究首次旨在评估一款新型智能手机角度测量应用程序(Goniometer Pro©)测量腕关节主动ROM的可靠性和同时效度。在伊朗德黑兰医科大学和健康服务学院康复科学学院的一家物理治疗诊所,对70名无症状成年人(38名男性和32名女性;年龄18 - 40岁)的120个腕关节进行了评估。在招募过程之后,使用通用角度计和iPhone 5应用程序测量腕关节主动ROM。两名盲法检查者分别使用通用角度计和iPhone,采用掌侧/背侧对齐技术,按以下顺序测量腕关节主动ROM:屈曲、伸展、桡偏和尺偏。第二(2小时后)和第三(48小时后)次测量与第一次测量方式相同。所有测量均进行三次,并将每次测量三次重复的平均值用于分析。组内相关系数(ICC)模型(3,k)和(2,k)分别用于确定检查者内和检查者间的可靠性。Pearson相关系数用于确定iPhone应用程序的同时效度。角度计的检查者内和检查者间可靠性良好至优秀,ICC值分别≥0.82和≥0.73,iPhone应用程序的ICC值分别≥0.83和≥0.79。95%置信水平下的最小可检测变化(MDC)计算为1.96×测量标准误差×√2。检查者内分析的MDC范围为1.66°至5.35°,检查者间分析的MDC范围为1.97°至6.15°。两种仪器之间的同时效度很高,r值≥0.80。从这项横断面研究的结果可以得出结论,iPhone应用程序具有良好至优秀的检查者内和检查者间可靠性以及同时效度。似乎该应用程序可用于腕关节ROM的测量。然而,需要进一步研究以评估使用该应用程序的有症状受试者。