基于云视频通信平台测量光度颅椎角的内部可靠性研究。

IF 2.5 Q1 REHABILITATION International Journal of Telerehabilitation Pub Date : 2021-06-22 eCollection Date: 2021-01-01 DOI:10.5195/ijt.2021.6346
Rylan Cote, Cassandra Vietas, Megan Kolakowski, Kayla Lombardo, Jacob Prete, Amit Dashottar
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引用次数: 3

摘要

目的:由于新冠肺炎大流行期间的社交距离指南,大多数医护人员和患者都希望避免密切接触。这使得物理治疗(PT)评估困难,因为缺乏关于在虚拟环境中进行的各种临床测量的可靠性的经验证据。其中一种方法是颅椎角的光度测量。颅椎角测量通常在门诊进行,定义为连接C7棘突与耳屏的直线与穿过C7棘突的水平线之间形成的锐角。虽然光度法测量的CV角在临床上被认为是有效和可靠的,但没有经验证据表明在虚拟环境中进行的CV角测量的可靠性。因此,本研究的目的是利用基于云的视频通信平台评估光度CV角测量的内部和内部可靠性。受试者人数:66名受试者(女性57名)。方法:所有的测量都是由两名完成了课程肌肉骨骼部分的最后一年PT学生进行的,并且对彼此的测量结果不知情。每个受试者在符合hipaa的基于视频的远程医疗平台上以两种姿势拍照:(1)正常/放松姿势和(2)理想姿势(受试者认为良好的姿势)。学生研究者1测量了放松姿势和理想姿势下的CV角,而学生研究者2只测量了放松姿势下的CV角。每个受试者的CV角测量分别在三天内进行三次,并使用该方法进行进一步分析。利用峰度值和偏度值评估CV角频率分布的形状。使用类内相关系数(ICC)评估评分信度,并根据Portney和Watkins(2009)提供的指南进行解释。结果:放松体位和理想体位的CV角均呈正态分布。放松体位的均值和标准差(SD)为50.70±6.30,峰度和偏度分别为0.67和-0.74。理想体态的均值为55.50±5.40,峰度为0.1,偏度为-0.54。放松体位的评分间信度ICC为0.88,放松体位的评分内信度ICC为0.91。结论:标本颅椎角呈正态分布。当使用基于云的视频通信平台测量CV角时,可以获得可接受水平的内部和内部可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Inter and Intra-Rater Reliability of Measuring Photometric Craniovertebral Angle Using a Cloud-Based Video Communication Platform.

Objective: Due to social distancing guidelines during the Coronavirus (COVID-19) pandemic, most providers and patients have wanted to avoid close contact. This makes physical therapy (PT) assessments difficult because of the lack of empirical evidence about the reliability of various clinical measurements performed in a virtual environment. One such procedure is the photometric measurement of craniovertebral (CV) angle. Craniovertebral angle measurement is usually performed in an outpatient setting and is defined as the acute angle formed between a straight line connecting the spinous process of C7 to the tragus of the ear, and the horizontal line passing through the spinous process of the C7. Although the photometric measurement of CV angles is considered both valid and reliable in the clinics, no empirical evidence exists about the CV angle measurement reliability when performed in a virtual environment. Thus, the purpose of this study was to assess the inter- and intra-rater reliability of photometric CV angle measurement using a cloud-based video communication platform. Number of Subjects: 66 subjects (57 females).

Methods: All measurements were performed by two final year PT students who had completed the musculoskeletal part of the curriculum and were blinded to each other's measurements. Each subject was photographed in two postures over a HIPAA-compliant video-based telehealth platform: (1) normal/relaxed posture and (2) ideal posture (posture the subject considered good). Student researcher 1 measured the CV angle in both the relaxed posture and ideal posture, while student researcher 2 measured the CV angle only in the relaxed posture. Each subject's CV angle measurement was performed three times on three separate days and the means were used for further analysis. The shape of the CV angle frequency distribution was assessed using kurtosis and skewness values. Rater reliability was assessed using intraclass correlation coefficients (ICC), and interpreted based on the guidelines provided by Portney and Watkins (2009).

Results: The CV angles were normally distributed in both relaxed and ideal postures. The mean and standard deviation (SD) of relaxed posture was 50.7o ± 6.3o with kurtosis and skewness of 0.67 and -0.74 respectively. The mean and SD of ideal posture was 55.5o ± 5.4o, with kurtosis and skewness of 0.1 and -0.54 respectively. The ICC for inter-rater reliability in the relaxed posture was 0.88 and the ICC for intra-rater reliability for relaxed posture was 0.91.

Conclusions: Craniovertebral angles were normally distributed in the sample. An acceptable level of inter- and intra-rater reliability can be attained when measuring CV angle using a cloud-based video communication platform.

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来源期刊
CiteScore
4.60
自引率
6.10%
发文量
14
审稿时长
10 weeks
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