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使用基于云的视频通信平台测量光测颅颈角的评分者间和评分者内信度

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

作者信息

Cote Rylan, Vietas Cassandra, Kolakowski Megan, Lombardo Kayla, Prete Jacob, Dashottar Amit

机构信息

Department of Physical Therapy, College of Natural, Behavioral, and Health Sciences, Simmons University, Boston, Massachusetts, Usa.

出版信息

Int J Telerehabil. 2021 Jun 22;13(1):e6346. doi: 10.5195/ijt.2021.6346. eCollection 2021.

Abstract

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. 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.

摘要

目的

由于冠状病毒病(COVID-19)大流行期间的社交距离指导原则,大多数医疗服务提供者和患者都希望避免密切接触。这使得物理治疗(PT)评估变得困难,因为缺乏关于在虚拟环境中进行的各种临床测量可靠性的实证证据。颅颈(CV)角的光度测量就是这样一种程序。颅颈角测量通常在门诊环境中进行,定义为连接C7棘突与耳屏的直线与经过C7棘突的水平线之间形成的锐角。尽管在临床中CV角的光度测量被认为是有效且可靠的,但在虚拟环境中进行CV角测量的可靠性尚无实证证据。因此,本研究的目的是使用基于云的视频通信平台评估CV角光度测量的评分者间和评分者内可靠性。66名受试者(57名女性)。

方法

所有测量均由两名完成了课程中肌肉骨骼部分的PT专业最后一年学生进行,他们对彼此的测量结果不知情。在一个符合健康保险流通与责任法案(HIPAA)的基于视频的远程医疗平台上,对每个受试者的两种姿势进行拍照:(1)正常/放松姿势和(2)理想姿势(受试者认为良好的姿势)。学生研究员1测量了放松姿势和理想姿势下的CV角,而学生研究员2仅测量了放松姿势下的CV角。每个受试者的CV角测量在三个不同的日子里进行了三次,并将平均值用于进一步分析。使用峰度和偏度值评估CV角频率分布的形状。使用组内相关系数(ICC)评估评分者可靠性,并根据波特尼和沃特金斯(2009年)提供的指南进行解释。

结果

CV角在放松姿势和理想姿势下均呈正态分布。放松姿势的平均值和标准差(SD)为50.7°±6.3°,峰度和偏度分别为0.67和-0.74。理想姿势的平均值和SD为55.5°±5.4°,峰度和偏度分别为0.1和-0.54。放松姿势下评分者间可靠性的ICC为0.88,放松姿势下评分者内可靠性的ICC为0.91。

结论

样本中的颅颈角呈正态分布。使用基于云的视频通信平台测量CV角时,可以达到可接受的评分者间和评分者内可靠性水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1755/8287705/c71335780340/ijt-13-e6346-g001.jpg

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