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

  • Rylan Cote Department of Physical Therapy, College of Natural, Behavioral, and Health Sciences, Simmons University, Boston, Massachusetts, USA
  • Cassandra Vietas Department of Physical Therapy, College of Natural, Behavioral, and Health Sciences, Simmons University, Boston, Massachusetts, USA
  • Megan Kolakowski Department of Physical Therapy, College of Natural, Behavioral, and Health Sciences, Simmons University, Boston, Massachusetts, USA
  • Kayla Lombardo Department of Physical Therapy, College of Natural, Behavioral, and Health Sciences, Simmons University, Boston, Massachusetts, USA
  • Jacob Prete Department of Physical Therapy, College of Natural, Behavioral, and Health Sciences, Simmons University, Boston, Massachusetts, USA
  • Amit Dashottar Department of Physical Therapy, College of Natural, Behavioral, and Health Sciences, Simmons University, Boston, Massachusetts, USA
Keywords: Craniovertebral angle, Forward head posture, Physical therapy, Posture, Telehealth

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. 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.  Conclusion: 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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Published
2021-05-18
How to Cite
Cote, R., Vietas, C., Kolakowski, M., Lombardo, K., Prete, J., & Dashottar, A. (2021). Inter and Intra-Rater Reliability of Measuring Photometric Craniovertebral Angle Using a Cloud-Based Video Communication Platform. International Journal of Telerehabilitation, 13(1). https://doi.org/10.5195/ijt.2021.6346
Section
Research