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Reliability Analysis of In-person and Virtual Goniometric Measurements of the Upper Extremity
BACKGROUND: Virtual healthcare has forced clinicians to modify or eliminate parts of the musculoskeletal evaluation such as motion assessment. Although acceptable to excellent levels of in-person goniometric reliability is achievable, reliability of virtual assessments is unknown. PURPOSE: To determ...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
NASMI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399114/ https://www.ncbi.nlm.nih.gov/pubmed/37547842 http://dx.doi.org/10.26603/001c.81065 |
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author | Spigelman, Tracy Simpkins, Leah Humphrey, Casey Vitel, Yehor Sciascia, Aaron |
author_facet | Spigelman, Tracy Simpkins, Leah Humphrey, Casey Vitel, Yehor Sciascia, Aaron |
author_sort | Spigelman, Tracy |
collection | PubMed |
description | BACKGROUND: Virtual healthcare has forced clinicians to modify or eliminate parts of the musculoskeletal evaluation such as motion assessment. Although acceptable to excellent levels of in-person goniometric reliability is achievable, reliability of virtual assessments is unknown. PURPOSE: To determine if similar upper extremity goniometric measurements could be obtained in-person and virtually. STUDY DESIGN: Reliability study; classroom setting METHODS: Publicly recruited sample over 18 years of age with no upper extremity injuries. Each subject was tested in a standing position with dominant arm facing the clinicians to visualize the landmarks for goniometer placement. Flexion and extension of the shoulder, elbow and wrist were measured. Prior to performing in-person goniometric measurements for each joint, an image was captured of each pre-determined joint position using a mobile device with a camera. This image represented the screenshot on a virtual platform. Four clinicians performed in-person measurements twice during the same session on each subject. The following week clinicians measured virtual images using the same techniques. Inter-rater and intra-rater reliability were determined via intraclass correlation coefficients (ICC). RESULTS: Inter-rater reliability for five of the six in-person (ICC≥0.81) and virtual measurements (ICC≥0.78 ) were classified as excellent. In-person wrist extension (ICC=0.60) and virtual wrist flexion (ICC=0.65) were classified as good. Intra-rater reliability for individual clinicians were between good and excellent for the in-person measurements (ICC:0.61-0.96) and virtual measurements (ICC:0.72-0.97). There were a greater number of excellent ICC values for the virtual measurements (90%) compared to in-person measurements (70%). There were statistically significant differences between in-person and virtual sessions for five of six measurements (p≤0.006). Only elbow extension did not differ between sessions (p=0.966). CONCLUSION: Virtual assessment compared to goniometric measurements showed good to excellent inter- and intra-rater reliabilities (ICC > 0.60), which suggests clinicians can utilize goniometry either in person or on a virtual platform. LEVEL OF EVIDENCE: 3b |
format | Online Article Text |
id | pubmed-10399114 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | NASMI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103991142023-08-04 Reliability Analysis of In-person and Virtual Goniometric Measurements of the Upper Extremity Spigelman, Tracy Simpkins, Leah Humphrey, Casey Vitel, Yehor Sciascia, Aaron Int J Sports Phys Ther Original Research BACKGROUND: Virtual healthcare has forced clinicians to modify or eliminate parts of the musculoskeletal evaluation such as motion assessment. Although acceptable to excellent levels of in-person goniometric reliability is achievable, reliability of virtual assessments is unknown. PURPOSE: To determine if similar upper extremity goniometric measurements could be obtained in-person and virtually. STUDY DESIGN: Reliability study; classroom setting METHODS: Publicly recruited sample over 18 years of age with no upper extremity injuries. Each subject was tested in a standing position with dominant arm facing the clinicians to visualize the landmarks for goniometer placement. Flexion and extension of the shoulder, elbow and wrist were measured. Prior to performing in-person goniometric measurements for each joint, an image was captured of each pre-determined joint position using a mobile device with a camera. This image represented the screenshot on a virtual platform. Four clinicians performed in-person measurements twice during the same session on each subject. The following week clinicians measured virtual images using the same techniques. Inter-rater and intra-rater reliability were determined via intraclass correlation coefficients (ICC). RESULTS: Inter-rater reliability for five of the six in-person (ICC≥0.81) and virtual measurements (ICC≥0.78 ) were classified as excellent. In-person wrist extension (ICC=0.60) and virtual wrist flexion (ICC=0.65) were classified as good. Intra-rater reliability for individual clinicians were between good and excellent for the in-person measurements (ICC:0.61-0.96) and virtual measurements (ICC:0.72-0.97). There were a greater number of excellent ICC values for the virtual measurements (90%) compared to in-person measurements (70%). There were statistically significant differences between in-person and virtual sessions for five of six measurements (p≤0.006). Only elbow extension did not differ between sessions (p=0.966). CONCLUSION: Virtual assessment compared to goniometric measurements showed good to excellent inter- and intra-rater reliabilities (ICC > 0.60), which suggests clinicians can utilize goniometry either in person or on a virtual platform. LEVEL OF EVIDENCE: 3b NASMI 2023-08-01 /pmc/articles/PMC10399114/ /pubmed/37547842 http://dx.doi.org/10.26603/001c.81065 Text en © The Author(s) https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (4.0) (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Original Research Spigelman, Tracy Simpkins, Leah Humphrey, Casey Vitel, Yehor Sciascia, Aaron Reliability Analysis of In-person and Virtual Goniometric Measurements of the Upper Extremity |
title | Reliability Analysis of In-person and Virtual Goniometric Measurements of the Upper Extremity |
title_full | Reliability Analysis of In-person and Virtual Goniometric Measurements of the Upper Extremity |
title_fullStr | Reliability Analysis of In-person and Virtual Goniometric Measurements of the Upper Extremity |
title_full_unstemmed | Reliability Analysis of In-person and Virtual Goniometric Measurements of the Upper Extremity |
title_short | Reliability Analysis of In-person and Virtual Goniometric Measurements of the Upper Extremity |
title_sort | reliability analysis of in-person and virtual goniometric measurements of the upper extremity |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399114/ https://www.ncbi.nlm.nih.gov/pubmed/37547842 http://dx.doi.org/10.26603/001c.81065 |
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