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Next-Generation Remote Hand Assessments: Cross-Platform DIGITS Web Application
PURPOSE: We have previously developed DIGITS, a platform for remote evaluation of range of motion, dexterity, and swelling of fingers for reducing barriers to accessing clinical resources. The current study was aimed at evaluating DIGITS across different devices with varied operating systems and cam...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264844/ https://www.ncbi.nlm.nih.gov/pubmed/37323972 http://dx.doi.org/10.1016/j.jhsg.2023.01.016 |
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author | Dong, Hongdao Shin, Herbert Ho, Edward Jin, Helen Jingshu Letourneau, Sasha Banerjee, Tania Masschelein, Geoffrey Davidson, Jacob Wilson, Claire de Ribaupierre, Sandrine Eagleson, Roy Symonette, Caitlin Jane |
author_facet | Dong, Hongdao Shin, Herbert Ho, Edward Jin, Helen Jingshu Letourneau, Sasha Banerjee, Tania Masschelein, Geoffrey Davidson, Jacob Wilson, Claire de Ribaupierre, Sandrine Eagleson, Roy Symonette, Caitlin Jane |
author_sort | Dong, Hongdao |
collection | PubMed |
description | PURPOSE: We have previously developed DIGITS, a platform for remote evaluation of range of motion, dexterity, and swelling of fingers for reducing barriers to accessing clinical resources. The current study was aimed at evaluating DIGITS across different devices with varied operating systems and camera resolutions using a single person’s hands. METHODS: Our team has now developed a web application version of the DIGITS platform, which makes it accessible on any device that is equipped with a camera, including computers, tablets, and smartphones. In the present study, we aimed to validate this web application by comparing flexion and extension measurements on the same person’s hands using three different devices with cameras of different resolutions. The absolute difference, SD, standard mean error, and intraclass correlation coefficient were calculated. Additionally, equivalency testing was performed using the confidence interval approach. RESULTS: Our findings indicated that the differences in degree measured between the devices ranged from 2° to 3° when digit extension was assessed (all hand landmarks are visible in the camera’s direct view) and from 3° to 8° when digit flexion was assessed (some of the hand landmarks are hidden from view). The intraclass correlation coefficient of individual trials ranged from 0.82 to 0.96 for extension and 0.77 to 0.87 for flexion across all devices. Additionally, within a 90% confidence interval, our data showed equivalency with measurements using three different devices. CONCLUSIONS: The absolute differences were within an acceptable 9° tolerance for measurements taken between devices for flexion and extension. Equivalency was observed for measurements of finger range of motion taken using DIGITS, regardless of devices, platforms, or camera resolutions. CLINICAL RELEVANCE: In summary, the DIGITS web application has good test-retest reliability to generate data on finger range of motion for hand telerehabilitation. DIGITS can reduce costs to patients, providers, and health care facilities for conducting postoperative follow-up assessments. |
format | Online Article Text |
id | pubmed-10264844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102648442023-06-15 Next-Generation Remote Hand Assessments: Cross-Platform DIGITS Web Application Dong, Hongdao Shin, Herbert Ho, Edward Jin, Helen Jingshu Letourneau, Sasha Banerjee, Tania Masschelein, Geoffrey Davidson, Jacob Wilson, Claire de Ribaupierre, Sandrine Eagleson, Roy Symonette, Caitlin Jane J Hand Surg Glob Online Original Research PURPOSE: We have previously developed DIGITS, a platform for remote evaluation of range of motion, dexterity, and swelling of fingers for reducing barriers to accessing clinical resources. The current study was aimed at evaluating DIGITS across different devices with varied operating systems and camera resolutions using a single person’s hands. METHODS: Our team has now developed a web application version of the DIGITS platform, which makes it accessible on any device that is equipped with a camera, including computers, tablets, and smartphones. In the present study, we aimed to validate this web application by comparing flexion and extension measurements on the same person’s hands using three different devices with cameras of different resolutions. The absolute difference, SD, standard mean error, and intraclass correlation coefficient were calculated. Additionally, equivalency testing was performed using the confidence interval approach. RESULTS: Our findings indicated that the differences in degree measured between the devices ranged from 2° to 3° when digit extension was assessed (all hand landmarks are visible in the camera’s direct view) and from 3° to 8° when digit flexion was assessed (some of the hand landmarks are hidden from view). The intraclass correlation coefficient of individual trials ranged from 0.82 to 0.96 for extension and 0.77 to 0.87 for flexion across all devices. Additionally, within a 90% confidence interval, our data showed equivalency with measurements using three different devices. CONCLUSIONS: The absolute differences were within an acceptable 9° tolerance for measurements taken between devices for flexion and extension. Equivalency was observed for measurements of finger range of motion taken using DIGITS, regardless of devices, platforms, or camera resolutions. CLINICAL RELEVANCE: In summary, the DIGITS web application has good test-retest reliability to generate data on finger range of motion for hand telerehabilitation. DIGITS can reduce costs to patients, providers, and health care facilities for conducting postoperative follow-up assessments. Elsevier 2023-02-26 /pmc/articles/PMC10264844/ /pubmed/37323972 http://dx.doi.org/10.1016/j.jhsg.2023.01.016 Text en Crown Copyright © 2023 Published by Elsevier Inc. on behalf of The American Society for Surgery of the Hand. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Dong, Hongdao Shin, Herbert Ho, Edward Jin, Helen Jingshu Letourneau, Sasha Banerjee, Tania Masschelein, Geoffrey Davidson, Jacob Wilson, Claire de Ribaupierre, Sandrine Eagleson, Roy Symonette, Caitlin Jane Next-Generation Remote Hand Assessments: Cross-Platform DIGITS Web Application |
title | Next-Generation Remote Hand Assessments: Cross-Platform DIGITS Web Application |
title_full | Next-Generation Remote Hand Assessments: Cross-Platform DIGITS Web Application |
title_fullStr | Next-Generation Remote Hand Assessments: Cross-Platform DIGITS Web Application |
title_full_unstemmed | Next-Generation Remote Hand Assessments: Cross-Platform DIGITS Web Application |
title_short | Next-Generation Remote Hand Assessments: Cross-Platform DIGITS Web Application |
title_sort | next-generation remote hand assessments: cross-platform digits web application |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264844/ https://www.ncbi.nlm.nih.gov/pubmed/37323972 http://dx.doi.org/10.1016/j.jhsg.2023.01.016 |
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