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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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.
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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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