Abstract

Background: The Nine-Hole Peg Test (9HPT) is the golden standard to measure manual dexterity in people with multiple sclerosis (MS). However, administration requires trained personnel and dedicated time during a clinical visit. Objectives: The objective of this study is to validate a smartphone-based test for remote manual dexterity assessment, the icompanion Finger Dexterity Test (FDT), to be included into the icompanion application. Methods: A total of 65 MS and 81 healthy subjects were tested, and 20 healthy subjects were retested 2 weeks later. Results: The FDT significantly correlated with the 9HPT (dominant: ρ = 0.62, p < 0.001; non-dominant: ρ = 0.52, p < 0.001). MS subjects had significantly higher FDT scores than healthy subjects (dominant: p = 0.015; non-dominant: p = 0.013), which was not the case for the 9HPT. A significant correlation with age (dominant: ρ = 0.46, p < 0.001; non-dominant: ρ = 0.40, p = 0.002), Expanded Disability Status Scale (EDSS, dominant: ρ = 0.36, p = 0.005; non-dominant: ρ = 0.31, p = 0.024), and disease duration for the non-dominant hand (ρ = 0.31, p = 0.016) was observed. There was a good test–retest reliability in healthy subjects (dominant: r = 0.69, p = 0.001; non-dominant: r = 0.87, p < 0.001). Conclusions: The icompanion FDT shows a moderate-to-good concurrent validity and test–retest reliability, differentiates between the MS subjects and healthy controls, and correlates with clinical parameters. This test can be implemented into routine MS care for remote follow-up of manual dexterity.

Original languageEnglish
Pages (from-to)121-130
Number of pages10
JournalMultiple Sclerosis Journal
Volume30
Issue number1
DOIs
Publication statusPublished - Jan 2024

Bibliographical note

Funding Information:
The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: D.V.L. is funded by a Fonds Wetenschappelijk Onderzoek (FWO) PhD fellowship (1SD5322N, https://www.fwo.be ). S.D. prepares a PhD with ico metrix as industrial partner, funded by a personal industrial PhD grant (Baekeland, HBC.2019.2579) appointed by Flanders Innovation and Entrepreneurship. J.B. has nothing to disclose. L.C. is an employee of ico metrix . A.D. is an employee of ico metrix . A.V.R. has nothing to disclose. A.V.M.-W. has nothing to disclose. M.B.D. has nothing to disclose. M.D. has nothing to disclose. D.S. is an employee and shareholder of ico metrix . D.M.S. is an employee of ico metrix . J.V.S. has nothing to disclose. G.N. is a minority shareholder of ico metrix and a senior clinical research fellow of the FWO Flanders (1805620N, https://www.fwo.be ).

Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: D.V.L. is funded by an FWO Flanders PhD fellowship (1SD5322N, https://www.fwo.be ). S.D. is funded by a personal industrial PhD grant (Baekeland, HBC.2019.2579) appointed by Flanders Innovation and Entrepreneurship. G.N. is a senior clinical research fellow of the FWO Flanders (1805620N). This study is in part funded through the CLAIMS project, which is supported by the Innovative Health Initiative Joint Undertaking (JU) under grant agreement no. 101112153. The JU receives support from the European Union’s Horizon Europe research and innovation program and COCIR, EFPIA, EuropaBio, MedTech Europe, Vaccines Europe, AB Science SA, and icometrix NV.

Publisher Copyright:
© The Author(s), 2023.

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