Interinstrument Reliability Between the Squegg® Smart Dynamometer and Hand Grip Trainer and the Jamar® Hydraulic Hand Dynamometer: A Pilot Study

Author:

Stamate Andreea1,Bertolaccini Jonathan2,Deriaz Michel3,Gunjan Saket4,Marzan Mircea-Dan1,Spiru Luiza5

Affiliation:

1. Andreea Stamate, PhD, is Researcher, Research Department, Ana Aslan International Foundation, Bucharest, Romania.

2. Jonathan Bertolaccini, PhD, is Scientific Collaborator, TaM Group, Information Science Institute, Geneva School of Economics and Management/Centre Universitaire d’Informatique, University of Geneva, Geneva, Switzerland.

3. Michel Deriaz, PhD, is Professor, TaM Group, Genève University of Applied Sciences and Art of Western Switzerland (HES-SO/HEG), Geneva, Switzerland.

4. Saket Gunjan, MBA, BTech, is Founder and Chief Technology Officer, Squegg Inc., Pembroke Pines, FL.

5. Luiza Spiru, MD, PhD, is President, Ana Aslan International Foundation; Head, Saint Luca’s Chronic Diseases Clinical Hospital; and Professor, Department of Geriatrics, Gerontology, Old Age Psychiatry and Longevity Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.

Abstract

Importance: Occupational therapists need dependable and accurate instruments for remote assessments and monitoring of hand functionality. These assessments monitor progress, evaluate interventions, and guide independence goals. Objective: To assess the interinstrument reliability and concurrent validity of the Squegg® Smart Dynamometer and Hand Grip Trainer and the Jamar® Hydraulic Hand Dynamometer. Design: Repeated-measures design. Setting: Individual clinic in Bucharest, Romania. Participants: Forty middle-age and older adult volunteers, healthy and free from any neuromuscular, orthopedic dysfunction that affected hand strength. Outcomes and Measures: Participants’ maximal grip strength (MGS) for both their dominant and nondominant hands was measured with both devices. Participants with odd-numbered IDs were measured with the Squegg first and the Jamar second, and those with even-numbered IDs were measured in opposite sequence. Results: Paired-samples t tests on overall mean MGS and mean MGS (three measures on each hand) showed no statistically significant differences between the two devices. Intraclass correlation analysis showed good to excellent interinstrument agreement. Pearson correlations between measurements across all participants, and hands, indicated strong agreement. Conclusions and Relevance: The Squegg shows promise for health care professionals, including occupational therapists, for grip strength assessment in clinical contexts. What This Article Adds: These results offer initial psychometric data for a new remote MGS measurement device. MGS is crucial for assessing the physical function of aging adults. Reliable measurements from such a device are vital for occupational therapists to guide treatment interventions and assess hand function’s impact on daily activities.

Publisher

AOTA Press

Subject

Occupational Therapy

Reference23 articles.

1. Reliability and validity of an electronic dynamometer for measuring grip strength;Allen;International Journal of Therapy and Rehabilitation,2011

2. Comparison of three hand dynamometers in relation to the accuracy and precision of the measurements;Amaral;Brazilian Journal of Physical Therapy,2012

3. American Occupational Therapy Association. (2023). 2023 CPT® codes for occupational therapy. https://www.aota.org/practice/practice-essentials/coding/-/media/3f72832ed5dc42ef857626a7ad86378a.ashx

4. Handgrip strength: A comparison of values obtained from the NHANES and NIH Toolbox studies;Bohannon;American Journal of Occupational Therapy,2019

5. A simplified guide to determination of sample size requirements for estimating the value of intraclass correlation coefficient: A review;Bujang;Archives of Orofacial Science,2017

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