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Clinical Utility and Usability of the Digital Box and Block Test: Mixed Methods Study

Clinical Utility and Usability of the Digital Box and Block Test: Mixed Methods Study

The Box and Block Test (BBT) is a widely used assessment for measuring hand dexterity, a crucial aspect of hand function [3]. The original BBT comprises a wooden box with a raised partition at the center (see Figure 1 A). The objective is to transfer as many blocks as possible from 1 side of the partition to the other within a 60-second time frame [4]. This assessment, in its unaltered format, has been used for decades, predominantly in clinical settings, to quantify gross manual dexterity [5].

Eveline Prochaska, Elske Ammenwerth

JMIR Rehabil Assist Technol 2024;11:e54939

A Digital Box and Block Test for Hand Dexterity Measurement: Instrument Validation Study

A Digital Box and Block Test for Hand Dexterity Measurement: Instrument Validation Study

Dexterity is the ability of a person to use their fingers, hands, and arms to perform tasks such as activities of daily living [1]. Manual dexterity is an important indicator of upper limb motor function [2] and is frequently measured by researchers and clinicians to represent rehabilitative effectiveness [3]. One of the most commonly used assessments for gross manual dexterity (International Classification of Functioning, Disability and Health domain mobility d4) is the Box and Block Test (BBT) [4,5].

Eveline Prochaska, Elske Ammenwerth

JMIR Rehabil Assist Technol 2023;10:e50474

Feasibility of a Home-Based Tablet App for Dexterity Training in Multiple Sclerosis: Usability Study

Feasibility of a Home-Based Tablet App for Dexterity Training in Multiple Sclerosis: Usability Study

However, the primary aim of this app was to promote overall physical activity and not dexterity. So far, one app to measure dexterity in MS [16] and two dexterity training apps [17,18] have been developed and tested for their feasibility, either among stroke survivors [17] or among people after surgical carpal tunnel release [18]. The content of these training apps was primarily based on tapping or pinching performance of single digits [17,18].

Judith Jantine Willemijn van Beek, Erwin Everardus Henri van Wegen, Marc Berend Rietberg, Thomas Nyffeler, Stephan Bohlhalter, Christian Philipp Kamm, Tobias Nef, Tim Vanbellingen

JMIR Mhealth Uhealth 2020;8(6):e18204