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3-Dimensional printing in rehabilitation: feasibility of printing an upper extremity gross motor function assessment tool

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Title: 3-Dimensional printing in rehabilitation: feasibility of printing an upper extremity gross motor function assessment tool
Authors: Kapadia, N
Myers, M
Musselman, K
Wang, RH
Yurkewich, A
Popovic, MR
Item Type: Journal Article
Abstract: Background Use of standardized and scientifically sound outcome measures is encouraged in clinical practice and research. With the development of newer rehabilitation therapies, we need technology-supported upper extremity outcome measures that are easily accessible, reliable and valid. 3‐Dimensional printing (3D-printing) has recently seen a meteoric rise in interest within medicine including the field of Physical Medicine and Rehabilitation. The primary objective of this study was to evaluate the feasibility of designing and constructing a 3D printed version of the Toronto Rehabilitation Institute-Hand Function Test (TRI-HFT). The TRI-HFT is an upper extremity gross motor function assessment tool that measures function at the intersection of the International Classification of Function’s body structure and function, and activity domain. The secondary objective was to assess the preliminary psychometrics of this test in individuals with stroke. Results 3D design files were created using the measurements of the original TRI-HFT objects. The 3D printed objects were then compared to the original test objects to ensure that the original dimensions were preserved. All objects were successfully printed except the sponge and paper which required some modification. The error margin for weight of the objects was within 10% of the original TRI-HFT for the rest of the objects. Nine participants underwent the following assessments: the Chedoke Arm and Hand Activity Inventory (CAHAI), Fugl Meyer Assessment-Hand (FMA-Hand), Chedoke McMaster stages of recovery of the arm (CMSA-Arm) and Chedoke McMaster stages of recovery of the hand (CMSA-Hand) and the 3D TRI-HFT for assessment of psychometric properties of the test. The video recorded assessment of the 3D TRI-HFT was used for reliability testing. Construct validity was assessed by comparing the scores on 3D TRI-HFT with the scores on CAHAI, CMSA-Arm, CMSA-Hand and FMA-Hand. The 3D TRI-HFT had high inter-rater reliability (Intra-Class Correlation Co-efficient (ICC) of 0.99; P < 0.000), high intra-rater reliability (ICC of 0.99; P < 0.000) and moderate-to-strong correlation with the CMSA-Arm, CMSA-Hand and FMA-Hand scores. Conclusions The TRI-HFT could be successfully 3D printed and initial testing indicates that the test is a reliable and valid measure of upper extremity motor function in individuals with stroke.
Issue Date: 5-Dec-2021
Date of Acceptance: 11-Dec-2020
URI: http://hdl.handle.net/10044/1/86259
DOI: 10.1186/s12938-020-00839-3
ISSN: 1475-925X
Publisher: BioMed Central
Journal / Book Title: BioMedical Engineering OnLine
Volume: 20
Issue: 1
Copyright Statement: © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publi cdoma in/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data
Keywords: Science & Technology
Technology
Engineering, Biomedical
Engineering
3D printing
Rehabilitation
Upper extremity
Stroke
Outcome measure
Assessment
Psychometric properties
TEST-RETEST RELIABILITY
RESEARCH ARM TEST
PHYSICAL-THERAPY
OUTCOME MEASURES
VALIDITY
VALIDATION
DESIGN
3D printing
Assessment
Outcome measure
Psychometric properties
Rehabilitation
Stroke
Upper extremity
Science & Technology
Technology
Engineering, Biomedical
Engineering
3D printing
Rehabilitation
Upper extremity
Stroke
Outcome measure
Assessment
Psychometric properties
TEST-RETEST RELIABILITY
RESEARCH ARM TEST
PHYSICAL-THERAPY
OUTCOME MEASURES
VALIDITY
VALIDATION
DESIGN
Biomedical Engineering
0903 Biomedical Engineering
Publication Status: Published
Article Number: ARTN 2
Appears in Collections:Bioengineering



This item is licensed under a Creative Commons License Creative Commons