Literature DB >> 28675943

Do Activity Level Outcome Measures Commonly Used in Neurological Practice Assess Upper-Limb Movement Quality?

Marika Demers1,2, Mindy F Levin1,2.   

Abstract

BACKGROUND: Movement is described in terms of task-related end point characteristics in external space and movement quality (joint rotations in body space). Assessment of upper-limb (UL) movement quality can assist therapists in designing effective treatment approaches for retraining lost motor elements and provide more detailed measurements of UL motor improvements over time.
OBJECTIVE: To determine the extent to which current activity level outcome measures used in neurological practice assess UL movement quality.
METHODS: Outcome measures assessing arm/hand function at the International Classification of Function activity level recommended by neurological clinical practice guidelines were reviewed. Measures assessing the UL as part of a general mobility assessment, those strictly evaluating body function/structure or participation, and paediatric measures were excluded.
RESULTS: In all, 15 activity level outcome measures were identified; 9 measures assess how movement is performed by measuring either end point characteristics or movement quality. However, except for the Reaching Performance Scale for Stroke and the Motor Evaluation Scale for Upper Extremity in Stroke Patients, these measures only account for deficits indirectly by giving a partial score if movements are slower or if the person experiences difficulties. Six outcome measures neither assess any parameters related to movement quality, nor distinguish between improvements resulting from motor compensation or recovery of desired movement strategies.
CONCLUSION: Current activity measures may not distinguish recovery from compensation and adequately track changes in movement quality over time. Movement quality may be incorporated into clinical assessment using observational kinematics with or without low-cost motion tracking technology.

Entities:  

Keywords:  compensation; movement quality; neurology; outcome measure (MeSH: outcome assessment); paresis; recovery; upper extremity

Mesh:

Year:  2017        PMID: 28675943     DOI: 10.1177/1545968317714576

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  12 in total

1.  Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments.

Authors:  Margit Alt Murphy; Steve Murphy; Hanna C Persson; Ulla-Britt Bergström; Katharina Stibrant Sunnerhagen
Journal:  J Vis Exp       Date:  2018-03-28       Impact factor: 1.355

2.  A Reaching Performance Scale for 2 Wolf Motor Function Test Items.

Authors:  Clarisa Martinez; Helen Bacon; Veronica Rowe; David Russak; Erin Fitzgerald; Michelle Woodbury; Steven L Wolf; Carolee Winstein
Journal:  Arch Phys Med Rehabil       Date:  2020-05-17       Impact factor: 3.966

Review 3.  Machine Learning for 3D Kinematic Analysis of Movements in Neurorehabilitation.

Authors:  Ahmet Arac
Journal:  Curr Neurol Neurosci Rep       Date:  2020-06-15       Impact factor: 5.081

4.  Effect of post-stroke spasticity on voluntary movement of the upper limb.

Authors:  Hadar Lackritz; Yisrael Parmet; Silvi Frenkel-Toledo; Melanie C Baniña; Nachum Soroker; John M Solomon; Dario G Liebermann; Mindy F Levin; Sigal Berman
Journal:  J Neuroeng Rehabil       Date:  2021-05-13       Impact factor: 4.262

5.  Increasing upper limb training intensity in chronic stroke using embodied virtual reality: a pilot study.

Authors:  Daniel Perez-Marcos; Odile Chevalley; Thomas Schmidlin; Gangadhar Garipelli; Andrea Serino; Philippe Vuadens; Tej Tadi; Olaf Blanke; José D R Millán
Journal:  J Neuroeng Rehabil       Date:  2017-11-17       Impact factor: 4.262

6.  Virtual reality experiences, embodiment, videogames and their dimensions in neurorehabilitation.

Authors:  Daniel Perez-Marcos
Journal:  J Neuroeng Rehabil       Date:  2018-11-26       Impact factor: 4.262

7.  3-Dimensional printing in rehabilitation: feasibility of printing an upper extremity gross motor function assessment tool.

Authors:  Naaz Kapadia; Mathew Myers; Kristin Musselman; Rosalie H Wang; Aaron Yurkewich; Milos R Popovic
Journal:  Biomed Eng Online       Date:  2021-01-05       Impact factor: 2.819

8.  Construct Validity of the Upper-Limb Interlimb Coordination Test in Stroke.

Authors:  Roni Molad; Mindy F Levin
Journal:  Neurorehabil Neural Repair       Date:  2021-10-29       Impact factor: 3.919

9.  European evidence-based recommendations for clinical assessment of upper limb in neurorehabilitation (CAULIN): data synthesis from systematic reviews, clinical practice guidelines and expert consensus.

Authors:  Gerdienke B Prange-Lasonder; Margit Alt Murphy; Ilse Lamers; Ann-Marie Hughes; Jaap H Buurke; Peter Feys; Thierry Keller; Verena Klamroth-Marganska; Ina M Tarkka; Annick Timmermans; Jane H Burridge
Journal:  J Neuroeng Rehabil       Date:  2021-11-08       Impact factor: 4.262

10.  Accelerometry-Based Metrics to Evaluate the Relative Use of the More Affected Arm during Daily Activities in Adults Living with Cerebral Palsy.

Authors:  Isabelle Poitras; Jade Clouâtre; Alexandre Campeau-Lecours; Catherine Mercier
Journal:  Sensors (Basel)       Date:  2022-01-28       Impact factor: 3.576

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