Literature DB >> 33571238

Psychometric properties of measures of upper limb activity performance in adults with and without spasticity undergoing neurorehabilitation-A systematic review.

Shannon Pike1,2, Anne Cusick3, Kylie Wales4, Lisa Cameron5, Lynne Turner-Stokes6,7, Stephen Ashford6,7,8, Natasha A Lannin1,5,9.   

Abstract

INTRODUCTION: This systematic review appraises the measurement quality of tools which assess activity and/or participation in adults with upper limb spasticity arising from neurological impairment, including methodological quality of the psychometric studies. Differences in the measurement quality of the tools for adults with a neurological impairment, but without upper limb spasticity, is also presented.
METHODS: 29 measurement tools identified in a published review were appraised in this systematic review. For each identified tool, we searched 3 databases (Medline, Embase, CINAHL) to identify psychometric studies completed with neurorehabilitation samples. Methodological quality of instrument evaluations was assessed with use of the Consensus-based Standards for the Selection of Health Status Measurement Instruments (COSMIN) checklist. Synthesis of ratings allowed an overall rating of the psychometric evidence for each measurement tool to be calculated.
RESULTS: 149 articles describing the development or evaluation of psychometric properties of 22 activity and/or participation measurement tools were included. Evidence specific to tool use for adults with spasticity was identified within only 15 of the 149 articles and provided evidence for 9 measurement tools only. Overall, COSMIN appraisal highlighted a lack of evidence of measurement quality. Synthesis of ratings demonstrated all measures had psychometric weaknesses or gaps in evidence (particularly for use of tools with adults with spasticity).
CONCLUSIONS: The systematic search, appraisal and synthesis revealed that currently there is insufficient measurement quality evidence to recommend one tool over another. Notwithstanding this conclusion, newer tools specifically designed for use with people with neurological conditions who have upper limb spasticity, have emergent measurement properties that warrant further research. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42014013190.

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Year:  2021        PMID: 33571238      PMCID: PMC7877653          DOI: 10.1371/journal.pone.0246288

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  166 in total

1.  The Assessment of Quality of Life (AQoL) instrument: a psychometric measure of health-related quality of life.

Authors:  G Hawthorne; J Richardson; R Osborne
Journal:  Qual Life Res       Date:  1999-05       Impact factor: 4.147

2.  ICF Core Sets for stroke.

Authors:  Szilvia Geyh; Alarcos Cieza; Jan Schouten; Hugh Dickson; Peter Frommelt; Zaliha Omar; Nenad Kostanjsek; Haim Ring; Gerold Stucki
Journal:  J Rehabil Med       Date:  2004-07       Impact factor: 2.912

3.  Participation and well-being poststroke: evidence of reciprocal effects.

Authors:  Mary Egan; Christopher G Davis; Claire-Jehanne Dubouloz; Dorothy Kessler; Lucy-Ann Kubina
Journal:  Arch Phys Med Rehabil       Date:  2013-08-31       Impact factor: 3.966

4.  Assessing arm and hand function after stroke: a validity test of the hierarchical scoring system used in the motor assessment scale for stroke.

Authors:  Joyce S Sabari; Ai Lian Lim; Craig A Velozo; Leigh Lehman; Owen Kieran; Jin-Shei Lai
Journal:  Arch Phys Med Rehabil       Date:  2005-08       Impact factor: 3.966

5.  Upper and lower extremity motor function and cognitive impairment in multiple sclerosis.

Authors:  Ralph H B Benedict; Roee Holtzer; Robert W Motl; Frederick W Foley; Sukhmit Kaur; David Hojnacki; Bianca Weinstock-Guttman
Journal:  J Int Neuropsychol Soc       Date:  2011-07       Impact factor: 2.892

6.  The scalability of the Rivermead Motor Assessment in nonacute stroke patients.

Authors:  S A Adams; R M Pickering; A Ashburn; N B Lincoln
Journal:  Clin Rehabil       Date:  1997-02       Impact factor: 3.477

7.  Initial psychometric evaluation of the Arm Activity Measure (ArmA): a measure of activity in the hemiparetic arm.

Authors:  Stephen Ashford; Lynne Turner-Stokes; Richard Siegert; Mike Slade
Journal:  Clin Rehabil       Date:  2013-02-20       Impact factor: 3.477

8.  Rasch-based scoring offered more precision in differentiating patient groups in measuring upper limb function.

Authors:  Asaduzzaman Khan; Chi-Wen Chien; Sandra G Brauer
Journal:  J Clin Epidemiol       Date:  2013-03-22       Impact factor: 6.437

9.  Statistical considerations in the psychometric validation of outcome measures.

Authors:  Alla Sikorskii; Philip C Noble
Journal:  Clin Orthop Relat Res       Date:  2013-11       Impact factor: 4.176

10.  Goal attainment scaling allows program evaluation of a home-based occupational therapy program.

Authors:  Natasha Lannin
Journal:  Occup Ther Health Care       Date:  2003
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