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Measures of balance and falls risk prediction in people with Parkinson’s disease: a systematic review of psychometric properties

OBJECTIVE: To investigate the psychometric properties of measures of balance and falls risk prediction in people with Parkinson’s disease (PD). DATA SOURCES: PubMed, Embase, CINAHL, Ovid Medline, Scopus, and Web of Science were searched from inception to August 2019. REVIEW METHOD: Studies testing p...

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Detalles Bibliográficos
Autores principales: Winser, Stanley J, Kannan, Priya, Bello, Umar Muhhamad, Whitney, Susan L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6826874/
https://www.ncbi.nlm.nih.gov/pubmed/31571503
http://dx.doi.org/10.1177/0269215519877498
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author Winser, Stanley J
Kannan, Priya
Bello, Umar Muhhamad
Whitney, Susan L
author_facet Winser, Stanley J
Kannan, Priya
Bello, Umar Muhhamad
Whitney, Susan L
author_sort Winser, Stanley J
collection PubMed
description OBJECTIVE: To investigate the psychometric properties of measures of balance and falls risk prediction in people with Parkinson’s disease (PD). DATA SOURCES: PubMed, Embase, CINAHL, Ovid Medline, Scopus, and Web of Science were searched from inception to August 2019. REVIEW METHOD: Studies testing psychometric properties of measures of balance and falls risk prediction in PD were included. The four-point COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) assessed quality. RESULTS: Eighty studies testing 68 outcome measures were reviewed; 43 measures assessed balance, 9 assessed falls risk prediction, and 16 assessed both. The measures with robust psychometric estimation with acceptable properties were the (1) Mini-Balance Evaluation Systems Test (Mini-BEST), (2) Berg Balance Scale, (3) Timed Up and Go test, (4) Falls Efficacy Scale International, and (5) Activities-Specific Balance Confidence scale. These measures assess balance and falls risk prediction at the body, structure and function level, falls risk and balance, and falls risk at the activity level. The motor examination of the Unified Parkinson’s Disease Rating Scale (UPDRS-ME) with robust psychometric analysis is a condition-specific measure with acceptable properties. Except the UPDRS-ME and Mini-BESTest, the responsiveness of the other four measures has yet to be established. CONCLUSION: Six of the 68 outcome measures have strong psychometric properties for the assessment of balance and falls risk prediction in PD. Measures assessing balance and falls risk prediction at the participatory level are limited in number with a lack of psychometric validation.
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spelling pubmed-68268742019-12-04 Measures of balance and falls risk prediction in people with Parkinson’s disease: a systematic review of psychometric properties Winser, Stanley J Kannan, Priya Bello, Umar Muhhamad Whitney, Susan L Clin Rehabil Data Collection Tools OBJECTIVE: To investigate the psychometric properties of measures of balance and falls risk prediction in people with Parkinson’s disease (PD). DATA SOURCES: PubMed, Embase, CINAHL, Ovid Medline, Scopus, and Web of Science were searched from inception to August 2019. REVIEW METHOD: Studies testing psychometric properties of measures of balance and falls risk prediction in PD were included. The four-point COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) assessed quality. RESULTS: Eighty studies testing 68 outcome measures were reviewed; 43 measures assessed balance, 9 assessed falls risk prediction, and 16 assessed both. The measures with robust psychometric estimation with acceptable properties were the (1) Mini-Balance Evaluation Systems Test (Mini-BEST), (2) Berg Balance Scale, (3) Timed Up and Go test, (4) Falls Efficacy Scale International, and (5) Activities-Specific Balance Confidence scale. These measures assess balance and falls risk prediction at the body, structure and function level, falls risk and balance, and falls risk at the activity level. The motor examination of the Unified Parkinson’s Disease Rating Scale (UPDRS-ME) with robust psychometric analysis is a condition-specific measure with acceptable properties. Except the UPDRS-ME and Mini-BESTest, the responsiveness of the other four measures has yet to be established. CONCLUSION: Six of the 68 outcome measures have strong psychometric properties for the assessment of balance and falls risk prediction in PD. Measures assessing balance and falls risk prediction at the participatory level are limited in number with a lack of psychometric validation. SAGE Publications 2019-10-01 2019-12 /pmc/articles/PMC6826874/ /pubmed/31571503 http://dx.doi.org/10.1177/0269215519877498 Text en © The Author(s) 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Data Collection Tools
Winser, Stanley J
Kannan, Priya
Bello, Umar Muhhamad
Whitney, Susan L
Measures of balance and falls risk prediction in people with Parkinson’s disease: a systematic review of psychometric properties
title Measures of balance and falls risk prediction in people with Parkinson’s disease: a systematic review of psychometric properties
title_full Measures of balance and falls risk prediction in people with Parkinson’s disease: a systematic review of psychometric properties
title_fullStr Measures of balance and falls risk prediction in people with Parkinson’s disease: a systematic review of psychometric properties
title_full_unstemmed Measures of balance and falls risk prediction in people with Parkinson’s disease: a systematic review of psychometric properties
title_short Measures of balance and falls risk prediction in people with Parkinson’s disease: a systematic review of psychometric properties
title_sort measures of balance and falls risk prediction in people with parkinson’s disease: a systematic review of psychometric properties
topic Data Collection Tools
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6826874/
https://www.ncbi.nlm.nih.gov/pubmed/31571503
http://dx.doi.org/10.1177/0269215519877498
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