REVIEW ARTICLE (META-ANALYSIS)Psychometric Properties of Brief-Balance Evaluation Systems Test Among Multiple Populations: A Systematic Review and Meta-analysis
Section snippets
Methods
This review protocol has been registered at PROSPERO (CRD42018107961). We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses to guide the reporting of the current review.22
Results
Of 138 identified citations, 39 were duplicates (fig 1). Twenty-four articles, with 19 English, 1 Chinese, 3 Japanese, and 1 Persian articles, from 13 populations were included. Those populations included patients with TKA (n=4),13,20,32,33 stroke (n=4),15,19,34,35 various neurologic diseases other than stroke (n=3),12,36,37 and chronic obstructive pulmonary disease (COPD) (n=3),38, 39, 40 as well as community-dwelling older people (n=3)10,41,42 (table 1). The remaining populations were
Discussion
To our knowledge, this is the first systematic review to summarize evidence regarding various psychometric properties of the Brief-BESTest used in assessing postural controls across 13 different populations. The Brief-BESTest displayed moderate to strong positive evidence for criterion validity and construct validity for postural control assessments. However, there was strong negative evidence for structural validity of this scale when accessing postural control capacity in patients with
Conclusions
The Brief-BESTest is a valid (concurrent-related, convergent-related, and known-group-related) scale for measuring the postural control capacity in different populations. However, the internal structure and uniqueness of the Brief-BESTest for assessing multiple dimensions of postural control may be improved by modifying item 1. Future research should determine the reliability of individual items, MCIDs, and responsiveness of the Brief-BESTest in different populations to guide its use in
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Acknowledgments
We thank Loretta Chan, BA, for helping in the assessment of the methodology and quality of statistical findings of the Brief-BESTest. We thank Junichi Tajino, PhD, and Peyman Asad, PhD, for screening and extracting data from Japanese and Persian articles in the current review, respectively.
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Cited by (0)
Supported by The Hong Kong Polytechnic University Start-up fund (grant no. 1-ZE4G).
Disclosures: none.