{"title":"Measurement Properties of the BESTest Scale in People With Neurological Conditions: A Systematic Review With Meta-Analysis.","authors":"Ilaria Arcolin, Marica Giardini, Federica Tagliabue, Valeria Belluscio, Fay Horak, Marco Godi","doi":"10.1093/ptj/pzae178","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>People with neurological conditions (PwNC) frequently fall, mainly due to balance impairments. Among the scales assessing balance, the Balance Evaluation System Test (BESTest) is one of the most comprehensive in evaluating all components of postural control. This study aimed to systematically review and summarize the measurement properties of the BESTest in PwNC.</p><p><strong>Methods: </strong>Embase, MEDLINE, ScienceDirect, Scopus, and PEDro were searched up to December 2023. Studies assessing at least 1 BESTest measurement property in PwNC were included. Methodological quality of studies was assessed with the COSMIN Risk of Bias checklist. Overall rating and level of evidence for each property were given according to COSMIN criteria. Where possible, meta-analysis was performed.</p><p><strong>Results: </strong>Thirty-six studies (1749 PwNC) were included. The BESTest demonstrated a high quality of evidence supporting good reliability (intraclass correlation coefficients = 0.96-0.98 for total score, and 0.70-0.98 for subsections), internal consistency, and measurement error. High quality levels of responsiveness, and content and construct validity were also found. However, evidence for structural validity was insufficient to be sure the BESTest actually tests several, or 1, balance constructs. Criterion validity cannot be evaluated. While translated into different languages, cross-cultural validity has never been assessed in PwNC. Evidence to support use of the BESTest for specific neurological conditions is limited to Parkinson disease and stroke, due to the small sample sizes and number of studies in other populations.</p><p><strong>Conclusion: </strong>This systematic review provided high quality evidence supporting the reliability, content and construct validity, and responsiveness of the BESTest to intervention, being able to detect balance changes and to differentiate heterogeneous PwNC based on fall history, falling risk, and physical performance. However, low-quality evidence was found when considering each neurological condition alone. To comprehensively understand the BESTest measurement properties, future studies are needed with larger samples for each neurological condition, especially assessing cross-cultural and structural validity.</p><p><strong>Impact: </strong>Assessing balance is crucial for fall risk prevention. The BESTest has been demonstrated to be a reliable, responsive, and valid scale usable in clinical setting for assessing balance in PwNC.</p>","PeriodicalId":20093,"journal":{"name":"Physical Therapy","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ptj/pzae178","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
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Abstract
Objective: People with neurological conditions (PwNC) frequently fall, mainly due to balance impairments. Among the scales assessing balance, the Balance Evaluation System Test (BESTest) is one of the most comprehensive in evaluating all components of postural control. This study aimed to systematically review and summarize the measurement properties of the BESTest in PwNC.
Methods: Embase, MEDLINE, ScienceDirect, Scopus, and PEDro were searched up to December 2023. Studies assessing at least 1 BESTest measurement property in PwNC were included. Methodological quality of studies was assessed with the COSMIN Risk of Bias checklist. Overall rating and level of evidence for each property were given according to COSMIN criteria. Where possible, meta-analysis was performed.
Results: Thirty-six studies (1749 PwNC) were included. The BESTest demonstrated a high quality of evidence supporting good reliability (intraclass correlation coefficients = 0.96-0.98 for total score, and 0.70-0.98 for subsections), internal consistency, and measurement error. High quality levels of responsiveness, and content and construct validity were also found. However, evidence for structural validity was insufficient to be sure the BESTest actually tests several, or 1, balance constructs. Criterion validity cannot be evaluated. While translated into different languages, cross-cultural validity has never been assessed in PwNC. Evidence to support use of the BESTest for specific neurological conditions is limited to Parkinson disease and stroke, due to the small sample sizes and number of studies in other populations.
Conclusion: This systematic review provided high quality evidence supporting the reliability, content and construct validity, and responsiveness of the BESTest to intervention, being able to detect balance changes and to differentiate heterogeneous PwNC based on fall history, falling risk, and physical performance. However, low-quality evidence was found when considering each neurological condition alone. To comprehensively understand the BESTest measurement properties, future studies are needed with larger samples for each neurological condition, especially assessing cross-cultural and structural validity.
Impact: Assessing balance is crucial for fall risk prevention. The BESTest has been demonstrated to be a reliable, responsive, and valid scale usable in clinical setting for assessing balance in PwNC.
期刊介绍：
Physical Therapy (PTJ) engages and inspires an international readership on topics related to physical therapy. As the leading international journal for research in physical therapy and related fields, PTJ publishes innovative and highly relevant content for both clinicians and scientists and uses a variety of interactive approaches to communicate that content, with the expressed purpose of improving patient care. PTJ"s circulation in 2008 is more than 72,000. Its 2007 impact factor was 2.152. The mean time from submission to first decision is 58 days. Time from acceptance to publication online is less than or equal to 3 months and from acceptance to publication in print is less than or equal to 5 months.
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