The Balance Evaluation Systems Test (BESTest) to Differentiate Balance Deficits

Horak, Fay B.; Wrisley, Diane M.; Frank, James S.

doi:10.2522/ptj.20080071

Cited by 868 publications

(836 citation statements)

References 51 publications

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“…A more comprehensive balance assessment named the Balance Evaluation Systems Test (BESTest) was developed by Horak, Wrisley, and Frank (2009). It was designed to assess six subsystems of balance control (i.e., biomechanical constrains, stability limits/verticality, anticipatory postural responses, postural responses, sensory orientation, and stability in gait) (Horak et al., 2009).…”

Section: Introductionmentioning

confidence: 99%

“…It was designed to assess six subsystems of balance control (i.e., biomechanical constrains, stability limits/verticality, anticipatory postural responses, postural responses, sensory orientation, and stability in gait) (Horak et al., 2009). Despite its excellent psychometric properties in various populations (Chinsongkram et al., 2014; Horak et al., 2009; Jacobs & Kasser, 2012; Leddy, Crowner, & Earhart, 2011a), there are concerns with redundancy of items and long administration time involved (40–60 min) (Horak et al., 2009; Padgett, Jacobs, & Kasser, 2012). To address these limitations, the 14‐item Mini‐BESTest was developed (Franchignoni, Horak, Godi, Nardone, & Giordano, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Psychometric properties of Brief‐Balance Evaluation Systems Test (Brief‐BESTest) in evaluating balance performance in individuals with chronic stroke

Huang

Pang

2017

Brain and Behavior

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ObjectiveTo examine the psychometric properties of the Brief‐Balance Evaluation Systems Test (Brief‐BESTest) in individuals with chronic stroke.Materials and MethodsThis was an observational study with repeated measurements involving 50 participants with chronic stroke [mean (SD) age: 59.2 (7.3) years]. Each participant with stroke was evaluated with the Brief‐BESTest, Berg balance scale (BBS), Postural Assessment Scale for Stroke Patients (PASS), Fugl‐Meyer Motor Assessment (FMA), Chedoke‐McMaster Stroke Assessment (CMSA), Montreal Cognitive Assessment (MoCA), and Geriatric Depression Scale (GDS). Two raters (rater 1 and 2) provided the Brief‐BESTest scores of the first 27 participants independently to establish inter‐rater reliability. After 15 min of rest, the same 27 participants were evaluated with the Brief‐BESTest again by rater 1 to establish intra‐rater reliability. The Brief‐BESTest scores of the stroke group were also compared with those of the control group [n = 27, mean (SD) age: 56.7 (7.7) years].ResultsThe Brief‐BESTest had no substantial floor and ceiling effects, good intra‐rater (ICC 2,1 = 0.974) and inter‐rater (ICC 2,1 = 0.980) reliability and internal consistency (Cronbach's alpha = 0.818). The minimal detectable change at 95% confidence level was 2 points. The Brief‐BESTest showed moderate to very strong correlations with other balance (BBS and PASS) and motor impairment (FMA, CMSA) measures (r s = .547–.911, p < .001), thus revealing good concurrent and convergent validity. Its correlation with measures that evaluated other constructs was weaker (MoCA: r s = .437, p = .002) or non‐significant (GDS: r s = −0.152, p = .292), thus showing good discriminant validity. Good known‐groups validity was established, as the Brief‐BESTest was effective in distinguishing participants with stroke from controls (cutoff score: <18, area under curve: 0.942), and individuals with stroke who required assistive device for their outdoor mobility from those who did not (cutoff score <14, area under curve: 0.810).ConclusionsThe Brief‐BESTest has good reliability and validity in assessing balance function in individuals with chronic stroke.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Psychometric properties of Brief‐Balance Evaluation Systems Test (Brief‐BESTest) in evaluating balance performance in individuals with chronic stroke

Huang

Pang

2017

Brain and Behavior

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“…Partial support was gained for 1 additional framework, the "systems theory," which has sound theoretical support in the postural control literature involving adults with neurologic conditions. [18][19][20] This theory describes 7 components contributing to postural control at the body functions and structures level of the ICF. Although this theory gained support from many participants (eg, 35.1% agree, 43.2% strongly agree), with only 1 disagree rating, it did not reach consensus in the context of assessing and treating children with CP.…”

Section: Discussionmentioning

confidence: 99%

“…Literature involving children with CP lacks an explicit framework for postural control. Literature for adults with neurologic impairment has used frameworks for postural control [18][19][20] (eg, systems theory applied to postural control), but these have not been validated for children with or without CP.…”

mentioning

confidence: 99%

Perspectives on Postural Control Dysfunction to Inform Future Research: A Delphi Study for Children With Cerebral Palsy

Dewar

Claus

Tucker

et al. 2017

Archives of Physical Medicine and Rehabilitation

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Objective: To identify whether consensus can be achieved in how clinicians and researchers define, describe, assess, and treat postural control dysfunction in children with cerebral palsy (CP). Design: Delphi study with 3 iterative rounds. Setting: Electronic survey. Participants: Researchers and/or clinicians (NZ43) from 7 countries with a mean AE SD of 20AE11 years of experience working with children with CP participated. Participants included authors of published works on postural control in CP (identified from a recent systematic review

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“…The BESTest consists of 36 items, grouped into 6 systems underlining balance control, as represented on Figure A.8 [29,112].…”

Section: A24 Balance Evaluation Systems Test (Bestest)mentioning

confidence: 99%

Phone Based Fall Risk Prediction

Guimar�ães

Teixeira

Monteiro

et al. 2012

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Falls in older people can represent serious individual and socioeconomic problems. With the increasing number of older people in the population, management of falls is becoming a challenge.It is now recognized that several risk factors for falling can be identified, and specific interventions can be designed in order to reduce those risks. Several tools were then developed and are now available to screen for fall risk. However, these tools are applied with low frequency, usually requiring the use of expensive equipments that can only be manipulated by experts. This poses some constraints on the prevention of falls, since when these techniques are applied, it can be too late.In order to improve the earlier detection of risks and the application of fall prevention strategies, new community based solutions must be developed. In this project, the mobile phone was purposed as a potential instrument to perform fall risk screening. Several strategies were then evaluated to be adapted to the phone for fall risk screening purposes.Phone's inertial sensors were used to extract some parameters of gait that were related with an increased risk of falling. Foot contacts, gait phases, step length, step duration, walking velocity and variability parameters could then be determined from sensors data. Acceptable measures of step length and walking velocity could be obtained. Additionally, other risk factors were selected to be assessed by self-report, using some clinical scales/questionnaires.Results suggest that phone can be used as a major strategy to improve fall prevention, being a great value for older persons and society.i ii ResumoUma queda num idoso pode resultar em graves problemas individuais e socioeconómicos. Com o aumento do número de idosos na população, a gestão de quedas está a tornar-se um desafio.Actualmente, é possível identificar vários factores de risco para a ocorrência de quedas bem como reduzir esses riscos, através da aplicação da aplicação de intervenções especí-ficas. Nesse sentido, há já algumas ferramentas actualmente disponíveis para avaliar o risco de queda. Estas ferramentas no entanto usadas com baixa frequência, exigindo o uso de equipamentos caros que apenas podem ser manipulados por pessoas qualificadas. Muitas vezes, estas técnicas podem já ser aplicadas tarde demais.Para que a detecção dos riscos e a aplicação de estratégias de prevenção de quedas possa ser feita mais precocemente, é necessário o desenvolvimento de novas soluções dirigidas à população. Neste projecto, foi proposto o uso do telemóvel para a detecção do risco de queda nos idosos.Os sinais dos sensores do telemóvel foram utilizados para extrair parâmetros da marcha relacionados com um risco de queda aumentado. A partir deles, os contactos do pé com o chão, as fases da marcha, o tamanho e duração dos passos, a velocidade e parâmetros que quantificam a variabilidade da marcha puderam ser determinados. Medidas aceitáveis do tamanho dos passos e da velocidade foram obtidas. Adicionalmente, outros factores de risco foram sele...

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The Balance Evaluation Systems Test (BESTest) to Differentiate Balance Deficits

Cited by 868 publications

References 51 publications

Psychometric properties of Brief‐Balance Evaluation Systems Test (Brief‐BESTest) in evaluating balance performance in individuals with chronic stroke

Psychometric properties of Brief‐Balance Evaluation Systems Test (Brief‐BESTest) in evaluating balance performance in individuals with chronic stroke

Perspectives on Postural Control Dysfunction to Inform Future Research: A Delphi Study for Children With Cerebral Palsy

Phone Based Fall Risk Prediction

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