Which Balance Evaluation Systems Test sections best distinguish levels of post-stroke functional walking status?
DOI:
https://doi.org/10.2340/16501977-2870Keywords:
stroke, walking speed, postural balance, BESTestAbstract
Objective: To determine which sections of the Balance Evaluation Systems Test (BESTest) distinguish levels of post-stroke functional walking status and to establish their cut-off scores.
Design: A retrospective cross-sectional study.
Subjects and methods: The BESTest was administered to 87 stroke patients who were able to walk without physical assistance upon discharge from the hospital. Subjects were divided into 3 functional walking status groups: namely, household ambulators, limited community ambulators, and unlimit-ed community ambulators. The receiver operating characteristic curve was determined and the cut-off score and area under the receiver operating characteristic curve (AUROC) of each section calculated.
Results: In the comparison of household and limit-ed community ambulators, the accuracies of all BESTest sections were moderate (AUROC>0.7), and the cut-off scores were 36.1–78.6%. In the comparison of limited and unlimited community ambulators, one section (stability in gait) had high accuracy (AUROC=0.908, cut-off scores=73.8%) and 3 sections (biomechanical constraints, anticipatory postural adjustments, and postural response) had moderate accuracy (AUROC=0.812–0.834, cut-off
scores=75.0–83.4%).
Conclusion: This study demonstrated that different sections of the BESTest had different abilities to discriminate levels of post-stroke functional walking status, and identified cut-off values for targeted improvement.
Lay Abstract
The Balance Evaluation Systems Test (BESTest), a clinical postural control measure, categorizes postural control systems in 6 different sections. This study investigated which sections of the BESTest distinguish levels of post-stroke functional walking status, which, in turn, is based on walking speed. Among the slower walkers, all sections of the BESTest showed moderate relationships to cate-gories of walking status. Among the faster walkers, 4 sections showed moderate to strong relationships and 2 sections showed weak relationships. This study may have clinical implications for rehabilitation aimed at improving functional walking status in individuals with stroke. These findings will help rehabilitation professionals assess postural control in relation to stroke patients’ ability to walk in different settings (e.g. their household or the community) and determine which postural control systems should be prioritized in therapeutic interventions.
Downloads
References
Jørgensen HS, Nakayama H, Raaschou HO, Olsen TS. Recovery of walking function in stroke patients: The Copenhagen Stroke Study. Arch Phys Med Rehabil 1995; 76: 27–32.
Lord SE, McPherson K, McNaughton HK, Rochester L, Weatherall M. Community ambulation after stroke: how important and obtainable is it and what measures appear predictive? Arch Phys Med Rehabil 2004; 85: 234–239.
Fulk GD, Echternach JL. Test-retest reliability and minimal detectable change of gait speed in individuals undergoing rehabilitation after stroke. J Neurol Phys Ther 2008; 32: 8–13.
Perry J, Garrett M, Gronley JK, Mulroy SJ. Classification of walking handicap in the stroke population. Stroke 1995; 26: 982–989.
Fulk GD, He Y, Boyne P, Dunning K. Predicting home and community walking activity poststroke. Stroke 2017; 48: 406–411.
Horak FB. Postural orientation and equilibrium: what do we need to know about neural control of balance to prevent falls? Age Ageing 2006; 35: ii7–ii11.
Hendrickson J, Patterson KK, Inness EL, Mcllroy WE, Mansfield A. Relationship between asymmetry of quiet standing balance control and walking post-stroke. Gait Posture 2014; 39: 177–181.
Lewek MD, Bradley CE, Wutzke CJ, Zinder SM. The relationship between spatiotemporal gait asymmetry and balance in individuals with chronic stroke. J Appl Biomech 2014; 30: 31–36.
Nardone A, Godi M, Grasso M, Guglielmetti S, Schieppati M. Stabilometry is a predictor of gait performance in chronic hemiparetic stroke patients. Gait Posture 2009; 30: 5–10.
Veerbeek JM, van Wegen E, van Peppen R, Wees PJVD, Hendriks E, Rietberg M, et al. What is the evidence for physical therapy poststroke? A systematic review and meta-analysis. PLoS One 2014; 9: e87987.
Horak FB, Wrisley DM, Frank J. The Balance Evaluation Systems Test (BESTest) to differentiate balance deficits. Phys Ther 2009; 89: 484–498.
Sahin IE, Gucle-Gundez A, Yazivi G, Ozkul C, Volkan-Yazici M, Nazliel B, et al. The sensitivity and specificity of the Balance Evaluation Systems test-BESTest in determining risk of fall in stroke patients. NeuroRehabilitation 2019; 44: 67–77.
Chauvin S, Kirkwood R, Brooks R, Goldstein RS, Beauchamp MK. Which balance subcomponents distinguish between fallers and non-fallers in people with COPD? Int J Chron Obstruct Pulmon Dis 2020; 15: 1557–1564.
Miyata K, Hasegawa S, Iwamoto H, Shinohara T, Usuda S. Section of the Balance Evaluation Systems Test (BESTest) cutoff values for walking speed level in older women with hip fracture. J Geriatr Phys Ther 2021; 44: 153–158.
World Medical Association. World Medical Association declaration of Helsinki. JAMA 2013; 310: 2191–2194.
Holden MK, Gill KM, Magliozzi MR, Nathan J, Piehl-Baker L. Clinical gait assessment in the neurologically impaired. Reliability and meaningfulness. Phys Ther 1984; 64: 35–40.
Imai Y and Hasegawa K. The Revised Hasegawa’s Dementia Scale (HDS-R) - Evaluation of its usefulness as a screening test for dementia. J Hong Kong Coll Psychiatr 1994; 4: 20–24.
Miyai I, Sonoda S, Nagai S, Takayama Y, Inoue Y, Kakehi A, et al. Results of new policies for inpatient rehabilitation coverage in Japan. Neurorehabil Neural Repair 2011; 25: 540–547.
Brunnstrom S. Motor testing procedures in hemiplegia: based on sequential recovery stages. Phys Ther 1966; 46: 357–375.
Gowland C, Stratford P, Ward M, Moreland J, Torresin W, Van Hullenaar S, et al. Measuring physical impairment and disability with the Chedoke-McMaster stroke assessment. Stroke 1993; 24: 58–63.
Flansbjer UB, Holmbäck AM, Downham D, Patten C, Lexell J. Reliability of gait performance tests in men and women with hemiparesis after stroke. J Rehabil Med 2005; 37: 75–82.
Chinsongkram B, Chaikeeree N, Saengsirisuwan V, Viriyatharakij N, Horak FB, Boonsinsukh R. Reliability and validity of the Balance Evaluation Systems Test (BESTest) in people with subacute stroke. Phys Ther 2014; 94: 1632–1643.
Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd edn. Hillsdale, NJ: Lawrence Erlbaum Associates; 1988.
Sherrington C, Lord SR, Close JCT, Barraclough E, Taylor M, Rourke SO, et al. Development of a tool for prediction of falls in rehabilitation settings (Predict_FIRST): a prospective cohort study. J Rehabil Med 2010; 42: 482–488.
Akobeng AK. Understanding diagnostic tests 3: Receiver operating characteristic curve. Acta Paediatr 2007; 96: 644–647.
Miyata K, Kaizu Y, Usuda S. Prediction of falling risk after discharge in ambulatory stroke or history of fracture patients using Balance Evaluation Systems Test (BESTest). J Phys Ther Sci 2018; 30: 514–519.
Shinohara T, Saida K, Miyata K, Usuda S. Sections of the Brief-Balance Evaluation Systems Test relevant for discriminating fast versus slow walking speeds in community-dwelling older women. J Geriat Phys Ther 2020 [Epub ahead of print].
Yingyongyudha A, Saengsirisuwan V, Panichaporn W, Boonsinsukh R. The Mini-Balance Evaluation Systems Test (Mini-BESTest) demonstrates higher accuracy in identifying older adult participants with history of falls than do the BESTest, Berg Balance Scale, or timed up and go test. J Geriatr Phys Ther 2016; 39: 64–70.
Smulders K, van Swigchem R, de Swart BJ, Geurts ACH, Weerdesteyn V. Community-dwelling people with chronic stroke need disproportionate attention while walking and negotiating obstacles. Gait Posture 2012; 36: 127–132.
Beauchet O, Dubost V, Allali G, Gonthier R, Hermann FR, Kressing RW. Faster counting while walking as a predictor of falls in older adults. Age Ageing 2007; 36: 418–423.
Shumway-Cook A, Woollacott MH. Motor control: translation research into clinical practice, 5th edition. Philadelphia: Wolters Kluwer; 2016.
Wist S, Clivaz J, Sattelmayer M. Muscle strengthening for hemiparesis after stroke: a meta-analysis. Ann Phys Rehabil Med 2016; 59: 114–124.
Do MC, Bussel B, Breniere Y. Influence of plantar cutaneous afferents on early compensatory reactions to forward fall. Exp Brain Res 1990; 79: 319–324.
Anacker SL, Di Fabio RP. Influence of sensory inputs on standing balance in community-dwelling elders with a recent history of falling. Phys Ther 1992; 72: 575–581.
Aslan UB, Cavlak U, Yagci N, Akdag B. Balance performance, aging and falling: a comparative study based on a Turkish sample. Arch Gerontol Geriatr 2008; 46: 283–292.
Riis J, Eika F, Blomkvist AW, Rahbek MT, Eikhof KD, Hansen MD, et al. Lifespan data on postural balance in multiple standing positions. Gait Posture 2020; 76: 68–73.
Published
How to Cite
License
Copyright (c) 2021 Kazuhiro Miyata, Satoshi Hasegawa, Hiroki Iwamoto, Tomohiro Otani, Yoichi Kaizu, Tomoyuki Shinohara, Shigeru Usuda
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All digitalized JRM contents is available freely online. The Foundation for Rehabilitation Medicine owns the copyright for all material published until volume 40 (2008), as from volume 41 (2009) authors retain copyright to their work and as from volume 49 (2017) the journal has been published Open Access, under CC-BY-NC licences (unless otherwise specified). The CC-BY-NC licenses allow third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material for non-commercial purposes, provided proper attribution to the original work.
From 2024, articles are published under the CC-BY licence. This license permits sharing, adapting, and using the material for any purpose, including commercial use, with the condition of providing full attribution to the original publication.