Psychometric Properties of the Mini-Balance Evaluation Systems Test (Mini-BESTest) in Community-Dwelling Individuals With Chronic Stroke

Author:

Tsang Charlotte S.L.1,Liao Lin-Rong2,Chung Raymond C.K.3,Pang Marco Y.C.4

Affiliation:

1. C.S.L. Tsang, MSc, Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hung Hom, Hong Kong.

2. L-R. Liao, MPT, Department of Rehabilitation Sciences, Hong Kong Polytechnic University, and Department of Physiotherapy, Guangdong Provincial Work Injury Rehabilitation Hospital, Guangzhou, China.

3. R.C.K. Chung, PhD, Department of Rehabilitation Sciences, Hong Kong Polytechnic University.

4. M.Y.C. Pang, PhD, Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hung Hom, Hong Kong.

Abstract

BackgroundThe Mini-Balance Evaluation Systems Test (Mini-BESTest) is a new balance assessment, but its psychometric properties have not been specifically tested in individuals with stroke.ObjectivesThe purpose of this study was to examine the reliability and validity of the Mini-BESTest and its accuracy in categorizing people with stroke based on fall history.DesignAn observational measurement study with a test-retest design was conducted.MethodsOne hundred six people with chronic stroke were recruited. Intrarater reliability was evaluated by repeating the Mini-BESTest within 10 days by the same rater. The Mini-BESTest was administered by 2 independent raters to establish interrater reliability. Validity was assessed by correlating Mini-BESTest scores with scores of other balance measures (Berg Balance Scale, one-leg-standing, Functional Reach Test, and Timed “Up & Go” Test) in the stroke group and by comparing Mini-BESTest scores between the stroke group and 48 control participants, and between fallers (≥1 falls in the previous 12 months, n=25) and nonfallers (n=81) in the stroke group.ResultsThe Mini-BESTest had excellent internal consistency (Cronbach alpha=.89–.94), intrarater reliability (intraclass correlation coefficient [3,1]=.97), and interrater reliability (intraclass correlation coefficient [2,1]=.96). The minimal detectable change at 95% confidence interval was 3.0 points. The Mini-BESTest was strongly correlated with other balance measures. Significant differences in Mini-BESTest total scores were found between the stroke and control groups and between fallers and nonfallers in the stroke group. In terms of floor and ceiling effects, the Mini-BESTest was significantly less skewed than other balance measures, except for one-leg-standing on the nonparetic side. The Berg Balance Scale showed significantly better ability to identify fallers (positive likelihood ratio=2.6) than the Mini-BESTest (positive likelihood ratio=1.8).LimitationsThe results are generalizable only to people with mild to moderate chronic stroke.ConclusionsThe Mini-BESTest is a reliable and valid tool for evaluating balance in people with chronic stroke.

Publisher

Oxford University Press (OUP)

Subject

Physical Therapy, Sports Therapy and Rehabilitation

Reference62 articles.

1. The global burden of disease: 2004 update. World Health Organization Health Statistics and Information website. Available at: http://www.who.int/healthinfo/global_burden_disease/2004_report_update/en/index.html. Accessed January 10, 2012.

2. Recovery of standing balance in postacute stroke patients: a rehabilitation cohort study;de Haart;Arch Phys Med Rehabil,2004

3. Quantitative analysis of static sitting posture in chronic stroke;Perlmutter;Gait Posture,2010

4. Relationship between ambulatory capacity and cardiorespiratory fitness in chronic stroke: influence of stroke-specific impairments;Pang;Chest,2005

5. Disruption of sitting balance after stroke: influence of spoken output;Harley;J Neurol Neurosurg Psychiatry,2006

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3