Literature DB >> 31762543

Reliability, Validity, and Responsiveness of the Mini-Balance Evaluation Systems Test in Ambulatory Individuals with Multiple Sclerosis.

Kirsten Potter1, Rachel Bowling1, Lindsey Kavanagh1, Ashley Stone1, Brittany Witt1, Ashley Wooldridge1.   

Abstract

Purpose: The purpose of this study was to determine the reliability, validity, and responsiveness of the Mini-Balance Evaluation Systems Test (MBT) in persons with multiple sclerosis (pwMS). Method: A total of 32 pwMS completed a questionnaire on disease severity, the Activities-specific Balance Confidence Scale (ABC), and the MBT. The MBT was re-administered 1 week later.
Results: The interrater and test-retest reliability of the total MBT and subscales were excellent. The standard error of measurement for the total MBT, calculated from test-retest and interrater reliability, respectively, was 1.32 and 1.07. The minimal detectable change (MDC) for the total MBT was 3.74; the MDC for the subscales ranged from 0.98 (sensory) to 2.38 (gait). The correlations between individual subscale scores and the total MBT, among subscales, and between the total MBT and disease severity and ABC were excellent. Correlations between the total MBT and age, MS type, and fall and imbalance histories were moderate. Disease severity and ABC scores were the strongest predictors of MBT score. No floor effects were found. Ceiling effects were found for two subscales, but not for the total MBT. Conclusions: The MBT is reliable and valid in pwMS. MDC values will facilitate assessing the effectiveness of treatment. Because ceiling effects were found for two subscales, but not the total MBT, it is recommended that clinicians administer the MBT in its entirety. © Canadian Physiotherapy Association.

Entities:  

Keywords:  multiple sclerosis; outcome assessment; postural balance; reproducibility of results.

Year:  2019        PMID: 31762543      PMCID: PMC6855353          DOI: 10.3138/ptc-2018-0071

Source DB:  PubMed          Journal:  Physiother Can        ISSN: 0300-0508            Impact factor:   1.037


  43 in total

1.  Balance impairment in people with multiple sclerosis: preliminary evidence for the Balance Evaluation Systems Test.

Authors:  Jesse V Jacobs; Susan L Kasser
Journal:  Gait Posture       Date:  2012-04-22       Impact factor: 2.840

2.  Cohort Study Comparing the Berg Balance Scale and the Mini-BESTest in People Who Have Multiple Sclerosis and Are Ambulatory.

Authors:  Elaine Ross; Helen Purtill; Marcin Uszynski; Sara Hayes; Blathin Casey; Catherine Browne; Susan Coote
Journal:  Phys Ther       Date:  2016-02-25

3.  Comparing the Fullerton Advanced Balance Scale with the Mini-BESTest and Berg Balance Scale to assess postural control in patients with Parkinson disease.

Authors:  Christian Schlenstedt; Stephanie Brombacher; Gesa Hartwigsen; Burkhard Weisser; Bettina Möller; Günther Deuschl
Journal:  Arch Phys Med Rehabil       Date:  2014-09-28       Impact factor: 3.966

4.  Investigating the Mini-BESTest's construct validity in elderly with Parkinson's disease.

Authors:  N Löfgren; M Benka Wallén; K Sorjonen; D Conradsson; E Franzén
Journal:  Acta Neurol Scand       Date:  2016-07-14       Impact factor: 3.209

5.  Risk factors for falling among people aged 45 to 90 years with multiple sclerosis.

Authors:  Marcia L Finlayson; Elizabeth W Peterson; Chi C Cho
Journal:  Arch Phys Med Rehabil       Date:  2006-09       Impact factor: 3.966

6.  A Core Set of Outcome Measures for Adults With Neurologic Conditions Undergoing Rehabilitation: A CLINICAL PRACTICE GUIDELINE.

Authors:  Jennifer L Moore; Kirsten Potter; Kathleen Blankshain; Sandra L Kaplan; Linda C OʼDwyer; Jane E Sullivan
Journal:  J Neurol Phys Ther       Date:  2018-07       Impact factor: 3.649

7.  Fall attributions among middle-aged and older adults with multiple sclerosis.

Authors:  Elizabeth W Peterson; Eynat Ben Ari; Miho Asano; Marcia L Finlayson
Journal:  Arch Phys Med Rehabil       Date:  2012-11-28       Impact factor: 3.966

8.  Falls in frequent neurological diseases--prevalence, risk factors and aetiology.

Authors:  Henning Stolze; Stephan Klebe; Christiane Zechlin; Christoph Baecker; Lars Friege; Günther Deuschl
Journal:  J Neurol       Date:  2004-01       Impact factor: 4.849

9.  Falls in people with multiple sclerosis compared with falls in healthy controls.

Authors:  Rajarshi Mazumder; Charles Murchison; Dennis Bourdette; Michelle Cameron
Journal:  PLoS One       Date:  2014-09-25       Impact factor: 3.240

10.  Should One Measure Balance or Gait to Best Predict Falls among People with Parkinson Disease?

Authors:  Ryan P Duncan; Gammon M Earhart
Journal:  Parkinsons Dis       Date:  2012-10-31
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