Insights Into the Mini-BESTest Scoring System: Comparison of 6 Different Structural Models

Phys Ther. 2021 Oct 1;101(10):pzab180. doi: 10.1093/ptj/pzab180.

Abstract

Objective: The Mini-Balance Evaluation Systems Test (Mini-BESTest) is a balance scale common to clinical practice, but different scoring has been proposed, that is, total score and/or subsections. This study aimed to investigate Mini-BESTest validity by comparing 6 structural models and to establish the best model for discriminating fallers from nonfallers, that is, those who did or did not report at least 2 falls in the 6 months before evaluation.

Methods: In this cross-sectional validation study, data from 709 individuals with idiopathic Parkinson disease (Hoehn and Yahr stages 1-3) were analyzed. Individuals were evaluated with the Mini-BESTest, and fall history was recorded. Construct, convergent, and discriminant validity and reliability of the 6 models were analyzed. The ability of the models to adequately identify individuals with or without a history of falls was tested with receiving operating characteristic curves.

Results: Confirmatory factor analysis showed that the unidimensional models and the 4-factor solutions showed the best fit indexes. Conversely, second-order models, which allowed reporting of both total and subsections, did not converge. Most models and factors showed a low convergent validity (average variance extracted values <0.5). Correlations among the anticipatory postural adjustments factor with both the sensory orientation and the dynamic gait factors of multidimensional models were high (r ≥ 0.85). Unidimensional model reliability was good, whereas low values were found in one-half of the subsections. Finally, both unidimensional models showed a large area under the receiving operating characteristic curve (0.81).

Conclusion: The original unidimensional Mini-BESTest model-with a total score of 28-showed the highest validity and reliability and was best at discriminating fallers from nonfallers. Conversely, its 4 subsections should not be reported separately, because they were highly correlated and had low reliability; therefore, they are not actually capable of measuring different aspects of balance.

Impact: This study shows that the Mini-BESTest should be used only with the original unidimensional scoring system in people with Parkinson disease.

Keywords: Accidental Falls; Balance; Outcome Measures; Parkinson Disease; ROC Curve.

MeSH terms

  • Accidental Falls / prevention & control*
  • Accidental Falls / statistics & numerical data*
  • Adult
  • Aged
  • Aged, 80 and over
  • Cross-Sectional Studies
  • Disability Evaluation
  • Female
  • Gait Disorders, Neurologic / diagnosis*
  • Gait Disorders, Neurologic / etiology
  • Humans
  • Male
  • Middle Aged
  • Models, Structural*
  • Parkinson Disease / complications
  • Parkinson Disease / physiopathology*
  • Physical Therapy Modalities
  • Postural Balance*
  • Predictive Value of Tests
  • Psychometrics
  • ROC Curve
  • Reproducibility of Results
  • Risk Assessment / methods
  • Sensitivity and Specificity