Data Sheet 1_Rasch-based classification of post-stroke balance ability: dimensionality and clinical validation of the BESTest and S-BESTest.docx

Known-groups validity of the proposed classifications was examined using lower extremity Fugl-Meyer Assessment (FM-LE) scores.</p>Results<p>EFA identified a three-factor solution for the BESTest and a two-factor solution for the S-BESTest. However, PCAR and disattenuated correlations demonstrated that both instruments functioned as essentially unidimensional measures of balance ability. Rasch analysis showed acceptable-to-excellent reliability and yielded clinically interpretable balance ability classifications with corresponding raw-score cutoff values.

The BESTest was classified into six balance impairment levels, ranging from very severe to very mild impairment, whereas the S-BESTest was classified into four levels, ranging from very severe to mild impairment. FM-LE scores differed significantly across all classification levels for both instruments, supporting good known-groups validity.</p>Conclusion<p>Although exploratory factor analysis identified multiple factors, the BESTest and S-BESTest functioned as essentially unidimensional measures of balance ability in individuals with stroke.

The proposed Rasch-based classifications provide clinically interpretable balance ability levels that may facilitate communication, facilitate individualized rehabilitation planning, and support clinical decision-making.</p>