TY  - JOUR
PY  - 2018//
TI  - Dimensionality and scaling properties of the Patient Categorisation Tool in patients with complex rehabilitation needs following acquired brain injury
JO  - Journal of rehabilitation medicine
A1  - Siegert, Richard J.
A1  - Medvedev, Oleg
A1  - Turner-Stokes, Lynne
SP  - 435
EP  - 443
VL  - 50
IS  - 5
N2  - OBJECTIVE: To investigate the scaling properties of the Patient Categorisation Tool (PCAT) as an instrument to measure complexity of rehabilitation needs. <br><br>DESIGN: Psychometric analysis in a multicentre cohort from the UK national clinical database. PATIENTS: A total of 8,222 patents admitted for specialist inpatient rehabilitation following acquired brain injury. <br><br>METHODS: Dimensionality was explored using principal components analysis with Varimax rotation, followed by Rasch analysis on a random sample of n = 500. <br><br>RESULTS: Principal components analysis identified 3 components explaining 50% of variance. The partial credit Rasch model was applied for the 17-item PCAT scale using a "super-items" methodology based on the principal components analysis results. Two out of 5 initially created super-items displayed signs of local dependency, which significantly affected the estimates. They were combined into a single super-item resulting in satisfactory model fit and unidimensionality. Differential item functioning (DIF) of 2 super-items was addressed by splitting between age groups (< 65 and ≥ 65 years) to produce the best model fit (χ2/df = 54.72, p = 0.235) and reliability (Person Separation Index (PSI) = 0.79). Ordinal-to-interval conversion tables were produced. <br><br>CONCLUSION: The PCAT has satisfied expectations of the unidimensional Rasch model in the current sample after minor modifications, and demonstrated acceptable reliability for individual assessment of rehabilitation complexity.<p />  <p>Language: en</p>
LA  - en
SN  - 1650-1977
UR  - http://dx.doi.org/10.2340/16501977-2327
ID  - ref1
ER  -