The patient categorisation tool: psychometric evaluation of a tool to measure complexity of needs for rehabilitation in a large multicentre dataset from the United Kingdom
Creators: name: Turner-Stokes, Lynne
name: Krägeloh, Christian U.
name: Siegert, Richard J.
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Space Science
subject: Cell Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: FOS: Biological sciences
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: FOS: Health sciences

description: <b>Purpose:</b> This first psychometric evaluation of the Patient Categorisation Tool examined its properties as an instrument to measure complexity of needs in a mixed population of patients presenting for specialist neurorehabilitation. <b>Materials/methods:</b> Analysis of a large multicentre cohort of patients (<i>n</i> = 5396) from the national clinical dataset representing 63 specialist rehabilitation services across England. Structural validity was examined using exploratory and confirmatory factor analysis. Concurrent and criterion-validity were tested through <i>a priori</i> hypothesized relationships with other validated measures of resource requirements and dependency. <b>Results</b>: All but two items loaded strongly onto a single principal component with Cronbach’s alpha 0.88. A total score of ≥30 identified patients with complex (category A) needs with sensitivity 76% and specificity 75%. However, confirmatory factor analysis provided a better fit when the scale was split into two subscales – a 'Cognitive/psychosocial' and a 'Physical' sub-scale (alpha 0.83 and 0.84, respectively). Moderate convergent and discriminant correlations were consistent with hypothesized relationships. <b>Conclusions:</b> The findings provide some overall support for the Patient Categorisation Tool as a unidimensional tool for measuring complexity of needs for neurorehabilitation, but the subscales may be more suitable for certain groups of patients. Further analysis is now required to evaluate its performance in different conditions.Implications for RehabilitationA psychometrically robust tool for measuring the complexity of rehabilitation needs has potential value, both at an individual level for treatment planning, and at a population level for planning and commissioning rehabilitation services.The Patient Categorisation Tool now forms part of the United Kingdom national clinical dataset mandated by the National Health Service in EnglandThis psychometric analysis from a large national multicentre cohort representing a diverse range of conditions, provides evidence for its validity as a means to identity patients with complex rehabilitation needs requiring specialist rehabilitation. A psychometrically robust tool for measuring the complexity of rehabilitation needs has potential value, both at an individual level for treatment planning, and at a population level for planning and commissioning rehabilitation services. The Patient Categorisation Tool now forms part of the United Kingdom national clinical dataset mandated by the National Health Service in England This psychometric analysis from a large national multicentre cohort representing a diverse range of conditions, provides evidence for its validity as a means to identity patients with complex rehabilitation needs requiring specialist rehabilitation.