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The validity of patient- and clinician-rated measures of needs and the therapeutic relationship in psychosis: A pooled analysis
Authors:Ulrich Reininghaus  Rosemarie McCabe  Mike Slade  Tom Burns  Tim Croudace  Stefan Priebe
Affiliation:1. King''s College London, Institute of Psychiatry, De Crespigny Park, London SE5 8AF, UK;2. Department of Psychiatry, University of Cambridge, Addenbrooke''s Hospital, Cambridge CB2 2QQ, UK;3. Queen Mary University of London, Unit for Social and Community Psychiatry, Barts and the London School of Medicine, London E13 8SP, UK;4. Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
Abstract:Measuring outcomes of treatments for psychosis such as needs and the quality of the therapeutic relationship is important in research and routine care. However, evidence on the validity of existing outcome measures is limited. We aimed to test the convergent, discriminant, and predictive validity of two widely used patient- and clinician-rated measures of needs and the therapeutic relationship. Multitrait-multimethod (MTMM) analysis was conducted on the Camberwell Assessment of Need Short Appraisal Schedule (CANSAS) and the Helping Alliance Scale (HAS), both the clinician (CANSAS-C, HAS-C) and patient (CANSAS-P, HAS-P) versions, in a pooled sample of 605 psychotic patients and their clinicians. CANSAS-C and CANSAS-P items loaded substantially into one common unmet needs factor. By comparison, substantial factor loadings were found for HAS-C and HAS-P items on two separate clinician- and patient-rated therapeutic relationship factors. Common unmet needs and clinician-rated therapeutic relationship factors significantly predicted reduced psychiatric in-patient days. Our findings support the convergent validity of the CANSAS, discriminant validity of the HAS, and predictive validity of CANSAS and HAS-C. The findings may inform the use of CANSAS and HAS as psychosis outcome measures in research and routine care.
Keywords:Outcome assessment   Convergent validity   Discriminant validity   Multitrait-multimethod validation   Patient-reported outcomes
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