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Measuring the Burden of Schizophrenia Using Clinician and Patient-Reported Measures: An Exploratory Analysis of Construct Validity

Matthew Franklin (), Clara Mukuria, Brendan Mulhern, Irwin Tran, John Brazier and Stuart Watson
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Matthew Franklin: Health Economics and Decision Science (HEDS), School of Health and Related Research (ScHARR), University of Sheffield
Clara Mukuria: Health Economics and Decision Science (HEDS), School of Health and Related Research (ScHARR), University of Sheffield
Brendan Mulhern: Health Economics and Decision Science (HEDS), School of Health and Related Research (ScHARR), University of Sheffield
Irwin Tran: Health Economics and Strategic Pricing, Roche Products Limited
John Brazier: Health Economics and Decision Science (HEDS), School of Health and Related Research (ScHARR), University of Sheffield
Stuart Watson: Newcastle University

The Patient: Patient-Centered Outcomes Research, 2019, vol. 12, issue 4, No 6, 405-417

Abstract: Abstract Background Various self-reported or clinician-reported (as a proxy) measures exist to quantify the burden of schizophrenia on patients. Evidence of the psychometric relationship between these measures to inform their practical use is limited. Objectives Our objective was to conduct an exploratory analysis of the construct validity of patient-reported (EQ-5D, SF-6D, WEMWBS, SQLS subscales of Psychosocial, Motivation, Symptoms) versus clinician-reported measures (PANSS, CGI-SCH, NSA-4, HoNOS-PbR) to inform future use of patient-reported measures for burden-of-illness assessment and/or economic evaluation. Methods In an adult patient population with schizophrenia, construct validity was assessed in relation to convergent and known-group validity. Convergent validity was assessed using Spearman’s rank absolute correlation strength (ACS: weak ≤ 0.3, moderate = 0.3

Date: 2019
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DOI: 10.1007/s40271-019-00358-x

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