Development and validation of a preference based measure derived from the Cambridge Pulmonary Hypertension Outcome Revie
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Development and validation of a preference based measure derived from the Cambridge Pulmonary Hypertension Outcome Review (CAMPHOR) for use in cost utility analyses Stephen P McKenna1,2, Julie Ratcliffe3, David M Meads*1 and John E Brazier3 Address: 1Galen Research Ltd, Enterprise House, Manchester Science Park, Lloyd Street North, Manchester, M15 6SE, UK, 2School of Psychology, University of Central Lancashire, Preston, PR1 2HE, UK and 3School of Health and Related Research, University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK Email: Stephen P McKenna - [email protected]; Julie Ratcliffe - [email protected]; David M Meads* - [email protected]; John E Brazier - [email protected] * Corresponding author
Published: 21 August 2008 Health and Quality of Life Outcomes 2008, 6:65
doi:10.1186/1477-7525-6-65
Received: 6 September 2007 Accepted: 21 August 2008
This article is available from: http://www.hqlo.com/content/6/1/65 © 2008 McKenna et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract Background: Pulmonary Hypertension is a severe and incurable disease with poor prognosis. A suite of new disease-specific measures – the Cambridge Pulmonary Hypertension Outcome Review (CAMPHOR) – was recently developed for use in this condition. The purpose of this study was to develop and validate a preference based measure from the CAMPHOR that could be used in costutility analyses. Methods: Items were selected that covered major issues covered by the CAMPHOR QoL scale (activities, travelling, dependence and communication). These were used to create 36 health states that were valued by 249 people representative of the UK adult population, using the time trade-off (TTO) technique. Data from the TTO interviews were analysed using both aggregate and individual level modelling. Finally, the original CAMPHOR validation data were used to validate the new preference based model. Results: The predicted health state values ranged from 0.962 to 0.136. The mean level model selected for analyzing the data had good explanatory power (0.936), did not systematically overor underestimate the observed mean health state values and showed no evidence of auto correlation in the prediction errors. The value of less than 1 reflects a background level of ill health in state 1111, as judged by the respondents. Scores derived from the new measure had excellent test-retest reliability (0.85) and construct validity. The CAMPHOR utility score appears better able to distinguish between WHO functional classes (II and III) than the EQ-5D and SF-6D. Conclusion: The tariff derived in this study can be used to classify an individual into a health state based on their responses to the CAMPHOR. The results of this study
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