Deriving a preference-based measure for cancer using the EORTC QLQ-C30

Value in Health

Volumn 14, Issue 5, 2011, Pages 721-731

  Rowen, Donna ^a   Brazier, John ^a   Young, Tracey ^a   Gaugris, Sabine ^b   Craig, Benjamin M ^c,d   King, Madeleine T ^e   Velikova, Galina ^f  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b Janssen Cilag Ltd   (United Kingdom)

^c H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

^d UNIVERSITY OF SOUTH FLORIDA   (United States)

^e UNIVERSITY OF SYDNEY   (Australia)

^f IMPERIAL CANCER RESEARCH FUND   (United Kingdom)

Author keywords

cancer; EORTC QLQ C30; preference based measures; QALY; utility

Indexed keywords

ADULT; AGED; ARTICLE; CLASSIFIER; CONSTIPATION; CONTROLLED STUDY; DIARRHEA; ECONOMIC EVALUATION; EMOTIONALITY; EUROPEAN ORGANIZATION FOR RESEARCH AND TREATMENT OF CANCER CORE QUALITY OF LIFE QUESTIONNAIRE; FACTORIAL ANALYSIS; FATIGUE; FEMALE; HEALTH ASSESSMENT QUESTIONNAIRE; HUMAN; MAJOR CLINICAL STUDY; MALE; MULTIPLE MYELOMA; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; NAUSEA; PAIN; PHYSICAL CAPACITY; PRIORITY JOURNAL; PSYCHOMETRY; RANDOMIZED CONTROLLED TRIAL (TOPIC); RASCH ANALYSIS; SLEEP DISORDER; SOCIAL STATUS; UNITED KINGDOM;

ADULT; AGED; CLINICAL TRIALS, PHASE III AS TOPIC; FACTOR ANALYSIS, STATISTICAL; FEMALE; HEALTH STATUS; HEALTH STATUS INDICATORS; HUMANS; MALE; MIDDLE AGED; MODELS, ECONOMIC; MULTIPLE MYELOMA; PREDICTIVE VALUE OF TESTS; PSYCHOMETRICS; QUALITY OF LIFE; QUALITY-ADJUSTED LIFE YEARS; QUESTIONNAIRES; RANDOMIZED CONTROLLED TRIALS AS TOPIC; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SEVERITY OF ILLNESS INDEX; TREATMENT OUTCOME;

EID: 80052490381     PISSN: 10983015     EISSN: 15244733     Source Type: Journal    
DOI: 10.1016/j.jval.2011.01.004     Document Type: Article

References (35)

1. R. Brooks EuroQol: the current state of play Health Policy 37 1996 53 72 (Pubitemid 26191458)
2. D. Feeny, W. Furlong, and G.W. Torrance Multiattribute and single-attribute utility functions for the health utilities index mark 3 system Med Care 40 2002 113 128
3. J. Brazier, J. Roberts, and M. Deverill The estimation of a preference-based measure of health from the SF-36 J Health Econ 21 2002 271 292 (Pubitemid 34143147)
4. J.E. Brazier, J. Roberts, J.E. Brazier, and J. Roberts The estimation of a preference-based measure of health from the SF-12 Med Care 42 2004 851 859 (Pubitemid 39456916)
5. Guide to the Methods of Technology Appraisal 2008 British National Institute of Health and Clinical Excellence London
6. J.E. Brazier, J. Ratcliffe, J.A. Solomon, and A. Tsuchiya Measuring and Valuing Health for Economic Evaluation 2007 Oxford University Press Oxford
7. M. Garau, K. Shah, and A. Towse Assessment and Appraisal of Oncology Medicines: Does NICE's Approach Include All Relevant Elements? What Can Be Learnt From International HTA Experiences? Report for the Pharmaceutical Oncology Initiative 2009 OHE Consulting London, UK
8. Guidance for Industry Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims 2009 U.S. Department of Health and Human Services Food and Drug Administration Silver Spring, MD
9. A.S. Pickard, J.W. Shaw, and L. Hsiang-Wen A Patient-based utility measure of health for clinical trials of cancer therapy based on the european organization for the research and treatment of cancer quality of life questionnaire Value Health 12 2009 977 988
10. J.E. Brazier, Y. Yang, A. Tsuchiya, and D.L. Rowen A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures Eur J Health Econ 11 2010 215 225
11. J. Brazier, S. Dixon, J. Brazier, and S. Dixon The use of condition specific outcome measures in economic appraisal Health Econ 4 1995 25 64
12. J. Brazier, T. Usherwood, R. Harper, and K. Thomas Deriving a preference-based single index from the UK SF-36 Health Survey J Clin Epidemiol 51 1998 1115 1128 (Pubitemid 28527167)
13. J.E. Brazier, C. Czoski-Murray, and J. Roberts Estimation of a preference-based index from a condition-specific measure: the King's health questionnaire Med Decis Making 28 2008 113 126
14. Y. Yang, J. Brazier, A. Tsuchiya, and T. Young Estimating a preference-based index for a 5-dimensional health state classification for asthma derived from the asthma quality of life questionnaire Med Decis Making 31 2011 281 291
15. T. Young, Y. Yang, J. Brazier, and A. Tsuchiya The use of Rasch analysis in reducing a large condition-specific instrument for preference valuation: the case of moving from AQLQ to AQL-5D Med Decis Making 31 2011 195 210
16. Y. Yang, J. Brazier, A. Tsuchiya, and K. Coyne Estimating a preference-based single index from the overactive bladder questionnaire Value Health 12 2009 159 166
17. T. Young, Y. Yang, and J.E. Brazier The first stage of developing preference-based measures: constructing a health-state classification using Rasch analysis Qual Life Res 18 2009 253 265
18. N.K. Aaronson, S. Ahmedzai, and B. Bregman The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology J Natl Cancer Inst 85 1993 365 376 (Pubitemid 23073154)
19. G.W. Torrance Social preferences for health states: an empirical evaluation of three measurement techniques Socioecon Plann Sci 10 1976 129 136
20. J. von Neumann, and O. Morgenstern Theory of Games and Economic Behavior 1953 Wiley New York
21. H.E. Miller The magical number seven, plus or minus two: some limits on our capacity for processing information Psychol Rev 63 1956 81 97
22. C. Chatfield, and C. Collins Introduction to Multivariate Analysis 1980 Chapman and Hall London and New York
23. I. Mavranezouli, J. Brazier, A. Young, and M. Barkham Using Rasch analysis to form plausible health states amenable to valuation: the development of the CORE-6D from a measure of common mental health problems (CORE-OM) Qual Life Res 20 2011 321 333
24. G. Rasch Probabilistic Models for Some Intelligence and Attainment Tests 1960 University of Chicago Press Chicago
25. L. Tesio Measuring behaviours and perceptions: Rasch analysis as a tool for rehabilitation research J Rehabil Med 35 2003 105 115 (Pubitemid 36681702)
26. D. Rowen, J. Brazier, and A. Tsuchiya It's all in the name, or is it? The impact of labelling on health state values Med Decis Making 2011 In Press
27. P. Dolan Modeling valuations for EuroQol health states Med Care 35 1997 1095 1108 (Pubitemid 127453463)
28. C. McCabe, K. Stevens, J. Roberts, and J. Brazier Health state values for the HUI 2 descriptive system: results from a UK survey Health Econ 14 2005 231 244 (Pubitemid 40360760)
29. D.L. Patrick, H.E. Starks, and K.C. Cain Measuring preferences for health states worse than death Med Decis Making 14 1994 9 18 (Pubitemid 24032677)
30. B.M. Craig, and J. Busschbach The episodic random utility model unifies worse than death and better than death TTO responses in health state valuation Popul Health Metr 7 2009 1 10
31. J. Cohen Statistical Power Analysis for the Behavioural Sciences 1978 Academic Press New York
32. Yang Y, Brazier J, Tsuchiya A. The effect of adding a sleep dimension to the EQ-5D. Health Economics Study Group Meeting, University of East Anglia, 2008.
33. Brazier J, Rowen D, Tsuchiya A, et al. The impact of adding an extra dimension to a preference-based measure. Social Science & Medicine, Accepted.
34. J.A. Johnson, N. Luo, and J.W. Shaw Valuations of EQ-5D health states: are the United States and United Kingdom different? Med Care 43 2005 221 228 (Pubitemid 40353905)
35. J.A. Johnson, A. Ohinmaa, and B. Murti Comparison of Finnish and U.S.-based visual analog scale valuations of the EQ-5D measure Med Decis Making 20 2000 281 289 (Pubitemid 30470723)