Using rasch analysis to form plausible health states amenable to valuation: The development of CORE-6D from a measure of common mental health problems (CORE-OM)

Quality of Life Research

Volumn 20, Issue 3, 2011, Pages 321-333

  Mavranezouli, Ifigeneia ^a,b   Brazier, John E ^a   Young, Tracey A ^a,c   Barkham, Michael ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Condition specific measure of health; CORE 6D; CORE OM; Health states; Health related quality of life; Mental health; Preference based measures of health; Quality Adjusted Life Year; Rasch analysis

Indexed keywords

ARTICLE; HEALTH STATUS; HUMAN; INSTRUMENTATION; MENTAL DISEASE; PERSONALITY TEST; PSYCHOLOGICAL MODEL; PSYCHOMETRY; QUALITY OF LIFE; QUESTIONNAIRE;

HEALTH STATUS; HUMANS; MENTAL DISORDERS; MODELS, PSYCHOLOGICAL; PERSONALITY ASSESSMENT; PSYCHOMETRICS; QUALITY OF LIFE; QUESTIONNAIRES;

EID: 79958769188     PISSN: 09629343     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11136-010-9768-4     Document Type: Article

References (38)

1. Brazier, J., Ratcliffe, J., Salomon, J. A., & Tsuchiya, A. (2007). Measuring and valuing health benefits for economic evaluation. Oxford/New York: Oxford University Press.
2. Dolan, P. (1997). Modelling valuations for EuroQol health states. Medical Care, 35(11), 1095-1108. (Pubitemid 127453463)
3. Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference based measure of health from the SF-36. Journal of Health Economics, 21(2), 271-292. (Pubitemid 34143147)
4. Feeny, D., Furlong, W., Torrance, G. W., Goldsmith, C. H., Zhu, Z., DePauw, S., et al. (2002). Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Medical Care, 40(2), 113-128.
5. Brazier, J., Deverill, M., Green, C., Harper, R., & Booth, A. (1999). A review of the use of health status measures in economic evaluation. Health Technology Assessment, 3(9), 1-164.
6. Tsuchyia, A., Brazier, J., McColl, E., & Parkin, D. (2002). Deriving preference-based single indices from non-preference based condition-specific instruments: Converting AQLQ into EQ5D indices. Sheffield Health Economics Group Discussion Paper 02/01. Sheffield: School of Health and Related Research, University of Sheffield. Available from http://www.shef.ac.uk/ scharr/sections/heds/discussion.html.
7. McKenzie, L., & Van der Pol, M. (2009). Mapping the EORTC QLQ C-30 onto the EQ-5D instrument: The potential to estimate QALYs without generic preference data. Value in Health, 12(1), 167-171.
8. Gray, A. M., Rivero-Arias, O., & Clarke, P. M. (2006). Estimating the association between SF-12 responses and EQ-5D utility values by response mapping. Medical Decision Making, 26(1), 18-29. (Pubitemid 43134124)
9. Brazier, J. E., Yang, Y., Tsuchiya, A., & Rowen, D. L. (2010). A review of studies mapping (or cross walking) non-preference based measures of health to generic preferencebased measures. European Journal of Health Economics, 11(2), 215-225.
10. Brazier, J. E., Roberts, J., Platts, M., & Zoellner, Y. F. (2005). Estimating a preference-based index for a menopause specific health related quality of life questionnaire. Health and Quality of Life Outcomes, 3, 13.
11. Yang, Y., Tsuchiya, A., Brazier, J. E., & Young, T. A. (2007). Estimating a preference-based single index from the asthma quality of life questionnaire (AQLQ). Health Economics and Decision Science Discussion paper No. 07/02. Sheffield: School of Health and Related Research. Available from http://www. shef.ac.uk/scharr/sections/heds/discussion.html.
12. Brazier, J., Czoski-Murray, C., Roberts, J., Brown, M., Symonds, T., & Kelleher, C. (2008). Estimation of a preference-based index from a condition-specific measure: The king's health questionnaire. Medical Decision Making, 28(1), 113-126.
13. Yang, Y., Brazier, J., Tsuchiya, A., & Coyne, K. (2009). Estimating a preference-based single index from the overactive bladder questionnaire. Value in Health, 12(1), 159-166.
14. Chatfield, C., & Collins, A. J. (1980). Introduction to multivariate analysis. Cambridge: Chapman and Hall, University Press.
15. Young, T. A., Yang, Y., Brazier, J. E., & Tsuchiya, A. (2010). The use of Rasch analysis in reducing a large condition-specific instrument for preference valuation: The case of moving from AQLQ to AQL-5D. Medical Decision Making. doi:10.1177/ 0272989X10364846.
16. Young, T., Yang, Y., Brazier, J. E., Tsuchiya, A., & Coyne, K. (2009). The first stage of developing preference-based measures: Constructing a health-state classification using Rasch analysis. Quality of Life Research, 18(2), 253-265.
17. Sugar, C. A., Sturm, R., Lee, T. T., Sherbourne, C. D., Olshen, R. A., Wells, K. B., et al. (1998). Empirically defined health states for depression from the SF-12. Health Services Research, 33(4 Pt 1), 911-928. (Pubitemid 28483529)
18. Bond, T. G., & Fox, C. M. (2006). Applying the Rasch model: Fundamental measurement in the human sciences. Mahwah, New Jersey: Lawrence Erlbaum Associates Inc.
19. Barkham, M., Margison, F., Leach, C., Lucock, M., Mellor-Clark, J., Evans, C., et al. (2001). Service profiling and outcomes benchmarking using the CORE-OM: Toward practice-based evidence in the psychological therapies. Clinical outcomes in routine evaluation-outcome measures. Journal of Consulting and Clinical Psychology, 69(2), 184-196. (Pubitemid 32488277)
20. Evans, C., Connell, J., Barkham, M., Margison, F., McGrath, G., Mellor-Clark, J., et al. (2002). Towards a standardised brief outcome measure: Psychometric properties and utility of the CORE-OM. British Journal of Psychiatry, 180, 51-60. (Pubitemid 34093626)
21. Barkham, M., Gilbert, N., Connell, J., Marshall, C., & Twigg, E. (2005). Suitability and utility of the CORE-OM and CORE-A for assessing severity of presenting problems in psychological therapy services based in primary and secondary care settings. British Journal of Psychiatry, 186, 239-246. (Pubitemid 40343818)
22. Evans, C., Connell, J., Barkham, M., Marshall, C., & Mellor-Clark, J. (2003). Practice-based evidence: Benchmarking NHS primary care counselling services at national and local levels. Clinical Psychology & Psychotherapy, 10, 374-388. (Pubitemid 40310014)
23. Barkham, M., Stiles, W. B., Connell, J., Twigg, E., Leach, C., Lucock, M., et al. (2008). Effects of psychological therapies in randomized trials and practice-based studies. British Journal of Clinical Psychology, 47(Pt 4), 397-415.
24. Jacobs, R. (2009). Investigating patient outcome measures in mental health. CHE Research Paper Number 48. York: Centre for Health Economics, University of York.
25. Chisholm, D., Healey, A., & Knapp, M. (1997). QALYs and mental health care. Social Psychiatry and Psychiatric Epidemiology, 32(2), 68-75. (Pubitemid 27075693)
26. Knapp, M., & Mangalore, R. (2007). "The trouble with QALYs⋯''. Epidemiologia e Psichiatria Sociale, 16(4), 289-293.
27. Brazier, J. (2008). Measuring and valuing mental health for use in economic evaluation. Journal of Health Services Research & Policy, 13(Suppl 3), 70-75.
28. Smith, A. B., Rush, R., Fallowfield, L. J., Velikova, G., & Sharpe, M. (2008). Rasch fit statistics and sample size considerations for polytomous data. BMC Medical Research Methodology, 8, 33.
29. Tennant, A., & Conaghan, P. G. (2007). The Rasch measurement model in rheumatology: What is it and why use it? When should it be applied, and what should one look for in a Rasch paper? Arthritis & Rheumatism (Arthritis Care & Research), 57(8), 1358-1362. (Pubitemid 350308830)
30. Miller, G. A. (1956). The magical number seven plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81-97.
31. Smith, E. V., Jr. (2002). Detecting and evaluating the impact of multidimensionality using item fit statistics and principal component analysis of residuals. Journal of Applied Measurement, 3(2), 205-231.
32. Tennant, A., & Pallant, J. F. (2006). Unidimensionality matters! (A Tale of Two Smiths?). Rasch Measurement Transactions, 20(1), 1048-1051. Available from http://www.rasch.org/rmt/ rmt201c.htm.
33. SPSS for Windows ©, 11.5 (2002). Chicago: SPSS Inc.
34. Andrich, D., Lyne, A., Sheridan, B., & Luo, G. (2003). RUMM2020. Perth: RUMM Laboratory Pty Ltd. http://www. rummlab.com.
35. Young, T. A., Rowen, D., Norquist, J., & Brazier, J. E. (2010). Developing preference-based health measures: Using Rasch analysis to generate health state values. Quality of Life Research, 19(6), 907-917.
36. Fischer, W., Jr. (1992). Reliability statistics. Rasch Measurement Transactions, 6(3), 238. Available from http://www.rasch.org/ rmt/rmt63i.htm.
37. Moock, J., & Kohlmann, T. (2008). Comparing preference-based quality-of-life measures: Results from rehabilitation patients with musculoskeletal, cardiovascular, or psychosomatic disorders. Quality of Life Research, 17(3), 485-495.
38. van de Willige, G., Wiersma, D., Nienhuis, F. J., & Jenner, J. A. (2005). Changes in quality of life in chronic psychiatric patients: A comparison between EuroQol (EQ-5D) and WHOQoL. Quality of Life Research, 14(2), 441-451. (Pubitemid 40576394)