Abstract
Purpose
To describe a new approach for deriving a preference-based index from a condition specific measure that uses Rasch analysis to develop health states.
Methods
The CORE-OM is a 34-item instrument monitoring clinical outcomes of people with common mental health problems. The CORE-OM is characterised by high correlation across its domains. Rasch analysis was used to reduce the number of items and response levels in order to produce a unidimensional measure and to generate a credible set of health states corresponding to different levels of symptom severity using the Rasch item threshold map.
Results
The proposed methodology resulted in the development of CORE-6D, a 2-dimensional health state descriptive system consisting of a unidimensional 5-item emotional component (derived from Rasch analysis) and a physical symptom item. Inspection of the Rasch item threshold map of the emotional component helped identify a set of 11 plausible health states, which, combined with 3 physical symptom item levels, form 33 plausible health states that can be used for the valuation of the instrument, resulting in the development of a preference-based index.
Conclusions
This is a useful new approach to develop preference-based measures from existing instruments with high correlations across domains. The CORE-6D preference-based index will enable calculation of Quality-Adjusted Life Years in people with common mental health problems.
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Abbreviations
- CORE-OM:
-
Clinical Outcomes in Routine Evaluation-Outcome Measure
- CSM:
-
Condition-specific measure
- DIF:
-
Differential item functioning
- HRQoL:
-
Health-related quality of life
- NHS:
-
National Health Service
- PBM:
-
Preference-based measure
- SRM:
-
Standardised response mean
- QALY:
-
Quality-Adjusted Life Year
References
Brazier, J., Ratcliffe, J., Salomon, J. A., & Tsuchiya, A. (2007). Measuring and valuing health benefits for economic evaluation. Oxford/New York: Oxford University Press.
Dolan, P. (1997). Modelling valuations for EuroQol health states. Medical Care, 35(11), 1095–1108.
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.
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.
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.
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.
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.
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.
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 preference-based measures. European Journal of Health Economics, 11(2), 215–225.
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.
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.
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.
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.
Chatfield, C., & Collins, A. J. (1980). Introduction to multivariate analysis. Cambridge: Chapman and Hall, University Press.
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.
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.
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.
Bond, T. G., & Fox, C. M. (2006). Applying the Rasch model: Fundamental measurement in the human sciences. Mahwah, New Jersey: Lawrence Erlbaum Associates Inc.
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.
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.
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.
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.
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.
Jacobs, R. (2009). Investigating patient outcome measures in mental health. CHE Research Paper Number 48. York: Centre for Health Economics, University of York.
Chisholm, D., Healey, A., & Knapp, M. (1997). QALYs and mental health care. Social Psychiatry and Psychiatric Epidemiology, 32(2), 68–75.
Knapp, M., & Mangalore, R. (2007). “The trouble with QALYs…”. Epidemiologia e Psichiatria Sociale, 16(4), 289–293.
Brazier, J. (2008). Measuring and valuing mental health for use in economic evaluation. Journal of Health Services Research & Policy, 13(Suppl 3), 70–75.
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.
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.
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.
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.
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.
SPSS for Windows ©, 11.5 (2002). Chicago: SPSS Inc.
Andrich, D., Lyne, A., Sheridan, B., & Luo, G. (2003). RUMM2020. Perth: RUMM Laboratory Pty Ltd. http://www.rummlab.com.
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.
Fischer, W., Jr. (1992). Reliability statistics. Rasch Measurement Transactions, 6(3), 238. Available from http://www.rasch.org/rmt/rmt63i.htm.
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.
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.
Acknowledgments
Ifigeneia Mavranezouli undertook this work as a PhD student in the School of Health and Related Research at the University of Sheffield. We are grateful to the UK MRC Methodology Programme for supporting this work and to the CORE System Trustees for giving approval for the development of the CORE-6D.
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Mavranezouli, I., Brazier, J.E., Young, T.A. et al. 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). Qual Life Res 20, 321–333 (2011). https://doi.org/10.1007/s11136-010-9768-4
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DOI: https://doi.org/10.1007/s11136-010-9768-4