Skip to main content

Advertisement

Log in

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)

  • Published:
Quality of Life Research Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

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

  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.

    Google Scholar 

  2. Dolan, P. (1997). Modelling valuations for EuroQol health states. Medical Care, 35(11), 1095–1108.

    Article  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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 preference-based measures. European Journal of Health Economics, 11(2), 215–225.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  14. Chatfield, C., & Collins, A. J. (1980). Introduction to multivariate analysis. Cambridge: Chapman and Hall, University Press.

    Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    PubMed  CAS  Google Scholar 

  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.

    Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  26. Knapp, M., & Mangalore, R. (2007). “The trouble with QALYs…”. Epidemiologia e Psichiatria Sociale, 16(4), 289–293.

    PubMed  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

Download references

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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ifigeneia Mavranezouli.

Rights and permissions

Reprints and permissions

About this article

Cite this article

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

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-010-9768-4

Navigation