Skip to main content
Top
Gepubliceerd in: Quality of Life Research 3/2011

01-04-2011

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)

Auteurs: Ifigeneia Mavranezouli, John E. Brazier, Tracey A. Young, Michael Barkham

Gepubliceerd in: Quality of Life Research | Uitgave 3/2011

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

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.
Literatuur
1.
go back to reference Brazier, J., Ratcliffe, J., Salomon, J. A., & Tsuchiya, A. (2007). Measuring and valuing health benefits for economic evaluation. Oxford/New York: Oxford University Press. 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.
go back to reference Dolan, P. (1997). Modelling valuations for EuroQol health states. Medical Care, 35(11), 1095–1108.CrossRef Dolan, P. (1997). Modelling valuations for EuroQol health states. Medical Care, 35(11), 1095–1108.CrossRef
3.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
4.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
5.
go back to reference 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. 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.
go back to reference 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. 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.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
8.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
9.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
10.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
12.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
13.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
14.
go back to reference Chatfield, C., & Collins, A. J. (1980). Introduction to multivariate analysis. Cambridge: Chapman and Hall, University Press. Chatfield, C., & Collins, A. J. (1980). Introduction to multivariate analysis. Cambridge: Chapman and Hall, University Press.
15.
go back to reference 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. 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.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
17.
go back to reference 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 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
18.
go back to reference Bond, T. G., & Fox, C. M. (2006). Applying the Rasch model: Fundamental measurement in the human sciences. Mahwah, New Jersey: Lawrence Erlbaum Associates Inc. 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.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
20.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
21.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
22.
go back to reference 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.CrossRef 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.CrossRef
23.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
24.
go back to reference Jacobs, R. (2009). Investigating patient outcome measures in mental health. CHE Research Paper Number 48. York: Centre for Health Economics, University of York. Jacobs, R. (2009). Investigating patient outcome measures in mental health. CHE Research Paper Number 48. York: Centre for Health Economics, University of York.
25.
go back to reference Chisholm, D., Healey, A., & Knapp, M. (1997). QALYs and mental health care. Social Psychiatry and Psychiatric Epidemiology, 32(2), 68–75.PubMedCrossRef Chisholm, D., Healey, A., & Knapp, M. (1997). QALYs and mental health care. Social Psychiatry and Psychiatric Epidemiology, 32(2), 68–75.PubMedCrossRef
26.
go back to reference Knapp, M., & Mangalore, R. (2007). “The trouble with QALYs…”. Epidemiologia e Psichiatria Sociale, 16(4), 289–293.PubMed Knapp, M., & Mangalore, R. (2007). “The trouble with QALYs…”. Epidemiologia e Psichiatria Sociale, 16(4), 289–293.PubMed
27.
go back to reference Brazier, J. (2008). Measuring and valuing mental health for use in economic evaluation. Journal of Health Services Research & Policy, 13(Suppl 3), 70–75.CrossRef Brazier, J. (2008). Measuring and valuing mental health for use in economic evaluation. Journal of Health Services Research & Policy, 13(Suppl 3), 70–75.CrossRef
28.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
29.
go back to reference 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.CrossRef 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.CrossRef
30.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
31.
go back to reference 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 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
33.
go back to reference SPSS for Windows ©, 11.5 (2002). Chicago: SPSS Inc. SPSS for Windows ©, 11.5 (2002). Chicago: SPSS Inc.
35.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
37.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
38.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
Metagegevens
Titel
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)
Auteurs
Ifigeneia Mavranezouli
John E. Brazier
Tracey A. Young
Michael Barkham
Publicatiedatum
01-04-2011
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 3/2011
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-010-9768-4

Andere artikelen Uitgave 3/2011

Quality of Life Research 3/2011 Naar de uitgave