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Deriving preference-based single indices from non-preference based condition-specific instruments: converting AQLQ into EQ5D indices

Author

Listed:
  • Tsuchiya, A
  • Brazier, J
  • McColl, E
  • Parkin, D

Abstract

Suppose that one has a clinical dataset with only non-preference-based QOL data, and that one nevertheless would like to perform a cost/QALY analysis. This study reports on some efforts to establish a “mapping” relationship between AQLQ (a non-preference-based QOL instrument for asthma) and EQ5D (a preference-based generic instrument). Various methods are described in terms of associated assumptions regarding the measurement properties of the instruments. This is followed by empirical mapping, based on regressing EQ5D on AQLQ. Six main regression models and two supplementary models are identified, and the regressions carried out. Performance of each model is explored in terms of goodness of fit between observed and predicted values, and of robustness of predictions on external data. The results show that it is possible to predict mean EQ5D indices given AQLQ data. The general implications for methods of mapping non-preference-based instruments onto preference-based measures are discussed.

Suggested Citation

  • Tsuchiya, 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," MPRA Paper 29740, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:29740
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    File URL: https://mpra.ub.uni-muenchen.de/29740/1/MPRA_paper_29740.pdf
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    References listed on IDEAS

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    1. McKenzie, Lynda & Cairns, John & Osman, Liesl, 2001. "Symptom-based outcome measures for asthma: the use of discrete choice methods to assess patient preferences," Health Policy, Elsevier, vol. 57(3), pages 193-204, September.
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    Cited by:

    1. Jeff Round & Annie Hawton, 2017. "Statistical Alchemy: Conceptual Validity and Mapping to Generate Health State Utility Values," PharmacoEconomics - Open, Springer, vol. 1(4), pages 233-239, December.
    2. Brazier, JE & Yang, Y & Tsuchiya, A, 2008. "A review of studies mapping (or cross walking) from non-preference based measures of health to generic preference-based measures," MPRA Paper 29808, University Library of Munich, Germany.
    3. Jihyung Hong & Eun-Young Bae, 2021. "A Review of Utility Measurement Methods Used in Pharmacoeconomic Submissions to HIRA in South Korea: Methodological Consistency and Areas for Improvement," PharmacoEconomics, Springer, vol. 39(10), pages 1109-1121, October.
    4. Zafar Zafari & Mohsen Sadatsafavi & Carlo A Marra & Wenjia Chen & J Mark FitzGerald, 2016. "Cost-Effectiveness of Bronchial Thermoplasty, Omalizumab, and Standard Therapy for Moderate-to-Severe Allergic Asthma," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-15, January.
    5. Kamran Khan & Stavros Petrou & Oliver Rivero-Arias & Stephen Walters & Spencer Boyle, 2014. "Mapping EQ-5D Utility Scores from the PedsQL™ Generic Core Scales," PharmacoEconomics, Springer, vol. 32(7), pages 693-706, July.
    6. Samer A. Kharroubi & Richard Edlin & David Meads & Chantelle Browne & Julia Brown & Christopher McCabe, 2015. "Use of Bayesian Markov Chain Monte Carlo Methods to Estimate EQ-5D Utility Scores from EORTC QLQ Data in Myeloma for Use in Cost-Effectiveness Analysis," Medical Decision Making, , vol. 35(3), pages 351-360, April.
    7. Rowen, D & Brazier, J & Tsuchiya, A & Hernández, M & Ibbotson, R, 2009. "The simultaneous valuation of states from multiple instruments using ranking and VAS data: methods and preliminary results," MPRA Paper 29841, University Library of Munich, Germany.
    8. John Brazier & Yaling Yang & Aki Tsuchiya & Donna Rowen, 2010. "A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(2), pages 215-225, April.
    9. Billingsley Kaambwa & Julie Ratcliffe, 2018. "Predicting EuroQoL 5 Dimensions 5 Levels (EQ-5D-5L) Utilities from Older People’s Quality of Life Brief Questionnaire (OPQoL-Brief) Scores," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(1), pages 39-54, February.
    10. Matthijs M. Versteegh & Annemieke Leunis & Jolanda J. Luime & Mike Boggild & Carin A. Uyl-de Groot & Elly A. Stolk, 2012. "Mapping QLQ-C30, HAQ, and MSIS-29 on EQ-5D," Medical Decision Making, , vol. 32(4), pages 554-568, July.
    11. Yaling Yang & John E. Brazier & Aki Tsuchiya & Tracey A. Young, 2011. "Estimating a Preference-Based Index for a 5-Dimensional Health State Classification for Asthma Derived from the Asthma Quality of Life Questionnaire," Medical Decision Making, , vol. 31(2), pages 281-291, March.
    12. Matthew Franklin & Katherine Payne & Rachel A. Elliott, 2018. "Quantifying the Relationship between Capability and Health in Older People: Can’t Map, Won’t Map," Medical Decision Making, , vol. 38(1), pages 79-94, January.
    13. Billingsley Kaambwa & Gang Chen & Julie Ratcliffe & Angelo Iezzi & Aimee Maxwell & Jeff Richardson, 2017. "Mapping Between the Sydney Asthma Quality of Life Questionnaire (AQLQ-S) and Five Multi-Attribute Utility Instruments (MAUIs)," PharmacoEconomics, Springer, vol. 35(1), pages 111-124, January.
    14. Nick Kontodimopoulos & Panagiotis Bozios & John Yfantopoulos & Dimitris Niakas, 2013. "Longitudinal predictive ability of mapping models: examining post-intervention EQ-5D utilities derived from baseline MHAQ data in rheumatoid arthritis patients," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(2), pages 307-314, April.
    15. Donna Rowen & John Brazier & Aki Tsuchiya & Mónica Hernández Alava, 2012. "Valuing states from multiple measures on the same visual analogue sale: a feasibility study," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 715-729, June.
    16. Christine Mpundu-Kaambwa & Gang Chen & Remo Russo & Katherine Stevens & Karin Dam Petersen & Julie Ratcliffe, 2017. "Mapping CHU9D Utility Scores from the PedsQLTM 4.0 SF-15," PharmacoEconomics, Springer, vol. 35(4), pages 453-467, April.

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    More about this item

    Keywords

    EQ5D; AQLQ; mapping;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I19 - Health, Education, and Welfare - - Health - - - Other

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