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Response‐Scale Heterogeneity in the EQ‐5D

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  • Rachel J. Knott
  • Nicole Black
  • Bruce Hollingsworth
  • Paula K. Lorgelly

Abstract

This paper discusses two types of response‐scale heterogeneity, which may impact upon the EQ‐5D. Response‐scale heterogeneity in reporting occurs when individuals systematically differ in their use of response scales when responding to self‐assessments. This type of heterogeneity is widely observed in relation to other self‐assessed measures but is often overlooked with regard to the EQ‐5D. Analogous to this, preference elicitation involving the EQ‐5D could be subject to a similar type of heterogeneity, where variations across respondents may occur in the interpretations of the levels (response categories) being valued. This response‐scale heterogeneity in preference elicitation may differ from variations in preferences for health states, which have been observed in the literature. This paper explores what these forms of response‐scale heterogeneity may mean for the EQ‐5D and the potential implications for researchers who rely on the instrument as a measure of health and quality of life. We identify situations where they are likely to be problematic and present potential avenues for overcoming these issues. Copyright © 2016 John Wiley & Sons, Ltd.

Suggested Citation

  • Rachel J. Knott & Nicole Black & Bruce Hollingsworth & Paula K. Lorgelly, 2017. "Response‐Scale Heterogeneity in the EQ‐5D," Health Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 387-394, March.
  • Handle: RePEc:wly:hlthec:v:26:y:2017:i:3:p:387-394
    DOI: 10.1002/hec.3313
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    References listed on IDEAS

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    1. Franco Peracchi & Claudio Rossetti, 2013. "The heterogeneous thresholds ordered response model: identification and inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 703-722, June.
    2. Nigel Rice & Silvana Robone & Peter Smith, 2011. "Analysis of the validity of the vignette approach to correct for heterogeneity in reporting health system responsiveness," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(2), pages 141-162, April.
    3. Arie Kapteyn & James P. Smith & Arthur van Soest, 2007. "Vignettes and Self-Reports of Work Disability in the United States and the Netherlands," American Economic Review, American Economic Association, vol. 97(1), pages 461-473, March.
    4. Nancy Devlin & Paul Krabbe, 2013. "The development of new research methods for the valuation of EQ-5D-5L," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 1-3, July.
    5. Datta Gupta, Nabanita & Kristensen, Nicolai & Pozzoli, Dario, 2010. "External validation of the use of vignettes in cross-country health studies," Economic Modelling, Elsevier, vol. 27(4), pages 854-865, July.
    6. Viola Angelini & Danilo Cavapozzi & Luca Corazzini & Omar Paccagnella, 2014. "Do Danes and Italians Rate Life Satisfaction in the Same Way? Using Vignettes to Correct for Individual-Specific Scale Biases," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(5), pages 643-666, October.
    7. Teresa Bago d’Uva & Maarten Lindeboom & Owen O’Donnell & Eddy van Doorslaer, 2011. "Slipping Anchor?: Testing the Vignettes Approach to Identification and Correction of Reporting Heterogeneity," Journal of Human Resources, University of Wisconsin Press, vol. 46(4), pages 875-906.
    8. Teresa Bago d'Uva & Eddy Van Doorslaer & Maarten Lindeboom & Owen O'Donnell, 2008. "Does reporting heterogeneity bias the measurement of health disparities?," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 351-375, March.
    9. Kristensen, Nicolai & Johansson, Edvard, 2008. "New evidence on cross-country differences in job satisfaction using anchoring vignettes," Labour Economics, Elsevier, vol. 15(1), pages 96-117, February.
    10. Arthur van Soest & Liam Delaney & Colm Harmon & Arie Kapteyn & James P. Smith, 2011. "Validating the use of anchoring vignettes for the correction of response scale differences in subjective questions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 575-595, July.
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    1. Harris, Mark N. & Knott, Rachel J. & Lorgelly, Paula K. & Rice, Nigel, 2020. "Using externally collected vignettes to account for reporting heterogeneity in survey self-assessment," Economics Letters, Elsevier, vol. 194(C).
    2. Knott, R. & Lorgelly, P. & Black, N. & Hollingsworth, B., 2016. "Differential item functioning in the EQ-5D: An exploratory analysis using anchoring vignettes," Health, Econometrics and Data Group (HEDG) Working Papers 16/14, HEDG, c/o Department of Economics, University of York.
    3. Rachel J. Knott & Nicole Black & Bruce Hollingsworth & Paula K. Lorgelly, 2017. "Response to comment by robone: Practical advice for the implementation of anchoring vignettes," Health Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 398-400, March.
    4. Silvana Robone, 2017. "Comment on ‘Response –scale heterogeneity in the EQ‐5D: Can we use vignettes to address response‐scale heterogeneity in the EQ‐5D? Not if but how’," Health Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 395-397, March.

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