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Inconsistency and health state valuations

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  • Dolan, Paul
  • Kind, Paul

Abstract

The comparison of scaling methods used to value health states sometimes rests upon an analysis of aggregate scores. This analysis is usually undertaken once "inconsistent' respondents have been excluded from the data. However, it is important to be able to judge the extent to which respondents as a whole are logically consistent when assigning values to health states. The degree of inconsistency will depend on how the health states are described, how the questionnaire is administered and who the respondents are. This paper analyses the inconsistency rates from two studies in which valuations for EuroQol health states were elicited using the visual analogue scale (VAS) method. The studies differed in design and incorporated several different variants of the standard EuroQol questionnaire, thus providing an opportunity to examine the relative importance of the different factors that were thought to affect inconsistency rates. Our general conclusions are that inconsistency rates are higher for interviewer-based than for postal surveys, possibly due to response bias, and that inconsistency rates are positively related to age and negatively related to educational attainment.

Suggested Citation

  • Dolan, Paul & Kind, Paul, 1996. "Inconsistency and health state valuations," Social Science & Medicine, Elsevier, vol. 42(4), pages 609-615, February.
    • Handle: RePEc:eee:socmed:v:42:y:1996:i:4:p:609-615
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    Cited by:

    1. Eve Wittenberg & Lisa Prosser, 2011. "Ordering errors, objections and invariance in utility survey responses," Applied Health Economics and Health Policy, Springer, vol. 9(4), pages 225-241, July.
    2. Franz Ombler & Michael Albert & Paul Hansen, 2018. "How Significant Are “High†Correlations Between EQ-5D Value Sets?," Medical Decision Making, , vol. 38(6), pages 635-645, August.
    3. Michaël Schwarzinger & Jean‐Louis Lanoë & Erik Nord & Isabelle Durand‐Zaleski, 2004. "Lack of multiplicative transitivity in person trade‐off responses," Health Economics, John Wiley & Sons, Ltd., vol. 13(2), pages 171-181, February.
    4. Whynes, David K. & Frew, Emma & Wolstenholme, Jane L., 2003. "A comparison of two methods for eliciting contingent valuations of colorectal cancer screening," Journal of Health Economics, Elsevier, vol. 22(4), pages 555-574, July.
    5. Efthymiadou, Olina & Mossman, Jean & Kanavos, Panos, 2019. "Health related quality of life aspects not captured by EQ-5D-5L: Results from an international survey of patients," Health Policy, Elsevier, vol. 123(2), pages 159-165.
    6. Eva Rodríguez Míguez & José María Abellán Perpiñán & José Carlos Álvarez Villamarín & José Manuel González Martínez & Antonio Rodríguez Sampayo, 2013. "Development of a new preference-based instrument to measure dependency," Working Papers 1301, Universidade de Vigo, Departamento de Economía Aplicada.
    7. N J Devlin & P Hansen & P Kind & A H Williams, 2000. "The health state preferences and logistical inconsistencies of New Zealanders: a tale of two tariffs," Working Papers 180chedp, Centre for Health Economics, University of York.
    8. Benjamin M. Craig & Sulabha Ramachandran, 2006. "Relative risk of a shuffled deck: a generalizable logical consistency criterion for sample selection in health state valuation studies," Health Economics, John Wiley & Sons, Ltd., vol. 15(8), pages 835-848, August.
    9. Nancy J. Devlin & Paul Hansen & Paul Kind & Alan Williams, 2003. "Logical inconsistencies in survey respondents' health state valuations ‐ a methodological challenge for estimating social tariffs," Health Economics, John Wiley & Sons, Ltd., vol. 12(7), pages 529-544, July.
    10. Marian Sorin Paveliu & Elena Olariu & Raluca Caplescu & Yemi Oluboyede & Ileana-Gabriela Niculescu-Aron & Simona Ernu & Luke Vale, 2021. "Estimating an EQ-5D-3L Value Set for Romania Using Time Trade-Off," IJERPH, MDPI, vol. 18(14), pages 1-16, July.
    11. Fernando San Miguel & Mandy Ryan & Mabelle Amaya‐Amaya, 2005. "‘Irrational’ stated preferences: a quantitative and qualitative investigation," Health Economics, John Wiley & Sons, Ltd., vol. 14(3), pages 307-322, March.
    12. Marie-Josée Dion & Pierre Tousignant & Jean Bourbeau & Dick Menzies & Kevin Schwartzman, 2002. "Measurement of Health Preferences among Patients with Tuberculous Infection and Disease," Medical Decision Making, , vol. 22(1_suppl), pages 102-114, September.
    13. Nancy Devlin & Paul Hansen & Peter Herbison & Susan Macran, 2005. "A ‘new and improved’ EQ-5D valuation questionnaire?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(1), pages 73-82, March.
    14. William Hollingworth & Richard A. Deyo & Sean D. Sullivan & Scott S. Emerson & Darryl T. Gray & Jeffrey G. Jarvik, 2002. "The practicality and validity of directly elicited and SF‐36 derived health state preferences in patients with low back pain," Health Economics, John Wiley & Sons, Ltd., vol. 11(1), pages 71-85, January.
    15. Franz Ombler & Michael Albert & Paul Hansen, 2017. "The true significance of ‘high’ correlations between EQ-5D value sets," Working Papers 1704, University of Otago, Department of Economics, revised Mar 2017.
    16. Anne Spencer & Ewan Tomeny & Ruben E. Mujica-Mota & Angela Robinson & Judith Covey & Jose Luis Pinto-Prades, 2019. "Do time trade-off values fully capture attitudes that are relevant to health-related choices?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(4), pages 559-568, June.
    17. Irina Cleemput, 2010. "A social preference valuations set for EQ-5D health states in Flanders, Belgium," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(2), pages 205-213, April.
    18. Vick, Sandra & Scott, Anthony, 1998. "Agency in health care. Examining patients' preferences for attributes of the doctor-patient relationship," Journal of Health Economics, Elsevier, vol. 17(5), pages 587-605, October.
    19. Mandy Ryan & Verity Watson & Vikki Entwistle, 2009. "Rationalising the ‘irrational’: a think aloud study of discrete choice experiment responses," Health Economics, John Wiley & Sons, Ltd., vol. 18(3), pages 321-336, March.
    20. Lisa Prosser & James Hammitt & Ron Keren, 2007. "Measuring Health Preferences for Use in Cost-Utility and Cost-Benefit Analyses of Interventions in Children," PharmacoEconomics, Springer, vol. 25(9), pages 713-726, September.

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