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Understanding the effect of disease adaptation information on general population values for hypothetical health states

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  • McTaggart-Cowan, Helen
  • Tsuchiya, Aki
  • O'Cathain, Alicia
  • Brazier, John

Abstract

It has been recommended that economic evaluation of healthcare technologies should use values for hypothetical health states elicited from the general population rather than patients. The drawback is the general population may not consider the possibility of adapting to the impaired state. This study explored the extent to which the general population changes their initial values, and the factors that influenced this change, after being informed with different disease adaptation techniques. Three rheumatoid arthritis states were used for illustration. General population respondents from the United Kingdom initially valued the states. An adaptation exercise followed, where they listened to recordings of patients discussing how they adapted; they then valued the same states again. The differences between the valuations were examined using t-tests. A multivariate regression model was developed to assess the factors that impacted individuals to change their initial values. After undergoing the adaptation exercise, the respondents increased their values for the rheumatoid arthritis states. Younger and healthier individuals were more likely to increase their initial values after being informed.

Suggested Citation

  • McTaggart-Cowan, Helen & Tsuchiya, Aki & O'Cathain, Alicia & Brazier, John, 2011. "Understanding the effect of disease adaptation information on general population values for hypothetical health states," Social Science & Medicine, Elsevier, vol. 72(11), pages 1904-1912, June.
    • Handle: RePEc:eee:socmed:v:72:y:2011:i:11:p:1904-1912
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    References listed on IDEAS

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    Cited by:

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    2. Dolan, Paul & Kavetsos, Georgios & Tsuchiya, Aki, 2013. "Sick but satisfied: The impact of life and health satisfaction on choice between health scenarios," Journal of Health Economics, Elsevier, vol. 32(4), pages 708-714.
    3. Patricia Cubí‐Mollá & Mireia Jofre‐Bonet & Victoria Serra‐Sastre, 2017. "Adaptation to health states: Sick yet better off?," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1826-1843, December.
    4. Erik Nord & Jose Luis Pinto & Jeff Richardson & Paul Menzel & Peter Ubel, 1999. "Incorporating societal concerns for fairness in numerical valuations of health programmes," Health Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 25-39, February.
    5. Christopher J Gerry & Maria Kaneva, 2021. "Adapting to the Challenges of Chronic Non-communicable Diseases: Evidence from Russia," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(4), pages 1537-1553, August.
    6. Patricia Cubi-Molla & Koonal Shah & Kristina Burström, 2018. "Experience-Based Values: A Framework for Classifying Different Types of Experience in Health Valuation Research," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(3), pages 253-270, June.
    7. John Brazier & Donna Rowen & Milad Karimi & Tessa Peasgood & Aki Tsuchiya & Julie Ratcliffe, 2018. "Experience-based utility and own health state valuation for a health state classification system: why and how to do it," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(6), pages 881-891, July.
    8. Peña-Longobardo, L.M. & Rodríguez-Sánchez, B. & Oliva-Moreno, J., 2021. "The impact of widowhood on wellbeing, health, and care use: A longitudinal analysis across Europe," Economics & Human Biology, Elsevier, vol. 43(C).
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