IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v315y2022ics0277953622007808.html
   My bibliography  Save this article

Do they just know more, or do they also have different preferences? An exploratory analysis of the effects of self-reporting serious health problems on health state valuation

Author

Listed:
  • Elliott, Jack
  • Tsuchiya, Aki

Abstract

Health state valuation is often conducted by people valuing either only their own health state (experience-based valuation) or several stylised states (hypothetical valuation). The approach used can affect the elicited values, but it is not clear whether this is caused by different understandings of the states (an “information mechanism”) and/or by different opinions of the states (a “preference mechanism”). Justifying privileging the valuations of those with the relevant health state experience solely because they are better informed is insufficient when their opinions differ. This study proposes a new framework to examine the effect of having health problems on health state valuation by distinguishing “within-dimensional” effects (which can be due to better information or due to differences in opinion) and “cross-dimensional” effects (which must be due to differences in opinion).

Suggested Citation

  • Elliott, Jack & Tsuchiya, Aki, 2022. "Do they just know more, or do they also have different preferences? An exploratory analysis of the effects of self-reporting serious health problems on health state valuation," Social Science & Medicine, Elsevier, vol. 315(C).
    • Handle: RePEc:eee:socmed:v:315:y:2022:i:c:s0277953622007808
    DOI: 10.1016/j.socscimed.2022.115474
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953622007808
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2022.115474?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Marcel F. Jonker & Arthur E. Attema & Bas Donkers & Elly A. Stolk & Matthijs M. Versteegh, 2017. "Are Health State Valuations from the General Public Biased? A Test of Health State Reference Dependency Using Self‐assessed Health and an Efficient Discrete Choice Experiment," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1534-1547, December.
    2. 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.
    3. Ogorevc, Marko & Murovec, Nika & Fernandez, Natacha Bolanos & Rupel, Valentina Prevolnik, 2019. "Questioning the differences between general public vs. patient based preferences towards EQ-5D-5L defined hypothetical health states," Health Policy, Elsevier, vol. 123(2), pages 166-172.
    4. P. Wang & E. Tai & J. Thumboo & Hubertus Vrijhoef & Nan Luo, 2014. "Does Diabetes Have an Impact on Health-State Utility? A Study of Asians in Singapore," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 7(3), pages 329-337, September.
    5. Bansback, Nick & Brazier, John & Tsuchiya, Aki & Anis, Aslam, 2012. "Using a discrete choice experiment to estimate health state utility values," Journal of Health Economics, Elsevier, vol. 31(1), pages 306-318.
    6. Julie Ratcliffe & John Brazier & Simon Palfreyman & Jonathan Michaels, 2007. "A comparison of patient and population values for health states in varicose veins patients," Health Economics, John Wiley & Sons, Ltd., vol. 16(4), pages 395-405, April.
    7. A. Pickard & Rima Tawk & James Shaw, 2013. "The effect of chronic conditions on stated preferences for health," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(4), pages 697-702, August.
    8. Caroline M. Vass & Stuart Wright & Michael Burton & Katherine Payne, 2018. "Scale Heterogeneity in Healthcare Discrete Choice Experiments: A Primer," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(2), pages 167-173, April.
    9. Brendan Mulhern & Richard Norman & Deborah J. Street & Rosalie Viney, 2019. "One Method, Many Methodological Choices: A Structured Review of Discrete-Choice Experiments for Health State Valuation," PharmacoEconomics, Springer, vol. 37(1), pages 29-43, January.
    10. Versteegh, M.M. & Brouwer, W.B.F., 2016. "Patient and general public preferences for health states: A call to reconsider current guidelines," Social Science & Medicine, Elsevier, vol. 165(C), pages 66-74.
    11. 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.
    12. Sahar Al Shabasy & Fatima Al Sayah & Maggie Abbassi & Samar Farid, 2022. "Determinants of Health Preferences Using Data from the Egyptian EQ-5D-5L Valuation Study," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 15(5), pages 589-598, September.
    13. Nancy J. Devlin & Koonal K. Shah & Yan Feng & Brendan Mulhern & Ben van Hout, 2018. "Valuing health‐related quality of life: An EQ‐5D‐5L value set for England," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 7-22, January.
    14. Matthew Kennedy-Martin & Bernhard Slaap & Michael Herdman & Mandy Reenen & Tessa Kennedy-Martin & Wolfgang Greiner & Jan Busschbach & Kristina S. Boye, 2020. "Which multi-attribute utility instruments are recommended for use in cost-utility analysis? A review of national health technology assessment (HTA) guidelines," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(8), pages 1245-1257, November.
    15. Rachel Mann & John Brazier & Aki Tsuchiya, 2009. "A comparison of patient and general population weightings of EQ‐5D dimensions," Health Economics, John Wiley & Sons, Ltd., vol. 18(3), pages 363-372, March.
    16. G. Ardine De Wit & Jan J.V. Busschbach & Frank Th. De Charro, 2000. "Sensitivity and perspective in the valuation of health status: whose values count?," Health Economics, John Wiley & Sons, Ltd., vol. 9(2), pages 109-126, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stöckel, Jannis & van Exel, Job & Brouwer, Werner B.F., 2023. "Adaptation in life satisfaction and self-assessed health to disability - Evidence from the UK," Social Science & Medicine, Elsevier, vol. 328(C).
    2. Ogorevc, Marko & Murovec, Nika & Fernandez, Natacha Bolanos & Rupel, Valentina Prevolnik, 2019. "Questioning the differences between general public vs. patient based preferences towards EQ-5D-5L defined hypothetical health states," Health Policy, Elsevier, vol. 123(2), pages 166-172.
    3. 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.
    4. Mina Bahrampour & Joshua Byrnes & Richard Norman & Paul A. Scuffham & Martin Downes, 2020. "Discrete choice experiments to generate utility values for multi-attribute utility instruments: a systematic review of methods," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 983-992, September.
    5. P. Wang & E. Tai & J. Thumboo & Hubertus Vrijhoef & Nan Luo, 2014. "Does Diabetes Have an Impact on Health-State Utility? A Study of Asians in Singapore," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 7(3), pages 329-337, September.
    6. Marcel F. Jonker & Richard Norman, 2022. "Not all respondents use a multiplicative utility function in choice experiments for health state valuations, which should be reflected in the elicitation format (or statistical analysis)," Health Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 431-439, February.
    7. Spencer, Anne & Rivero-Arias, Oliver & Wong, Ruth & Tsuchiya, Aki & Bleichrodt, Han & Edwards, Rhiannon Tudor & Norman, Richard & Lloyd, Andrew & Clarke, Philip, 2022. "The QALY at 50: One story many voices," Social Science & Medicine, Elsevier, vol. 296(C).
    8. Anna Nicolet & Antoinette D I van Asselt & Karin M Vermeulen & Paul F M Krabbe, 2020. "Value judgment of new medical treatments: Societal and patient perspectives to inform priority setting in The Netherlands," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-18, July.
    9. Floortje Nooten & Jan Busschbach & Michel Agthoven & Job Exel & Werner Brouwer, 2018. "What should we know about the person behind a TTO?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(9), pages 1207-1211, December.
    10. Ole Marten & Brendan Mulhern & Nick Bansback & Aki Tsuchiya, 2020. "Implausible States: Prevalence of EQ-5D-5L States in the General Population and Its Effect on Health State Valuation," Medical Decision Making, , vol. 40(6), pages 735-745, August.
    11. Koonal K. Shah & Juan Manuel Ramos-Goñi & Simone Kreimeier & Nancy J. Devlin, 2020. "An exploration of methods for obtaining 0 = dead anchors for latent scale EQ-5D-Y values," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 1091-1103, September.
    12. Michał Jakubczyk, 2023. "What if 0 is not equal to 0? Inter-personal health utilities anchoring using the largest health gains," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(7), pages 1217-1233, September.
    13. Sebastian Himmler & Job van Exel & Werner Brouwer, 2020. "Happy with Your Capabilities? Valuing ICECAP-O and ICECAP-A States Based on Experienced Utility Using Subjective Well-Being Data," Medical Decision Making, , vol. 40(4), pages 498-510, May.
    14. Edward J. D. Webb & John O’Dwyer & David Meads & Paul Kind & Penny Wright, 2020. "Transforming discrete choice experiment latent scale values for EQ-5D-3L using the visual analogue scale," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 787-800, July.
    15. Himmler, Sebastian & Jonker, Marcel & van Krugten, Frédérique & Hackert, Mariska & van Exel, Job & Brouwer, Werner, 2022. "Estimating an anchored utility tariff for the well-being of older people measure (WOOP) for the Netherlands," Social Science & Medicine, Elsevier, vol. 301(C).
    16. David J. Mott & Laura Ternent & Luke Vale, 2023. "Do preferences differ based on respondent experience of a health issue and its treatment? A case study using a public health intervention," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(3), pages 413-423, April.
    17. Kristina Burström & Fitsum Sebsibe Teni & Ulf-G. Gerdtham & Reiner Leidl & Gert Helgesson & Ola Rolfson & Martin Henriksson, 2020. "Experience-Based Swedish TTO and VAS Value Sets for EQ-5D-5L Health States," PharmacoEconomics, Springer, vol. 38(8), pages 839-856, August.
    18. Nils Gutacker & Thomas Patton & Koonal Shah & David Parkin, 2020. "Using EQ-5D Data to Measure Hospital Performance: Are General Population Values Distorting Patients’ Choices?," Medical Decision Making, , vol. 40(4), pages 511-521, May.
    19. Webb, Edward J.D. & Hess, Stephane, 2021. "Joint modelling of choice and rating data: Theory and examples," Journal of choice modelling, Elsevier, vol. 40(C).
    20. McDonald, Rebecca & Mullett, Timothy L. & Tsuchiya, Aki, 2020. "Understanding the composite dimensions of the EQ-5D: An experimental approach," Social Science & Medicine, Elsevier, vol. 265(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:315:y:2022:i:c:s0277953622007808. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.