IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v23y2003i5p422-434.html
   My bibliography  Save this article

Effect of Assessment Method on the Discrepancy between Judgments of Health Disorders People have and do not have: A Web Study

Author

Listed:
  • Jonathan Baron
  • David A. Asch
  • Angela Fagerlin
  • Christopher Jepson
  • George Loewenstein
  • Jason Riis
  • Margaret G. Stineman
  • Peter A. Ubel

Abstract

Three experiments on the World Wide Web asked subjects to rate the severity of common health disorders such as acne or arthritis. People who had a disorder (“Haves†) tended to rate it as less severe than people who did not have it (“Not-haves†). Two explanations of this Have versus Not-have discrepancy were rejected. By one account, people change their reference point when they rate a disorder that they have. More precise reference points would, on this account, reduce the discrepancy, but, if anything, the discrepancy was larger. By another account, people who do not have the disorder focus on attributes that are most affected by it, and the discrepancy should decrease when people make ratings on several attributes. Again, if anything, the discrepancy increased when ratings were on separate attributes (combined by a weighted average). The discrepancy varied in size and direction across disorders. Subjects also thought that they would be less affected than others.

Suggested Citation

  • Jonathan Baron & David A. Asch & Angela Fagerlin & Christopher Jepson & George Loewenstein & Jason Riis & Margaret G. Stineman & Peter A. Ubel, 2003. "Effect of Assessment Method on the Discrepancy between Judgments of Health Disorders People have and do not have: A Web Study," Medical Decision Making, , vol. 23(5), pages 422-434, September.
  • Handle: RePEc:sae:medema:v:23:y:2003:i:5:p:422-434
    DOI: 10.1177/0272989X03257277
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X03257277
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0272989X03257277?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
    ---><---

    References listed on IDEAS

    as
    1. Keeney,Ralph L. & Raiffa,Howard, 1993. "Decisions with Multiple Objectives," Cambridge Books, Cambridge University Press, number 9780521438834.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Paul Dolan & Daniel Kahneman, 2008. "Interpretations Of Utility And Their Implications For The Valuation Of Health," Economic Journal, Royal Economic Society, vol. 118(525), pages 215-234, January.
    2. Schünemann, Johannes & Strulik, Holger & Trimborn, Timo, 2017. "Going from bad to worse: Adaptation to poor health health spending, longevity, and the value of life," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 130-146.
    3. Marsha Wittink & Mark Cary & Thomas TenHave & Jonathan Baron & Joseph Gallo, 2010. "Towards Patient-Centered Care for Depression," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 3(3), pages 145-157, September.
    4. Perez Truglia, Ricardo Nicolas & Bottan, Nicolas Luis, 2008. "Deconstructing the Hedonic Treadmill: Is Happiness Autoregressive?," MPRA Paper 20340, University Library of Munich, Germany.
    5. 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.
    6. Dillard, Amanda J. & Meier, Brian P., 2023. "Getting COVID-19: Anticipated negative emotions are worse than experienced negative emotions," Social Science & Medicine, Elsevier, vol. 320(C).
    7. Mukuria, Clara & Brazier, John, 2013. "Valuing the EQ-5D and the SF-6D health states using subjective well-being: A secondary analysis of patient data," Social Science & Medicine, Elsevier, vol. 77(C), pages 97-105.
    8. Bottan, Nicolas Luis & Perez Truglia, Ricardo, 2011. "Deconstructing the hedonic treadmill: Is happiness autoregressive?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(3), pages 224-236, May.
    9. 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).
    10. Cubi-Molla, P. & Jofre-Bonet, M. & Serra-Sastre, V., 2013. "Adaptation to Health States: A Micro-Econometric Approach," Working Papers 13/02, Department of Economics, City University London.
    11. Peter A. Ubel & George Loewenstein, 2008. "Pain and Suffering Awards: They Shouldn't Be (Just) about Pain and Suffering," The Journal of Legal Studies, University of Chicago Press, vol. 37(S2), pages 195-216, June.
    12. Tracy Lieu & G. Ray & Ismael Ortega-Sanchez & Ken Kleinman & Donna Rusinak, 2009. "Willingness to Pay for a QALY Based on Community Member and Patient Preferences for Temporary Health States Associated with Herpes Zoster," PharmacoEconomics, Springer, vol. 27(12), pages 1005-1016, December.
    13. Tracy Lieu & Ismael Ortega-Sanchez & G. Ray & Donna Rusinak & W. Yih & Peter Choo & Irene Shui & Ken Kleinman & Rafael Harpaz & Lisa Prosser, 2008. "Community and Patient Values for Preventing Herpes Zoster," PharmacoEconomics, Springer, vol. 26(3), pages 235-249, March.
    14. Octave Jokung & Serge Macé, 2013. "Long-term health investment when people underestimate their adaptation to old age-related health problems," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(6), pages 1003-1013, December.

    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. KARRI PASANEN & MIKKO KURTTILA & JOUNI PYKÄlÄINEN & JYRKI KANGAS & PEKKA LESKINEN, 2005. "Mesta — Non-Industrial Private Forest Owners' Decision-Support Environment For The Evaluation Of Alternative Forest Plans Over The Internet," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 601-620.
    2. Gerd Gigerenzer, 1997. "Bounded Rationality: Models of Fast and Frugal Inference," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 133(II), pages 201-218, June.
    3. Shuang Liu & Kirsten Maclean & Cathy Robinson, 2019. "A cost-effective framework to prioritise stakeholder participation options," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 221-241, November.
    4. Khaled, Oumaima & Minoux, Michel & Mousseau, Vincent & Michel, Stéphane & Ceugniet, Xavier, 2018. "A multi-criteria repair/recovery framework for the tail assignment problem in airlines," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 137-151.
    5. Zhang, Tianyu & Dong, Peiwu & Zeng, Yongchao & Ju, Yanbing, 2022. "Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model," Journal of Business Research, Elsevier, vol. 139(C), pages 90-105.
    6. Smith, Chris M. & Shaw, Duncan, 2019. "The characteristics of problem structuring methods: A literature review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 403-416.
    7. Anirban Basu & William Dale & Arthur Elstein & David Meltzer, 2009. "A linear index for predicting joint health‐states utilities from single health‐states utilities," Health Economics, John Wiley & Sons, Ltd., vol. 18(4), pages 403-419, April.
    8. Chorus, Caspar & van Cranenburgh, Sander & Daniel, Aemiro Melkamu & Sandorf, Erlend Dancke & Sobhani, Anae & Szép, Teodóra, 2021. "Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence," Mathematical Social Sciences, Elsevier, vol. 109(C), pages 28-44.
    9. Wu, Desheng (Dash) & Lee, Chi-Guhn, 2010. "Stochastic DEA with ordinal data applied to a multi-attribute pricing problem," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1679-1688, December.
    10. Perrels, Adriaan & Molarius, Riitta & Porthin, Markus & Rosqvist, Tony, 2008. "Testing a Flood Protection Case by Means of a Group Decision Support System," Discussion Papers 449, VATT Institute for Economic Research.
    11. Fernandez del Pozo, J. A. & Bielza, C. & Gomez, M., 2005. "A list-based compact representation for large decision tables management," European Journal of Operational Research, Elsevier, vol. 160(3), pages 638-662, February.
    12. Mario Fedrizzi & Michele Fedrizzi & R. A. Marques Pereira, 2007. "Consensus Modelling In Group Decision Making: Dynamical Approach Based On Fuzzy Preferences," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 219-237.
    13. repec:cup:judgdm:v:17:y:2022:i:6:p:1255-1286 is not listed on IDEAS
    14. Ahrens, Heinz & Kantelhardt, Jochen, 2007. "Integrating Ecological And Economic Aspects In Land Use Concepts: Some Conclusions From A Regional Land Use Concept For Bayerisches Donauried," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7986, Agricultural Economics Society.
    15. Baudry, Gino & Delrue, Florian & Legrand, Jack & Pruvost, Jérémy & Vallée, Thomas, 2017. "The challenge of measuring biofuel sustainability: A stakeholder-driven approach applied to the French case," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 933-947.
    16. Ed Cook & Jason R. W. Merrick, 2023. "Technology Implementation at Capital One," Interfaces, INFORMS, vol. 53(3), pages 178-191, May.
    17. Gemmo, Irina & Browne, Mark J. & Gründl, Helmut, 2017. "Transparency aversion and insurance market equilibria," ICIR Working Paper Series 25/17, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    18. J-B Yang & D-L Xu & X Xie & A K Maddulapalli, 2011. "Multicriteria evidential reasoning decision modelling and analysis—prioritizing voices of customer," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(9), pages 1638-1654, September.
    19. Nikolaos Argyris & Alec Morton & José Rui Figueira, 2014. "CUT: A Multicriteria Approach for Concavifiable Preferences," Operations Research, INFORMS, vol. 62(3), pages 633-642, June.
    20. Churee Theetranont & Peter Haddawy & Donyaprueth Krairit, 2007. "Integrating Visualization And Multi-Attribute Utility Theory For Online Product Selection," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 6(04), pages 723-750.
    21. Lupo, Toni, 2015. "Fuzzy ServPerf model combined with ELECTRE III to comparatively evaluate service quality of international airports in Sicily," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 249-259.

    More about this item

    Statistics

    Access and download statistics

    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:sae:medema:v:23:y:2003:i:5:p:422-434. 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: SAGE Publications (email available below). General contact details of provider: .

    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.