IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v13y1993i1p59-63.html
   My bibliography  Save this article

Patients' and Physicians' Interpretations of Graphic Data Displays

Author

Listed:
  • Dennis J. Mazur
  • David H. Hickam

Abstract

To assess how patients' and physicians' treatment preferences are influenced by graphic data displays (five-year survival curves), a cross-sectional survey of patients, physicians, and medical students was done in a university-based Department of Veterans Affairs Medical Center. Participants in the study were 119 patients seen in a general medicine clinic, 43 physicians, and 67 medical students. Three five-year survival graphs were used. Each graph contained survival curves for two alternative unidentified treatments for an unidentified med ical condition. Graph 1 was a baseline graph used in previous studies of framing effects. Graph 2 contained one survival curve having an area under the curve that was 24% greater than that in graph 1. Graph 3 contained one survival curve that had an area under the curve that was 42% greater than that in graph 1. Respondents were asked to indicate which treatment they preferred for each graph and which aspects of the five-year survival curves most influenced their choices. Respondents did not receive numerical data about the dif ference between the areas under the two curves. Most patients did not change their pref erences across the three graphs. A significantly larger (p ≤ 0.0001) proportion of physicians and medical students than of patients changed their preferences across the three graphs. Patients appeared to use information contained in five-year survival graphs in a different way than physicians and medical students, minimizing or neglecting the importance of ele ments of the five-year survival curve other than immediate (year 0) and long-term (year 5) survival data when presented with curve areas of differing sizes, while the physicians reported using intermediate (year 2 to year 4) data as well as curve shape. Key words: cognitive biases; framing effect; informed consent; medical decision making; preference; five-year survival; life expectancy. (Med Decis Making 1993;13:59-63)

Suggested Citation

  • Dennis J. Mazur & David H. Hickam, 1993. "Patients' and Physicians' Interpretations of Graphic Data Displays," Medical Decision Making, , vol. 13(1), pages 59-63, February.
  • Handle: RePEc:sae:medema:v:13:y:1993:i:1:p:59-63
    DOI: 10.1177/0272989X9301300108
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X9301300108
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0272989X9301300108?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. Weinstein, N.D. & Klotz, M.L. & Sandman, P.M., 1988. "Optimistic biases in public perceptions of the risk from radon," American Journal of Public Health, American Public Health Association, vol. 78(7), pages 796-800.
    2. Slovic, Paul, 1972. "Psychological Study of Human Judgment: Implications for Investment Decision-Making," Journal of Finance, American Finance Association, vol. 27(4), pages 779-799, September.
    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. Brian J. Zikmund‐Fisher & Angela Fagerlin & Peter A. Ubel, 2005. "What's Time Got to Do with It? Inattention to Duration in Interpretation of Survival Graphs," Risk Analysis, John Wiley & Sons, vol. 25(3), pages 589-595, June.

    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. Lennart Sjöberg, 1998. "Worry and Risk Perception," Risk Analysis, John Wiley & Sons, vol. 18(1), pages 85-93, February.
    2. Leković Milјan, 2020. "Cognitive Biases as an Integral Part of Behavioral Finance," Economic Themes, Sciendo, vol. 58(1), pages 75-96, March.
    3. Zheng, Xiaotian & Zhou, Youcheng & Iqbal, Sajid, 2022. "Working capital management of SMEs in COVID-19: role of managerial personality traits and overconfidence behavior," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 439-451.
    4. Ravi Bapna & Paulo Goes & Alok Gupta, 2003. "Analysis and Design of Business-to-Consumer Online Auctions," Management Science, INFORMS, vol. 49(1), pages 85-101, January.
    5. Kathleen McColl & Marion Debin & Cecile Souty & Caroline Guerrisi & Clement Turbelin & Alessandra Falchi & Isabelle Bonmarin & Daniela Paolotti & Chinelo Obi & Jim Duggan & Yamir Moreno & Ania Wisniak, 2021. "Are People Optimistically Biased about the Risk of COVID-19 Infection? Lessons from the First Wave of the Pandemic in Europe," IJERPH, MDPI, vol. 19(1), pages 1-23, December.
    6. Guo, Xu & McAleer, Michael & Wong, Wing-Keung & Zhu, Lixing, 2017. "A Bayesian approach to excess volatility, short-term underreaction and long-term overreaction during financial crises," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 346-358.
    7. Day, Min-Yuh & Ni, Yensen, 2023. "The profitability of seasonal trading timing: Insights from energy-related markets," Energy Economics, Elsevier, vol. 128(C).
    8. Naira Hakobyan & Anna Khachatryan, 2018. "Structure of Person’s Psychological Resources in Emergency Situations," Proceedings of the 9th International RAIS Conference on Social Sciences and Humanities, April 4-5, 2018 012, Research Association for Interdisciplinary Studies.
    9. Ouhinou Amine & Elhachimi Zineb & Kartobi Eddine, 2023. "Study Of The Behavioural Determinants Of Investment In The Era Of The Covid-19 Pandemic Among Socially Responsible Investors In Morocco," Economic Archive, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 2 Year 20, pages 31-47.
    10. Bastian Schulz, 2023. "Behavioral Finance and how its Behavioral Biases Affect German Investors," ACTA VSFS, University of Finance and Administration, vol. 17(1), pages 39-59.
    11. Liran Einav & Amy Finkelstein & Iuliana Pascu & Mark R. Cullen, 2012. "How General Are Risk Preferences? Choices under Uncertainty in Different Domains," American Economic Review, American Economic Association, vol. 102(6), pages 2606-2638, October.
    12. Michael Greenberg & Karen Lowrie, 2012. "Daniel Kahneman: How We Think and Choose," Risk Analysis, John Wiley & Sons, vol. 32(7), pages 1113-1116, July.
    13. Sang Bin Lee & Kwang Jung Kim, 1993. "Does The October 1987 Crash Strengthen The Co‐Movements Among National Stock Markets?," Review of Financial Economics, John Wiley & Sons, vol. 3(1), pages 89-102, September.
    14. Holzmeister, Felix & Stefan, Matthias, 2019. "The Risk Elicitation Puzzle Revisited: Across-Methods (In)consistency?," OSF Preprints pj9u2, Center for Open Science.
    15. Henry Stott, 2006. "Cumulative prospect theory's functional menagerie," Journal of Risk and Uncertainty, Springer, vol. 32(2), pages 101-130, March.
    16. Cronqvist, Henrik & Makhija, Anil K. & Yonker, Scott E., 2012. "Behavioral consistency in corporate finance: CEO personal and corporate leverage," Journal of Financial Economics, Elsevier, vol. 103(1), pages 20-40.
    17. Edward L. Glaeser, 2004. "Psychology and the Market," American Economic Review, American Economic Association, vol. 94(2), pages 408-413, May.
    18. Bryan Howieson, 1991. "A Security Analyst's Action Recommendations: An Application of Recursive Partitioning to Modelling Judgement," Australian Journal of Management, Australian School of Business, vol. 16(2), pages 165-185, December.
    19. Amanda J. Dillard & Mick P. Couper & Brian J. Zikmund-Fisher, 2010. "Perceived Risk of Cancer and Patient Reports of Participation in Decisions about Screening: The DECISIONS Study," Medical Decision Making, , vol. 30(5_suppl), pages 96-105, September.
    20. Hsu, Yuan-Lin & Chow, Edward H., 2013. "The house money effect on investment risk taking: Evidence from Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 21(1), pages 1102-1115.

    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:13:y:1993:i:1:p:59-63. 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.