IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v41y2021i1p74-88.html
   My bibliography  Save this article

Risk Ladder, Table, or Bulleted List? Identifying Formats That Effectively Communicate Personalized Risk and Risk Reduction Information for Multiple Diseases

Author

Listed:
  • Erika A. Waters

    (Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, Saint Louis, MO, USA)

  • Julia Maki

    (Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, Saint Louis, MO, USA)

  • Ying Liu

    (Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, Saint Louis, MO, USA)

  • Nicole Ackermann

    (Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, Saint Louis, MO, USA)

  • Chelsey R. Carter

    (Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, Saint Louis, MO, USA)

  • Hank Dart

    (Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, Saint Louis, MO, USA)

  • Deborah J. Bowen

    (University of Washington, Merced, CA, USA)

  • Linda D. Cameron

    (University of California, Merced, CA, USA)

  • Graham A. Colditz

    (Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, Saint Louis, MO, USA)

Abstract

Background Personalized medicine may increase the amount of probabilistic information patients encounter. Little guidance exists about communicating risk for multiple diseases simultaneously or about communicating how changes in risk factors affect risk (hereafter “risk reduction†). Purpose To determine how to communicate personalized risk and risk reduction information for up to 5 diseases associated with insufficient physical activity in a way laypeople can understand and that increases intentions. Methods We recruited 500 participants with 0.05). Sequential mediation analyses revealed a small beneficial indirect effect of risk ladder versus list on intentions through gist comprehension and then through perceived risk ( b IndirectEffect = 0.02, 95% confidence interval: 0.00, 0.04). Conclusion Risk ladders can communicate the gist meaning of multiple pieces of risk information to individuals from many sociodemographic backgrounds and with varying levels of facility with numbers and graphs.

Suggested Citation

  • Erika A. Waters & Julia Maki & Ying Liu & Nicole Ackermann & Chelsey R. Carter & Hank Dart & Deborah J. Bowen & Linda D. Cameron & Graham A. Colditz, 2021. "Risk Ladder, Table, or Bulleted List? Identifying Formats That Effectively Communicate Personalized Risk and Risk Reduction Information for Multiple Diseases," Medical Decision Making, , vol. 41(1), pages 74-88, January.
    • Handle: RePEc:sae:medema:v:41:y:2021:i:1:p:74-88
    DOI: 10.1177/0272989X20968070
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X20968070
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X20968070?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
    ---><---

    Citations

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


    Cited by:

    1. Andreas D. Meid & Lucas Wirbka, 2022. "Can Machine Learning from Real-World Data Support Drug Treatment Decisions? A Prediction Modeling Case for Direct Oral Anticoagulants," Medical Decision Making, , vol. 42(5), pages 587-598, July.
    2. Erika A. Waters & Jennifer M. Taber & Nicole Ackermann & Julia Maki & Amy M. McQueen & Laura D. Scherer, 2023. "Testing Explanations for Skepticism of Personalized Risk Information," Medical Decision Making, , vol. 43(4), pages 430-444, May.
    3. Lyndal J. Trevena & Carissa Bonner & Yasmina Okan & Ellen Peters & Wolfgang Gaissmaier & Paul K. J. Han & Elissa Ozanne & Danielle Timmermans & Brian J. Zikmund-Fisher, 2021. "Current Challenges When Using Numbers in Patient Decision Aids: Advanced Concepts," Medical Decision Making, , vol. 41(7), pages 834-847, October.

    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:41:y:2021:i:1:p:74-88. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.