IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v43y2023i4p461-477.html
   My bibliography  Save this article

The Role of Confidence and Knowledge in Intentions to (Not) Seek Care for Hypertension: Evidence From a National Survey

Author

Listed:
  • Wändi Bruine de Bruin

    (Price School of Public Policy and Dornsife Department of Psychology, University of Southern California, Los Angeles CA, USA)

  • Yasmina Okan

    (Department of Communication, Pompeu Fabra University, Barcelona, Spain
    Centre for Decision Research, Leeds University Business School, Leeds, UK)

  • Tamar Krishnamurti

    (Center for Research on Health Care, Division of General Internal Medicine, University of Pittsburgh, Pittsburgh PA, USA)

  • Mark D. Huffman

    (Global Health Center and Cardiovascular Division, Washington University in St Louis MO, USA
    The George Institute for Global Health, Sydney, NSW, Australia)

Abstract

Background Hypertension (high blood pressure) is a modifiable risk factor for cardiovascular disease. However, patients may lack confidence in their understanding of what constitutes normal/healthy blood pressure, potentially affecting intentions to seek necessary care. The American Heart Association defines normal/healthy blood pressure as

Suggested Citation

  • Wändi Bruine de Bruin & Yasmina Okan & Tamar Krishnamurti & Mark D. Huffman, 2023. "The Role of Confidence and Knowledge in Intentions to (Not) Seek Care for Hypertension: Evidence From a National Survey," Medical Decision Making, , vol. 43(4), pages 461-477, May.
    • Handle: RePEc:sae:medema:v:43:y:2023:i:4:p:461-477
    DOI: 10.1177/0272989X221148196
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X221148196
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X221148196?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. Angela Fagerlin & Brian J. Zikmund-Fisher & Peter A. Ubel & Aleksandra Jankovic & Holly A. Derry & Dylan M. Smith, 2007. "Measuring Numeracy without a Math Test: Development of the Subjective Numeracy Scale," Medical Decision Making, , vol. 27(5), pages 672-680, September.
    2. Hall, Crystal C. & Ariss, Lynn & Todorov, Alexander, 2007. "The illusion of knowledge: When more information reduces accuracy and increases confidence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 103(2), pages 277-290, July.
    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. Aman, Hiroyuki & Motonishi, Taizo & Ogawa, Kazuhito & Omori, Kozo, 2024. "The effect of financial literacy on long-term recognition and short-term trade in mutual funds: Evidence from Japan," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 762-783.
    2. Weifeng Xu & Qingsong Ruan & Chang Liu, 2019. "Can the Famous University Experience of Top Managers Improve Corporate Performance? Evidence from China," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    3. Yaniv Hanoch & Talya Miron-Shatz & Mary Himmelstein, 2010. "Genetic testing and risk interpretation: How do women understand lifetime risk results?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 5(2), pages 116-123, April.
    4. repec:cup:judgdm:v:9:y:2014:i:2:p:152-158 is not listed on IDEAS
    5. Kausel, Edgar E. & Culbertson, Satoris S. & Madrid, Hector P., 2016. "Overconfidence in personnel selection: When and why unstructured interview information can hurt hiring decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 137(C), pages 27-44.
    6. Huls, Samare P.I. & de Bekker-Grob, Esther W., 2022. "Can healthcare choice be predicted using stated preference data? The role of model complexity in a discrete choice experiment about colorectal cancer screening," Social Science & Medicine, Elsevier, vol. 315(C).
    7. Ya-Hui Want, 2014. "Does Online Trading Affect Investors' Trading Intention?," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(5), pages 71-79.
    8. Glenn Boyle & Gerald Ward, 2018. "Do Better Informed Investors Always Do Better? A Buyback Puzzle," Economic Inquiry, Western Economic Association International, vol. 56(4), pages 2137-2157, October.
    9. Chavez, Daniel E. & Palma, Marco A. & Nayga Jr., Rodolfo M., 2017. "When does real become consequential in non-hypothetical choice experiments?," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266327, Southern Agricultural Economics Association.
    10. Avery, Derek R. & McKay, Patrick F. & Volpone, Sabrina D. & Malka, Ari, 2015. "Are companies beholden to bias? The impact of leader race on consumer purchasing behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 127(C), pages 85-102.
    11. Yuan Li & William J. Kettinger, 2022. "Testing the Relationship Between Information and Knowledge in Computer-Aided Decision-Making," Information Systems Frontiers, Springer, vol. 24(6), pages 1827-1843, December.
    12. Stortz, Laura & Lee, Yu Na & Von Massow, Michael, 2020. "Do Front-of-Package Warning Labels Reduce Demand for Foods ‘High In’ Saturated Fat, Sugar, or Sodium?," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304581, Agricultural and Applied Economics Association.
    13. Laura D. Scherer & Krithika Suresh & Carmen L. Lewis & Kirsten J. McCaffery & Jolyn Hersch & Joseph N. Cappella & Brad Morse & Channing E. Tate & Bridget S. Mosley & Sarah Schmiege & Marilyn M. Schapi, 2023. "Assessing and Understanding Reactance, Self-Exemption, Disbelief, Source Derogation and Information Conflict in Reaction to Overdiagnosis in Mammography Screening: Scale Development and Preliminary Va," Medical Decision Making, , vol. 43(7-8), pages 789-802, October.
    14. Aseervatham, Vijay & Jaspersen, Johannes G. & Richter, Andreas, 2015. "The affection effect in an incentive compatible insurance demand experiment," Economics Letters, Elsevier, vol. 131(C), pages 34-37.
    15. Gignac, Gilles E. & Stevens, Elizabeth M., 2024. "Attitude toward numbers: A better predictor of financial literacy and intelligence than need for cognition," Intelligence, Elsevier, vol. 103(C).
    16. Dominik M. Piehlmaier, 2022. "Overconfidence and the adoption of robo-advice: why overconfident investors drive the expansion of automated financial advice," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.
    17. Swait, J. & de Bekker-Grob, E.W., 2022. "A discrete choice model implementing gist-based categorization of alternatives, with applications to patient preferences for cancer screening and treatment," Journal of Health Economics, Elsevier, vol. 85(C).
    18. Wändi Bruine de Bruin & Paul Slovic, 2021. "Low numeracy is associated with poor financial well-being around the world," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-15, November.
    19. Talya Miron-Shatz & Yaniv Hanoch & Benjamin A. Katz & Glen M. Doniger & Elissa M. Ozanne, 2015. "Willingness to test for BRCA1/2 in high risk women: Influenced by risk perception and family experience, rather than by objective or subjective numeracy?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 10(4), pages 386-399, July.
    20. Andrea Kampmann & Burkhard Pedell, 2022. "Using Storytelling to Promote Organizational Resilience: An Experimental Study of Different Forms of Risk Communication," Schmalenbach Journal of Business Research, Springer, vol. 74(4), pages 695-725, December.
    21. Kevin E. Tiede & Wolfgang Gaissmaier, 2023. "How Do People Process Different Representations of Statistical Information? Insights into Cognitive Effort, Representational Inconsistencies, and Individual Differences," Medical Decision Making, , vol. 43(7-8), pages 803-820, 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:43:y:2023:i:4:p:461-477. 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.