IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v38y2018i3p355-365.html

Strengths and Gaps in Physicians’ Risk Communication: A Scenario Study of the Influence of Numeracy on Cancer Screening Communication

Author

Listed:
  • Dafina Petrova

    (Mind, Brain, and Behavior Research Center, University of Granada, Granada, Spain)

  • Olga Kostopoulou

    (Department of Surgery and Cancer, Division of Surgery, Imperial College London, London, England, UK)

  • Brendan C. Delaney

    (Department of Surgery and Cancer, Division of Surgery, Imperial College London, London, England, UK)

  • Edward T. Cokely

    (National Institute for Risk & Resilience, and Department of Psychology, University of Oklahoma, Norman, OK, USA
    Max Planck Institute for Human Development, Germany)

  • Rocio Garcia-Retamero

    (Mind, Brain, and Behavior Research Center, University of Granada, Granada, Spain
    Max Planck Institute for Human Development, Germany)

Abstract

Objective. Many patients have low numeracy, which impedes their understanding of important information about health (e.g., benefits and harms of screening). We investigated whether physicians adapt their risk communication to accommodate the needs of patients with low numeracy, and how physicians’ own numeracy influences their understanding and communication of screening statistics. Methods. UK family physicians ( N = 151) read a description of a patient seeking advice on cancer screening. We manipulated the level of numeracy of the patient (low v. high v. unspecified) and measured physicians’ risk communication, recommendation to the patient, understanding of screening statistics, and numeracy. Results. Consistent with best practices, family physicians generally preferred to use visual aids rather than numbers when communicating information to a patient with low (v. high) numeracy. A substantial proportion of physicians (44%) offered high quality (i.e., complete and meaningful) risk communication to the patient. This was more often the case for physicians with higher (v. lower) numeracy who were more likely to mention mortality rates, OR=1.43 [1.10, 1.86], and harms from overdiagnosis, OR=1.44 [1.05, 1.98]. Physicians with higher numeracy were also more likely to understand that increased detection or survival rates do not demonstrate screening effectiveness, OR=1.61 [1.26, 2.06]. Conclusions. Most physicians know how to appropriately tailor risk communication for patients with low numeracy (i.e., with visual aids). However, physicians who themselves have low numeracy are likely to misunderstand the risks and unintentionally mislead patients by communicating incomplete information. High-quality risk communication and shared decision making can depend critically on factors that improve the risk literacy of physicians.

Suggested Citation

  • Dafina Petrova & Olga Kostopoulou & Brendan C. Delaney & Edward T. Cokely & Rocio Garcia-Retamero, 2018. "Strengths and Gaps in Physicians’ Risk Communication: A Scenario Study of the Influence of Numeracy on Cancer Screening Communication," Medical Decision Making, , vol. 38(3), pages 355-365, April.
  • Handle: RePEc:sae:medema:v:38:y:2018:i:3:p:355-365
    DOI: 10.1177/0272989X17729359
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X17729359
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0272989X17729359?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. Saima Ghazal & Edward T. Cokely & Rocio Garcia-Retamero, 2014. "Predicting biases in very highly educated samples: Numeracy and metacognition," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 9(1), pages 15-34, January.
    2. Edward T. Cokely & Colleen M. Kelley, 2009. "Cognitive abilities and superior decision making under risk: A protocol analysis and process model evaluation," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(1), pages 20-33, February.
    3. Garcia-Retamero, Rocio & Hoffrage, Ulrich, 2013. "Visual representation of statistical information improves diagnostic inferences in doctors and their patients," Social Science & Medicine, Elsevier, vol. 83(C), pages 27-33.
    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. Armstrong, David, 2023. "The social life of risk probabilities in medicine," Social Science & Medicine, Elsevier, vol. 323(C).
    2. repec:plo:pone00:0218821 is not listed 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. Ray Saadaoui Mallek & Mohamed Albaity, 2019. "Individual differences and cognitive reflection across gender and nationality the case of the United Arab Emirates," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1567965-156, January.
    2. André Mata & Tiago Almeida, 2014. "Using metacognitive cues to infer others' thinking," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 9(4), pages 349-359, July.
    3. Mondal, Supratik & Traczyk, Jakub, 2023. "Conditionality of adaptiveness: Investigating the relationship between numeracy and adaptive behavior," Journal of Economic Psychology, Elsevier, vol. 96(C).
    4. Nikola Erceg & Zvonimir Galić & Mitja RužojÄ ić, 2020. "A reflection on cognitive reflection – testing convergent/divergent validity of two measures of cognitive reflection," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(5), pages 741-755, September.
    5. Philip W. S. Newall, 2016. "Downside financial risk is misunderstood," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 11(5), pages 416-423, September.
    6. Jakub Traczyk & Agata Sobkow & Kamil Fulawka & Jakub Kus & Dafina Petrova & Rocio Garcia-Retamero, 2018. "Numerate decision makers don't use more effortful strategies unless it pays: A process tracing investigation of skilled and adaptive strategy selection in risky decision making," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(4), pages 372-381, July.
    7. Sobkow, Agata & Olszewska, Angelika & Traczyk, Jakub, 2020. "Multiple numeric competencies predict decision outcomes beyond fluid intelligence and cognitive reflection," Intelligence, Elsevier, vol. 80(C).
    8. Philip Millroth & HÃ¥kan Nilsson & Peter Juslin, 2019. "The decision paradoxes motivating Prospect Theory: The prevalence of the paradoxes increases with numerical ability," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(4), pages 513-533, July.
    9. Erceg, Nikola & Galić, Zvonimir & Bubić, Andreja, 2022. "Normative responding on cognitive bias tasks: Some evidence for a weak rationality factor that is mostly explained by numeracy and actively open-minded thinking," Intelligence, Elsevier, vol. 90(C).
    10. Muhammad Waqas & Alishba Hania & Farzan Yahya & Iqra Malik, 2023. "Enhancing Cybersecurity: The Crucial Role of Self-Regulation, Information Processing, and Financial Knowledge in Combating Phishing Attacks," SAGE Open, , vol. 13(4), pages 21582440231, December.
    11. Todd McElroy & David L. Dickinson & Irwin P. Levin, 2019. "Thinking About Decisions: An Integrative Approach of Person and Task Factors," Working Papers 19-04, Department of Economics, Appalachian State University.
    12. Jinrui Pan & Jason Shachat & Sijia Wei, 2020. "Cognitive reflection and economic order quantity inventory management: An experimental investigation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 998-1009, September.
    13. Antoni Bosch-Domènech & Pablo Brañas-Garza & Antonio M. Espín, 2013. "Fetal testosterone (2D:4D) as predictor of cognitive reflection," Economics Working Papers 1371, Department of Economics and Business, Universitat Pompeu Fabra.
    14. Corgnet, Brice & DeSantis, Mark & Porter, David, 2021. "Information aggregation and the cognitive make-up of market participants," European Economic Review, Elsevier, vol. 133(C).
    15. Darriet, Elisa & Guille, Marianne & Vergnaud, Jean-Christophe & Shimizu, Mariko, 2020. "Money illusion, financial literacy and numeracy: Experimental evidence," Journal of Economic Psychology, Elsevier, vol. 76(C).
    16. Julian N. Marewski & Katja Mehlhorn, 2011. "Using the ACT-R architecture to specify 39 quantitative process models of decision making," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(6), pages 439-519, August.
    17. Joshua Zonca & Giorgio Coricelli & Luca Polonio, 2020. "Gaze patterns disclose the link between cognitive reflection and sophistication in strategic interaction," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(2), pages 230-245, March.
    18. Michelle S. Segovia & Marco A. Palma & Jayson L. Lusk & Andreas C. Drichoutis, 2025. "Visual formats in risk preference elicitation: What catches the eye?," Journal of Risk and Uncertainty, Springer, vol. 70(3), pages 275-303, June.
    19. James Alm & Lilith Burgstaller & Arrita Domi & Amanda März & Matthias Kasper, 2023. "Nudges, Boosts, and Sludge: Using New Behavioral Approaches to Improve Tax Compliance," Economies, MDPI, vol. 11(9), pages 1-22, September.
    20. Rocio Garcia-Retamero & Allen Andrade & Joseph Sharit & Jorge G. Ruiz, 2015. "Is Patients’ Numeracy Related to Physical and Mental Health?," Medical Decision Making, , vol. 35(4), pages 501-511, May.

    More about this item

    Keywords

    ;
    ;
    ;

    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:38:y:2018:i:3:p:355-365. 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.