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Narratives that address affective forecasting errors reduce perceived barriers to colorectal cancer screening

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  • Dillard, Amanda J.
  • Fagerlin, Angela
  • Cin, Sonya Dal
  • Zikmund-Fisher, Brian J.
  • Ubel, Peter A.

Abstract

Narratives from similar others may be an effective way to increase important health behaviors. In this study, we used a narrative intervention to promote colorectal cancer screening. Researchers have suggested that people may overestimate barriers to colorectal cancer screening. We recruited participants from the US, ages 49-60 who had never previously been screened for colorectal cancer, to read an educational message about screening for the disease. One-half of participants were randomly assigned to also receive a narrative within the message (control participants did not receive a narrative). The narrative intervention was developed according to predictions of affective forecasting theory. Compared to participants who received only the educational message, participants who received the message along with a narrative reported that the barriers to screening would have less of an impact on a future screening experience. The narrative also increased risk perception for colorectal cancer and interest in screening in the next year.

Suggested Citation

  • Dillard, Amanda J. & Fagerlin, Angela & Cin, Sonya Dal & Zikmund-Fisher, Brian J. & Ubel, Peter A., 2010. "Narratives that address affective forecasting errors reduce perceived barriers to colorectal cancer screening," Social Science & Medicine, Elsevier, vol. 71(1), pages 45-52, July.
  • Handle: RePEc:eee:socmed:v:71:y:2010:i:1:p:45-52
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    2. Inge M Brokerhof & Jan Fekke Ybema & P Matthijs Bal, 2020. "Illness narratives and chronic patients’ sustainable employability: The impact of positive work stories," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-17, February.
    3. Seth Kaplan & Carolyn Winslow & Lydia Craig & Xue Lei & Carol Wong & Jill Bradley-Geist & Martin Biskup & Gregory Ruark, 2020. "“Worse than I anticipated” or “This isn’t so bad”?: The impact of affective forecasting accuracy on self-reported task performance," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-21, July.
    4. Victoria A. Shaffer & Brian J. Zikmund-Fisher, 2013. "All Stories Are Not Alike," Medical Decision Making, , vol. 33(1), pages 4-13, January.
    5. Haoyang Yan & Patricia J. Deldin & Stephanie K. Kukora & Cynthia Arslanian-Engoren & Kenneth Pituch & Brian J. Zikmund-Fisher, 2021. "Using Narratives to Correct Forecasting Errors in Pediatric Tracheostomy Decision Making," Medical Decision Making, , vol. 41(3), pages 305-316, April.
    6. Murphy, Pamela R., 2012. "Attitude, Machiavellianism and the rationalization of misreporting," Accounting, Organizations and Society, Elsevier, vol. 37(4), pages 242-259.
    7. J. S. Blumenthal-Barby & Heather Krieger, 2015. "Cognitive Biases and Heuristics in Medical Decision Making," Medical Decision Making, , vol. 35(4), pages 539-557, May.
    8. Michael Hoerger, 2012. "Coping strategies and immune neglect in affective forecasting: Direct evidence and key moderators," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 7(1), pages 86-96, January.
    9. Ramona Ludolph & Peter J. Schulz, 2018. "Debiasing Health-Related Judgments and Decision Making: A Systematic Review," Medical Decision Making, , vol. 38(1), pages 3-13, January.
    10. Jensen, Jakob D. & King, Andy J. & Carcioppolo, Nick & Krakow, Melinda & Samadder, N. Jewel & Morgan, Susan, 2014. "Comparing tailored and narrative worksite interventions at increasing colonoscopy adherence in adults 50–75: A randomized controlled trial," Social Science & Medicine, Elsevier, vol. 104(C), pages 31-40.

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