Literature DB >> 15204824

Tailored computer-based cancer risk communication: correcting colorectal cancer risk perception.

Karen M Emmons1, Mei Wong, Elaine Puleo, Neil Weinstein, Robert Fletcher, Graham Colditz.   

Abstract

We developed a computer-based tailored risk presentation and risk communication aid for colorectal cancer prevention. To evaluate the effectiveness of the tool, we randomized 353 participants to receive different risk presentation formats (relative plus absolute risk vs. absolute risk only vs. none) and different levels of engagement with the risk communication (active vs. passive). Findings suggest the tool to be useful for correcting misperceptions about personal risk. Of those with inaccurate risk perception at baseline, more than half of the participants in intervention groups had corrected risk perceptions at post-test, compared to only 12% in the control group.

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Year:  2004        PMID: 15204824     DOI: 10.1080/10810730490425295

Source DB:  PubMed          Journal:  J Health Commun        ISSN: 1081-0730


  37 in total

Review 1.  Communicating genetic risk information for common disorders in the era of genomic medicine.

Authors:  Denise M Lautenbach; Kurt D Christensen; Jeffrey A Sparks; Robert C Green
Journal:  Annu Rev Genomics Hum Genet       Date:  2013       Impact factor: 8.929

Review 2.  Risk as an attribute in discrete choice experiments: a systematic review of the literature.

Authors:  Mark Harrison; Dan Rigby; Caroline Vass; Terry Flynn; Jordan Louviere; Katherine Payne
Journal:  Patient       Date:  2014       Impact factor: 3.883

3.  Colorectal cancer risk information presented by a nonphysician assistant does not increase screening rates.

Authors:  Thad Wilkins; Ralph A Gillies; Pina Panchal; Mittal Patel; Peter Warren; Robert R Schade
Journal:  Can Fam Physician       Date:  2014-08       Impact factor: 3.275

4.  Sociopsychological tailoring to address colorectal cancer screening disparities: a randomized controlled trial.

Authors:  Anthony Jerant; Richard L Kravitz; Nancy Sohler; Kevin Fiscella; Raquel L Romero; Bennett Parnes; Daniel J Tancredi; Sergio Aguilar-Gaxiola; Christina Slee; Simon Dvorak; Charles Turner; Andrew Hudnut; Francisco Prieto; Peter Franks
Journal:  Ann Fam Med       Date:  2014 May-Jun       Impact factor: 5.166

5.  Reactions to online colorectal cancer risk estimates among a nationally representative sample of adults who have never been screened.

Authors:  Isaac M Lipkus; Constance M Johnson; Sathya Amarasekara; Wei Pan; John A Updegraff
Journal:  J Behav Med       Date:  2017-11-15

Review 6.  Risk assessment models to estimate cancer probabilities.

Authors:  Constance M Johnson; Derek Smolenski
Journal:  Curr Oncol Rep       Date:  2007-11       Impact factor: 5.075

7.  The impact of personalized risk feedback on Mexican Americans' perceived risk for heart disease and diabetes.

Authors:  Shelly R Hovick; Anna V Wilkinson; Sato Ashida; Hendrik D de Heer; Laura M Koehly
Journal:  Health Educ Res       Date:  2014-01-24

8.  Impact of delivery models on understanding genomic risk for type 2 diabetes.

Authors:  S B Haga; W T Barry; R Mills; L Svetkey; S Suchindran; H F Willard; G S Ginsburg
Journal:  Public Health Genomics       Date:  2014-02-27       Impact factor: 2.000

Review 9.  Anchoring-and-adjustment bias in communication of disease risk.

Authors:  Ibrahim Senay; Kimberly A Kaphingst
Journal:  Med Decis Making       Date:  2009-03-11       Impact factor: 2.583

10.  Association of health beliefs and colonoscopy use among survivors of colorectal cancer.

Authors:  Talya Salz; Noel T Brewer; Robert S Sandler; Bryan J Weiner; Christopher F Martin; Morris Weinberger
Journal:  J Cancer Surviv       Date:  2009-09-16       Impact factor: 4.442

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