Literature DB >> 33492238

Adherence of Internet-Based Cancer Risk Assessment Tools to Best Practices in Risk Communication: Content Analysis.

Erika A Waters1, Jeremy L Foust2, Laura D Scherer3, Amy McQueen1, Jennifer M Taber2.   

Abstract

BACKGROUND: Internet-based risk assessment tools offer a potential avenue for people to learn about their cancer risk and adopt risk-reducing behaviors. However, little is known about whether internet-based risk assessment tools adhere to scientific evidence for what constitutes good risk communication strategies. Furthermore, their quality may vary from a user experience perspective.
OBJECTIVE: This study aims to understand the extent to which current best practices in risk communication have been applied to internet-based cancer risk assessment tools.
METHODS: We conducted a search on August 6, 2019, to identify websites that provided personalized assessments of cancer risk or the likelihood of developing cancer. Each website (N=39) was coded according to standardized criteria and focused on 3 categories: general website characteristics, accessibility and credibility, and risk communication formats and strategies.
RESULTS: Some best practices in risk communication were more frequently adhered to by websites. First, we found that undefined medical terminology was widespread, impeding comprehension for those with limited health literacy. For example, 90% (35/39) of websites included technical language that the general public may find difficult to understand, yet only 23% (9/39) indicated that medical professionals were their intended audience. Second, websites lacked sufficient information for users to determine the credibility of the risk assessment, making it difficult to judge the scientific validity of their risk. For instance, only 59% (23/39) of websites referenced the scientific model used to calculate the user's cancer risk. Third, practices known to foster unbiased risk comprehension, such as adding qualitative labels to quantitative numbers, were used by only 15% (6/39) of websites.
CONCLUSIONS: Limitations in risk communication strategies used by internet-based cancer risk assessment tools were common. By observing best practices, these tools could limit confusion and cultivate understanding to help people make informed decisions and motivate people to engage in risk-reducing behaviors. ©Erika A Waters, Jeremy L Foust, Laura D Scherer, Amy McQueen, Jennifer M Taber. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 25.01.2021.

Entities:  

Keywords:  health communication; internet; personalized medicine; risk assessment

Mesh:

Year:  2021        PMID: 33492238      PMCID: PMC7870349     

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  45 in total

1.  The effect of numerical statements of risk on trust and comfort with hypothetical physician risk communication.

Authors:  Andrea D Gurmankin; Jonathan Baron; Katrina Armstrong
Journal:  Med Decis Making       Date:  2004 May-Jun       Impact factor: 2.583

Review 2.  Numeric, verbal, and visual formats of conveying health risks: suggested best practices and future recommendations.

Authors:  Isaac M Lipkus
Journal:  Med Decis Making       Date:  2007-09-14       Impact factor: 2.583

Review 3.  Risk communication in clinical practice: putting cancer in context.

Authors:  L M Schwartz; S Woloshin; H G Welch
Journal:  J Natl Cancer Inst Monogr       Date:  1999

4.  Online Health Information Seeking Among US Adults: Measuring Progress Toward a Healthy People 2020 Objective.

Authors:  Lila J Finney Rutten; Kelly D Blake; Alexandra J Greenberg-Worisek; Summer V Allen; Richard P Moser; Bradford W Hesse
Journal:  Public Health Rep       Date:  2019-09-12       Impact factor: 2.792

5.  On the elicitation of preferences for alternative therapies.

Authors:  B J McNeil; S G Pauker; H C Sox; A Tversky
Journal:  N Engl J Med       Date:  1982-05-27       Impact factor: 91.245

6.  Colon cancer: risk perceptions and risk communication.

Authors:  Neil D Weinstein; Kathy Atwood; Elaine Puleo; Robert Fletcher; Graham Colditz; Karen M Emmons
Journal:  J Health Commun       Date:  2004 Jan-Feb

7.  A test of numeric formats for communicating risk probabilities.

Authors:  Cara L Cuite; Neil D Weinstein; Karen Emmons; Graham Colditz
Journal:  Med Decis Making       Date:  2008-05-13       Impact factor: 2.583

8.  Making sense of cancer risk calculators on the web.

Authors:  Andrea Gurmankin Levy; Seema S Sonnad; Jibby E Kurichi; Melani Sherman; Katrina Armstrong
Journal:  J Gen Intern Med       Date:  2008-01-11       Impact factor: 5.128

9.  Combining risk communication strategies to simultaneously convey the risks of four diseases associated with physical inactivity to socio-demographically diverse populations.

Authors:  Eva Janssen; Robert A C Ruiter; Erika A Waters
Journal:  J Behav Med       Date:  2017-10-13

10.  Translating Cancer Risk Prediction Models into Personalized Cancer Risk Assessment Tools: Stumbling Blocks and Strategies for Success.

Authors:  Erika A Waters; Jennifer M Taber; Amy McQueen; Ashley J Housten; Jamie L Studts; Laura D Scherer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-10-12       Impact factor: 4.254

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  1 in total

1.  Using a computer-tailored COPD screening assessment to promote advice-seeking behaviors.

Authors:  Samantha R Paige; Hattie Wilczewski; Thomas B Casale; Brian E Bunnell
Journal:  World Allergy Organ J       Date:  2021-11-05       Impact factor: 4.084

  1 in total

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