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Efficacy of a Web-Based Intelligent Tutoring System for Communicating Genetic Risk of Breast Cancer

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Listed:
  • Christopher R. Wolfe
  • Valerie F. Reyna
  • Colin L. Widmer
  • Elizabeth M. Cedillos
  • Christopher R. Fisher
  • Priscila G. Brust-Renck
  • Audrey M. Weil

Abstract

Background . Many healthy women consider genetic testing for breast cancer risk, yet BRCA testing issues are complex. Objective . To determine whether an intelligent tutor, BRCA Gist, grounded in fuzzy-trace theory (FTT), increases gist comprehension and knowledge about genetic testing for breast cancer risk, improving decision making. Design . In 2 experiments, 410 healthy undergraduate women were randomly assigned to 1 of 3 groups: an online module using a Web-based tutoring system (BRCA Gist) that uses artificial intelligence technology, a second group read highly similar content from the National Cancer Institute (NCI) Web site, and a third that completed an unrelated tutorial. Intervention . BRCA Gist applied FTT and was designed to help participants develop gist comprehension of topics relevant to decisions about BRCA genetic testing, including how breast cancer spreads, inherited genetic mutations, and base rates. Measures . We measured content knowledge, gist comprehension of decision-relevant information, interest in testing, and genetic risk and testing judgments. Results . Control knowledge scores ranged from 54% to 56%, NCI improved significantly to 65% and 70%, and BRCA Gist improved significantly more to 75% and 77%, P

Suggested Citation

  • Christopher R. Wolfe & Valerie F. Reyna & Colin L. Widmer & Elizabeth M. Cedillos & Christopher R. Fisher & Priscila G. Brust-Renck & Audrey M. Weil, 2015. "Efficacy of a Web-Based Intelligent Tutoring System for Communicating Genetic Risk of Breast Cancer," Medical Decision Making, , vol. 35(1), pages 46-59, January.
  • Handle: RePEc:sae:medema:v:35:y:2015:i:1:p:46-59
    DOI: 10.1177/0272989X14535983
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    References listed on IDEAS

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    1. Gram, I.T. & Slenker, S.E., 1992. "Cancer anxiety and attitudes toward mammography among screening attenders, nonattenders, and women never invited," American Journal of Public Health, American Public Health Association, vol. 82(2), pages 249-251.
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    1. Reeson, Andrew & Mason, Claire & Sanderson, Todd & Bratanova, Alexandra & Hajkowicz, Stefan, 2016. "The VET era: equipping Australia’s workforce for the future digital economy," MPRA Paper 114022, University Library of Munich, Germany.
    2. Martin Michalowski & Szymon Wilk & Wojtek Michalowski & Dympna O’Sullivan & Silvia Bonaccio & Enea Parimbelli & Marc Carrier & Grégoire Le Gal & Stephen Kingwell & Mor Peleg, 2021. "A Health eLearning Ontology and Procedural Reasoning Approach for Developing Personalized Courses to Teach Patients about Their Medical Condition and Treatment," IJERPH, MDPI, vol. 18(14), pages 1-28, July.

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