ArticleMedical decision making : an international journal of the Society for Medical Decision Making2015
Efficacy of a web-based intelligent tutoring system for communicating genetic risk of breast cancer: a fuzzy-trace theory approach.
Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03511690 (Testing an Intelligent Tutoring System Intervention to Enhance Genetic Risk Assessment in Underserved Blacks and Latinas at Risk of Hereditary Breast Cancer), which is not on this map. Cited by 43 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Testing an Intelligent Tutoring System Intervention to Enhance Genetic Risk Assessment in Underserved Blacks and Latinas at Risk of Hereditary Breast Cancer
Who cites it
43 citing papers in PubMed, 104 citations in OpenAlex.
- Chatbot Intervention and Cancer Risk Knowledge in Adolescents and Young Adults With Cancer Predisposition: A Randomized Clinical Trial.JAMA network open · 2026Trial
- The effect of a supplementary ('Gist-based') information leaflet on colorectal cancer knowledge and screening intention: a randomized controlled trial.Journal of behavioral medicine · 2015Trial
- Impact of a randomized controlled educational trial to improve physician practice behaviors around screening for inherited breast cancer.Journal of general internal medicine · 2015Trial
- Article
- Development and feasibility testing of a conversational chatbot supporting genetic education and testing for hereditary cancer.Journal of community genetics · 2026Article
- Review
- Interaction of identity and beliefs with genetic literacy.American journal of human genetics · 2026Article
- A New Look at Vaccination Behaviors and Intentions: The Case of Influenza.Behavioral sciences (Basel, Switzerland) · 2025Article
- Artificial Intelligence in Oncology: A 10-Year ClinicalTrials.gov-Based Analysis Across the Cancer Control Continuum.Cancers · 2025Review
- iKNOW-Supporting the counseling of women with hereditary risk of breast and ovarian cancer with digital technologies: A randomized controlled trial.Genetics in medicine open · 2024Article
- Critical tests of fuzzy trace theory in brain and behavior: uncertainty across time, probability, and development.Cognitive, affective & behavioral neuroscience · 2023Article
- Supporting Health and Medical Decision Making: Findings and Insights from Fuzzy-Trace Theory.Medical decision making : an international journal of the Society for Medical Decision Making · 2022Article
- Adapting a Theoretically-Based intervention for underserved clinical populations at increased risk for hereditary Cancer: Lessons learned from thePreventive medicine reports · 2022Article
- Viruses, Vaccines, and COVID-19: Explaining and Improving Risky Decision-making.Journal of applied research in memory and cognition · 2021Article
- Fuzzy-Trace Theory and the Battle for the Gist in the Public Mind.Journal of applied research in memory and cognition · 2021Article
- Article
- Compliance with mass marketing solicitation: The role of verbatim and gist processing.Brain and behavior · 2021Article
- A Health eLearning Ontology and Procedural Reasoning Approach for Developing Personalized Courses to Teach Patients about Their Medical Condition and Treatment.International journal of environmental research and public health · 2021Article
- A scientific theory of gist communication and misinformation resistance, with implications for health, education, and policy.Proceedings of the National Academy of Sciences of the United States of America · 2021Review
- The impact of artificial intelligence on the current and future practice of clinical cancer genomics.Genetics research · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
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 < 0.0001. BRCA Gist scored higher on gist comprehension than NCI and control, P < 0.0001. Control genetic risk-assessment mean was 48% correct; BRCA Gist (61%) and NCI (56%) were significantly higher, P < 0.0001. BRCA Gist participants recommended less testing for women without risk factors (not good candidates; 24% and 19%) than controls (50%, both experiments) and NCI (32%), experiment 2, P < 0.0001. BRCA Gist testing interest was lower than in controls, P < 0.0001. LIMITATIONS: . BRCA Gist has not been tested with older women from diverse groups.
conclusions. Intelligent tutors, such as BRCA Gist, are scalable, cost-effective ways of helping people understand complex issues, improving decision making.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.