ArticleJCO clinical cancer informatics2020
Using a Chatbot to Assess Hereditary Cancer Risk.
Article in JCO clinical cancer informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Chatbot Artificial Intelligence for Genetic Cancer Risk Assessment and Counseling: A Systematic Review and Meta-Analysis.JCO clinical cancer informatics · 2023Pooled it
- Pretest Video Education Versus Genetic Counseling for Patients With Prostate Cancer: ProGen, A Multisite Randomized Controlled Trial.JCO oncology practice · 2023Trial
- A Randomized Trial Comparing the Effectiveness of Pre-test Genetic Counseling Using an Artificial Intelligence Automated Chatbot and Traditional In-person Genetic Counseling in Women Newly Diagnosed with Breast Cancer.Annals of surgical oncology · 2023Trial
- Web-based tool for cancer family history collection: A prospective randomized controlled trial.Gynecologic oncology · 2023Trial
- Expanding access to cancer genetic care for cancer survivors: Rationale and design for a randomized controlled trial of a chatbot-based genetic education and testing.Contemporary clinical trials · 2026Article
- Views on a Chatbot for Cancer Family History Collection among Leaders of Hispanic and Pacific Islander Communities in Utah.Public health genomics · 2026Article
- Implementing a chatbot to promote hereditary breast & ovarian cancer genetic screening in women's health: identifying barriers and facilitators to screening adoption.BMC public health · 2025Article
- Preliminary Screening for Hereditary Breast and Ovarian Cancer Using an AI Chatbot as a Genetic Counselor: Clinical Study.Journal of medical Internet research · 2024Article
- Usability, Engagement, and Report Usefulness of Chatbot-Based Family Health History Data Collection: Mixed Methods Analysis.Journal of medical Internet research · 2024Article
- Transforming Health Care Through Chatbots for Medical History-Taking and Future Directions: Comprehensive Systematic Review.JMIR medical informatics · 2024Review
- Barriers and facilitators to the implementation of family cancer history collection tools in oncology clinical practices.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- The Use of Chatbots in Oncological Care: A Narrative Review.International journal of general medicine · 2023Review
- Barriers to family history collection among Spanish-speaking primary care patients: a BRIDGE qualitative study.PEC innovation · 2022Article
- Predicting breast cancer risk in a racially diverse, community-based sample of potentially high-risk women.Cancer medicine · 2022Article
- Association of Disparities in Family History and Family Cancer History in the Electronic Health Record With Sex, Race, Hispanic or Latino Ethnicity, and Language Preference in 2 Large US Health Care Systems.JAMA network open · 2022Article
- Analyzing the determinants to accept a virtual assistant and use cases among cancer patients: a mixed methods study.BMC health services research · 2022Article
- Automated Clinical Practice Guideline Recommendations for Hereditary Cancer Risk Using Chatbots and Ontologies: System Description.JMIR cancer · 2022Article
- Virtual conversational agents versus online forms: Patient experience and preferences for health data collection.Frontiers in digital health · 2022Article
- Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review.JMIR cancer · 2021Review
- Evaluation and comparison of hereditary Cancer guidelines in the population.Hereditary cancer in clinical practice · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
purposeWe developed a Web-based chatbot (ItRunsInMyFamily.com) to help individuals collect their family health history (FHx) and determine their risk for hereditary cancer. The purpose of the current study was to assess the characteristics of users and identify opportunities to improve the FHx collection tool.
methodsDuring Family Health History Month (November 2019) we launched an FHx campaign using social media advertisements to raise awareness about hereditary cancers and encourage individuals in the general population to use ItRunsInMyFamily to collect their FHx. Through this campaign, we were able to gather information about users and identify opportunities to improve the tool.
resultsWe reached 14,140 users in November 2019 through online marketing campaigns-Facebook, Google, previous ItRuns users, and Web site marketing. Of those, 3,204 completed the full FHx assessment and received risk recommendations. The campaign targeted women between age 40 and 60 years. Users came from 3,783 counties around the United States, 48 unique cancers were reported among probands, and 79 unique cancers were reported among family members, an average of two and a half cancers per family.
conclusionOur results demonstrate that it is possible to gather FHx information at the population level, with high levels of engagement and interest in the topic. There is room for future enhancements and improvements to ItRunsInMyFamily to broaden its reach and encourage individuals to learn about and record their health information.
Indexed as
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.