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Using a Chatbot to Assess Hereditary Cancer Risk
- Source :
- JCO Clin Cancer Inform
- Publication Year :
- 2020
-
Abstract
- PURPOSE We 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. METHODS During 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. RESULTS We 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. CONCLUSION Our 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.
- Subjects :
- Adult
medicine.medical_specialty
business.industry
MEDLINE
General Medicine
ORIGINAL REPORTS
Middle Aged
computer.software_genre
Chatbot
United States
Family medicine
Neoplasms
medicine
Humans
Hereditary Cancer
Female
Genetic Predisposition to Disease
business
Medical History Taking
computer
Social Media
Family health history
Subjects
Details
- ISSN :
- 24734276
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- JCO clinical cancer informatics
- Accession number :
- edsair.doi.dedup.....0e511e499dc714606106ae20ec9fd414