Using a Chatbot to Assess Hereditary Cancer Risk
Brandon M Welch1, Caitlin G Allen2, Jordon B Ritchie1
1Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC.
JCO Clinical Cancer Informatics
|September 8, 2020
Summary
A web-based chatbot successfully collected family health history (FHx) from thousands of users, identifying hereditary cancer risks. This demonstrates the potential for population-level FHx data collection and highlights areas for tool improvement.
Area of Science:
- Genomic Medicine
- Public Health Informatics
- Cancer Prevention
Background:
- Family health history (FHx) is crucial for identifying hereditary cancer risks.
- Web-based tools can facilitate FHx collection and risk assessment.
- Engaging the general population in FHx collection is a public health priority.
Purpose of the Study:
- To assess the characteristics of users interacting with a web-based FHx collection tool.
- To identify opportunities for improving a chatbot designed for hereditary cancer risk assessment.
- To evaluate the feasibility of population-level FHx data gathering.
Main Methods:
- A web-based chatbot (ItRunsInMyFamily.com) was developed for FHx collection and hereditary cancer risk assessment.
- An online marketing campaign, including social media, was employed during November 2019 (Family Health History Month).
- User data from 3,204 completed assessments were analyzed.
Main Results:
- The campaign reached 14,140 users, with 3,204 completing the FHx assessment.
- The target demographic was women aged 40-60, with users from 3,783 US counties.
- An average of 2.5 cancers per family were reported, with 48 and 79 unique cancers among probands and family members, respectively.
Conclusions:
- Population-level FHx data collection is feasible with high user engagement.
- The ItRunsInMyFamily tool shows promise in raising awareness and collecting health information.
- Future enhancements can broaden the tool's reach and impact on hereditary cancer risk awareness.
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