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Author Notes:

Brandon M. Welch, MS, PhD, Medical University of South Carolina, 135 Cannon St, Suite 405L, Charleston, SC 29425; e-mail: welchmbm@musc.edu

Conception and design: All authors Administrative support: Chanita Hughes-Halbert Collection and assembly of data: Brandon M. Welch, Jordon B. Ritchie, Heath Morrison Data analysis and interpretation: Brandon M. Welch, Jordon B. Ritchie, Heath Morrison, Chanita Hughes-Halbert, Joshua D. Schiffman Manuscript writing: All authors Final approval of manuscript: All authors Accountable for all aspects of the work: All authors

The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/cci/author-center. Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments). Brandon M. Welch Leadership: Doxy.me, ItRunsInMyFamily.com Stock and Other Ownership Interests: Doxy.me, ItRunsInMyFamily.com Travel, Accommodations, Expenses: Doxy.me, ItRunsInMyFamily.com Heath Morrison Employment: Doxy.me, ItRunsInMyFamily Leadership: Doxy.me Stock and Other Ownership Interests: Dokbot Consulting or Advisory Role: Doxy.me Joshua D. Schiffman Employment: PEEL Therapeutics Leadership: PEEL Therapeutics Stock and Other Ownership Interests: ItRunsInMyFamily.com, PEEL Therapeutics Honoraria: Affymetrix Consulting or Advisory Role: N-of-One, Fabric Genomics No other potential conflicts of interest were reported.

Subject:

Keywords:

  • Adult
  • Female
  • Genetic Predisposition to Disease
  • Humans
  • Medical History Taking
  • Middle Aged
  • Neoplasms
  • Social Media
  • United States

Using a chatbot to assess hereditary cancer risk

Tools:

Journal Title:

JCO Clinical Cancer Informatics

Volume:

Volume 4

Publisher:

, Pages 787-793

Type of Work:

Article | Final Publisher PDF

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.

Copyright information:

© 2020 by American Society of Clinical Oncology

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