TY  - JOUR
AU  - Siglen, Elen
AU  - Vetti, Hildegunn Høberg
AU  - Augestad, Mirjam
AU  - Steen, Vidar M
AU  - Lunde, Åshild
AU  - Bjorvatn, Cathrine
PY  - 2023
DA  - 2023/9/1
TI  - Evaluation of the Rosa Chatbot Providing Genetic Information to Patients at Risk of Hereditary Breast and Ovarian Cancer: Qualitative Interview Study
JO  - J Med Internet Res
SP  - e46571
VL  - 25
KW  - chatbot
KW  - chatbots
KW  - genetic
KW  - trust
KW  - acceptability
KW  - perception
KW  - perceived
KW  - genetic counseling
KW  - hybrid health care
KW  - digital health tool
KW  - digital information tool
KW  - digital health technology
KW  - virtual assistant
KW  - hereditary breast and ovarian cancer
KW  - hereditary
KW  - genetic testing
KW  - technology
KW  - genetic clinic
KW  - digital tool
KW  - ovarian cancer
KW  - breast cancer
KW  - information retrieval
KW  - women’s health
KW  - breast
KW  - ovarian
KW  - cancer
KW  - oncology
KW  - mobile phone
AB  - Background: Genetic testing has become an integrated part of health care for patients with breast or ovarian cancer, and the increasing demand for genetic testing is accompanied by an increasing need for easy access to reliable genetic information for patients. Therefore, we developed a chatbot app (Rosa) that is able to perform humanlike digital conversations about genetic BRCA testing. Objective: Before implementing this new information service in daily clinical practice, we wanted to explore 2 aspects of chatbot use: the perceived utility and trust in chatbot technology among healthy patients at risk of hereditary cancer and how interaction with a chatbot regarding sensitive information about hereditary cancer influences patients. Methods: Overall, 175 healthy individuals at risk of hereditary breast and ovarian cancer were invited to test the chatbot, Rosa, before and after genetic counseling. To secure a varied sample, participants were recruited from all cancer genetic clinics in Norway, and the selection was based on age, gender, and risk of having a BRCA pathogenic variant. Among the 34.9% (61/175) of participants who consented for individual interview, a selected subgroup (16/61, 26%) shared their experience through in-depth interviews via video. The semistructured interviews covered the following topics: usability, perceived usefulness, trust in the information received via the chatbot, how Rosa influenced the user, and thoughts about future use of digital tools in health care. The transcripts were analyzed using the stepwise-deductive inductive approach. Results: The overall finding was that the chatbot was very welcomed by the participants. They appreciated the 24/7 availability wherever they were and the possibility to use it to prepare for genetic counseling and to repeat and ask questions about what had been said afterward. As Rosa was created by health care professionals, they also valued the information they received as being medically correct. Rosa was referred to as being better than Google because it provided specific and reliable answers to their questions. The findings were summed up in 3 concepts: “Anytime, anywhere”; “In addition, not instead”; and “Trustworthy and true.” All participants (16/16) denied increased worry after reading about genetic testing and hereditary breast and ovarian cancer in Rosa. Conclusions: Our results indicate that a genetic information chatbot has the potential to contribute to easy access to uniform information for patients at risk of hereditary breast and ovarian cancer, regardless of geographical location. The 24/7 availability of quality-assured information, tailored to the specific situation, had a reassuring effect on our participants. It was consistent across concepts that Rosa was a tool for preparation and repetition; however, none of the participants (0/16) supported that Rosa could replace genetic counseling if hereditary cancer was confirmed. This indicates that a chatbot can be a well-suited digital companion to genetic counseling. 
SN  - 1438-8871
UR  - https://www.jmir.org/2023/1/e46571
UR  - https://doi.org/10.2196/46571
UR  - http://www.ncbi.nlm.nih.gov/pubmed/37656502
DO  - 10.2196/46571
ID  - info:doi/10.2196/46571
ER  -