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Development and Usability Testing of an Information Needs-Based Chatbot for Individuals With Pathogenic Variants in
Sun-Young Park1, Youlim Kim2, Maria C Katapodi3,4
1College of Nursing, Research Institute of Nursing Innovation, Kyungpook National University, Daegu, South Korea.
A new chatbot, "All about BRCA," offers personalized information for individuals with BRCA gene variants, addressing limited genetic counseling access. Usability testing showed positive user feedback, indicating its potential as a supportive digital health tool.
Area of Science:
- Genetics
- Digital Health
- Health Informatics
Background:
- Limited access to genetic counseling for Korean individuals with BRCA pathogenic/likely pathogenic (P/LP) variants exists due to professional shortages and lack of reimbursement.
- Few digital health tools cater to the specific information needs of this population.
Purpose of the Study:
- To develop a user-centered chatbot, "All about BRCA," for providing individualized information to individuals with BRCA P/LP variants.
- To evaluate the usability of the developed chatbot.
Main Methods:
- A systematic review and web-crawling analysis identified user information needs.
- A rule-based chatbot prototype was developed and validated by healthcare professionals.
- Usability testing was conducted with 19 individuals with BRCA P/LP variants using the modified mHealth App Usability Questionnaire and daily diaries.
Main Results:
- The final chatbot included 10 information categories with 62 predefined responses.
- The mean usability score was 5.7/7, with subscales for ease of use, interface/satisfaction, and usefulness exceeding 5.5.
- User feedback was predominantly positive, highlighting the value of systematic, detailed, and practical information.
Conclusions:
- The "All about BRCA" chatbot demonstrated acceptable usability as a complementary tool.
- It has the potential to mitigate challenges associated with limited consultation time and shortages of genetic experts.
- Future development should focus on enhancing conversational capabilities and information depth.
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