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Assessing Mood With the Identifying Depression Early in Adolescence Chatbot (IDEABot): Development and Implementation
Anna Viduani1,2, Victor Cosenza3, Helen L Fisher4,5
1Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
JMIR Human Factors
|August 7, 2023
Summary
The IDEABot, a WhatsApp chatbot, effectively collects adolescent mood data using smartphones. This tool shows high engagement and compliance, offering a scalable method for mental health monitoring.
Area of Science:
- Digital mental health
- Adolescent psychology
- Ecological momentary assessment
Background:
- Traditional mental health assessment is limited to clinical settings.
- Smartphones offer opportunities for ecological mood assessment via apps like chatbots.
Purpose of the Study:
- To develop and implement the Identifying Depression Early in Adolescence Chatbot (IDEABot).
- To collect intensive longitudinal mood data from adolescents using WhatsApp.
Main Methods:
- The IDEABot was co-developed with adolescents using WhatsApp features.
- It supports text/audio responses, questionnaires, and unprompted interactions.
- Tested and implemented in the IDEA-RiSCo cohort study.
Main Results:
- Adolescents found the IDEABot enjoyable and contributed to its final design.
- High acceptance (80.7%-92.4%), low attrition (<1%), and good compliance (76%-91%) were observed.
- The tool was used for data collection in second and third-year follow-ups.
Conclusions:
- The IDEABot is a frugal, scalable WhatsApp-based tool for mood data collection.
- It repurposes existing technology to reduce participant burden.
- It enhances understanding of adolescent mood fluctuations and development.
Keywords:
adolescentambulatory assessmentchatbotdepressiondigital mental healthmobile phonesmartphoneMore Related Videos
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