Parenting Journal · Volume 2 · Issue 5 · Licensed source edition
Improving the Well-being of Adolescents With Type 1 Diabetes During the COVID-19 Pandemic: Qualitative Study Exploring Acceptability and Clinical Usability of a Self-compassion Chatbot
Originally published 2023-05-05 · JMIR Diabetes
JMIR Publications Inc. · DOI 10.2196/40641 ↗
AI / system type
Rule-based lessons plus explicitly reported limited AI recognition of emotions, management status and risk words; demonstrated prototype
Child-facing evidenceExamines children or child-focused systems. Transfer to everyday family life must be assessed separately.
The AI connection
The original Methods explicitly describe a predominantly decision-tree chatbot with AI used to identify emotions, diabetes-management status and risk words, then tailor replies or support information. Participants only viewed recordings; recognition accuracy and safety were not validated.
Why this reading matters
Especially close to TRICK Kindness because its target is self-kindness, with young people identifying what compassionate design must include.
Editorial reading guide · Kindness
What would make digital self-compassion support feel relevant to my teen’s real daily challenges?
Centers self-compassion in the daily emotional burden of diabetes. Adolescents valued personalization and seeing peers with similar experiences; professionals wanted broader tools and cultural representation. All feedback concerned a prototype demonstration, so perceived reassurance and relevance must be separated from actual symptom or diabetes outcomes.
Study context
19 New Zealand adolescents with type 1 diabetes and 11 diabetes professionals; focus groups/interviews responding to screen recordings.
Age / stage: 12–16 years
Read with three questions
- Why did teens often prefer lived-experience videos over the mindfulness and brain-information modules?
- How would screen-recording feedback differ from using COMPASS during an upsetting diabetes event?
- Which requests for cultural representation, offline access and connection with other young people remain beyond a chatbot’s conversational tone?
Keep the limits in view
Participants watched recordings rather than independently using the app. Many knew the research team or prior self-compassion work, potentially favoring positive feedback. Small sample, incomplete representation of access barriers and no clinical outcomes or comparison group; acceptability is not efficacy.
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Anna Boggiss; Nathan Consedine; Sarah Hopkins; Connor Silvester; Craig Jefferies; Paul Hofman; Anna Serlachius; Yu Kuei Lin; Joanna McClintock; Santosh Pandey; Sun Young Park (2023). Improving the Well-being of Adolescents With Type 1 Diabetes During the COVID-19 Pandemic: Qualitative Study Exploring Acceptability and Clinical Usability of a Self-compassion Chatbot JMIR Diabetes. https://doi.org/10.2196/40641
Permissions checked against the saved article notice; repository publication notices screened 2026-11-04. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.