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To calculate the 95% CIs for all correlation coefficients shown, the Fisher z transformation method was used.
All statistical analyses were conducted using R (version 4.2.0 for Macintosh). The scispa Cy package and all API calls were conducted through Python (version 3.0; Python Software Foundation) on an Ubuntu Linux-based cloud server.
This study was approved by the University of California San Francisco Institutional Review Board (14-14743).
J Med Internet Res 2025;27:e65226
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In total, there were 8 groups of mixed participants which included children and young people (n=9; age range 5‐26 y; mean age 13.3, SD 6.3 y) and parents (n=13). Each group consisted of 2‐5 participants.
Participants felt that the chatbot needs to evolve with them. For instance, families felt that simple language should be used at the beginning of diagnosis. However, explanations should become more advanced in the subsequent years as families become more familiar and do not want to feel patronized.
JMIR Pediatr Parent 2025;8:e70409
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Preventing Urgent Pediatric Readmissions: The Need for and Promise of Real-Time Monitoring
JMIR Pediatr Parent 2025;8:e60802
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The Influence of Popular Media on Public Interest in Red-Light Therapy: Longitudinal Trend Analysis
JMIR Dermatol 2025;8:e69796
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