Factors Influencing Parental Endorsement of Ongoing Engagement with an mHealth Chatbot: The Impact of Cognitive Beliefs and Perceived Quality
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By
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Wen-Jen Chang
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Pei-Ching Chang
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September 18, 2026
Factors Influencing Parental Endorsement of mHealth Chatbot Engagement
Overview
This study investigates the factors that influence parents' intentions to support their children's ongoing use of an mHealth chatbot for pediatric oral health.
Background
The increasing adoption of mHealth technologies presents opportunities for enhancing health behaviors, particularly in pediatric care. Parental involvement is crucial in determining children's sustained engagement with these technologies, yet research on this dynamic remains limited.
Data Highlights
No numerical or trial data available in the source material.
Key Findings
- Parents act as gatekeepers in their children's use of mHealth technologies.
- Parental cognitive beliefs significantly influence their endorsement of ongoing engagement with mHealth chatbots.
- Perceived quality of the mHealth intervention affects parental decision-making regarding their child's continued use.
- Existing models of technology acceptance may not fully apply to pediatric contexts where caregivers are involved.
- Oral health is a critical area for studying caregiver-mediated continuance of mHealth interventions.
Clinical Implications
Healthcare providers should consider the role of parents in the adoption and continued use of mHealth tools for children. Enhancing the perceived quality of these interventions may improve parental support and engagement.
Conclusion
The study underscores the importance of understanding parental influences on children's engagement with mHealth technologies, particularly in the context of pediatric oral health.
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Based on findings from:
Determinants of parental support for continued use of an mHealth chatbot: The roles of cognitive beliefs and perceived quality
Wen-Jen Chang, Pei-Ching Chang. Digital Health, 2026.
https://journals.sagepub.com/doi/abs/10.1177/20552076261490668
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.