Determinants of parental support for continued use of an mHealth chatbot: The roles of cognitive beliefs and perceived quality - Report - DentalSpire
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Factors Influencing Parental Endorsement of Ongoing Engagement with an mHealth Chatbot: The Impact of Cognitive Beliefs and Perceived Quality

  • By

  • Wen-Jen Chang

  • Pei-Ching Chang

  • September 18, 2026

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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.

Related Resources & Content

  1. DIGITAL HEALTH, 2026 -- Understanding the influence of perceived intelligence and perceived anthropomorphism on users’ intention to adopt healthcare chatbots
  2. JMIR, 2026 -- Factors Shaping Trust and Satisfaction With AI Medical Chatbots: A Mixed Methods Vignette Survey of Caregivers Seeking Guidance on Pediatric Infectious Diseases
  3. Frontiers in Digital Health, 2026 -- The Influence of Professional Perspectives on the Adoption of AI in Mental Health Services: A Qualitative Analysis of an LLM-Enhanced Chatbot
  4. Frontiers in Digital Health, 2026 -- Clinician and patient perspectives on digital technology platforms for healthcare delivery
  5. WHO, 2023 -- Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models
  6. JMIR Pediatrics and Parenting, 2024 -- The Feasibility and Acceptability of Using a Digital Conversational Agent (Chatbot) for Delivering Parenting Interventions: Systematic Review
  7. npj Digital Medicine, 2025 -- A meta-analysis of persuasive design, engagement, and efficacy in 92 RCTs of mental health apps
  8. Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models
  9. JMIR Pediatrics and Parenting - The Feasibility and Acceptability of Using a Digital Conversational Agent (Chatbot) for Delivering Parenting Interventions: Systematic Review
  10. A meta-analysis of persuasive design, engagement, and efficacy in 92 RCTs of mental health apps | npj Digital Medicine

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