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Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

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Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study.

Katie Ryan¹, Justin Hogg¹, Max Kasun¹

¹Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford University, Palo Alto, CA, United States.

JMIR Mhealth and Uhealth

|May 20, 2025

Summary

Users value artificial intelligence mobile health (AI-mHealth) apps for health management but have concerns about data privacy and trust. Findings highlight user preferences for data sharing and trust factors in AI-mHealth applications.

Keywords:

artificial intelligence end users ethics mHealth mobile health qualitative study semistructured interviews trust

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Area of Science:

Digital Health
Artificial Intelligence in Healthcare
Human-Computer Interaction

Background:

Growing adoption of AI-mHealth apps offers enhanced health management.
Early AI development raises concerns: trust, privacy, consent, and bias.
User perspectives on AI-mHealth ethical considerations are underexplored.

Purpose of the Study:

Explore user attitudes towards direct-to-consumer AI-mHealth apps.
Document ethically salient considerations of AI-mHealth app users.
Understand experiences of individuals using mHealth apps.

Main Methods:

Conducted semistructured interviews with 21 mHealth app users.
Utilized open-ended questions until topic saturation.
Employed qualitative descriptive analysis with a 37-codebook.

Main Results:

Users perceive AI-mHealth impacts on health awareness, management, and data sharing.
Trust in AI-mHealth is influenced by professional endorsements and tech company attitudes.
Users have preferences for data collection, future use, and information accessibility.

Conclusions:

Study provides context on AI-mHealth trust, explainability, and data sharing.
Identified user differentiation in AI-mHealth value for mental vs. physical health.
First qualitative study exploring end-user perspectives on direct-to-consumer AI-mHealth apps.