ArticleJMIR mental health2021
Breaking the Data Value-Privacy Paradox in Mobile Mental Health Systems Through User-Centered Privacy Protection: A Web-Based Survey Study.
Article in JMIR mental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patients' Perspectives on the Data Confidentiality, Privacy, and Security of mHealth Apps: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Digital Health Among Educators: A Scoping Review.Healthcare (Basel, Switzerland) · 2026Review
- Patients' mHealth Apps Usage and Data Privacy, Security, and Confidentiality Concerns: Exploratory Study.JMIR formative research · 2026Article
- Perspectives Regarding the Privacy, Security, and Confidentiality of Data Collected via mHealth Apps in Saudi Arabia: Qualitative Analysis.Journal of medical Internet research · 2026Article
- A framework for culturally adapting mental mHealth apps.Frontiers in digital health · 2026Article
- Digital tools for assessing bipolar disorder: A scoping review of the current landscape.Neuroscience applied · 2026Article
- Cultivating Digital Wellness: Embracing Mobile Mental Health Apps in Saudi Arabia.Healthcare (Basel, Switzerland) · 2025Article
- Challenges and standardisation strategies for sensor-based data collection for digital phenotyping.Communications medicine · 2025Review
- Determinant Factors of Stress in Caregivers of Patients With Schizophrenia: Cross-Sectional Study.JMIR formative research · 2025Article
- Research on the network structure and gender/age differences of psychological safety among urban residents: network analysis based on a large sample.BMC psychology · 2025Article
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- Stakeholders' perceptions of personal health data sharing: A scoping review.PLOS digital health · 2024Article
- Patients and Stakeholders' Perspectives Regarding the Privacy, Security, and Confidentiality of Data Collected via Mobile Health Apps in Saudi Arabia: Protocol for a Mixed Method Study.JMIR research protocols · 2024Article
- Privacy Barriers in Health Monitoring: Scoping Review.JMIR nursing · 2024Article
- Evaluating Users' Experiences of a Child Multimodal Wearable Device: Mixed Methods Approach.JMIR human factors · 2024Article
- People with long-term conditions sharing personal health data via digital health technologies: A scoping review to inform design.PLOS digital health · 2023Article
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile mental health systems (MMHS) have been increasingly developed and deployed in support of monitoring, management, and intervention with regard to patients with mental disorders. However, many of these systems rely on patient data collected by smartphones or other wearable devices to infer patients' mental status, which raises privacy concerns. Such a value-privacy paradox poses significant challenges to patients' adoption and use of MMHS; yet, there has been limited understanding of it.
objectiveTo address the significant literature gap, this research aims to investigate both the antecedents of patients' privacy concerns and the effects of privacy concerns on their continuous usage intention with regard to MMHS.
methodsUsing a web-based survey, this research collected data from 170 participants with MMHS experience recruited from online mental health communities and a university community. The data analyses used both repeated analysis of variance and partial least squares regression.
resultsThe results showed that data type (P=.003), data stage (P<.001), privacy victimization experience (P=.01), and privacy awareness (P=.08) have positive effects on privacy concerns. Specifically, users report higher privacy concerns for social interaction data (P=.007) and self-reported data (P=.001) than for biometrics data; privacy concerns are higher for data transmission (P=.01) and data sharing (P<.001) than for data collection. Our results also reveal that privacy concerns have an effect on attitude toward privacy protection (P=.001), which in turn affects continuous usage intention with regard to MMHS.
conclusionsThis study contributes to the literature by deepening our understanding of the data value-privacy paradox in MMHS research. The findings offer practical guidelines for breaking the paradox through the design of user-centered and privacy-preserving MMHS.
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