ArticleInternational journal of telerehabilitation2020
User Preferences for Privacy Protection Methods in Mobile Health Apps: A Mixed-Methods Study.
Article in International journal of telerehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- Evaluation of Digital Mental Health Technologies in the United States: Systematic Literature Review and Framework Synthesis.JMIR mental health · 2024Pooled it
- Findings from the 2021 Yearbook Section on Health Information Management.Yearbook of medical informatics · 2021Pooled it
- Identifying dissemination strategies for promoting adoption of digital health interventions in clinical settings: A convergent parallel study on text message support for HIV pre-exposure prophylaxis (PrEP) adherence.PLOS digital health · 2026Article
- Outpatients' Readiness for Engagement in Health Information Technology: Implications for Patient Education in University Hospitals of Southern Iran.Health science reports · 2026Article
- Demand Analysis of Mobile Health Applications for Patients with Chronic Kidney Disease Across Different E-Health Literacy Levels.Patient preference and adherence · 2026Article
- People with long-term conditions sharing personal health data via digital health technologies: A scoping review to inform design.PLOS digital health · 2023Article
- Multipurpose Mobile Apps for Mental Health in Chinese App Stores: Content Analysis and Quality Evaluation.JMIR mHealth and uHealth · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile health (mHealth) apps have the potential to facilitate convenient health care delivery and self-management of health. However, many users have concerns about their privacy when they use mHealth apps. Different apps provide different solutions for protecting users' privacy.
objectiveThe purpose of this study was to determine user preferences among the several privacy protection methods used in current mHealth apps and the reasons behind their preferences.
methodsFive privacy protection methods currently used in mHealth apps were presented to a group of study participants who had mild or moderate depression and expressed concerns about privacy of information when they used mental health apps. After a demonstration of the methods, study participants were asked to fill out a questionnaire and indicate their perceived privacy protection level (PPPL) of each method, their preference rating for each method, and the privacy protection methods they had used in the past. A brief interview was then conducted to collect study participants' comments on these methods and elicit the reasons for their preference ratings. Statistical analysis was performed to determine the statistical significance of differences in participants' preference ratings and in the PPPLs obtained for the five methods. Study participants' comments on the privacy protection methods and suggestions were noted and summarized.
resultsForty (40) study participants were selected from a large candidate pool using the IRB approved selection criteria. All study participants viewed the app demonstration and understood the five privacy protection methods properly, which was indicated by their correct sorting of the PPPL of the five methods in their answers to the questionnaire. All study participants specified their preferences with respect to these methods and provided the rationale behind their selections on the questionnaire and during the brief interview. The results indicate that the users preferred privacy protection methods with
conclusionsThis study identified user preferred privacy protection methods. These identified privacy protection methods may be used in many types of apps that perform sensitive health information management to better protect users' privacy and encourage more users to adopt these mHealth apps.
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