ArticleJournal of medical Internet research2018
Elements of Trust in Digital Health Systems: Scoping Review.
Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05880147 (App-based Consent for Participation in Pediatric Clinical Research), which is not on this map. Cited by 118 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
App-based Consent for Participation in Pediatric Clinical Research: a Feasibility Study
Who cites it
118 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Implementation of Total Body Photography for Skin Cancer Early Detection: A Systematic Review.International journal of dermatology · 2026Pooled it
- The State of the Art of Telemedicine Implementation Architecture: Rapid Umbrella Review of Systematic Reviews.Journal of medical Internet research · 2025Pooled it
- Impact of Digital Health on Patient-Provider Relationships in Respiratory Secondary Care Based on Qualitative and Quantitative Evidence: Systematic Review.Journal of medical Internet research · 2025Pooled it
- A systematic review of users experiences of using digital interventions within psychosis: a thematic synthesis of qualitative research.Social psychiatry and psychiatric epidemiology · 2025Pooled it
- Implementation of Machine Learning Applications in Health Care Organizations: Systematic Review of Empirical Studies.Journal of medical Internet research · 2024Pooled it
- An exploratory study to understand how rurality status and demographic characteristics are associated with enrollment, engagement, and retention in a digital health intervention targeting the Appalachian region.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025Trial
- Challenges and Approaches to Recruitment for and Retention in a Dyad-Focused eHealth Intervention During COVID-19: Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Shaping Adoption and Sustained Use Across the Maternal Journey: Qualitative Study on Perceived Usability and Credibility in Digital Health Tools.JMIR human factors · 2024Trial
- Digital Phenotyping and Noninvasive Quality-of-Life Monitoring in Glioblastoma: Feasibility and Usability Study of the Lalaby-Glio App.JMIR formative research · 2026Article
- Parental needs and experiences with e-Health applications in chronic pediatric care - a scoping review.BMC pediatrics · 2026Article
- Factors Associated With Digital Health Literacy in the United Kingdom: Cross-Sectional Online Survey.Journal of medical Internet research · 2026Article
- Unlocking AI Chatbot Potential in Healthcare: Trust-Enhanced DeLone & McLean IS Success Model.Healthcare (Basel, Switzerland) · 2026Article
- Organizational Tensions in the Implementation of Modifiable Off-the-Shelf Technologies in a University Hospital: Qualitative Multimethod Study.JMIR human factors · 2026Article
- Factors Influencing the Use of Mobile Apps and Wearables: Pre- and Post-Surgery Quality of Life Assessment Study.JMIR formative research · 2026Article
- Trust and Use of Recommendations for Health Apps Among European Residents: Cross-Sectional Survey.JMIR mHealth and uHealth · 2026Observational
- Coproducing an Online Platform for People With Long-Term Physical Health Conditions: Development and Usability Study.Journal of medical Internet research · 2026Article
- Insights and Recommendations From Moderators and Community Members for Keeping Online Peer Support Safe: Thematic Analysis.Journal of medical Internet research · 2026Article
- Navigation, Adoption, and Use of Digital Health Technologies for Irritable Bowel Syndrome Self-Management: Focus Group Study of Patient Experience and Decision-Making.JMIR human factors · 2026Article
- Acceptability of Sharing Internet Browsing History for Cancer Research: Think-Aloud and Interview Study.JMIR cancer · 2026Article
- Exploring Factors Associated With the Stalled Implementation of a Ground-Up Electronic Health Record System in South Africa: Qualitative Insights From the E-Tick Case Study Using the Consolidated Framework for Implementation Research (CFIR).JMIR medical informatics · 2026Article
58 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInformation and communication technologies have long become prominent components of health systems. Rapid advances in digital technologies and data science over the last few years are predicted to have a vast impact on health care services, configuring a paradigm shift into what is now commonly referred to as digital health. Forecasted to curb rising health costs as well as to improve health system efficiency and safety, digital health success heavily relies on trust from professional end users, administrators, and patients. Yet, what counts as the building blocks of trust in digital health systems has so far remained underexplored.
objectiveThe objective of this study was to analyze what relevant stakeholders consider as enablers and impediments of trust in digital health.
methodsWe performed a scoping review to map out trust in digital health. To identify relevant digital health studies, we searched 5 electronic databases. Using keywords and Medical Subject Headings, we targeted all relevant studies and set no boundaries for publication year to allow a broad range of studies to be identified. The studies were screened by 2 reviewers after which a predefined data extraction strategy was employed and relevant themes documented.
resultsOverall, 278 qualitative, quantitative, mixed-methods, and intervention studies in English, published between 1998 and 2017 and conducted in 40 countries were included in this review. Patients and health care professionals were the two most prominent stakeholders of trust in digital health; a third-health administrators-was substantially less prominent. Our analysis identified cross-cutting personal, institutional, and technological elements of trust that broadly cluster into 16 enablers (altruism, fair data access, ease of use, self-efficacy, sociodemographic factors, recommendation by other users, usefulness, customizable design features, interoperability, privacy, initial face-to-face contact, guidelines for standardized use, stakeholder engagement, improved communication, decreased workloads, and service provider reputation) and 10 impediments (excessive costs, limited accessibility, sociodemographic factors, fear of data exploitation, insufficient training, defective technology, poor information quality, inadequate publicity, time-consuming, and service provider reputation) to trust in digital health.
conclusionsTrust in digital health technologies and services depends on the interplay of a complex set of enablers and impediments. This study is a contribution to ongoing efforts to understand what determines trust in digital health according to different stakeholders. Therefore, it offers valuable points of reference for the implementation of innovative digital health services. Building on insights from this study, actionable metrics can be developed to assess the trustworthiness of digital technologies in health care.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.