ArticleBMC medicine2019
Digital health at fifteen: more human (more needed).
Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Exploring digital health user engagement: General app usage patterns from a clinical trial with the mLab App.PLOS digital health · 2026Article
- Comprehensive perceptions at the interface between health and environment: Applications models with a citizen science tool.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Mapping the Process of Engagement With Digital Health Interventions: A Cross-Case Synthesis.Mayo Clinic proceedings. Innovations, quality & outcomes · 2025Article
- Achieving clinically meaningful outcomes in digital health: a six-step, cyclical precision engagement framework (ENGAGE).Frontiers in digital health · 2025Article
- The conceptualisation and measurement of engagement in digital health.Internet interventions · 2024Article
- MIDO GDM: an innovative artificial intelligence-based prediction model for the development of gestational diabetes in Mexican women.Scientific reports · 2023Article
- A human centred approach to digital technologies in health care delivery among mothers, children and adolescents.BMC health services research · 2022Article
- Using provocative design to foster electronic informed consent innovation.BMC medical informatics and decision making · 2022Article
- The Challenges Toward Real-world Implementation of Digital Health Design Approaches: Narrative Review.JMIR human factors · 2022Review
- A Novel Hospital-to-Home System for Children With Medical Complexities: Usability Testing Study.JMIR formative research · 2022Article
- Achieving the potential of mHealth in medicine requires challenging the ethos of care delivery.Primary health care research & development · 2022Article
- Development and Validation of Decision Rules Models to Stratify Coronary Artery Disease, Diabetes, and Hypertension Risk in Preventive Care: Cohort Study of Returning UK Biobank Participants.Journal of personalized medicine · 2021Article
- Co-designing new tools for collecting, analysing and presenting patient experience data in NHS services: working in partnership with patients and carers.Research involvement and engagement · 2021Article
- An Iterative and Collaborative End-to-End Methodology Applied to Digital Mental Health.Frontiers in psychiatry · 2021Article
- Evaluating the Implementation of a Remote-Monitoring Program for Chronic Obstructive Pulmonary Disease: Qualitative Methods from a Service Design Perspective.Journal of medical Internet research · 2020Article
- Patients' Perceptions of Barriers and Facilitators to the Adoption of E-Hospitals: Cross-Sectional Study in Western China.Journal of medical Internet research · 2020Article
- Utilising digital health to improve medication-related quality of care for hypertensive patients: An integrative literature review.World journal of clinical cases · 2020Article
- Health Professional Digital Capabilities Frameworks: A Scoping Review.Journal of multidisciplinary healthcare · 2020Article
- Systemic Solutions for Addressing Non-Communicable Diseases in Low- and Middle-Income Countries.Journal of multidisciplinary healthcare · 2020Review
- Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety.NPJ digital medicine · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is growing appreciation that the success of digital health - whether digital tools, digital interventions or technology-based change strategies - is linked to the extent to which human factors are considered throughout design, development and implementation. A shift in focus to individuals as users and consumers of digital health highlights the capacity of the field to respond to secular developments, such as the adoption of person-centred care and consumer health technologies. We argue that this project is not only incomplete, but is fundamentally 'uncompletable' in the face of a highly dynamic landscape of both technological and human challenges. These challenges include the effects of consumerist, technology-supported care on care delivery, the rapid growth of digital users in low-income and middle-income countries and the impacts of machine learning. Digital health research will create most value by retaining a clear focus on the role of human factors in maximising health benefit, by helping health systems to anticipate and understand the person-centred effects of technology changes and by advocating strongly for the autonomy, rights and safety of consumers.
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What OpenQuestion holds
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.