ArticleJournal of medical Internet research2017
What is eHealth (6)? Development of a Conceptual Model for eHealth: Qualitative Study with Key Informants.
Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers, 12 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
129 citing papers in PubMed, 12 syntheses or guidelines pooled it.
- Effectiveness of nurse-led mHealth-based self-care management for patients with heart failure: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2026Pooled it
- Factors Associated With Digital Intervention Engagement and Adherence in Patients With Cancer: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Digital Interventions for Managing Medication and Health Care Service Delivery in West Africa: Systematic Review.Journal of medical Internet research · 2024Pooled it
- The impact of eHealth use on general practice workload in the pre-COVID-19 era: a systematic review.BMC health services research · 2024Pooled it
- Effectiveness of e-health interventions for chemotherapy-induced nausea and vomiting: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Pooled it
- Electronic Health Record-Driven Approaches in Primary Care to Strengthen Hypertension Management Among Racial and Ethnic Minoritized Groups in the United States: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Using Telehealth to Guarantee the Continuity of Rehabilitation during the COVID-19 Pandemic: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- The Impact of COVID-19 Infection on Cognitive Function and the Implication for Rehabilitation: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022Pooled it
- Direct Access for Patients to Diagnostic Testing and Results Using eHealth: Systematic Review on eHealth and Diagnostics.Journal of medical Internet research · 2022Pooled it
- Supportive Care Interventions for People With Cancer Assisted by Digital Technology: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Theories Informing eHealth Implementation: Systematic Review and Typology Classification.Journal of medical Internet research · 2021Pooled it
- Toward a Digital Platform for the Self-Management of Noncommunicable Disease: Systematic Review of Platform-Like Interventions.Journal of medical Internet research · 2020Pooled it
- Evaluation of a Digital COPD Education Program for Healthcare Professionals in Long-Term Care - A Mixed Methods Study.International journal of chronic obstructive pulmonary disease · 2022Trial
- Use of mHealth Apps by General and Family Medicine Physicians in Portugal: Observational Cross-Sectional Quantitative Study.JMIR formative research · 2026Observational
- Exploratory Analysis of the Digital Health Gender Paradox in Consumer-Facing Digital Health Technology Adoption: Cross-Sectional Survey Study.JMIR human factors · 2026Article
- Perceived Usability as a Factor Associated with Clinical Outcomes in Mobile Health Diabetes Management: A Bayesian Mediation and Equity Analysis.Journal of clinical medicine · 2026Article
- Analyzing Smart Healthcare Adoption in Remote-Island Primary Care Clinics: A Hybrid MDM-AHP Study from Kinmen Island.Healthcare (Basel, Switzerland) · 2026Article
- Best practices and challenges in executing large scale pilots for eHealth deployment and managing innovation: the GATEKEEPER experience.Frontiers in digital health · 2026Article
- PICO-based assessment and categorization of evidence for digital health interventions: an inductive framework development.Frontiers in digital health · 2026Review
- Digital Divide in Awareness, Want, and Adoption Across Diverse eHealth Services: Cross-Sectional Survey of Inpatients in Jinan, China.Journal of medical Internet research · 2025Article
69 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite rapid growth in eHealth research, there remains a lack of consistency in defining and using terms related to eHealth. More widely cited definitions provide broad understanding of eHealth but lack sufficient conceptual clarity to operationalize eHealth and enable its implementation in health care practice, research, education, and policy. Definitions that are more detailed are often context or discipline specific, limiting ease of translation of these definitions across the breadth of eHealth perspectives and situations. A conceptual model of eHealth that adequately captures its complexity and potential overlaps is required. This model must also be sufficiently detailed to enable eHealth operationalization and hypothesis testing.
objectiveThis study aimed to develop a conceptual practice-based model of eHealth to support health professionals in applying eHealth to their particular professional or discipline contexts.
methodsWe conducted semistructured interviews with key informants (N=25) from organizations involved in health care delivery, research, education, practice, governance, and policy to explore their perspectives on and experiences with eHealth. We used purposeful sampling for maximum diversity. Interviews were coded and thematically analyzed for emergent domains.
resultsThematic analyses revealed 3 prominent but overlapping domains of eHealth: (1) health in our hands (using eHealth technologies to monitor, track, and inform health), (2) interacting for health (using digital technologies to enable health communication among practitioners and between health professionals and clients or patients), and (3) data enabling health (collecting, managing, and using health data). These domains formed a model of eHealth that addresses the need for clear definitions and a taxonomy of eHealth while acknowledging the fluidity of this area and the strengths of initiatives that span multiple eHealth domains.
conclusionsThis model extends current understanding of eHealth by providing clearly defined domains of eHealth while highlighting the benefits of using digital technologies in ways that cross several domains. It provides the depth of perspectives and examples of eHealth use that are lacking in previous research. On the basis of this model, we suggest that eHealth initiatives that are most impactful would include elements from all 3 domains.
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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.