ArticleJournal of mental health (Abingdon, England)2016
Over promised, over-sold and underperforming? - e-health in mental health.
Article in Journal of mental health (Abingdon, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Simple Mobile technology health management tool for people with severe mental illness: a randomised controlled feasibility trial.BMC psychiatry · 2021Trial
- Designing digital mental health interventions for older adults: a scoping review.NPJ digital medicine · 2026Article
- Attitudes Towards Digital Health Interventions in Germany: Findings From a Population-Based Representative Survey.Clinical psychology in Europe · 2025Article
- Article
- Feasibility and Acceptability of a Mobile App for Prolonged Grief Disorder Symptoms.Clinical psychology in Europe · 2024Article
- What adults with ADHD want to know: A Delphi consensus study on the psychoeducational needs of experts by experience.Health expectations : an international journal of public participation in health care and health policy · 2022Article
- Impact of Electronic Health Records on Information Practices in Mental Health Contexts: Scoping Review.Journal of medical Internet research · 2022Article
- Developing a Theory-Informed Smartphone App for Early Psychosis: Learning Points From a Multidisciplinary Collaboration.Frontiers in psychiatry · 2020Article
- Why Reviewing Apps Is Not Enough: Transparency for Trust (T4T) Principles of Responsible Health App Marketplaces.Journal of medical Internet research · 2019Article
- Use of the Principles of Design Thinking to Address Limitations of Digital Mental Health Interventions for Youth: Viewpoint.Journal of medical Internet research · 2019Article
- Digital Exclusion Among Mental Health Service Users: Qualitative Investigation.Journal of medical Internet research · 2019Article
- Facilitating Factors and Barriers to the Use of Emerging Technologies for Suicide Prevention in Europe: Multicountry Exploratory Study.JMIR mental health · 2018Article
- Implementing Video to Home to Increase Access to Evidence-Based Psychotherapy for Rural Veterans.Journal of technology in behavioral science · 2017Article
- Improving Adherence to Web-Based and Mobile Technologies for People With Psychosis: Systematic Review of New Potential Predictors of Adherence.JMIR mHealth and uHealth · 2017Article
- Applicability of acceptance and commitment therapy-based mobile app in depression nursing.Translational behavioral medicine · 2017Article
- Health professionals' perspective on the promotion of e-mental health apps in the context of maternal depression.PloS one · 2017Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
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.