ArticleBMC psychiatry2014
Understanding the acceptability of e-mental health--attitudes and expectations towards computerised self-help treatments for mental health problems.
Article in BMC psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 6 registered trials, which are not on this map. Cited by 125 papers, 3 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.
A Pilot Study Investigating the Feasibility of Implementing Internet-delivered Treatments for Depression and Anxiety in Primary Care
An Exploratory Randomised Control Trial of a Single Session Intervention Combined With In-situ Socially Assistive Robot to Promote Emotion Regulation Competence in University Students
Beyond Efficacy- Eliciting Preference for Face-to-face and Internet-based Psychotherapy Among People with Depression: Using Discrete Choice Experiment to Advance Future Service Implementation
A Survey Study and Effect of Web-based Decision Aids on Preferences Shift
A Randomised Control Trial Investigating the Effects of Purrble and a Single Session Intervention on Emotional Regulation and Anxiety Among Students
Internet-based Cognitive Behavioral Intervention for Adolescents With Anxiety Disorders
Who cites it
125 citing papers in PubMed, 3 syntheses or guidelines pooled it, 304 citations in OpenAlex.
- Effectiveness of current digital cognitive behavioural therapy for insomnia interventions for adolescents with insomnia symptoms: A systematic review and meta-analysis.Journal of sleep research · 2025Pooled it
- Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review.Frontiers in psychiatry · 2024Pooled it
- Digital Interventions for Screening and Treating Common Mental Disorders or Symptoms of Common Mental Illness in Adults: Systematic Review and Meta-analysis.Journal of medical Internet research · 2020Pooled it
- Effectiveness of a blended learning program for enhancing mental health literacy among university students: a randomized educational study.BMC psychology · 2026Trial
- A French-Language Web-Based Intervention Targeting Prolonged Grief Symptoms in People Who Are Bereaved and Separated: Randomized Controlled Trial.JMIR formative research · 2024Trial
- Evaluating the Effects of a Self-Help Mobile Phone App on Worry and Rumination Experienced by Young Adults: Randomized Controlled Trial.JMIR mHealth and uHealth · 2024Trial
- Does outcome expectancy predict outcomes in online depression prevention? Secondary analysis of randomised-controlled trials.Health expectations : an international journal of public participation in health care and health policy · 2024Trial
- A Brief Intervention to Increase Uptake and Adherence of an Internet-Based Program for Depression and Anxiety (Enhancing Engagement With Psychosocial Interventions): Randomized Controlled Trial.Journal of medical Internet research · 2021Trial
- Nonprofessional Peer Support to Improve Mental Health: Randomized Trial of a Scalable Web-Based Peer Counseling Course.Journal of medical Internet research · 2020Trial
- Exploring Perceptions of Internet-Delivered Cognitive Behaviour Therapy among Public Safety Personnel: Informing Dissemination Efforts.International journal of environmental research and public health · 2020Trial
- Effectiveness of a Mobile App Intervention for Anxiety and Depression Symptoms in University Students: Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
- Internet-Based Cognitive Behavioral Therapy for Symptoms of Depression and Anxiety Among Patients With a Recent Myocardial Infarction: The U-CARE Heart Randomized Controlled Trial.Journal of medical Internet research · 2018Trial
- Trial
- Online psycho-education to the treatment of bipolar disorder: protocol of a randomized controlled trial.BMC psychiatry · 2016Trial
- Self-monitoring and psychoeducation in bipolar patients with a smart-phone application (SIMPLe) project: design, development and studies protocols.BMC psychiatry · 2015Trial
- Avatar-Mediated Telepsychotherapy in a Metaverse-Informed Virtual Environment: Qualitative Study of User Experiences and Design Requirements.Journal of medical Internet research · 2026Article
- Is happiness just a click away? Lessons learned from an unguided online well-being intervention for the general adult public.BMC psychology · 2026Article
- User Experience and Early Clinical Outcomes of a Mental Wellness Chatbot for Depression and Anxiety: Pilot Evaluation Mixed Methods Study.JMIR formative research · 2026Article
- eMental Health Resources for Youth: Parent Perceptions of AI Matched eMental Health Resources for Their Child.Clinical child psychology and psychiatry · 2026Article
- Therapist characteristics and acceptance of internet-delivered cognitive behavioral therapy: A national cross-sectional survey using the technology acceptance model after ten years of iCBT in Norway.Internet interventions · 2025Article
65 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 at 1 institution in 1 country.
Funding
Abstract
backgroundE-mental health and m-mental health include the use of technology in the prevention, treatment and aftercare of mental health problems. With the economical pressure on mental health services increasing, e-mental health and m-mental health could bridge treatment gaps, reduce waiting times for patients and deliver interventions at lower costs. However, despite the existence of numerous effective interventions, the transition of computerised interventions into care is slow. The aim of the present study was to investigate the acceptability of e-mental health and m-mental health in the general population.
methodsAn advisory group of service users identified dimensions that potentially influence an individual's decision to engage with a particular treatment for mental health problems. A large sample (N = 490) recruited through email, flyers and social media was asked to rate the acceptability of different treatment options for mental health problems on these domains. Results were analysed using repeated measures MANOVA.
resultsParticipants rated the perceived helpfulness of an intervention, the ability to motivate users, intervention credibility, and immediate access without waiting time as most important dimensions with regard to engaging with a treatment for mental health problems. Participants expected face-to-face therapy to meet their needs on most of these dimensions. Computerised treatments and smartphone applications for mental health were reported to not meet participants' expectations on most domains. However, these interventions scored higher than face-to-face treatments on domains associated with the convenience of access. Overall, participants reported a very low likelihood of using computerised treatments for mental health in the future.
conclusionsIndividuals in this study expressed negative views about computerised self-help intervention and low likelihood of use in the future. To improve the implementation and uptake, policy makers need to improve the public perception of such interventions.
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.