ArticleJournal of medical Internet research2018
Attitudes Toward e-Mental Health Services in a Community Sample of Adults: Online Survey.
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 2 registered trials, which are not on this map. Cited by 64 papers, 2 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.
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
Who cites it
64 citing papers in PubMed, 2 syntheses or guidelines pooled it, 173 citations in OpenAlex.
- The Empowering Role of Web-Based Help Seeking on Depressive Symptoms: Systematic Review and Meta-analysis.Journal of medical Internet research · 2023Pooled it
- Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Trial
- Exploring Perceptions of Internet-Delivered Cognitive Behaviour Therapy among Public Safety Personnel: Informing Dissemination Efforts.International journal of environmental research and public health · 2020Trial
- How does family face relate to intention to seek therapist-guided and digital self-guided psychological interventions? mediating effects of interdependent stigma and help-seeking attitudes.Social psychiatry and psychiatric epidemiology · 2026Article
- eMental Health Resources for Youth: Parent Perceptions of AI Matched eMental Health Resources for Their Child.Clinical child psychology and psychiatry · 2026Article
- Mental health outcomes and use of online mental health tools following a public health deployment of the mindfulness meditation app headspace.Frontiers in digital health · 2026Article
- Beliefs, referrals, and mental healthcare pathways in the Eastern Democratic Republic of Congo.PLOS global public health · 2026Article
- Technology for Mental Health: Reflections on Scope and Future Directions in Institutes of Higher Education in India.Online journal of public health informatics · 2025Article
- Understanding the Differences Between Online and Offline Mental Health Help Seekers: Cross-Sectional Comparative Study.JMIR human factors · 2025Article
- Capacity to Invest Effort as a Predictor of Preference for Digital Mental Health Interventions Over Psychotherapy: Cross-Sectional Study Using an Ecological Digital Screening Tool.Journal of medical Internet research · 2025Article
- User Character Strengths and Engagement Prediction on a Digital Mental Health Platform for Young People: Longitudinal Observational Study.Journal of medical Internet research · 2025Observational
- Determinants of Patient Use of Telemental Health Services: Representative Cross-Sectional Survey From Germany.JMIR mental health · 2025Article
- The influence of internet information exposure on Chinese youth's intention of online psychological counseling: based on SOR theory and the mindful coping model.Scientific reports · 2025Article
- Mental health service preferences in rural Australia: the importance of culture and connection.Australian journal of psychology · 2025Article
- Service Attributes and Acceptability of Digital and Nondigital Depression Management Methods Among Individuals With Depressive Symptoms: Survey Study.JMIR formative research · 2024Article
- We Have Spent Time, Money, and Effort Making Self-Help Digital Mental Health Interventions: Is Anyone Going to Come to the Party?Journal of medical Internet research · 2024Review
- Toward Tailoring Just-in-Time Adaptive Intervention Systems for Workplace Stress Reduction: Exploratory Analysis of Intervention Implementation.JMIR mental health · 2024Article
- The knowledge, attitude, and intention to use internet-based mental health services: A serial mediation model.Internet interventions · 2024Article
- Article
4 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
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite evidence that e-mental health services are effective, consumer preferences still appear to be in favor of face-to-face services. However, the theory of planned behavior (TPB) suggests that cognitive intentions are more proximal to behavior and thus may have a more direct influence on service use. Investigating individual characteristics that influence both preferences and intentions to use e-mental health services is important for better understanding factors that might impede or facilitate the use of these services.
objectiveThis study explores predictors of preferences and intentions to access e-mental health services relative to face-to-face services. Five domains were investigated (demographics, technology factors, personality, psychopathology, and beliefs), identified from previous studies and informed by the Internet interventions model. We expected that more participants would report intentions to use e-mental health services relative to reported preferences for this type of support and that these 5 domains would be significantly associated with both intentions and preferences toward online services.
methodsA mixed sample of 308 community members and university students was recruited through social media and the host institution in Australia. Ages ranged between 17 and 68 years, and 82.5% (254/308) were female. Respondents completed an online survey. Chi-square analysis and t tests were used to explore group differences, and logistic regression models were employed to explore factors predicting preferences and intentions.
resultsMost respondents (85.7%, 264/308) preferred face-to-face services over e-mental health services. Relative to preferences, a larger proportion of respondents (39.6%, 122/308) endorsed intentions to use e-mental health services if experiencing mental health difficulties in the future. In terms of the 5 predictor domains, 95% CIs of odds ratios (OR) derived from bootstrapped standard errors suggested that prior experience with online services significantly predicted intentions to use self-help (95% CI 2.08-16.24) and therapist-assisted (95% CI 1.71-11.90) online services in future. Being older predicted increased intentions to use therapist-assisted online services in future (95% CI 1.01-1.06), as did more confidence using computers and the Internet (95% CI 1.06-2.69). Technology confidence was also found to predict greater preference for online services versus face-to-face options (95% CI 1.24-4.82), whereas higher doctor-related locus of control, or LOC (95% CI 0.76-0.95), and extraversion (95% CI 0.88-1.00) were predictive of lower likelihood of preferring online services relative to face-to-face services.
conclusionsDespite generally low reported preferences toward e-mental health services, intentions to access these services are higher, raising the question of how to best encourage translation of intentions into behavior (ie, actual use of programs). Strategies designed to ease people into new Internet-based mental health programs (to enhance confidence and familiarity) may be important for increasing the likelihood that they will return to such programs later.
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.