ArticleInternet interventions2019
Development of the eTAP: A brief measure of attitudes and process in e-interventions for mental health.
Article in Internet interventions, 2019. 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 16 papers, 1 of them a synthesis 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.
Evaluation of Blended Stepped-care Mental Well-being Intervention for Adults: A Randomized Controlled Trial
Evaluation of Chatbot for Mental Well-being: A Randomized Controlled Trial
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- A Decade in Review: A Systematic Review of Virtual Reality Interventions for Emotional Disorders.Psychosocial intervention · 2022Pooled it
- Effectiveness of Topic-Based Chatbots on Mental Health Self-Care and Mental Well-Being: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- A remote and avatar-based approach for social cognitive impairments in psychotic disorders: A Canadian adaptation of RC2S.Schizophrenia research. Cognition · 2026Article
- Transdiagnostic Assessment of Mental Health and Sleep Registry: Protocol for a Cross-Sectional Study.Alpha psychiatry · 2026Article
- Article
- Navigating Social Cognitive Impairments in Schizophrenia Spectrum Disorders: Protocol for a Pilot Pre-Post Quasi-Experimental Study for Remote Avatar-Assisted Cognitive Remediation Therapy.JMIR research protocols · 2024Article
- An internet-based self-help intervention for the reduction of consumption of ultra-processed products and increase of physical activity in Mexican university population: study protocol for a randomized controlled trial.Frontiers in nutrition · 2024Article
- Attentional Features of Mindfulness are Better Predictors of Face Recognition than Empathy and Compassion-Based Constructs.Psychological reports · 2023Article
- Validation of the Attitudes Towards Psychological Online Interventions Questionnaire Among Black Americans: Cross-cultural Confirmatory Factor Analysis.JMIR mental health · 2023Article
- Will they or won't they? Understanding New Zealand adults' attitudes towards using digital interventions.Frontiers in digital health · 2023Article
- Understanding client engagement in digital mental health interventions: An investigation of the eTherapy Attitudes and Process Questionnaire.Journal of clinical psychology · 2022Article
- Remote group therapies for cognitive health in schizophrenia-spectrum disorders: Feasible, acceptable, engaging.Schizophrenia research. Cognition · 2022Article
- How the COVID-19 Pandemic Can and Must Expand Social Worker e-Interventions for Mental Health, Family Wellness, and Beyond.Social work · 2021Article
- Managing Procrastination on Social Networking Sites: The D-Crastinate Method.Healthcare (Basel, Switzerland) · 2020Article
- Combating Fear of Missing Out (FoMO) on Social Media: The FoMO-R Method.International journal of environmental research and public health · 2020Article
- Development of the eTAP-T: A measure of mental health professionals' attitudes and process towards e-interventions.Internet interventions · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundConsiderable evidence supports the efficacy of e-interventions for mental health treatment and support. However, client engagement and adherence to these interventions are less than optimal and remain poorly understood.
objectiveThe aim of the current study was to develop and investigate the psychometric properties of the e-Therapy Attitudes and Process questionnaire (eTAP). Based on the Theory of Planned Behaviour (TPB), the eTAP was designed to measure factors related to client engagement in e-interventions for mental health.
methodsParticipants were 220 adults who reported current use of an e-intervention for mental health support. Participants completed the eTAP and related measures, with a subsample of 49 participants completing a one-week follow up assessment.
resultsA 16-item version of the eTAP produced a clear four-factor structure, explaining 70.25% of variance. The factors were consistent with the TPB, namely, Intention, Subjective Norm, Attitudes, and Perceived Behavioural Control. Internal consistency of the total and subscales was high, and adequate to good one-week test retest reliability was found. Convergent and divergent validity of the total and subscales was supported, as was the predictive validity. Specifically, eTAP Intentions correctly predicted engagement in e-interventions with 84% accuracy and non-engagement with 74% accuracy.
conclusionsThe eTAP was developed as a measure of factors related to engagement and adherence with e-interventions for mental health. Psychometric investigation supported the validity and reliability of the eTAP. The eTAP may be a valuable tool to understand, predict, and guide interventions to increase engagement and adherence to e-interventions for mental health.
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.