ReviewJMIR mental health2022
Acceptability of Web-Based Mental Health Interventions in the Workplace: Systematic Review.
Review in JMIR mental health, 2022. 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
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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, 30 citations in OpenAlex.
- Web-Based Interactive Training for Managers (Managing Minds at Work) to Promote Mental Health at Work: Pilot Feasibility Cluster Randomized Controlled Trial.JMIR mental health · 2025Trial
- A Therapeutic Conversational Agent (Solace) for Management of Chronic Pain: Acceptability and Usability Study.JMIR rehabilitation and assistive technologies · 2026Article
- Supporting the health of working women in midlife: co-designing and testing the acceptability of a digital exercise programme.BMC women's health · 2026Article
- A Proposed Taxonomy to Holistically Classify Employee Mental Health Programs: Qualitative Taxonomy Development Study.Interactive journal of medical research · 2025Article
- Effectiveness and acceptability of exergaming in people with mild cognitive impairment: protocol for an overview of systematic reviews and network meta-analysis.Systematic reviews · 2025Article
- Employee Preference and Use of Employee Mental Health Programs: Mixed Methods Study.JMIR human factors · 2025Article
- Digital Wellness Programs in the Workplace: Meta-Review.Journal of medical Internet research · 2025Review
- The acceptability of a novel seismocardiography device for measuring VOBMC public health · 2025Article
- Mindfulness meditation as a tool for enhancing recovery and reducing burnout in elite tennis players.Frontiers in psychology · 2025Article
- User perceptions and utilisation of features of an AI-enabled workplace digital mental wellness platform 'mindline at workBMJ health & care informatics · 2024Article
- Acceptability of Cognitive Behavioral Therapy for Tinnitus: A Study With Veterans and Nonveterans.American journal of audiology · 2023Article
- Opportunities for the Implementation of a Digital Mental Health Assessment Tool in the United Kingdom: Exploratory Survey Study.JMIR formative research · 2023Article
- Feasibility and Preliminary Efficacy of Digital Interventions for Depressive Symptoms in Working Adults: Multiarm Randomized Controlled Trial.JMIR formative research · 2023Article
- Leveraging behavioral science and artificial intelligence to support mental health in the workplace: a pilot study.Frontiers in psychiatry · 2023Article
- Preferences for a Mental Health Support Technology Among Chinese Employees: Mixed Methods Approach.JMIR human factors · 2022Article
- Review
- 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
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWeb-based interventions have proven to be effective not only in clinical populations but also in the occupational setting. Recent studies conducted in the work environment have focused on the effectiveness of these interventions. However, the role of employees' acceptability of web-based interventions and programs has not yet enjoyed a similar level of attention.
objectiveThe objective of this systematic review was to conduct the first comprehensive study on employees' level of acceptability of web-based mental health interventions based on direct and indirect measures, outline the utility of different types of web-based interventions for work-related mental health issues, and build a research base in the field.
methodsThe search was conducted between October 2018 and July 2019 and allowed for any study design. The studies used either qualitative or quantitative data sources. The web-based interventions were generally aimed at supporting employees with their mental health issues. The study characteristics were outlined in a table as well as graded based on their quality using a traffic light schema. The level of acceptability was individually rated using commonly applied methods, including percentile quartiles ranging from low to very high.
resultsA total of 1303 studies were identified through multiple database searches and additional resources, from which 28 (2%) were rated as eligible for the synthesis. The results of employees' acceptability levels were mixed, and the studies were very heterogeneous in design, intervention characteristics, and population. Approximately 79% (22/28) of the studies outlined acceptability measures from high to very high, and 54% (15/28) of the studies reported acceptability levels from low to moderate (overlap when studies reported both quantitative and qualitative results). Qualitative studies also provided insights into barriers and preferences, including simple and tailored application tools as well as the preference for nonstigmatized language. However, there were multiple flaws in the methodology of the studies, such as the blinding of participants and personnel.
conclusionsThe results outline the need for further research with more homogeneous acceptability studies to draw a final conclusion. However, the underlying results show that there is a tendency toward general acceptability of web-based interventions in the workplace, with findings of general applicability to the use of web-based mental health interventions.
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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.