ReviewAmerican journal of public health2024
Pragmatic Approach to the Assessment and Use of Digital Mental Health Interventions for Health Workers.
Review in American journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- The M.A.G.I.C. framework for mHealth development: applying game design principles from 'Magic: The Gathering'.Frontiers in psychology · 2026Article
- A Proposed Taxonomy to Holistically Classify Employee Mental Health Programs: Qualitative Taxonomy Development Study.Interactive journal of medical research · 2025Article
- The Potentials of Digital Workplace Health Promotion.International journal of environmental research and public health · 2024Article
- An Artificial Intelligence-Based Virtual Human Avatar Application to Assess the Mental Health of Health Care Professionals: A Validation Study.Journal of medical extended reality · 2024Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Symptoms of poor mental health among working people, especially health workers, are on the rise in the United States, contributing to a burgeoning market of thousands of mental health technology products, few of which have undergone rigorous evaluation. Most research on these products focuses on deploying digital mental health interventions as ancillary support in clinical practice and community settings. Little is known of the effectiveness of these tools when employers offer them. We describe the landscape of digital mental health interventions, providing an overview of mental health conditions that are addressed with technology-based solutions in the workplace and the products and services available. We argue for employers to apply a methodical approach to evaluating and selecting technologies for their organizations, and we review relevant frameworks for evaluation. Considering the rapidly evolving landscape of digital mental health interventions, we offer evidence-informed recommendations to organizations and decision-makers seeking to support workplace mental health and well-being, and we advocate the development of products that help organizations assess how they can mitigate workplace conditions that may contribute to poorer mental health. (
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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.