Evidence map›Paper›PMID 36166285›Full record

SynthesisJournal of medical Internet research2022

Trends in Effectiveness of Organizational eHealth Interventions in Addressing Employee Mental Health: Systematic Review and Meta-analysis.

Elizabeth Stratton, Amit Lampit, Isabella Choi, Hanna Malmberg Gavelin, Melissa Aji, Jennifer Taylor, Rafael A Calvo, Samuel B Harvey, Nick Glozier

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
8.3field-weighted citation impact, top 2% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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  9. Digital Wellness Programs in the Workplace: Meta-Review.Journal of medical Internet research · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Elizabeth StrattonCentral Clinical School, Faculty of Health and Medicine, University of Sydney, Camperdown, Australia.ORCID 0000-0003-0699-7588
Amit LampitAcademic Unit for Psychiatry of Old Age, University of Melbourne, Parkville, Australia.ORCID 0000-0001-6522-8397
Isabella ChoiCentral Clinical School, Faculty of Health and Medicine, University of Sydney, Camperdown, Australia.ORCID 0000-0001-6033-1563
Hanna Malmberg GavelinAcademic Unit for Psychiatry of Old Age, University of Melbourne, Parkville, Australia.ORCID 0000-0003-3256-9018
Melissa AjiCentral Clinical School, Faculty of Health and Medicine, University of Sydney, Camperdown, Australia.ORCID 0000-0003-4497-888X
Jennifer TaylorCentral Clinical School, Faculty of Health and Medicine, University of Sydney, Camperdown, Australia.ORCID 0000-0003-2152-4287
Rafael A CalvoDyson School of Design Engineering, Imperial College London, London, United Kingdom.ORCID 0000-0003-2238-0684
Samuel B HarveySchool of Psychiatry, University of New South Wales, Sydney, Australia.ORCID 0000-0001-9580-3743
Nick GlozierCentral Clinical School, Faculty of Health and Medicine, University of Sydney, Camperdown, Australia.ORCID 0000-0002-0476-9146
The University of Sydney · AUThe University of Melbourne · AUBlack Dog Institute · AUDyson (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental health conditions are considered the leading cause of disability, sickness absence, and long-term work incapacity. eHealth interventions provide employees with access to psychological assistance. There has been widespread implementation and provision of eHealth interventions in the workplace as an inexpensive and anonymous way of addressing common mental disorders.

objectiveThis updated review aimed to synthesize the literature on the efficacy of eHealth interventions for anxiety, depression, and stress outcomes in employee samples in organizational settings and evaluate whether their effectiveness has improved over time.

methodsSystematic searches of relevant articles published from 2004 to July 2020 of eHealth intervention trials (app- or web-based) focusing on the mental health of employees were conducted. The quality and bias of all studies were assessed. We extracted means and SDs from publications by comparing the differences in effect sizes (Hedge g) in standardized mental health outcomes. We meta-analyzed these data using a random-effects model.

resultsWe identified a tripling of the body of evidence, with 75 trials available for meta-analysis from a combined sample of 14,747 articles. eHealth interventions showed small positive effects for anxiety (Hedges g=0.26, 95% CI 0.13-0.39; P<.001), depression (Hedges g=0.26, 95% CI 0.19-0.34; P<.001), and stress (Hedges g=0.25, 95% CI 0.17-0.34; P<.001) in employees' after intervention, with similar effects seen at the medium-term follow-up. However, there was evidence of no increase in the effectiveness of these interventions over the past decade.

conclusionsThis review and meta-analysis confirmed that eHealth interventions have a small positive impact on reducing mental health symptoms in employees. Disappointingly, we found no evidence that, despite the advances in technology and the enormous resources in time, research, and finance devoted to this area for over a decade, better interventions are being produced. Hopefully, these small effect sizes do not represent optimum outcomes in organizational settings.

trial registrationPROSPERO CRD42020185859; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=185859.

Indexed as

Occupational HealthTelemedicineAnxiety DisordersHumansMental HealthWorkplaceeHealthemployeemental healthmobile phonesystematic review

Identifiers

PMID36166285
PMCPMC9555335
OpenAlexW4288767357

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.