Cited by 55Digital Mental Health InterventionsWorkplace Health and Well-beingMobile Health and mHealth Applications

Effectiveness of tailored digital health interventions for mental health at the workplace: A systematic review of randomised controlled trials

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Moe-Byrne, Thirimon, Shepherd, Jessie, Merecz-Kot, Dorota, Sinokki, Marjo, Naumanen, Päivi, Hakkaart-van Roijen, Leona, Van Der Feltz-Cornelis, Christina·2022·PLOS Digital Health

Abstract

Mental health problems in the workplace are common and have a considerable impact on employee wellbeing and productivity. Mental ill-health costs employers between £33 billion and £42 billion a year. According to a 2020 HSE report, roughly 2,440 per 100,000 workers in the UK were affected by work-related stress, depression, or anxiety, resulting in an estimated 17.9 million working days lost. We performed a systematic review of randomised controlled trials (RCTs) to assess the effect of tailored digital health interventions provided in the workplace aiming to improve mental health, presenteeism and absenteeism of employees. We searched several databases for RCTs published from 2000 onwards. Data were extracted into a standardised data extraction form. The quality of the included studies was assessed using the Cochrane Risk of Bias tool. Due to the heterogeneity of outcome measures, narrative synthesis was used to summarise the findings. Seven RCTs (eight publications) were included that evaluated tailored digital interventions versus waiting list control or usual care to improve physical and mental health outcomes and work productivity. The results are promising to the advantage of tailored digital interventions regarding presenteeism, sleep, stress levels, and physical symptoms related to somatisation; but less for addressing depression, anxiety, and absenteeism. Even though tailored digital interventions did not reduce anxiety and depression in the general working population, they significantly reduced depression and anxiety in employees with higher levels of psychological distress. Tailored digital interventions seem more effective in employees with higher levels of distress, presenteeism or absenteeism than in the general working population. There was high heterogeneity in outcome measures, especially for work productivity; this should be a focus of attention in future studies.

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  1. [39]Higgins JPT, Altman DG, Sterne JACe. Chapter 8: Assessing risk of bias in included studies. In: Higgins JPT, Churchill R, Chandler J, Cumpston MS (editors): Cochrane Handbook for Systematic Reviews of Interventions version 5.2.0 (updated June 2017), Cochrane; 2017 [cited 2021 July 21]. Available from: https://training.cochrane.org/handbook.
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Authors
Moe-Byrne, T., Shepherd, J., Merecz-Kot, D., Sinokki, M., Naumanen, P., Hakkaart-van Roijen, L., & Van Der Feltz-Cornelis, C.
Affiliations
  • University of York (GB)
  • University of Turku (FI)
Venue
PLOS Digital Health
Published
2022-10-21
Volume
1
Issue
10
Pages
e0000123
ISSN
2767-3170 (ISSN-L)
OpenAlex
W4307003123
Cited by
55
References
59
Citations by year
2026: 14 · 2025: 17 · 2024: 18 · 2023: 6
FWCI
1.82
Type
journal article
Language
en
Open access
Locations
  • PLOS Digital Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, cc-by)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
  • UCL Discovery (University College London) (submittedVersion, cc-by)
  • UTUPub (University of Turku) (submittedVersion, public-domain)
  • UTUPub (University of Turku) (submittedVersion, cc-by)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
Horizon 2020 (848180)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Health Professions › General Health Professions › Workplace Health and Well-being
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
workplace mental health, presenteeism, absenteeism, labor productivity, psychological distress, depression, anxiety, occupational stress, sleep, somatization, employee well-being

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