An umbrella review of efficacy of digital health interventions for workers

Efficacy of digital health (d-Health) interventions on workers' physical activity (PA), sedentary behavior, and physiological outcomes remains unclear. This umbrella review searched PubMed, Cochrane Library, and Google Scholar up to October 25, 2024. We identified 24 systematic reviews (SRs) and selected 130 individual studies from these SRs for analysis. The AMSTAR 2 tool rated the quality of most SRs as critically low. Narrative syntheses suggested that d-Health interventions could potentially improve all outcomes compared with no intervention. However, whether d-Health interventions outperform non-d-Health interventions remains uncertain. Meta-analyses showed a significantly small effect of d-Health interventions on step counts, sedentary/sitting time, and weight compared with no intervention, while d-Health interventions slightly improved only moderate-to-vigorous PA compared with non-d-Health interventions. Subgroup analyses identified potential sources of heterogeneity (e.g., risk of bias, control conditions), which may vary between outcomes. Further high-quality studies are needed to evaluate the efficacy of d-Health interventions.

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Publication Details

Journal
npj Digital Medicine
Published
2025-04-14
DOI
https://doi.org/10.1038/s41746-025-01578-2
Citations
8
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
22.52

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article

An umbrella review of efficacy of digital health interventions for workers

Michiko Nohara, Kyoko Nomura, Teiichiro Yamazaki, Songee Jung et al.
8 citations
npj Digital Medicine
Mobile Health and mHealth Applications
22.52
article

An umbrella review of efficacy of digital health interventions for workers

Michiko Nohara, Kyoko Nomura, Teiichiro Yamazaki, Songee Jung, Masahiro Iwakura, Takako Miki, Chihiro Ozeki
article en
8 citations

Abstract

Efficacy of digital health (d-Health) interventions on workers' physical activity (PA), sedentary behavior, and physiological outcomes remains unclear. This umbrella review searched PubMed, Cochrane Library, and Google Scholar up to October 25, 2024. We identified 24 systematic reviews (SRs) and selected 130 individual studies from these SRs for analysis. The AMSTAR 2 tool rated the quality of most SRs as critically low. Narrative syntheses suggested that d-Health interventions could potentially improve all outcomes compared with no intervention. However, whether d-Health interventions outperform non-d-Health interventions remains uncertain. Meta-analyses showed a significantly small effect of d-Health interventions on step counts, sedentary/sitting time, and weight compared with no intervention, while d-Health interventions slightly improved only moderate-to-vigorous PA compared with non-d-Health interventions. Subgroup analyses identified potential sources of heterogeneity (e.g., risk of bias, control conditions), which may vary between outcomes. Further high-quality studies are needed to evaluate the efficacy of d-Health interventions.

npj Digital MedicineVol. 8(1)
Akita University (JP), Tokyo Women's Medical University (JP)
Japan Agency for Medical Research and Development
Gender equality
Openalex Percentile: Top 1%
Mobile Health and mHealth Applications
22.52
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