Effectiveness of Digital Psychological Interventions in Reducing Anxiety Symptoms Among Healthcare Workers: A Systematic Review and Meta-Analysis (2020–2025)

Abstract Objective: This systematic review and meta-analysis aimed to evaluate the effectiveness of digital psychological interventions in reducing anxiety symptoms among healthcare workers between 2020 and 2025. Methods: A comprehensive search was conducted in PubMed, Scopus, and PsycINFO. Fourteen randomized controlled trials (RCTs) involving 4,751 participants were included. Standardized mean differences (Hedges’ g) were calculated, and heterogeneity was assessed using the I² statistic. Results: Digital interventions—including mobile applications, internet-based cognitive behavioral therapy (iCBT), teletherapy, and hybrid models—demonstrated significant reductions in anxiety symptoms. The pooled effect size was moderate (Hedges’ g = -0.57; 95% CI: -0.61 to -0.53) with no statistical heterogeneity (I² = 0%). The most effective interventions were iCBT and therapist-assisted hybrid models. Conclusion: Digital psychological interventions are effective and scalable tools for reducing anxiety among healthcare workers. Their integration into occupational health programs can enhance accessibility to mental health support. Future studies should explore long-term outcomes and cost-effectiveness.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-18
DOI
https://doi.org/10.5281/zenodo.17150248
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Effectiveness of Digital Psychological Interventions in Reducing Anxiety Symptoms Among Healthcare Workers: A Systematic Review and Meta-Analysis (2020–2025)

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Effectiveness of Digital Psychological Interventions in Reducing Anxiety Symptoms Among Healthcare Workers: A Systematic Review and Meta-Analysis (2020–2025)

article en

Abstract

Abstract Objective: This systematic review and meta-analysis aimed to evaluate the effectiveness of digital psychological interventions in reducing anxiety symptoms among healthcare workers between 2020 and 2025. Methods: A comprehensive search was conducted in PubMed, Scopus, and PsycINFO. Fourteen randomized controlled trials (RCTs) involving 4,751 participants were included. Standardized mean differences (Hedges’ g) were calculated, and heterogeneity was assessed using the I² statistic. Results: Digital interventions—including mobile applications, internet-based cognitive behavioral therapy (iCBT), teletherapy, and hybrid models—demonstrated significant reductions in anxiety symptoms. The pooled effect size was moderate (Hedges’ g = -0.57; 95% CI: -0.61 to -0.53) with no statistical heterogeneity (I² = 0%). The most effective interventions were iCBT and therapist-assisted hybrid models. Conclusion: Digital psychological interventions are effective and scalable tools for reducing anxiety among healthcare workers. Their integration into occupational health programs can enhance accessibility to mental health support. Future studies should explore long-term outcomes and cost-effectiveness.

Zenodo (CERN European Organization for Nuclear Research)
Cities On Internet Association (PL), University of Bydgoszcz (PL), Academy of Fine Arts in Katowice (PL), State University of Applied Sciences in Elbląg (PL), Wojewódzki Szpital Zespolony (PL), Okręgowy Szpital Kolejowy (PL)
Openalex Percentile: Top 35%
Geochemistry and Geologic Mapping
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Effectiveness of Digital Psychological Interventions in Reducing Anxiety Symptoms Among Healthcare Workers: A Systematic Review and Meta-Analysis (2020–2025) · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS