Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/226762

Economic evaluations of eHealth interventions targeting mental health problems in the workplace: a systematic review

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Abstract

Background: Work-related mental health problems impose significant economic and personal burdens. eHealth interventions may offer low-cost, practical solutions, but guidance on their cost-effectiveness in workplace mental health is limited. Objective: The objective of this study was to systematically review economic evaluations of workplace eHealth interventions for mental health, offering insights into methodologies and cost-effectiveness outcomes. Methods: Adhering to PRISMA guidelines, searches were conducted in Embase, MEDLINE, Web of Science, Google Scholar, Cochrane library, PsycInfo and EconLit databases in May 2022, selecting peer-reviewed papers that performed economic evaluations on workplace eHealth interventions for adult mental health. Quality was assessed using the Drummond checklist.Results: From 3213 references, eight met the inclusion criteria. These studies varied in economic perspective, types of economic analysis type, primary outcome measures, intervention focus (e.g. stress, alcohol, insomnia & return-to-work) and direct non-medical costs. Five eHealth interventions were found to be cost-effective and/or have a positive return on investment, with seven studies rated as high quality according to the Drummond checklist. Conclusions: The study outcomes unveiled the potential cost-effectiveness of eHealth interventions targeting mental health issues, particularly these focusing on workplace stress. However, generalization is challenging due to variations in the methodologies across studies.

Citation

Citation

PEETERS, Stijn B., et al. Economic evaluations of eHealth interventions targeting mental health problems in the workplace: a systematic review. Journal of Mental Health. 2025. Vol. 34, num. 5, pags. 580-595. ISSN 0963-8237. [consulted: 15 of June of 2026]. Available at: https://hdl.handle.net/2445/226762

Export metadata

JSON - METS

Share record