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Differential attrition and engagement in randomized controlled trials of occupational mental health interventions in person and online: A systematic review and meta-analysis

de Miquel, Carlota, Haro, Josep Maria, van der Feltz-Cornelis, Christina M, Ortiz-Tallo, Ana, Chen, Tom, Sinokki, Marjo, Naumanen, Päivi, Olaya, Beatriz, Lima, Rodrigo A (2024) Differential attrition and engagement in randomized controlled trials of occupational mental health interventions in person and online: A systematic review and meta-analysis. Scandinavian Journal of Work, Environment & Health, 50 (8). pp. 588-601. ISSN 0355-3140. E-ISSN 1795-990X. (doi:10.5271/sjweh.4173) (KAR id:107589)

Abstract

Objective

This study systematically reviewed and meta-analyzed the differential attrition and utilization of occupational mental health interventions, specifically examining delivery methods (internet-based versus in-person).

Methods

The research, with papers spanning 2010–2024, involved filtering criteria and comprehensive searches across PubMed, Scopus, and Web of Science Core (PROSPERO registration n. CRD42022322394). Of 28 683 titles, 84 records were included in the systematic review, with 75 in meta-analyses. Risk of bias was assessed

through the revised Cochrane risk of bias tool for randomized control trials and funnel plots. Differential attrition across studies was meta-analysed through a random-effects model with limited maximum-likelihood estimation for the degree of heterogeneity.

Results

Findings reveal higher mean differential attrition in the intervention group, indicating a potential challenge in maintaining participant engagement. The attrition rates were not significantly influenced by the mode of intervention delivery (internet versus in-person). Compensation for participation and year of publication could potentially influence differential attrition from baseline to follow-up measurements.

Conclusions

These results suggest a need for cautious consideration of attrition in occupational mental health intervention study designs and emphasize the importance of adapting statistical analyses to mitigate potential bias arising from differential attrition.

Item Type: Article
DOI/Identification number: 10.5271/sjweh.4173
Uncontrolled keywords: drop-out; employee; methodology; psychology
Subjects: H Social Sciences > HF Commerce
Institutional Unit: Schools > Kent Business School
Former Institutional Unit:
Divisions > Kent Business School - Division > Department of Marketing, Entrepreneurship and International Business
Funders: European Union (https://ror.org/019w4f821)
Depositing User: Tom Chen
Date Deposited: 23 Oct 2024 12:44 UTC
Last Modified: 02 Mar 2026 16:17 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/107589 (The current URI for this page, for reference purposes)

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