PubData Leuphana Repository: Effectiveness of an online recovery training for employees exposed to blurred boundaries between work and non-work: Bayesian analysis of a randomised controlled trial

Please use this identifier to cite or link to this item: https://doi.org/10.48548/pubdata-1423

Resource type	Journal Article
Title(s)	Effectiveness of an online recovery training for employees exposed to blurred boundaries between work and non-work: Bayesian analysis of a randomised controlled trial
DOI	10.48548/pubdata-1423
Handle	20.500.14123/1492
Creator	Brückner, Hanna 0009-0003-4406-7872 Wallot, Sebastian 0000-0002-3626-3940 Horvath, Hanne 0000-0001-5594-754X Ebert, David Daniel 0000-0001-6820-0146 Lehr, Dirk 0000-0002-5560-3605
Abstract	Background Blurred work–non-work boundaries can have negative effects on mental health, including sleep. Objectives In a randomised control trial, we aimed to assess the effectiveness of an online recovery training programme designed to improve symptoms of insomnia in a working population exposed to blurred boundaries. Methods 128 participants with severe insomnia symptoms (Insomnia Severity Index ≥15) and working under blurred work and non-work conditions (segmentation supplies <2.25) were randomly assigned to either the recovery intervention or a waitlist control group (WLC). The primary outcome was insomnia severity, assessed at baseline, after 2 months (T2) and 6 months (T3). Findings A greater reduction in insomnia was observed in the intervention compared with the WLC group at both T2 (d=1.51; 95% CI=1.12 o 1.91) and T3 (d=1.63; 95% CI=1.23 to 2.03]. This was shown by Bayesian analysis of covariance (ANCOVA), whereby the ANCOVA model yielded the highest Bayes factor (BF 10=3.23×e60] and a 99.99% probability. Likewise, frequentist analysis revealed significantly reduced insomnia at both T2 and T3. Beneficial effects were found for secondary outcomes including depression, work-related rumination, and mental detachment from work. Study attrition was 16% at T2 and 44% at T3. Conclusions The recovery training was effective in reducing insomnia symptoms, work related and general indicators of mental health in employees exposed to blurred boundaries, both at T2 and T3. Clinical implications In addition to demonstrating the intervention’s effectiveness, this study exemplifies the utilisation of the Bayesian approach in a clinical context and shows its potential to empower recipients of interventional research by offering insights into result probabilities, enabling them to draw informed conclusions.
Language	English
Keywords	Bayes Theorem; Cognitive Behavior; Therapy; Sleep; Sleep Initiation; Disorder; Sleep Onset
Year of publication in PubData	2024
Publishing type	Parallel publication
Publication version	Published version
Date issued	2024-04-19
Creation context	Research
Notes	This publication was funded by the German Research Foundation (DFG).
Published by	Medien- und Informationszentrum, Leuphana Universität Lüneburg
Related resources	Relations of this publication Relations of this publication

Information regarding first publication

Field	Value
Resource type	Journal
Title of the resource type	BMJ Mental Health
Identifier	DOI: 10.1136/bmjment-2024-301016
Publication year	2024
Volume	27
Issue	1
Number	e301016
Number type	Article
Publisher	BMJ Publishing Group