工作与非工作边界模糊环境下员工在线康复训练的效果：一项随机对照试验的贝叶斯分析。

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

机构信息

Institute for Sustainability Education and Psychology, Department of Health Psychology and Applied Biological Psychology, Leuphana University, Lüneburg, Germany

Institute for Sustainability Education and Psychology, Department of Methodology and Evaluation Research, Leuphana University, Lüneburg, Germany.

出版信息

BMJ Ment Health. 2024 Apr 19;27(1):e301016. doi: 10.1136/bmjment-2024-301016.

DOI:10.1136/bmjment-2024-301016

PMID:38642919

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11033646/

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 (=1.51; 95% CI=1.12 o 1.91) and T3 (=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 ( =3.23×e] 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.

TRIAL REGISTRATION NUMBER

German Clinical Trial Registration (DRKS): DRKS00006223, https://drks.de/search/de/trial/DRKS00006223.

摘要

背景

工作与非工作边界模糊会对心理健康产生负面影响，包括睡眠。

目的

在一项随机对照试验中，我们旨在评估一种旨在改善暴露于模糊边界下的工作人群失眠症状的在线恢复训练计划的有效性。

方法

128 名严重失眠症状（失眠严重程度指数≥15）且工作环境模糊（分割供应<2.25）的参与者被随机分配到恢复干预组或等待名单对照组（WLC）。主要结局是在基线、2 个月（T2）和 6 个月（T3）时评估的失眠严重程度。

发现

与 WLC 组相比，干预组在 T2（=1.51；95%CI=1.12-1.91）和 T3（=1.63；95%CI=1.23-2.03）时失眠症状的改善更为显著。这是通过协方差分析的贝叶斯分析（ANCOVA）显示的，其中 ANCOVA 模型产生了最高的贝叶斯因子（=3.23×e]，概率为 99.99%。同样，在 T2 和 T3 时，频繁主义分析也显示出失眠明显减少。次要结局，包括抑郁、与工作相关的反刍思维和从工作中精神解脱，也有有益的效果。在 T2 时的研究脱落率为 16%，在 T3 时为 44%。