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Effectiveness of an online recovery training for employees exposed to blurred boundaries between work and non-work: Bayesian analysis of a randomised controlled trial.
BMJ Mental Health ( IF 6.6 ) Pub Date : 2024-04-19 , DOI: 10.1136/bmjment-2024-301016
Hanna Brückner 1 , Sebastian Wallot 2 , Hanne Horvath 3 , David Daniel Ebert 4 , Dirk Lehr 5
Affiliation  

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

中文翻译:


对工作与非工作界限模糊的员工进行在线恢复培训的有效性:随机对照试验的贝叶斯分析。



背景技术模糊的工作与非工作界限会对心理健康(包括睡眠)产生负面影响。目标 在一项随机对照试验中,我们旨在评估在线恢复训练计划的有效性,该计划旨在改善边界模糊的工作人群的失眠症状。方法 128 名患有严重失眠症状(失眠严重指数≥15)且工作与非工作条件模糊(分段供给<2.25)的参与者被随机分配到恢复干预组或候补对照组(WLC)。主要结局是在基线、2 个月 (T2) 和 6 个月 (T3) 后评估的失眠严重程度。结果 与 WLC 组相比,干预组在 T2(d=1.51;95% CI=1.12 o 1.91)和 T3(d=1.63;95% CI=1.23 至 2.03)中观察到失眠程度有更大程度的减少。贝叶斯协方差分析 (ANCOVA) 显示,ANCOVA 模型产生最高的贝叶斯因子 (BF 10=3.23×e60] 和 99.99% 的概率。同样,频率分析显示 T2 和 T3 的失眠症显着减少。有益效果是研究发现,次要结果包括抑郁、与工作相关的沉思和脱离工作的精神流失,T2 时为 16%,T3 时为 44%。 结论 恢复训练可有效减少失眠症状、工作相关心理健康指标和一般心理健康指标。在 T2 和 T3 中,员工都面临着模糊的界限。 临床意义 除了证明干预措施的有效性之外,本研究还举例说明了贝叶斯方法在临床环境中的应用,并显示了其通过提供对结果概率的见解来增强干预研究接受者的潜力,使他们能够得出明智的结论。试验注册号 德国临床试验注册 (DRKS):DRKS00006223,https://drks.de/search/de/Trial/DRKS00006223。
更新日期:2024-04-19
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