Evidence map›Paper›PMID 38642919›Full record

Trial reportBMJ mental health2024

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

Hanna Brückner, Sebastian Wallot, Hanne Horvath, David Daniel Ebert, Dirk Lehr

Open access · diamondAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Hanna BrücknerInstitute for Sustainability Education and Psychology, Department of Health Psychology and Applied Biological Psychology, Leuphana University, Lüneburg, Germany hanna.brueckner@leuphana.de.ORCID http://orcid.org/0009-0003-4406-7872
Sebastian WallotInstitute for Sustainability Education and Psychology, Department of Methodology and Evaluation Research, Leuphana University, Lüneburg, Germany.ORCID http://orcid.org/0000-0002-3626-3940
Hanne HorvathGET.ON Institute for Online Health Trainings GmbH, Berlin, Germany.ORCID http://orcid.org/0000-0001-5594-754X
David Daniel EbertInstitute for Psychology & Digital Mental Health Care, Department of Sports and Health Sciences, Technical University, Munich, Germany.ORCID http://orcid.org/0000-0001-6820-0146
Dirk LehrInstitute for Sustainability Education and Psychology, Department of Health Psychology and Applied Biological Psychology, Leuphana University, Lüneburg, Germany.ORCID http://orcid.org/0000-0002-5560-3605
Leuphana University of Lüneburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlurred work-non-work boundaries can have negative effects on mental health, including sleep.

objectivesIn 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.

methods128 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).

findingsA greater reduction in insomnia was observed in the intervention compared with the WLC group at both T2 (

conclusionsThe 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.

Indexed as

Cognitive Behavioral TherapySleep Initiation and Maintenance DisordersBayes TheoremData CollectionHumansSleepData Interpretation, StatisticalDepression & mood disordersSleep

Identifiers

PMID38642919
PMCPMC11033646
OpenAlexW4394976223

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.