Evidence map›Paper›PMID 28778839›Full record

ArticleJMIR mental health2017

Development and Evaluation of Digital Game-Based Training for Managers to Promote Employee Mental Health and Reduce Mental Illness Stigma at Work: Quasi-Experimental Study of Program Effectiveness.

Sabine Elisabeth Hanisch, Ulrich Walter Birner, Cornelia Oberhauser, Dennis Nowak, Carla Sabariego

Open access · goldAbstract read
In one paragraph

Article in JMIR mental health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Interventions to reduce the stigma of mental health at work: a narrative review.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
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 3 institutions in 2 countries.

Sabine Elisabeth HanischDepartment of Medical Informatics, Biometry and Epidemiology, Chair for Public Health and Health Services Research, Research Unit for Biopsychosocial Health, Ludwig-Maximilians-University Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-9513-6629
Ulrich Walter BirnerHR EHS, Department of Psychosocial Health and Well-being, Siemens AG, Munich, Germany.ORCID http://orcid.org/0000-0001-8241-7296
Cornelia OberhauserDepartment of Medical Informatics, Biometry and Epidemiology-IBE, Chair for Public Health and Health Services Research, Research Unit for Biopsychosocial Health, Ludwig-Maximilians-University Munich, Munich, Germany.ORCID http://orcid.org/0000-0003-0235-9853
Dennis NowakInstitute and Outpatient Clinic for Occupational, Social and Environmental Medicine, WHO Collaborating Centre for Occupational Health, Clinic of Ludwig-Maximilians-University Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-7871-8686
Carla SabariegoDepartment of Medical Informatics, Biometry and Epidemiology-IBE, Chair for Public Health and Health Services Research, Research Unit for Biopsychosocial Health, Ludwig-Maximilians-University Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-6946-0177
Zimmer Biomet (Netherlands) · NLLudwig-Maximilians-Universität München · DESiemens (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo counteract the negative impact of mental health problems on business, organizations are increasingly investing in mental health intervention measures. However, those services are often underused, which, to a great extent, can be attributed to fear of stigmatization. Nevertheless, so far only a few workplace interventions have specifically targeted stigma, and evidence on their effectiveness is limited.

objectiveThe objective of this study was to develop and evaluate a digital game-based training program for managers to promote employee mental health and reduce mental illness stigma at work.

methodsWe describe the empirical development of Leadership Training in Mental Health Promotion (LMHP), a digital game-based training program for leaders. A 1-group pre-post design and a 3-month follow-up were used for training evaluation. We applied multilevel growth models to investigate change over time in the dependent variables knowledge, attitudes, self-efficacy, and intentions to promote employee mental health in 48 managers of a global enterprise in the United Kingdom. Participants were mainly male (44/48, 92%) and ranged in age from 32 to 58 (mean 46.0, SD 7.2) years.

resultsWe found a positive impact of the Web-based training program on managers' knowledge of mental health and mental illness (P<.001), on attitudes toward people with mental health problems (P<.01), and on their self-efficacy to deal with mental health situations at work (P<.001), with the exception of intentions to promote employee mental health, which was initially high.

conclusionsResults provide first evidence of the effectiveness of LMHP to positively affect managers' skills to promote employee mental health at work. Furthermore, the high rate of participation in LMHP (48/54, 89%) supports the use of digital game-based interventions to increase user engagement and user experience in mental health programs at work.

Indexed as

eHealthhealth promotionInternetleadershipmental healthpreventionstigmaworkplace

Identifiers

PMID28778839
PMCPMC5562929
OpenAlexW2744763211

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.