Evidence map›Paper›PMID 34856964›Full record

ArticleBMC public health2021

Risk factors for digital stress in German public administrations.

Sammy Joelle Shirley Wrede, Dominique Rodil Dos Anjos, Jan Patrick Kettschau, Horst Christoph Broding, Kevin Claassen

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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.

Sammy Joelle Shirley WredeFaculty of Health Department of Human Medicine, Chair of Occupational Medicine and Corporate Health Management, Witten/Herdecke University, Witten, Germany. Sammy.Wrede@uni-wh.de.
Dominique Rodil Dos AnjosFaculty of Health Department of Human Medicine, Chair of Occupational Medicine and Corporate Health Management, Witten/Herdecke University, Witten, Germany.ORCID https://orcid.org/0000-0001-8722-4549
Jan Patrick KettschauFaculty of Health Department of Human Medicine, Chair of Occupational Medicine and Corporate Health Management, Witten/Herdecke University, Witten, Germany.
Horst Christoph BrodingFaculty of Health Department of Human Medicine, Chair of Occupational Medicine and Corporate Health Management, Witten/Herdecke University, Witten, Germany.
Kevin ClaassenFaculty of Health Department of Human Medicine, Chair of Occupational Medicine and Corporate Health Management, Witten/Herdecke University, Witten, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAs the digitization of the working world progresses, the demands on employees change. Not least, this is true for the setting of public administrations in Germany, which is currently affected by the transformation to E-Government. This study aims to identify and describe a risk cluster of digitally stressed employees in public administrations.

methodsAn online sample of 710 employees from three public administrations in North Rhine-Westphalia were surveyed about digital stress (7 items) and several potential risk factors (19 items) derived from the current research. In the first step, a hierarchical agglomerative cluster analysis is used to detect the risk cluster. This is followed by a comparison to the group of the remaining employees regarding their risk profiles.

resultsThe analysis states that the digitally stressed cluster accounts for approximately ten percent of the public administration's employees of the total sample. Employees in the risk cluster are less satisfied with on-site work overall, experience less collegial support on-site, experience less collegial support in the home office, resign more often, are more likely to feel overwhelmed, are less educated, are older in age and more often have relatives in need of care.

conclusionThis work was able to identify and describe a group of digitally stressed rather than left-behind employees in public administrations to bring awareness to potentially destructive factors in the digital transformation process but eventually to social inequalities. The findings offer the basis for interventions to arise and evoke potential for further research.

Indexed as

Risk FactorsGermanyHumansSocioeconomic FactorsSurveys and QuestionnairesCluster analysisDigital stressDigitizationPublic administrationRisk factors

Identifiers

PMID34856964
PMCPMC8639295

What Socratic 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 Socratic graph.