Evidence map›Paper›PMID 42719120›Full record

ArticleFrontiers in public health2026

The association between core functions of algorithmic management and work-related health problems: indications for effects beyond well-known psychosocial stressors.

Andreas Müller, Ivaneta Danailova, Michael Ertel, Harald Gündel, Meike Heming, Anne Kemter, Louisa Scheepers, Carsten Röttgen

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Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Andreas MüllerInstitute of Psychology, Work and Organizational Psychology, University of Duisburg-Essen, Universitätsstr, Essen, Germany.
Ivaneta DanailovaInstitute of Psychology, Work and Organizational Psychology, University of Duisburg-Essen, Universitätsstr, Essen, Germany.
Michael ErtelFederal Institute for Occupational Safety and Health, Berlin, Germany.
Harald GündelClinic for Psychosomatic Medicine and Psychotherapy, University of Ulm, Ulm, Germany.
Meike HemingClinic for Psychosomatic Medicine and Psychotherapy, University of Ulm, Ulm, Germany.
Anne KemterFederal Institute for Occupational Safety and Health, Dresden, Germany.
Louisa ScheepersClinic for Psychosomatic Medicine and Psychotherapy, University of Ulm, Ulm, Germany.
Carsten RöttgenInstitute of Psychology, Work and Organizational Psychology, University of Duisburg-Essen, Universitätsstr, Essen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Algorithmic management (AM) marks a transformation in work organization as managerial decisions increasingly rely on data-driven algorithms. While research suggests that AM may affect employee health, empirical evidence remains fragmented. This study examines whether associations between AM and work-related health impairments generalize across occupations. Methods: Data from the cross-sectional Flash Eurobarometer "OSH Pulse" ( Results: Findings show that with each additional AM function the likelihood of reported health problems increased modestly but constantly (OR = 1.06-1.11). Among the single AM functions examined, monitoring appeared to have most consistent associations with workers health problems. Discussion: Findings suggest that AM may represent an additional risk factor for worker health accross different occupations. However, results should be interpreted cautiously due to non-established screening measures and an overrepresentation of tertiary-educated workers.

Indexed as

AlgorithmsOccupational DiseasesOccupational HealthOccupational StressStress, PsychologicalAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsWorking Conditionsalgorithmic managementdigitalisationemployee well-beingrisk assessmentwork design

Identifiers

PMID42719120
PMCPMC13553848

What OpenQuestion holds

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Registered trials

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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.