Evidence map›Paper›PMID 42545247›Full record

ArticleLa Medicina del lavoro2026

The Impact of Robotization on Employees' Mental and Physical Health: A Qualitative Study in the Czech and Slovak Republics.

Viola Hubačová Pirová, Vladimíra Lipšová, Jana Murza, Zdeněk Musil, Vladimír Musil, Ivana Líbalová

Abstract read
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Article in La Medicina del lavoro, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Viola Hubačová PirováNational Institute of Public Health, Prague, Czech Republic.ORCID 0000-0001-5871-2535
Vladimíra LipšováNational Institute of Public Health, Prague, Czech Republic, Department of Occupational Medicine, General University Hospital and First Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID 0000-0003-4041-5035
Jana MurzaNational Institute of Public Health, Prague, Czech Republic.
Zdeněk MusilNational Institute of Public Health, Prague, Czech Republic.ORCID 0000-0001-9134-8851
Vladimír MusilCentre of Scientific Information, Third Faculty of Medicine, Charles University, Prague, Czech Republic , Department of Anatomy, Second Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID 0000-0002-0107-690X
Ivana LíbalováNational Institute of Public Health, Prague, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to explore the impact of introducing robotic technologies on employees' mental and physical health across three Czech and one Slovak manufacturing company. It sought to understand employees' subjective experiences and perceptions of organizational support during the robotization process.

methodsA qualitative study was conducted between 2023 and 2025 in four companies. 27 semi-structured interviews with employees (15 women, 12 men) and 19 unstructured interviews with managers (3 women, 16 men) were conducted on-site during working hours. Data were analyzed using thematic analysis with open and axial coding.

resultsNine thematic areas were identified: general perceptions, change, fear, problems, support, social relations and communication, employee characteristics, physical health, and mental health. Employees generally perceived robotization positively, noting reduced physical workload and less monotonous or hazardous work. Initial adaptation was challenging, especially due to technical demands and workflow changes. Technical staff experienced higher stress than operators, related to responsibility, troubleshooting, and learning new skills. Technical malfunctions, elevated noise and vibration, and cognitive demands were reported as stressors. Personifying robots and informal knowledge sharing facilitated adaptation. No significant sleep disturbances or substance use linked to robotization were reported. Managers faced a high mental workload due to coordination and supervision responsibilities.

conclusionsWhen the implementation process is well designed, robotization does not necessarily negatively affect employees' mental health. The findings highlight the importance of actively addressing organizational and human factors that influence the success of technological change in the workplace. Attention should focus on monitoring cognitive and psychological demands, particularly for technical and managerial staff.

Indexed as

Health StatusMental HealthOccupational HealthRoboticsAdultCzech RepublicFemaleHumansMaleMiddle AgedQualitative ResearchSlovakiaWorking ConditionsWorkload

Identifiers

PMID42545247
PMCPMC13510295

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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.