Evidence map›Paper›PMID 41673185›Full record

ArticleScientific reports2026

Work-related factors and mental health among home care nurses identified by two-step cluster analysis.

Julia Petersen, Marlen Melzer

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

2 authors.

Julia PetersenFederal Institute for Occupational Safety and Health, 01099, Dresden, Germany. julia.petersen@posteo.de.
Marlen MelzerFederal Institute for Occupational Safety and Health, 01099, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Home care nursing gains in importance due to demographic changes. The aim of our study was to explore the associations between home care-nurses’ work situation and their mental health. Data were analysed from a cross-sectional survey of 976 home care nurses recruited from a full sample of invited home care services in Germany. First a descriptive analysis of the work and health situation was carried out. Second a two-step cluster analysis was performed to classify home care nurses based on work-related mental health parameters (irritation, burnout, work engagement). The predicting job demands on basis of the JDR-model in each cluster were analysed via multiple logistic regression. Two clusters (“healthy” and “not healthy”) with significant differences regarding the mental health parameters emerged. Emotional demands and higher work intensity increase the likelihood for home care nurses of being classified in Cluster 1 (“unhealthy”) while social support from colleagues and supervisors increases the likelihood for home care nurses of being classified in Cluster 2. There is an urgent need to develop and implement targeted interventions for home care nurses to cope with emotional demands, reduce their work intensity and improve social support. Only by improving these working conditions home care nurses’ mental health and therefore care quality can be secured.

Indexed as

Home Care ServicesMental HealthNursesAdultBurnout, ProfessionalCluster AnalysisClustering AlgorithmsCross-Sectional StudiesFemaleGermanyHumansJob SatisfactionMaleSurveys and QuestionnairesWorking ConditionsCluster analysisHome care nursesJDR-modelMental healthWorking conditions

Identifiers

PMID41673185
PMCPMC12905145

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.