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Haemodialysis nurses' occupational health and work‐related musculoskeletal hand pain after work: A cluster analysis
University of Gävle, Faculty of Health and Occupational Studies, Department of Caring Science, Caring Science.ORCID iD: 0000-0002-9672-9714
University of Gävle, Faculty of Health and Occupational Studies, Department of Caring Science, Caring Science.ORCID iD: 0000-0003-1289-9896
2023 (English)In: Nursing Open, E-ISSN 2054-1058, Vol. 10, no 6, p. 4064-4070Article in journal (Refereed) Published
Abstract [en]

Aim

To identify clusters based on haemodialysis nurses' self-rated work ability, work engagement and self-reported work hours and to compare the identified clusters regarding hand pain after work.

Design

Cross-sectional survey.

Methods

Data based on the Work Ability Index, Utrecht Work Engagement Scale and hand pain severity after work were collected through a web-based survey among 503 haemodialysis nurses working in Sweden and Denmark. A two-step cluster analysis was used to identify homogenous groups of cases within the dataset, followed by comparative analyses of the clusters.

Results

Four distinct clusters were identified, illustrating differing profiles of haemodialysis nurses' work ability, work engagement and working hours. Nurses who worked part-time and reported moderate work ability and average work engagement had significantly higher ratings of hand pain after work.

Conclusions

Haemodialysis nurses are a heterogeneous group as regards work ability, work engagement and self-reported work hours. The four distinct clusters of nurses indicate a need for customized interventions for retaining each subgroup at work.

Place, publisher, year, edition, pages
Wiley , 2023. Vol. 10, no 6, p. 4064-4070
Keywords [en]
haemodialysis nurses; musculoskeletal pain; nursing; work ability; work capacity evaluation; work engagement
National Category
Health Sciences
Identifiers
URN: urn:nbn:se:hig:diva-41119DOI: 10.1002/nop2.1666ISI: 000937046400001PubMedID: 36811450Scopus ID: 2-s2.0-85149228226OAI: oai:DiVA.org:hig-41119DiVA, id: diva2:1739051
Funder
AFA Insurance, 170075Available from: 2023-02-23 Created: 2023-02-23 Last updated: 2023-06-16Bibliographically approved

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Westergren, EvaLindberg, Magnus

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