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Predictors of job s...
Predictors of job strain in residential dementia care nursing staff
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- Edvardsson, David (author)
- Umeå universitet,Institutionen för omvårdnad
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- Sandman, Per-Olof (author)
- Umeå universitet,Institutionen för omvårdnad
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Nay, Rhonda (author)
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- Karlsson, Stig (author)
- Umeå universitet,Institutionen för omvårdnad
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(creator_code:org_t)
- Hindawi Limited, 2009
- 2009
- English.
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In: Journal of Nursing Management. - : Hindawi Limited. - 0966-0429 .- 1365-2834. ; 17:1, s. 59-65
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
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- AIM: To identify predictors of job strain in residential nursing care staff working with people with dementia. BACKGROUND: It is well known that nursing staff experience high levels of stress, but less is known about how to predict job strain. METHODS: The job strain of nursing care staff (n = 344) within residential dementia care settings was assessed. Standard linear regression analysis was used to explore predictors of job strain. RESULT: Data from the study shows that nursing staff in residential dementia care have a demanding job and experience high levels of strain. The linear regression model with four predictor variables explained 19% of the variability in job strain scores. Perceived caring climate of the unit, staff education level, possibilities to have discussions of difficulties and ethics at work and staff age, had a statistically significant association with job strain. CONCLUSIONS: The caring climate, staff education, reflective practice and staff age can be used as screening variables when predicting job strain. IMPLICATIONS FOR NURSING MANAGEMENT: These predictors can assist managers and directors to identify targeted strategies for supervision and support of nursing staff to secure their well-being, and by that securing the quality of care provided to residents.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Omvårdnad (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Nursing (hsv//eng)
Publication and Content Type
- ref (subject category)
- art (subject category)
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