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ZENODO
Dataset . 2023
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Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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The deployment of temporary nurses and its association with permanent nurses' outcomes in Swiss psychiatric hospitals: A secondary analysis.

Authors: Leonel Oliveira; Beatrice Gehri; Michael Simon;

The deployment of temporary nurses and its association with permanent nurses' outcomes in Swiss psychiatric hospitals: A secondary analysis.

Abstract

The objective of this analysis was to investigate the frequency of temporary nurses’ deployment and their association with nurse staffing levels and permanent nurses’ outcomes in Swiss psychiatric hospitals. The data is based on the MatchRN Psychiatry study including 79 psychiatric units and 651 nurses and provides unit level frequency of temporary nurses’ deployment and individual nurse level data on staffing levels and permanent nurses’ outcomes namely job satisfaction, burnout, and intention to leave organization or profession. The data was collected in 2019 and 2020. We provide the unit and nurse-level dataset, a codebook and the r code to replicate the analyses of the paper. You can find the paper here: https://peerj.com/articles/15300/

{"references": ["Gehri B, Bachnick S, Schwendimann R, Simon M Matching Registered Nurse Services With Changing Care Demands in Psychiatric Hospitals: Protocol for a Multicenter Observational Study (MatchRN Psychiatry Study) JMIR Res Protoc 2021;10(8):e26700 doi: 10.2196/26700"]}

Keywords

Hospitals, Psychiatric, Nurses, Psychiatric Nursing, http://id.nlm.nih.gov/mesh/D009726, Switzerland, Quality of Health Care, Routinely Collected Health Data

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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