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Determining acute nurse staffing: a hermeneutic review of an evolving science
BACKGROUND: Calculating nurse staffing in the acute hospital has become a key issue but solutions appear distant. Community, mental health and areas such as learning disability nursing have attracted less attention and remain intractable. This review aims to examine current approaches to the issue a...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6475222/ https://www.ncbi.nlm.nih.gov/pubmed/30928944 http://dx.doi.org/10.1136/bmjopen-2018-025654 |
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author | Leary, Alison Punshon, Geoffrey |
author_facet | Leary, Alison Punshon, Geoffrey |
author_sort | Leary, Alison |
collection | PubMed |
description | BACKGROUND: Calculating nurse staffing in the acute hospital has become a key issue but solutions appear distant. Community, mental health and areas such as learning disability nursing have attracted less attention and remain intractable. This review aims to examine current approaches to the issue across many disciplines. DESIGN: The approach taken is iterative and in the form of a hermeneutic review. 769 pieces of evidence were reviewed from across disciplines such as nursing, medicine, engineering, statistics, population science, computer science and mathematics where hospital nurse staffing was the subject of the study. RESULTS: A number of themes emerged. The first iteration showed the predominance of unit base approaches (eg, nurse numbers, ratios, activity and workload) and the second was the development of methodologies. Subsequent iterations examined issues such as demand, safety, nurse education, turnover, patient outcomes, patient or staff satisfaction, workload and activity. The majority of studies examined (n=767) demonstrated some association between staffing (units or type/skill) and various factors such as staff or patient satisfaction, working conditions, safety parameters, outcomes complexity of work achieved, work left undone or other factors. Many potential areas such as operational safety research were not utilised. CONCLUSION: Although the relationship between staffing in acute care and factors such as units, safety or workload is complex, the evidence suggests an interdependent relationship which should only be dismissed with caution. The nature of these relationships should be further examined in order to determine nurse staffing. The body of knowledge appears substantial and complex yet appears to have little impact on policy. |
format | Online Article Text |
id | pubmed-6475222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-64752222019-05-07 Determining acute nurse staffing: a hermeneutic review of an evolving science Leary, Alison Punshon, Geoffrey BMJ Open Health Services Research BACKGROUND: Calculating nurse staffing in the acute hospital has become a key issue but solutions appear distant. Community, mental health and areas such as learning disability nursing have attracted less attention and remain intractable. This review aims to examine current approaches to the issue across many disciplines. DESIGN: The approach taken is iterative and in the form of a hermeneutic review. 769 pieces of evidence were reviewed from across disciplines such as nursing, medicine, engineering, statistics, population science, computer science and mathematics where hospital nurse staffing was the subject of the study. RESULTS: A number of themes emerged. The first iteration showed the predominance of unit base approaches (eg, nurse numbers, ratios, activity and workload) and the second was the development of methodologies. Subsequent iterations examined issues such as demand, safety, nurse education, turnover, patient outcomes, patient or staff satisfaction, workload and activity. The majority of studies examined (n=767) demonstrated some association between staffing (units or type/skill) and various factors such as staff or patient satisfaction, working conditions, safety parameters, outcomes complexity of work achieved, work left undone or other factors. Many potential areas such as operational safety research were not utilised. CONCLUSION: Although the relationship between staffing in acute care and factors such as units, safety or workload is complex, the evidence suggests an interdependent relationship which should only be dismissed with caution. The nature of these relationships should be further examined in order to determine nurse staffing. The body of knowledge appears substantial and complex yet appears to have little impact on policy. BMJ Publishing Group 2019-03-30 /pmc/articles/PMC6475222/ /pubmed/30928944 http://dx.doi.org/10.1136/bmjopen-2018-025654 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Health Services Research Leary, Alison Punshon, Geoffrey Determining acute nurse staffing: a hermeneutic review of an evolving science |
title | Determining acute nurse staffing: a hermeneutic review of an evolving science |
title_full | Determining acute nurse staffing: a hermeneutic review of an evolving science |
title_fullStr | Determining acute nurse staffing: a hermeneutic review of an evolving science |
title_full_unstemmed | Determining acute nurse staffing: a hermeneutic review of an evolving science |
title_short | Determining acute nurse staffing: a hermeneutic review of an evolving science |
title_sort | determining acute nurse staffing: a hermeneutic review of an evolving science |
topic | Health Services Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6475222/ https://www.ncbi.nlm.nih.gov/pubmed/30928944 http://dx.doi.org/10.1136/bmjopen-2018-025654 |
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