Nursing workload, nurse staffing methodologies and tools: A systematic scoping review and discussion.

Costs and cost analysis Health care economics and organisations Hospital administration Hospital information systems Nurse staffing Nursing Staff, Hospital Nursing administration research Nursing workload Operations research Patient Classification Systems Patient safety Personnel Staffing and Scheduling Quality of health care Validation studies Workforce planning Workload

Journal

International journal of nursing studies
ISSN: 1873-491X
Titre abrégé: Int J Nurs Stud
Pays: England
ID NLM: 0400675

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 18 05 2019
revised: 10 09 2019
accepted: 18 11 2019
pubmed: 31 12 2019
medline: 15 12 2020
entrez: 30 12 2019
Statut: ppublish

Résumé

The importance of nurse staffing levels in acute hospital wards is widely recognised but evidence for tools to determine staffing requirements although extensive, has been reported to be weak. Building on a review of reviews undertaken in 2014, we set out to give an overview of the major approaches to assessing nurse staffing requirements and identify recent evidence in order to address unanswered questions including the accuracy and effectiveness of tools. We undertook a systematic scoping review. Searches of Medline, the Cochrane Library and CINAHL were used to identify recent primary research, which was reviewed in the context of conclusions from existing reviews. The published literature is extensive and describes a variety of uses for tools including establishment setting, daily deployment and retrospective review. There are a variety of approaches including professional judgement, simple volume-based methods (such as patient-to-nurse ratios), patient prototype/classification and timed-task approaches. Tools generally attempt to match staffing to a mean average demand or time requirement despite evidence of skewed demand distributions. The largest group of recent studies reported the evaluation of (mainly new) tools and systems, but provides little evidence of impacts on patient care and none on costs. Benefits of staffing levels set using the tools appear to be linked to increased staffing with no evidence of tools providing a more efficient or effective use of a given staff resource. Although there is evidence that staffing assessments made using tools may correlate with other assessments, different systems lead to dramatically different estimates of staffing requirements. While it is evident that there are many sources of variation in demand, the extent to which systems can deliver staffing levels to meet such demand is unclear. The assumption that staffing to meet average need is the optimal response to varying demand is untested and may be incorrect. Despite the importance of the question and the large volume of publication evidence about nurse staffing methods remains highly limited. There is no evidence to support the choice of any particular tool. Future research should focus on learning more about the use of existing tools rather than simply developing new ones. Priority research questions include how best to use tools to identify the required staffing level to meet varying patient need and the costs and consequences of using tools. Decades of research on tools to determine nurse staffing requirements is largely uninformative. Little is known about the costs or consequences of widely used tools.

Sections du résumé

BACKGROUND BACKGROUND
The importance of nurse staffing levels in acute hospital wards is widely recognised but evidence for tools to determine staffing requirements although extensive, has been reported to be weak. Building on a review of reviews undertaken in 2014, we set out to give an overview of the major approaches to assessing nurse staffing requirements and identify recent evidence in order to address unanswered questions including the accuracy and effectiveness of tools.
METHODS METHODS
We undertook a systematic scoping review. Searches of Medline, the Cochrane Library and CINAHL were used to identify recent primary research, which was reviewed in the context of conclusions from existing reviews.
RESULTS RESULTS
The published literature is extensive and describes a variety of uses for tools including establishment setting, daily deployment and retrospective review. There are a variety of approaches including professional judgement, simple volume-based methods (such as patient-to-nurse ratios), patient prototype/classification and timed-task approaches. Tools generally attempt to match staffing to a mean average demand or time requirement despite evidence of skewed demand distributions. The largest group of recent studies reported the evaluation of (mainly new) tools and systems, but provides little evidence of impacts on patient care and none on costs. Benefits of staffing levels set using the tools appear to be linked to increased staffing with no evidence of tools providing a more efficient or effective use of a given staff resource. Although there is evidence that staffing assessments made using tools may correlate with other assessments, different systems lead to dramatically different estimates of staffing requirements. While it is evident that there are many sources of variation in demand, the extent to which systems can deliver staffing levels to meet such demand is unclear. The assumption that staffing to meet average need is the optimal response to varying demand is untested and may be incorrect.
CONCLUSIONS CONCLUSIONS
Despite the importance of the question and the large volume of publication evidence about nurse staffing methods remains highly limited. There is no evidence to support the choice of any particular tool. Future research should focus on learning more about the use of existing tools rather than simply developing new ones. Priority research questions include how best to use tools to identify the required staffing level to meet varying patient need and the costs and consequences of using tools.
TWEETABLE ABSTRACT CONCLUSIONS
Decades of research on tools to determine nurse staffing requirements is largely uninformative. Little is known about the costs or consequences of widely used tools.

Identifiants

pubmed: 31884330
pii: S0020-7489(19)30294-9
doi: 10.1016/j.ijnurstu.2019.103487
pmc: PMC7086229
pii:
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

103487

Subventions

Organisme : Department of Health
ID : HS&DR/14/194/21
Pays : United Kingdom

Informations de copyright

Copyright © 2019. Published by Elsevier Ltd.

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Auteurs

Peter Griffiths (P)

University of Southampton, Health Sciences, United Kingdom; National Institute for Health Research Applied Research Collaboration (Wessex), United Kingdom; Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Sweden. Electronic address: peter.griffiths@soton.ac.uk.

Christina Saville (C)

University of Southampton, Health Sciences, United Kingdom; National Institute for Health Research Applied Research Collaboration (Wessex), United Kingdom.

Jane Ball (J)

University of Southampton, Health Sciences, United Kingdom; Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Sweden.

Jeremy Jones (J)

University of Southampton, Health Sciences, United Kingdom.

Natalie Pattison (N)

University of Hertfordshire, School of Health and Social Work, United Kingdom; East & North Hertfordshire NHS Trust, United Kingdom.

Thomas Monks (T)

University of Exeter, College of Medicine and Health, United Kingdom; National Institute for Health Research Applied Research Collaboration (Wessex), United Kingdom.

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