Nursing workload, nurse staffing methodologies and tools: A systematic scoping review and discussion
Nursing workload, nurse staffing methodologies and tools: A systematic scoping review and discussion
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
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
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
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.
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
Griffiths, Peter
ac7afec1-7d72-4b83-b016-3a43e245265b
Saville, Christina
2c726abd-1604-458c-bc0b-daeef1b084bd
Ball, Jane
85ac7d7a-b21e-42fd-858b-78d263c559c1
Jones, Jeremy
270b303b-6bad-4be7-8ea0-63d0e8015c91
Pattison, Natalie
4e99a446-4151-4a5b-b5f1-f1b8804bfcb6
Monks, Thomas
423ecaac-82e7-429b-84d9-1c686a32a579
March 2020
Griffiths, Peter
ac7afec1-7d72-4b83-b016-3a43e245265b
Saville, Christina
2c726abd-1604-458c-bc0b-daeef1b084bd
Ball, Jane
85ac7d7a-b21e-42fd-858b-78d263c559c1
Jones, Jeremy
270b303b-6bad-4be7-8ea0-63d0e8015c91
Pattison, Natalie
4e99a446-4151-4a5b-b5f1-f1b8804bfcb6
Monks, Thomas
423ecaac-82e7-429b-84d9-1c686a32a579
Griffiths, Peter, Saville, Christina, Ball, Jane, Jones, Jeremy, Pattison, Natalie and Monks, Thomas
(2020)
Nursing workload, nurse staffing methodologies and tools: A systematic scoping review and discussion.
International Journal of Nursing Studies, 103, [103487].
(doi:10.1016/j.ijnurstu.2019.103487).
Abstract
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
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
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
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.
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More information
Accepted/In Press date: 18 November 2019
e-pub ahead of print date: 29 November 2019
Published date: March 2020
Additional Information:
Funding Information:
This research was funded by the National Institute for Health Research ’s Health Services & Delivery Research programme (grant number 14/194/21 ). The views expressed are those of the author(s) and not necessarily those of the National Institute for Health Research, the Department of Health and Social Care, ‘arms-length’ bodies or other government departments. The Safer Nursing Care Study Group comprises: Jane Ball (University of Southampton), Rosemary Chable (University Hospital Southampton National Health Service Foundation Trust), Andrew Dimech (Royal Marsden National Health Service Foundation Trust), Peter Griffiths (University of Southampton), Yvonne Jeffrey (Poole Hospital National Health Service Foundation Trust), Jeremy Jones (University of Southampton), Thomas Monks (University of Southampton), Natalie Pattison (University of Hertfordshire/East & North Herts NHS Trust), Alexandra Recio Saucedo (University of Southampton), Christina Saville (University of Southampton) and Nicky Sinden (Portsmouth Hospitals National Health Service Trust).
Publisher Copyright:
© 2019
Keywords:
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
Identifiers
Local EPrints ID: 437305
URI: http://eprints.soton.ac.uk/id/eprint/437305
ISSN: 0020-7489
PURE UUID: 7131ec0f-5a22-4045-8771-94ad5f40ac6f
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Date deposited: 24 Jan 2020 17:30
Last modified: 06 Jun 2024 01:59
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Author:
Jane Ball
Author:
Natalie Pattison
Author:
Thomas Monks
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