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

claire saville, Miriam Jane Ball, jeremy jones, Natalie Pattison, thomas monks, Peter Griffiths

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)
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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. Tweetable abstract: 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.

Original languageEnglish
Article number103487
Pages (from-to)103487
Number of pages11
JournalInternational Journal of Nursing Studies
Volume103
Early online date29 Nov 2019
DOIs
Publication statusPublished - Mar 2020

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

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