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.
University of Southampton, Health Sciences, United Kingdom; National Institute for Health Research Applied Research Collaboration (Wessex), United Kingdom.
Int J Nurs Stud. 2020 Mar;103:103487. doi: 10.1016/j.ijnurstu.2019.103487. Epub 2019 Nov 29.
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.
医院病房护士人员配备水平的重要性已得到广泛认可,但尽管证据广泛,但用于确定人员配备需求的工具据报道仍然很薄弱。我们在 2014 年进行的综述的基础上,旨在概述评估护士人员配备需求的主要方法,并确定最新证据,以解决尚未回答的问题,包括工具的准确性和有效性。
我们进行了系统的范围界定审查。使用 Medline、Cochrane 图书馆和 CINAHL 进行搜索,以确定最近的原始研究,并在现有综述结论的背景下进行审查。
已发表的文献非常广泛,描述了工具的多种用途,包括建立设置、日常部署和回顾性审查。有多种方法,包括专业判断、简单的基于数量的方法(如护患比例)、患者原型/分类和计时任务方法。尽管需求分布存在偏态,但工具通常试图将人员配备与平均需求或时间要求相匹配。最近报告的最大一组研究是对(主要是新的)工具和系统的评估,但几乎没有证据表明对患者护理有影响,也没有证据表明对成本有影响。使用工具设定的人员配备水平的好处似乎与增加人员配备有关,没有证据表明工具更有效地利用了给定的人员资源。尽管有证据表明使用工具进行人员配备评估可能与其他评估相关,但不同的系统会导致人员配备需求的估计大不相同。虽然很明显,需求存在许多变化来源,但系统能够提供满足这种需求的人员配备水平的程度尚不清楚。假设按照平均需求配置人员是应对需求变化的最佳反应,这一假设未经检验,可能是不正确的。
尽管这个问题很重要,而且关于护士人员配备方法的出版物数量庞大,但证据仍然非常有限。没有证据支持选择任何特定工具。未来的研究应该侧重于更多地了解如何使用现有的工具,而不是仅仅开发新的工具。优先研究的问题包括如何最好地使用工具来确定满足不同患者需求所需的人员配备水平,以及使用工具的成本和后果。
几十年来,关于确定护士人员配备需求的工具的研究基本上没有提供信息。关于广泛使用的工具的成本或后果知之甚少。