University of Pretoria, Department of Nursing, South Africa.
University of Pretoria, Department of Nursing, South Africa.
Int Emerg Nurs. 2021 May;56:100979. doi: 10.1016/j.ienj.2021.100979. Epub 2021 Mar 9.
Planning adequate nurse staffing in the emergency department (ED) is challenging. Although there are models to determine nurse staffing in EDs, these models do not consider all the factors. Inadequate nurse staffing causes overcrowding, poor quality of patient care, increased hospital costs, poor patient outcomes and high levels of burnout amongst nurses. In this paper, we report stakeholders' perceptions of important factors to be considered when planning ED nursing ratios.
We applied a consensus research design. The data was generated from modified nominal group techniques followed by an e-Delphi with two rounds. The factors were generated during two nominal groups by 19 stakeholders which included management and healthcare professionals working in EDs. The generated factors were then put on a survey format for use in an e-Delphi. Using purposive and snowball sampling the survey was distributed to 74 national and international experts for consensus.
Ultimately, 43 experts agreed (a validity index of ≥ 80%) on four categories namely: hospital, staff, patient and additional categories which included 17 related factors.
Ideal nurse staffing ratios are influenced by the complexity of the environment and interactions between multiple factors. The categories and factors identified emphasised the need for extensive further research to ensure a financially viable model that will be accepted by both staff and patient, and thus promote optimal outcomes.
规划急诊科(ED)的充足护士人力是具有挑战性的。尽管有确定 ED 护士人力的模型,但这些模型并未考虑所有因素。护士人力不足会导致过度拥挤、患者护理质量下降、医院成本增加、患者预后不良以及护士倦怠水平升高。在本文中,我们报告了利益相关者对规划 ED 护理比例时应考虑的重要因素的看法。
我们应用了共识研究设计。数据是通过修改后的名义群体技术产生的,然后进行了两轮电子德尔菲法。这些因素是由 19 名利益相关者(包括在 ED 工作的管理人员和医疗保健专业人员)在两个名义群体中产生的。生成的因素随后被制成调查格式,用于电子德尔菲法。通过目的性和滚雪球抽样,向 74 名国内外专家分发了调查,以征求共识。
最终,43 名专家(有效性指数≥80%)同意了四个类别,即医院、员工、患者和包括 17 个相关因素的附加类别。
理想的护士人力配比受到环境复杂性和多个因素相互作用的影响。确定的类别和因素强调需要进行广泛的进一步研究,以确保建立一个在财务上可行的模型,既能被员工和患者接受,又能促进最佳结果。