4.1 Article

Important factors for planning nurse staffing in the emergency department: A consensus study

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INTERNATIONAL EMERGENCY NURSING
卷 56, 期 -, 页码 -

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ELSEVIER SCI LTD
DOI: 10.1016/j.ienj.2021.100979

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Emergency department; Nurse patient ratio; Nurse staffing; Staff planning

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This study used a consensus research design to investigate stakeholders' perceptions of ED nursing ratios, ultimately identifying four categories of influencing factors and 17 related factors. Further extensive research is needed to ensure a financially viable model for optimal outcomes accepted by both staff and patients.
Introduction: 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. Methods: 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. Results: Ultimately, 43 experts agreed (a validity index of >= 80%) on four categories namely: hospital, staff, patient and additional categories which included 17 related factors. Conclusion: 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.

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