Construction of emergency competency models for nurses in emerging high-consequence infectious disease outbreaks: Behavioural event interview approach

IF 1.8 4区 医学 Q2 NURSING
Shanshan Liu , Yijing Li , Chunfen Zhou , Jing Zhao , Juan Guo , Li Luo , Yan Jiang
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引用次数: 0

Abstract

Background

Emerging high-consequence infectious disease outbreaks (EHCIDs) have significantly impacted healthcare systems worldwide. Nurses specialising in outbreak response nurses play an important role in the prevention and control of EHCIDs. However, the specific competencies required for these nurses remain undefined. This study aims to develop a competency model for nurses involved in managing EHCIDs, providing a foundation for the training and organisation of specialised nurse response teams.

Methods

We recruited a geographically stratified sample of nurses from tertiary hospitals in four representative regions of China (Eastern, Western, Northern, Southern) for this cross-sectional study, conducted from April 2021 to April 2023. Using the validated Behavioural Event Interview (BEI) methodology, we conducted qualitative research with 40 nurses from hospitals designated for COVID-19 treatment. Participants were asked to describe three successful scenarios and three challenging experiences they encountered during recent pandemic responses with semi-structured interviews. We analysed the qualitative data using an iterative constant comparison method, employing a three-phase coding process (open, axial, selective) facilitated by NVivo 12.0 software. This analysis culminated in an evidence-based competency model. To ensure the model’s reliability and validity, we performed categorical consistency checks and synchronous cross-validity testing‌.

Results

The study included 20 excellent nurses and 20 average nurses. We developed a tailored nursing competency model comprising 20 total competencies, categorised into core (6 competencies), critical (7 competencies), and foundational (7 competencies). Inter-coder reliability was robust, with Cohen’s κ ranging from 0.741 to 0.830, and an overall agreement of 0.773. Significant differences in competency scores (p < 0.05) were noted between high-performing and adequately-performing nurses, particularly in core and critical competencies.

Conclusions

The competency model for outbreak response nursing is scientifically robust and practically applicable. It is particularly crucial for effective nursing management in the face of sudden and uncertain infectious disease outbreaks.
新出现的高后果传染病暴发中护士应急能力模型的构建:行为事件访谈法
新出现的高后果传染病暴发(ehcid)对全球医疗保健系统产生了重大影响。专门从事疫情应对的护士在预防和控制ehcid方面发挥着重要作用。然而,这些护士所需要的具体能力仍然不明确。本研究旨在为参与管理ehcid的护士建立一个胜任力模型,为培训和组织专门的护士应对团队提供基础。方法:我们从中国四个代表性地区(东、西、北、南)的三级医院招募了一组按地理位置分层的护士样本,于2021年4月至2023年4月进行这项横断面研究。使用经过验证的行为事件访谈(BEI)方法,我们对来自COVID-19指定治疗医院的40名护士进行了定性研究。参与者被要求通过半结构化访谈描述他们在最近的大流行应对中遇到的三个成功情景和三个具有挑战性的经历。我们使用迭代常数比较方法分析定性数据,采用NVivo 12.0软件促进的三阶段编码过程(开放,轴向,选择性)。这一分析最终形成了一个基于证据的胜任力模型。为了保证模型的信度和效度,我们进行了分类一致性检验和同步交叉效度检验。结果入选优秀护士20名,普通护士20名。我们开发了一个量身定制的护理能力模型,包括20个总能力,分为核心(6个能力)、关键(7个能力)和基础(7个能力)。编码间信度稳健,Cohen 's κ范围为0.741至0.830,总体一致性为0.773。胜任力得分的显著差异(p <;表现优异的护士与表现一般的护士之间存在显著差异,特别是在核心能力和关键能力方面。结论建立的疫情应对护理胜任力模型具有较强的科学性和实用性。面对突发和不确定的传染病疫情,有效的护理管理尤为重要。
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来源期刊
CiteScore
3.20
自引率
11.10%
发文量
85
期刊介绍: International Emergency Nursing is a peer-reviewed journal devoted to nurses and other professionals involved in emergency care. It aims to promote excellence through dissemination of high quality research findings, specialist knowledge and discussion of professional issues that reflect the diversity of this field. With an international readership and authorship, it provides a platform for practitioners worldwide to communicate and enhance the evidence-base of emergency care. The journal publishes a broad range of papers, from personal reflection to primary research findings, created by first-time through to reputable authors from a number of disciplines. It brings together research from practice, education, theory, and operational management, relevant to all levels of staff working in emergency care settings worldwide.
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