Lai Jinjia, Chen Hongyi, Huang Yongqi, Ma Chaoqun, Zeng Ping, Chen Hanxi, Tan Yibing
Emergency Department, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
School of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
J Nurs Manag. 2025 Aug 10;2025:9957270. doi: 10.1155/jonm/9957270. eCollection 2025.
Disaster rescue nurses (DRNs) play an essential role in disaster medical rescue. To ensure an effective response, it is imperative to assess the core competencies of DRNs. In 2019, the International Council of Nurses (ICNs) published the Core Competencies in Disaster Nursing Version 2.0 (CCDN V2.0), which outlines 33 competencies for DRNs. However, these competencies currently lack psychometric evaluation in China, which limits the direct assessment of DRNs' core competencies in disaster nursing and the effectiveness of disaster nursing education. The objective of this study was to develop and validate the Core Competencies in Disaster Nursing Scale for Disaster Rescue Nurses (CCDNS-DRNs). A methodological and cross-sectional design was used to develop and validate this scale. The researchers developed an initial scale using cross-cultural translation. Expert consultation was utilized to validate the content validity. A total of 401 nurses were surveyed by purposive sampling. They completed a general information questionnaire along with the CCDNS-DRN. Data analysis was performed using SPSS 26.0, Mplus 8.3, and R 4.5.0 and included general statistical analysis, classical test theory (CTT), and item response theory (IRT) analyses. A 33-item eight-factor CCDNS-DRN was developed with satisfactory validity and reliability, with a content validity index of 0.980 for the total scale and a content validity index of 0.780-1.00 for each item. The confirmatory factor analysis showed that : 2.940, CFI: 0.933, TLI: 0.923, RMSEA: 0.069, and SRMR: 0.036. The Cronbach's alpha, split-half validity, and internal correlation coefficient (ICC) of the scale were 0.978, 0.918, and 0.898, respectively. The results of the IRT revealed that the discrimination indices of all items ranged from 2.037 to 4.970, the difficulty parameters of all items ranged from -2.837 to 1.396, and the average information values for the items ranged from 0.961 to 3.424. The CCDNS-DRN exhibits good psychometric properties, providing a scientifically sound and effective instrument to evaluate the core competencies in disaster nursing among DRNs in China.
灾害救援护士在灾害医疗救援中发挥着至关重要的作用。为确保有效应对，评估灾害救援护士的核心能力势在必行。2019年，国际护士理事会（ICN）发布了《灾害护理核心能力2.0版》（CCDN V2.0），其中概述了灾害救援护士的33项能力。然而，目前这些能力在中国缺乏心理测量学评估，这限制了对灾害救援护士灾害护理核心能力的直接评估以及灾害护理教育的有效性。本研究的目的是开发并验证灾害救援护士灾害护理核心能力量表（CCDNS-DRNs）。采用方法学和横断面设计来开发和验证该量表。研究人员通过跨文化翻译制定了初始量表。利用专家咨询来验证内容效度。通过目的抽样对401名护士进行了调查。他们完成了一份一般信息问卷以及CCDNS-DRN问卷。使用SPSS 26.0、Mplus 8.3和R 4.5.0进行数据分析，包括一般统计分析、经典测试理论（CTT）和项目反应理论（IRT）分析。开发了一个包含33个项目的八因素CCDNS-DRN，具有令人满意的效度和信度，总量表的内容效度指数为0.980，每个项目的内容效度指数为0.780 - 1.00。验证性因素分析显示：χ² = 2.940，CFI = 0.933，TLI = 0.923，RMSEA = 0.069，SRMR = 0.036。该量表的克朗巴哈α系数、分半效度和内部相关系数（ICC）分别为0.978、0.918和0.898。IRT的结果显示，所有项目的区分度指数范围为2.037至4.970，所有项目的难度参数范围为 - 2.837至1.396，项目的平均信息值范围为0.961至3.424。CCDNS-DRN具有良好的心理测量学特性，为评估中国灾害救援护士的灾害护理核心能力提供了一种科学合理且有效的工具。
