Psychometric Evaluation of the Core Competencies in Disaster Nursing Scale for Disaster Rescue Nurses in Mainland China

<b>Background:</b> 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. <b>Objectives:</b> The objective of this study was to develop and validate the Core Competencies in Disaster Nursing Scale for Disaster Rescue Nurses (CCDNS-DRNs). <b>Design:</b> A methodological and cross-sectional design was used to develop and validate this scale. <b>Methods:</b> 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. <b>Results:</b> 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 <i>x</i> <sup>2</sup> <i>/df</i>: 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. <b>Conclusions:</b> 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.

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Publication Details

Journal
Journal of Nursing Management
Published
2025-01-01
DOI
https://doi.org/10.1155/jonm/9957270
Citations
1
Primary Topic
Health Education and Validation
Type
article
Field-Weighted Citation Impact
8.93

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article

Psychometric Evaluation of the Core Competencies in Disaster Nursing Scale for Disaster Rescue Nurses in Mainland China

Yibing Tan, H. S. Chen, Ping Zeng, Chaoqun Ma et al.
1 citations
Journal of Nursing Management
Health Education and Validation
8.93
article

Psychometric Evaluation of the Core Competencies in Disaster Nursing Scale for Disaster Rescue Nurses in Mainland China

Yibing Tan, H. S. Chen, Ping Zeng, Chaoqun Ma, Hanxi Chen, Yongqi Huang, Jinjia Lai
article en
1 citations

Abstract

<b>Background:</b> 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. <b>Objectives:</b> The objective of this study was to develop and validate the Core Competencies in Disaster Nursing Scale for Disaster Rescue Nurses (CCDNS-DRNs). <b>Design:</b> A methodological and cross-sectional design was used to develop and validate this scale. <b>Methods:</b> 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. <b>Results:</b> 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 <i>x</i> <sup>2</sup> <i>/df</i>: 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. <b>Conclusions:</b> 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.

Journal of Nursing ManagementVol. 2025(1)
Guangzhou University of Chinese Medicine (CN), Jinan University (CN), Red Cross Hospital (GR), First Affiliated Hospital of Guangzhou University of Chinese Medicine (CN)
Department of Education of Guangdong Province, Guangdong Office of Philosophy and Social Science
Climate action
Openalex Percentile: Top 3%
Health Education and Validation
8.93
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