Chen Meihan, Li Xiaonan, Wang Aiping, Zhou Baosen
Department of Nursing, Liaoning University of Traditional Chinese Medicine, No. 79 Chongshan East Road, Huanggu District, Shenyang, Liaoning Province, China.
Health Medicine Center, General Hospital of Northern Theater Command, No. 5 Guangrong Street, Heping District, Shenyang, Liaoning Province, China.
BMC Nurs. 2025 Jul 1;24(1):728. doi: 10.1186/s12912-025-03384-3.
Evolving healthcare paradigms and shifting population health needs necessitate the advancement of nurses' core competencies. Under China's new-era health development strategy, there is an urgent demand to establish a culturally adapted, contemporary competency assessment framework.
This three-phase study involved: (1) Constructing a preliminary competency framework through systematic literature review and semi-structured interviews; (2) Refining dimensions via two-round Delphi consultations; (3) Validating the Chinese Nursing Core Competence Scale (CNCCS) with data from 1,415 nurses across seven geographical regions (Nov 2022-May 2023), assessing validity through content/structure/criterion-related validation and reliability via internal consistency/test-retest analysis.
The Delphi process yielded an 8-dimension, 96-item framework. Exploratory factor analysis retained 62 items across 8 factors explaining 76.106% variance. Confirmatory analysis demonstrated good model fit (χ²/df = 3.376, TLI = 0.924, CFI = 0.929, RMSEA = 0.054, SRMR = 0.078). The scale exhibited acceptable reliability (Cronbach's α = 0.885, ICC = 0.958), meeting psychometric standards.
The CNCCS comprises 8 dimensions with 62 items, demonstrating robust reliability and validity. Grounded in China's unique healthcare context while addressing global nursing challenges, this instrument provides a scientific foundation for competency evaluation and tiered training programs, offering insights for worldwide nursing competence system development.
Not applicable.
不断发展的医疗保健模式和不断变化的人群健康需求促使护士核心能力的提升。在中国新时代卫生发展战略下，迫切需要建立一个适应文化、符合当代需求的能力评估框架。
本三阶段研究包括：（1）通过系统文献综述和半结构化访谈构建初步能力框架；（2）通过两轮德尔菲咨询完善维度；（3）用来自七个地理区域的1415名护士的数据（2022年11月至2023年5月）验证中国护理核心能力量表（CNCCS），通过内容/结构/标准相关验证评估效度，通过内部一致性/重测分析评估信度。
德尔菲过程产生了一个包含8个维度、96个条目的框架。探索性因素分析保留了8个因素中的62个条目，解释了76.106%的方差。验证性分析显示模型拟合良好（χ²/df = 3.376，TLI = 0.924，CFI = 0.929，RMSEA = 0.054，SRMR = 0.078）。该量表表现出可接受的信度（Cronbach's α = 0.885，ICC = 0.958），符合心理测量标准。
CNCCS包含8个维度、62个条目，具有较强的信度和效度。该工具基于中国独特的医疗背景，同时应对全球护理挑战，为能力评估和分层培训计划提供了科学依据，为全球护理能力体系发展提供了见解。
不适用。
