Current Status of Critical Care Nurse Training Transfer in Fujian Province, China: A Latent Profile Analysis

Objective To identify latent profiles of training transfer among critical care specialty nurses and analyze the relationships between these profiles and general demographic characteristics, psychological capital, self-directed learning ability, and organizational innovation climate. Method A cross-sectional study using convenience sampling was conducted among critical care specialty nurses meeting inclusion criteria from October to November 2024. The study employed a general information questionnaire, the Psychological Capital Scale, the Self-Directed Learning Ability Scale, the Organizational Innovation Climate Scale, and a self-developed Critical Care Nurse Training Transfer Scale. Latent profile analysis was used to identify latent subgroups of training transfer among critical care nurses. Univariate analysis of variance and linear regression analysis were performed to explore influencing factors, followed by multiple regression analysis to evaluate their impact on training transfer. Result Two distinct training transfer profiles were identified: a "Low-Transfer Group" (n = 229, 55.05%) and a "High-Transfer Group" (n = 187, 44.95%). Six characteristics were significantly associated with profile membership: age, position, patent status, self-efficacy, organizational innovation incentives, and management practices. Discussion The level of training transfer among critical care specialty nurses exhibits heterogeneity and can be categorized into two latent profiles. Nursing administrators should develop targeted training approaches and management systems based on the characteristics of different transfer levels and their influencing factors to enhance the training transfer capabilities of critical care specialty nurses.