Enhancing training transfer among stroke specialist nurses: Insights from latent profile analysis

Area of Science:

• Nursing Science
• Healthcare Management
• Professional Development

Background:

• Stroke care demands skilled specialist nurses, yet training transfer remains suboptimal.
• Effective stroke management relies heavily on proficient specialist nurses.
• Addressing low training transfer is crucial for improving stroke patient outcomes.

Purpose of the Study:

• Identify distinct training transfer categories among stroke specialist nurses using Latent Profile Analysis (LPA).
• Explore factors influencing these identified training transfer categories.
• Provide evidence-based strategies to enhance training transfer in stroke nursing.

Main Methods:

• Cross-sectional study involving 397 stroke specialist nurses in Henan Province, China.
• Utilized demographic questionnaires, training transfer scales, work environment scales, and job crafting questionnaires.
• Latent Profile Analysis (LPA), univariate analysis, and logistic regression were employed for data analysis.

Main Results:

• Three distinct training transfer groups were identified: low (20.40%), medium (31.74%), and high (47.86%).
• Key influencing factors included work experience, employment type, training duration, nursing work environment, and job crafting.
• A significant portion of nurses demonstrated only moderate or low levels of training transfer.

Conclusions:

• The majority of stroke specialist nurses are in the medium and low training transfer groups.
• Contract employment and limited work experience are significant barriers to effective training transfer.
• Recommendations include enhancing work experience, optimizing training, improving the work environment, and implementing job crafting.