Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB using machine learning techniques.
Journal:
BMC public health
Published Date:
Jun 10, 2025
Abstract
OBJECTIVES: Training public health personnel is crucial for enhancing the capacity of public health systems. However, existing research often falls short in providing a comprehensive theoretical framework and fails to account for the intricate interplay of multi-dimensional factors in public health. This study aims to identify knowledge and skill gaps at both individual and organizational levels, and to explore multi-dimensional factors influencing training needs within the theoretical frameworks of the Theory of Planned Behavior and Self-Determination Theory.