Abstract:

Objective To explore the current status of transition shock among newly recruited nurses and its influencing factors，and to analyze the pathways of these factors. Methods A cross-sectional survey was conducted using convenience sampling. A total of 263 newly recruited nurses from five tertiary general hospitals in Hangzhou were selected as the research subjects. The Transition Shock Scale for New Nurses，the Nurse Work Environment Perception Scale，and the Intrinsic Motivation Scale were used for questionnaire surveys. Pearson correlation analysis，multiple linear regression analysis，and structural equation modeling were used to explore the influencing factors of transition shock among newly recruited nurses and their pathways. Results The total score of transition shock of newly recruited nurses was （80.08 ± 19.89） points，which was at a relatively high level. The multiple linear regression analysis showed that work environment perception and intrinsic motivation were the main factors influencing the transition shock of newly recruited nurses（P<0.05）. The structural equation modeling analysis indicated that work environment perception could directly reduce the transition shock of newly recruited nurses （β=-0.15，P<0.001），and indirectly affect the transition shock by enhancing intrinsic motivation（β=-0.24，P<0.001），with the mediating effect accounting for 61.5% of the total effect. Conclusion The transition shock of newly recruited nurses is influenced by multiple factors，among which work environment perception and intrinsic motivation play a key role in their adaptation process. Nursing managers should optimize the nursing environment，enhance teamwork，provide career development support. Meanwhile，incentive measures to enhance the intrinsic motivation of newly recruited nurses are needed to promote their professional adaptation，reduce transition shock，and improve the stability of the nursing team and the quality of nursing care.

Key words: Newly-hired nurse, Transformation shock, Work environment, Intrinsic motivation, Structural equation model