Latent profile analysis of the level of transformation shock among newly employed nurses
10.3760/cma.j.cn115682-20240821-04682
- VernacularTitle:新入职护士转型冲击水平的潜在剖面分析
- Author:
Jing LI
1
;
Juanjuan NIU
1
;
Fei YAO
1
;
Pengwei LU
1
Author Information
1. 首都医科大学附属北京天坛医院护理部，北京 100070
- Publication Type:Journal Article
- Keywords:
Cross-sectional study;
Nurses;
Transformation shock;
Latent profile analysis;
Influencing factors
- From:
Chinese Journal of Modern Nursing
2025;31(3):286-292
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the potential categories of transformation shock levels among newly employed nurses and their influencing factors, in order to provide references for implementing targeted interventions.Methods:In March and April 2024, a convenience sampling method was used to select 208 nurses undergoing standardized training at Beijing Tiantan Hospital, Capital Medical University, as the study subjects. The Transformation Shock Evaluation Scale, the Chinese Registered Nurse Core Competency Scale, and the Work Confidence and Ability Scale were used for data collection. Latent profile analysis was employed to identify the potential categories of transformation shock levels among newly employed nurses, and multinomial Logistic regression was used to analyze the influencing factors for different categories.Results:A total of 208 questionnaires were distributed, with 195 valid ones returned, yielding an effective response rate of 93.75%. The overall transformation shock score of the 195 newly employed nurses was (2.10±0.84), the career core competency score was (179.30±35.32), and the work confidence and ability score was (80.01±10.64). The transformation shock levels of the newly employed nurses were divided into four categories: high transformation shock-negative coping group (22.56%, 44/195), moderate transformation shock-psychological barrier group (29.23%, 57/195), lower transformation shock-high communication effectiveness group (36.41%, 71/195), and low transformation shock-high coping ability group (11.79%, 23/195). Logistic regression analysis showed that education level, clinical nursing ability, leadership, communication, critical thinking and research ability were influencing factors for the different categories of transformation shock levels among newly employed nurses ( P<0.05) . Conclusions:The transformation shock levels among newly employed nurses exhibit distinct categorical characteristics. Nursing education and management personnel should provide targeted training based on the influencing factors of different categories to reduce the level of transformation shock.
