预测韩国新毕业护士的营业额意图:决策树分析
1College of Nursing, Research Institute of Nursing Innovation, Kyungpook National University, 41566 Daehak-ro 80, Buk-gu, Daegu, South Korea.
BMC nursing
|November 19, 2025
概括
新毕业的护士们
科学领域:
- 护理劳动力研究 护理劳动力研究
- 医疗保健管理的管理
- 医疗保健中的机器学习
背景情况:
- 新护士的高流动意图会影响医疗保健系统.
- 机器学习可以预测影响护士周转率的因素.
- 这项研究重点关注韩国护士,他们的经验不到一年.
研究的目的:
- 确定早期职业生涯护士的营业额意向的预测因素.
- 使用决策树模型进行分析.
- 通知策略,以改善护士的保留.
主要方法:
- 2016-2020研究生职业流动性调查的二次分析.
- 包括492名新毕业的护士.
- 在SPSS Modeler中使用了千平方自动交互检测 (CHAID) 决策树算法.
主要成果:
- 23.6%的参与者报告了营业额的意图.
- 营业额的主要预测因素包括低的工作满意度 (个人发展,社会声誉) 和缺乏激励工资.
- 留住因素包括对成长/晋升,永久/全职职位的满意度,以及减少惰.
结论:
- 工作满意度,激励,工作安全和心理健康对于保留新护士至关重要.
- 战略应侧重于职业发展,机构声誉和心理健康支持.
- 对于组织的期望和临床能力的教育准备对于长期的保留至关重要.
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