基于多年护理经验的护士流动意向的模式和预测:一个集群分析方法
Veysel Karani Baris1, Akgun Yesiltepe2, Gulbahar Celik3
1Nursing Management Department, Faculty of Nursing, Dokuz Eylul University, Izmir, Türkiye.
International journal of nursing practice
|September 1, 2025
概括
护士的轮流意图因经验而异. 而经验丰富的护士则表现得最差. 根据不同的护士经验水平, 定制的保养策略至关重要.
科学领域:
- 护士劳动力研究
- 医疗保健管理
- 组织心理学
背景情况:
- 护士经验水平会影响个体特征和营业额的意图.
- 了解这些差异是有效的护士保留策略的关键.
研究的目的:
- 确定护士轮流意图的模式和预测因素.
- 根据多年的护理经验,使用集群分析来分析这些因素.
主要方法:
- 一项涉及土耳其785名护士的描述性研究.
- 通过在线问卷收集的数据 (2022年4月至5月).
- 基于经验的群体的K-means聚类;用于预测分析的多重线性回归.
主要成果:
- 确定了三个经验集群:低,中,高.
- 中等经验的护士报告了最多的流动意向;高经验的护士报告了最低的流动意向.
- 工作压力预测了所有群体的周转率;收入 (低经验) 和性别 (中等经验) 是特定的预测因素.
结论:
- 护士的流动意图及其预测因素取决于经验.
- 保持策略必须针对特定的护士经验小组.
- 政策制定者可以通过基于子组分析的有针对性的干预措施来提高护士的留守率.
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