开发和验证用于预测护士高倦怠风险的诺米克图
Meng Ning1,2, Zengyu Chen1,2, Jiaxin Yang1,3,4
1Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Journal of clinical nursing
|May 13, 2024
概括
一个新的预测模型有助于识别高风险燃烧的护士. 该工具通过突出工作场所暴力和压力等因素,帮助管理人员进行早期的有针对性的干预.
科学领域:
- 护理研究 护理研究
- 职业健康 职业健康 职业健康
- 预测建模预测建模
背景情况:
- 护士倦怠是影响医疗保健质量的重要问题.
- 识别面临风险的护士对于及时干预和支持至关重要.
研究的目的:
- 开发和验证一个预测性名录,用于护士高燃烧风险.
- 确定导致护士倦怠的关键因素.
主要方法:
- 通过在线调查对2750名护士进行横截面研究.
- 多变量逻辑回归和名ogram构造用于风险预测.
- 验证名录的区分,校准和临床实用性的验证.
主要成果:
- 燃烧的主要预测因素包括工作场所暴力,轮班工作,长时间工作,抑郁,压力,自我报告的健康状况和饮酒.
- 开发的名图表显示出强大的预测准确性 (AUC 0.808 在开发中,0.790 在验证集中).
- 诺莫图显示在决策曲线分析中具有很高的临床效用.
结论:
- 已开发了一种经过验证的预测名录,用于识别护士中高燃烧风险.
- 这个工具可以帮助护理经理积极识别和干预策略.
- 根据已确定的风险因素,可以实施早期和有针对性的干预措施.
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