基于案例组合指数的护理人力资源分配模型的构建和应用
Yanying Yang1, Mei He2, Yuwei Yang3
1Nursing Department, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, 621000, People's Republic of China. 2729433618@qq.com.
这项研究发现,使用病例组合指数 (CMI) 可以准确预测每日护理工作时间 (DNW). 这种关系允许合理分配护理人员,提高患者的满意度和安全.
科学领域:
- 医疗保健管理的管理
- 护理信息学 护理信息学
- 医院管理局 医院管理局
背景情况:
- 病例混合指数 (CMI) 是一个潜在的指标,可以客观地评估护理工作量和疾病严重程度.
- 准确评估护理工作量对于医疗保健中有效的人力资源分配至关重要.
研究的目的:
- 探索每日护理工作时间 (DNW) 和CMI之间的定量关系.
- 根据CMI.开发一个合理分配护理人力资源的模型.
主要方法:
- 对271名住院患者和36名肝胆外科护士进行前性研究.
- 精确测量每日护理工作时间 (DNW) 和提取案例混合指数 (CMI) 数据.
- 选择一个最佳的二次模型来确定CMI和DNW之间的定量关系.
主要成果:
- 一个二次模型 (DNW = 92.3 + 4.8*CMI + 2.4*CMI^2) 根据CMI (R^2 = 0.627) 有效地预测了DNW.
- 护士人员的相对差距与患者满意度和不良事件发生率有关.
- 经过调整后,护士人员缺口与患者满意度部分相关.
结论:
- 来自CMI的每日护理工作时间 (DNW) 提供了护理人力资源分配的合理和方便的方法.
- 实施这种模式可以提高患者的满意度,同时保持护理的质量和安全.
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