量化新生儿运输缺陷:用于权衡核心关键关键指标和对资源有限环境中的挑战进行排名的综合框架
Mahsa Qeytasi1, Mohammad Mehdi Sepehri2, Abbas Habibelahi3
1Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.
European journal of pediatrics
|October 14, 2025
概括
这项研究开发了一个数据驱动的框架,通过优先考虑关键绩效指标和挑战来改进新生儿运输系统. 该框架加强了决策,以改善患者的治疗结果,并减少新生儿移植的风险.
科学领域:
- 医疗保健系统工程 系统工程
- 新生儿医学 新生儿医学
- 公共卫生政策 公共卫生政策
背景情况:
- 关于新生儿运输的先前研究强调了挑战,并提出了关键绩效指标 (KPIs),但往往缺乏干预优先级.
- 现有研究主要使用定性方法,有限的定量分析,并且是特定于环境的.
研究的目的:
- 开发一个战略性的,数据驱动的框架,以改善新生儿移植系统的全系统性改进.
- 在新生儿运输中识别和优先考虑关键挑战和关键关键指标.
主要方法:
- 一种混合方法的方法,结合文献综述,专家采访和定量调查.
- 使用多标准决策 (MCDM) 技术,包括DEMATEL,ANP和TOPSIS进行分析.
- 有权重的关键关键指标,如总运输时间,稳定护理和死亡率;确定了诸如设备和团队技能不足等关键挑战.
主要成果:
- 关键绩效指标被加权,其中总运输时间 (0.20) 和稳定护理 (0.18) 是最关键的.
- 确定了五个最关键的挑战:设备不足,转移团队的技能水平低,缺乏集中运输单位,信息交换不清楚,以及行政约束.
- 该研究基于加权的关键关键指标和排名的挑战来优先考虑干预措施.
结论:
- 拟议的框架增加了透明度,并为新生儿运输决策提供了可辩护的基础.
- 它可以将资源分配到具有高影响力的领域,旨在改善患者的治疗结果并减轻系统风险.
- 该框架为决策者提供了一个无关背景的工具,以优先考虑改善新生儿运输系统,即使在资源有限的环境中.
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