量化和资助门诊亲肠道抗生素治疗 (OPAT) 的非计费工作量 - 评估和支持OPAT计划人员需求的模型
Alexandra V Yamshchikov1, Colleen Burgoyne1,2, Nurhan Calisir1
1Division of Infectious Diseases, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.
概括
预测门诊亲肠道抗生素治疗 (OPAT) 的员工需求至关重要. 这项研究发现,每436名OPAT患者的最佳比率为1个RN,突出了OPAT.
科学领域:
- 医疗保健管理的管理
- 传染性疾病 传染性疾病
- 卫生经济学 卫生经济学
背景情况:
- 门诊亲肠道抗生素治疗 (OPAT) 需要复杂的协调,具有挑战性的员工能力预测.
- 目前OPAT计划的资金模式往往忽视了涉及的大量非可计费工作.
研究的目的:
- 为OPAT计划开发一个人员配置模型.
- 在避免住院治疗方面量化OPAT的财务收益.
主要方法:
- 对OPAT事件和相关电子健康记录 (EHR) 遭遇的回顾性分析.
- 移动时间研究,以量化注册护士 (RN) 在非计费任务上的时间.
- 基于工作量和敏度计算最佳的RN人员比例.
- 估计节省成本和净收入,避免住院治疗.
主要成果:
- 分析了超过17000次EHR遭遇,其中87%被确定为不可计费.
- 治疗药物监测 (TDM) 插曲产生了比非TDM插曲更大的工作负载.
- 确定了每年1个RN到436个OPAT事件的最佳人员比例.
- 通过OPAT的运营,避免了49350个住院病日,大大节省了成本和净收入.
结论:
- 建立了OPAT计划的数据驱动型人员配置模型.
- 组织可以使用类似的分析来确定最佳的人员和资金.
- 对OPAT的财务效益进行整体评估对于计划的可持续性至关重要.
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