恩格拉夫特:一个协作学习健康网络,用于增强移植和细胞治疗结果
Christopher E Dandoy1, Jeffery J Auletta2, Priscila Badia1
1Division of Bone Marrow Transplant and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; University of Cincinnati College of Medicine, Cincinnati, Ohio.
Transplantation and cellular therapy
|January 1, 2025
概括
恩格拉夫特学习健康网络 (LHN) 促进不同利益相关者之间的合作,以提高移植和细胞治疗 (TCT) 的结果. 通过规范实践和使用现实世界的数据,它旨在减少死亡率和改善生存率.
科学领域:
- 移植和细胞疗法 (TCT)
- 学习健康系统 学习健康系统
- 质量改进 (QI) 是指提高质量的方法.
背景情况:
- 移植和细胞疗法 (TCT) 的结果在各机构之间有很大差异.
- 需要采用协作,数据驱动的方法来规范护理,加快TCT的创新.
研究的目的:
- 引入Engraft学习健康网络 (LHN) 的设计和目标.
- 概述Engraft的战略,通过合作和数据共享来改善TCT患者的治疗结果.
- 突出网络的重点是快速循环质量改善和实施研究.
主要方法:
- 为TCT建立一个多中心的,现实世界的临床注册.
- 开发质量改进 (QI) 工具包和最佳实践指南.
- 促进网络成员之间的非身份患者数据共享.
- 参与患者和护理人员作为网络治理中的平等伙伴.
主要成果:
- 早期的成功包括开发QI工具包和围绕最佳实践建立共识.
- 专注于减少非复发性死亡率和改善患者的生存率.
- 证明了对患者和护理人员参与网络方向的承诺.
结论:
- 恩格拉夫特LHN模型促进了TCT的协作,数据驱动的改进.
- 标准化实践和共享现实数据可以减少结果的变化.
- 患者和护理人员的伙伴关系是网络成功和未来目标的组成部分.
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