囊性纤维化学习网络:对计划目标,属性和影响进行混合方法评估
Aricca D Van Citters1, Madge E Buus-Frank1,2, Joel R King1
1The Dartmouth Institute for Health Policy and Clinical Practice Geisel School of Medicine Lebanon New Hampshire USA.
Learning health systems
|September 21, 2023
概括
囊性纤维化学习网络 (CFLN) 通过促进质量改进 (QI) 和合作,提高患者的治疗成果. 进一步传播CFLN可能会改善更多患有囊性纤维化的人的护理.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 提高质量 提高科学 提高质量
- 患者研究成果研究结果
背景情况:
- 囊性纤维化 (CF) 基金会成立了CF学习网络 (CFLN),以将其护理中心网络 (CCN) 转变为学习健康系统.
- 进行了一项混合方法评估,以评估CFLN的目标,属性和实施后六年的影响.
研究的目的:
- 评估参与者对CFLN目标和属性的理解.
- 评估CFLN目前和未来的感知影响.
- 确定CFLN确定的主题与更广泛的CCN相比是否独特.
主要方法:
- 与24名CFLN参与者进行了半结构化采访.
- 面试的专题分析为调查的发展提供了信息.
- 对103名CFLN成员和25名匹配的CCN项目成员进行了调查.
主要成果:
- 确定的主要CFLN目标是改善CF患者的治疗结果.
- 关键的成功因素包括项目管理,数据利用,QI方法和学习社区.
- 与CCN成员相比,CFLN成员报告了在项目间协作,数据驱动的QI和患者/家庭参与方面更大的参与.
结论:
- 该CFLN证明了超出标准CCN的价值.
- 需要进一步的研究来确定传播CFLN模型的影响,以改善CF的更多个体的治疗结果.
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