从证明转向改进:一个协作的持续质量改进过程,以促进临床和翻译科学的发展
Ariel Y Fishman1, David W Lounsbury1, Claudia Lechuga1
1Harold and Muriel Block Institute for Clinical and Translational Research, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.
Journal of clinical and translational science
|December 10, 2024
概括
本研究概述了临床和翻译科学奖 (CTSA) 计划的持续质量改进 (CQI) 框架. 它的重点是利用数据收集进行改进,而不仅仅是评估,提高研究质量和影响.
科学领域:
- 临床和翻译研究.
- 医疗保健服务研究 医疗服务研究
- 项目管理 项目管理 项目管理
背景情况:
- 结构化流程对于提高CTSA计划内的临床和翻译研究质量至关重要.
- 传统的评估计划可能由于指标相关性和激励问题而无法推动实际的质量改进.
研究的目的:
- 描述一种新的方法来提高CTSA程序质量,优先考虑持续质量改进 (CQI),而不是纯粹的评估数据收集.
- 详细介绍一个结构化,代的规划流程,在CTSA中心实施CQI.
主要方法:
- 召集CTSA中心领导人进行代规划过程.
- 开发一个具有三个核心组成部分的CQI框架:逻辑模型,相关绩效指标和协作行动框架.
- 蓄意将重点从外部评估转移到通过数据收集的内部质量提升.
主要成果:
- 描述的CQI流程为推进研究质量提供了一个结构化的方法.
- 该框架通过定义目标,机制和可行的步骤来促进有针对性的改进.
- 强调CQI而不是评估,提高了数据收集活动的相关性和影响.
结论:
- 通过结构化框架支持的持续质量改进,比传统的评估方法更有效地提高CTSA程序质量.
- 拟议的CQI模型为其他试图改善研究影响的CTSA计划提供了可复制的策略.
- 整合逻辑模型,相关指标和协作行动计划推动了有意义的绩效提升.
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