学习健康系统和证据生态系统:对基于证据的医学和基于证据的指导方针开发的未来的观点
D Rajit1, A Johnson2, E Callander1,2,3
1Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Level 1, 43-51 Kanooka Grove, Melbourne, VIC, 3168, Australia.
实施基于证据的医学 (EBM) 面临挑战. 学习健康系统 (LHS) 模型和证据生态系统提供解决方案,以改善医疗保健提供和患者在规模上的结果.
科学领域:
- 卫生系统科学 卫生系统科学
- 改善临床实践的改善
- 基于证据的医学实施.
背景情况:
- 基于证据的医学 (EBM) 是现代医疗保健的核心,但在卫生系统中面临着重大实施挑战.
- 越来越需要概念模型来有效地将EBM与以患者为中心的护理结合起来.
- 当前的方法往往在有效的证据综合和指导方针实施方面扎.
研究的目的:
- 分析学习健康系统 (LHS) 模型在实用化EBM和以患者为中心的护理方面的潜力.
- 通过LHS镜头将基于证据的指南开发和实施置于背景中.
- 引入证据生态系统作为一个补充模型,并探索其与LHS的整合.
主要方法:
- 概念分析和对现有模型的评论.
- 将LHS框架应用于指导方针开发和实施过程.
- 探索生态系统在增强健康影响中的作用的证据.
主要成果:
- 临床医疗模式提供了一个框架,以更好地将EBM和以患者为中心的护理置于背景和务实化.
- 在指南开发的证据综合阶段的低效率阻碍了下游的遵守.
- 证据生态系统提出了可以补充LHS的创新发展.
结论:
- 学习健康系统对于改善EBM和以患者为中心的护理的整合和应用至关重要.
- 解决证据综合方面的瓶对于有效实施指南至关重要.
- 将证据生态系统与LHS整合起来,可以加速和扩大健康影响.
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