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学习健康系统2.0的进展:对学习健康系统对流行病和气候变化的反应进行快速审查
Carolynn L Smith1,2, Georgia Fisher3, Putu Novi Arfirsta Dharmayani3,4
1Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, 75 Talavera Road, North Ryde 2113, Sydney, Australia. klynn.smith@mq.edu.au.
学习卫生系统 (LHS) 框架有助于卫生系统适应流行病和气候变化. 一个LHS 2.0方法增强数据到知识的翻译,以应对未来的健康挑战.
科学领域:
- 卫生系统研究 卫生系统研究
- 公共卫生准备情况 公共卫生准备情况
- 适应气候变化 适应气候变化
背景情况:
- 流行病和气候变化对全球卫生系统构成重大挑战.
- 领先的卫生系统正在采用学习健康系统 (LHS) 方法来改善数据利用和知识翻译.
- 本综述研究了LHS框架如何应对当前的危机,并为未来的干扰做好准备,旨在实现LHS 2.0.0.
研究的目的:
- 确定卫生系统如何利用LHS框架来应对COVID-19大流行和气候变化.
- 通过LHS 2.0.0.的透视来评估卫生系统对未来干扰的准备.
- 确定LHS框架的关键维度,这些维度在现实应用中被强调最多和最少.
主要方法:
- 从2018年3月到2023年3月以英语出版的同行评审文献的快速审查.
- 在Embase,Scopus和PubMed中进行了搜索,包括有关卫生系统应对流行病和气候变化的出版物.
- 使用医学研究所/祖林斯基-布雷斯韦特的LHS框架的五个维度进行了主题分析.
主要成果:
- 包括32个出版物,其中大多数是案例研究或叙事描述.
- 科学和信息学,持续学习文化,结构和治理是最常讨论的LHS维度.
- 流行病被视为LHS发展的机会,大多数论文都讨论了挑战的好处.
结论:
- 学习健康系统2.0 (LHS 2.0) 方法适用于应对流行病和气候变化的动态条件.
- 在LHS内部不断学习的文化可以改善患者护理,公共政策和信息传递.
- 在LHS中有效的IT系统增强了对未来与流行病和气候变化相关的健康事件的监视能力.
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