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记录学习型健康系统的进展:对五年定义、模型和框架的系统综述

Charting progress in learning health systems: A systematic review of 5 years of definitions, models, and frameworks.

作者信息

Ellis Louise A, Fisher Georgia, Saba Maree, Dammery Genevieve, Churruca Kate, Spanos Samantha, Smith Carolynn L, Forrester Bianca, Zurynski Yvonne, Braithwaite Jeffrey

机构信息

Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation Macquarie University Sydney New South Wales Australia.

Western Victoria Primary Health Network Geelong Victoria Australia.

出版信息

Learn Health Syst. 2025 Feb 27;9(3):e70006. doi: 10.1002/lrh2.70006. eCollection 2025 Jul.

Abstract

INTRODUCTION

Since being introduced by the Institute of Medicine (IoM) in 2007, the learning health system (LHS) concept has gained traction as a promising solution for achieving systems-level healthcare transformation. This review of the LHS literature consolidates current understanding of LHS definitions, models, frameworks, and underlying theory, relative to their initial conceptualization by the IoM.

METHODS

Three academic databases (PubMed, Embase, and Scopus) were searched for peer-reviewed literature between 2018 and 2023. Articles were included that explicitly focused on LHSs and described an LHS definition, model, or framework. Extracted article information included key article characteristics and article type; LHS definition(s) and their reference(s); components of LHS models or frameworks; and any reported theories underpinning LHS models or frameworks. Extracted data were examined using thematic and visual network analyses, and practical examples of how the domains of an LHS can be actualized in health settings were synthesized.

RESULTS

The majority of the 226 included articles were nonempirical (47%) and originated from high-income countries (97%), with a significant portion from the United States (62%). A third of articles described an LHS implemented in a real-world setting (35%). A significant majority (82%) provided a definition of an LHS, with key concepts centering around "knowledge to practice," "workplace culture," and "informatics." Over half of included articles described an LHS model or framework. From thematic deductive-inductive coding of 145 LHS models and frameworks, most identified aspects related to Science and Informatics (83%) and a Continuous Learning Culture (81%), with the most prevalent sub-domain being Supportive System Competencies (76%). Implementation science was the most used theory to underpin existing models and frameworks.

CONCLUSIONS

By dissecting LHS definitions, models, and frameworks, we present an integrated framework that can serve as a useful tool for LHS researchers, clinicians, and policymakers working to improve health system performance and outcomes.

摘要

引言

自2007年美国医学研究所(IoM)提出学习型健康系统(LHS)概念以来,该概念作为实现系统层面医疗保健转型的一种有前景的解决方案而受到关注。本对LHS文献的综述巩固了当前对LHS定义、模型、框架及其基础理论的理解,这是相对于IoM最初的概念化而言的。

方法

检索了三个学术数据库(PubMed、Embase和Scopus),以查找2018年至2023年间的同行评审文献。纳入的文章明确聚焦于学习型健康系统,并描述了学习型健康系统的定义、模型或框架。提取的文章信息包括文章的关键特征和文章类型;学习型健康系统的定义及其参考文献;学习型健康系统模型或框架的组成部分;以及任何报道的支撑学习型健康系统模型或框架的理论。使用主题分析和可视化网络分析对提取的数据进行检查,并综合了学习型健康系统各领域在健康环境中如何实现的实际示例。

结果

纳入的226篇文章中,大多数是非实证性的(47%),且来自高收入国家(97%),其中很大一部分来自美国(62%)。三分之一的文章描述了在现实环境中实施的学习型健康系统(35%)。绝大多数(82%)提供了学习型健康系统的定义,关键概念围绕“知识转化为实践”、“工作场所文化”和“信息学”。超过一半的纳入文章描述了学习型健康系统模型或框架。通过对145个学习型健康系统模型和框架进行主题演绎-归纳编码,大多数确定的方面与科学和信息学(83%)以及持续学习文化(81%)相关,最普遍的子领域是支持性系统能力(76%)。实施科学是支撑现有模型和框架最常用的理论。

结论

通过剖析学习型健康系统的定义、模型和框架,我们提出了一个综合框架,该框架可以作为一个有用的工具,供致力于改善卫生系统绩效和成果的学习型健康系统研究人员、临床医生和政策制定者使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c69/12264394/c3a1de9fab48/LRH2-9-e70006-g004.jpg

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