How alignment between health systems and their embedded research units contributes to system learning

IF 2 4区 医学 Q3 HEALTH POLICY & SERVICES Healthcare-The Journal of Delivery Science and Innovation Pub Date : 2023-06-01 DOI:10.1016/j.hjdsi.2023.100688
Michael I. Harrison , Amanda E. Borsky
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引用次数: 1

Abstract

Background

There is growing interest in the contributions of embedded, learning health system (LHS), research within healthcare delivery systems. We examined the organization of LHS research units and conditions affecting their contributions to system improvement and learning.

Methods

We conducted 12 key-informant and 44 semi-structured interviews in six delivery systems engaged in LHS research. Using rapid qualitative analysis, we identified themes and compared: successful versus challenging projects; LHS units and other research units in the same system; and LHS units in different systems.

Results

LHS units operate both independently and as subunits within larger research centers. Contributions of LHS units to improvements and learning are influenced by alignment of facilitating factors within units, within the broader system, and between unit and host system. Key alignment factors were availability of internal (system) funding directing researchers’ work toward system priorities; researchers’ skills and experiences that fit a system’s operational needs; LHS unit subculture supporting system improvement and collaboration with clinicians and other internal stakeholders; applications of external funding to system priorities; and executive leadership for system-wide learning. Mutual understanding and collaboration between researchers, clinicians, and leaders was fostered through direct consultation between LHS unit leaders and system executives and engagement of researchers in clinical and operational activities.

Conclusions

Embedded researchers face significant challenges to contributing to system improvement and learning. Nevertheless, when appropriately led, organized, and supported by internal funding, they may learn to collaborate effectively with clinicians and system leaders in advancing care delivery toward the learning health system ideal.

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卫生系统与其嵌入式研究单位之间的协调如何有助于系统学习
背景人们对嵌入式学习型医疗系统(LHS)的贡献越来越感兴趣,这是医疗保健系统中的研究。我们考察了LHS研究单位的组织以及影响其对系统改进和学习贡献的条件。方法我们在六个从事LHS研究的递送系统中进行了12次关键信息提供者和44次半结构化访谈。通过快速定性分析,我们确定了主题并进行了比较:成功的项目与具有挑战性的项目;LHS单位和同一系统中的其他研究单位;以及不同系统中的LHS单元。结果LHS单元既独立运行,又作为大型研究中心内的子单元运行。LHS单元对改进和学习的贡献受到单元内、更广泛的系统内以及单元和宿主系统之间促进因素的一致性的影响。关键的协调因素是内部(系统)资金的可用性,将研究人员的工作引向系统优先事项;符合系统操作需求的研究人员技能和经验;LHS单位亚文化支持系统改进以及与临床医生和其他内部利益相关者的合作;将外部资金用于系统优先事项;以及全系统学习的行政领导。通过LHS部门领导和系统高管之间的直接协商以及研究人员参与临床和运营活动,促进了研究人员、临床医生和领导之间的相互理解和合作。结论嵌入式研究人员在系统改进和学习方面面临着重大挑战。然而,当得到内部资金的适当领导、组织和支持时,他们可能会学会与临床医生和系统领导者有效合作,朝着学习型健康系统的理想方向推进护理提供。
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来源期刊
CiteScore
4.90
自引率
0.00%
发文量
37
期刊介绍: HealthCare: The Journal of Delivery Science and Innovation is a quarterly journal. The journal promotes cutting edge research on innovation in healthcare delivery, including improvements in systems, processes, management, and applied information technology. The journal welcomes submissions of original research articles, case studies capturing "policy to practice" or "implementation of best practices", commentaries, and critical reviews of relevant novel programs and products. The scope of the journal includes topics directly related to delivering healthcare, such as: ● Care redesign ● Applied health IT ● Payment innovation ● Managerial innovation ● Quality improvement (QI) research ● New training and education models ● Comparative delivery innovation
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