在多重并存的变革压力中不断发展:加拿大 COVID-19 大流行期间初级保健自我组织的案例研究。

IF 2 Q2 MEDICINE, GENERAL & INTERNAL
Patricia Thille, Anastasia Tobin, Jenna M Evans, Alan Katz, Grant M Russell
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引用次数: 0

摘要

背景:初级保健通常被描述为变化缓慢。但从复杂性理论的概念来看,初级保健通过自组织过程以不可预测的非线性方式不断变化。事实证明,很难对自组织过程进行直接研究。我们的目标是开发一种研究自组织的方法,并描述一个初级医疗诊所是如何随着时间的推移进行自组织的:我们在 2021 年 5 月至 11 月期间完成了对一家城市初级保健诊所的虚拟案例研究,运用行为者网络理论的方法论见解来研究复杂性理论中的自组织概念。我们选择将注意力集中在改变组织常规的自组织活动上。数据包括观察团队会议的现场记录、文件收集、对诊所成员的访谈以及每周简短讨论的记录,以发现改变临床和行政常规的行动。我们采用图式分析法,按时间顺序描述了不同组织常规的变化,然后探讨了相互交叉的变化。我们向参与诊所征求了对结果的反馈意见:研究结果:在 COVID-19 大流行期间,重建平衡仍然是一项挑战。初级保健诊所继续进行自我组织,以应对不断变化的卫生政策、早期调整的意外后果、人员变动以及临床护理措施。物理空间、技术、外部和内部政策、指导方针以及诊所成员都对自我组织产生了影响。改变其中一项会产生连锁反应,有时会产生新的、意想不到的问题。成员检查证实,我们捕捉到了案例研究期间组织常规的大部分变化:通过对行动者-网络理论的深入了解,并将其应用于研究改变组织常规的行动,我们有可能将自组织这一理论概念付诸实践。我们的研究方法揭示了基层医疗诊所作为一个不断变化的实体,在应对各种变化压力的过程中,其自我组织过程是并存和交叉的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolving through multiple, co-existing pressures to change: a case study of self-organization in primary care during the COVID-19 pandemic in Canada.

Background: Primary care is often described as slow to change. But conceptualized through complexity theory, primary care is continually changing in unpredictable, non-linear ways through self-organization processes. Self-organization has proven hard to study directly. We aimed to develop a methodology to study self-organization and describe how a primary care clinic self-organizes over time.

Methodology: We completed a virtual case study of an urban primary care clinic from May-Nov 2021, applying methodological insights from actor-network theory to examine the complexity theory concept of self-organization. We chose to focus our attention on self-organization activities that alter organizational routines. Data included fieldnotes of observed team meetings, document collection, interviews with clinic members, and notes from brief weekly discussions to detect actions to change clinical and administrative routines. Adapting schema analysis, we described changes to different organizational routines chronologically, then explored intersecting changes. We sought feedback on results from the participating clinic.

Findings: Re-establishing equilibrium remained challenging well into the COVID-19 pandemic. The primary care clinic continued to self-organize in response to changing health policies, unintended consequences of earlier adaptations, staff changes, and clinical care initiatives. Physical space, technologies, external and internal policies, guidelines, and clinic members all influenced self-organization. Changing one created ripple effects, sometimes generating new, unanticipated problems. Member checking confirmed we captured most of the changes to organizational routines during the case study period.

Conclusions: Through insights from actor-network theory, applied to studying actions taken that alter organizational routines, it is possible to operationalize the theoretical construct of self-organization. Our methodology illuminates the primary care clinic as a continually changing entity with co-existing and intersecting processes of self-organization in response to varied change pressures.

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CiteScore
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