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评估新冠疫情之前及期间的院内护理过渡结构:网络分析研究

Assessing Intrahospital Care Transition Structures Before and During the COVID-19 Pandemic: Network Analysis Study.

作者信息

Feng Yubo, Fu Jiayi, Patel Mayur, Chen You

机构信息

Vanderbilt University, Nashville, TN.

Vanderbilt University Medical Center, Nashville, TN.

出版信息

AMIA Jt Summits Transl Sci Proc. 2023 Jun 16;2023:148-156. eCollection 2023.

Abstract

Transitions of care (TOC) is essential for patients with complex medical needs to maintain the continuity of care. The COVID-19 pandemic may result in unexpected pressure on healthcare organizations' routine work and may burden the TOC system. The objective of this study is to assess TOC structures in pre- and intra-COVID-19 and quantify changes in the structures through the lens of network analysis. We investigated a trauma registry repository consisting of care transitions of 5,674 (2,699 and 2,975 in pre- and intra-COVID-19) inpatients admitted to Vanderbilt University Medical Center (VUMC) between January 2019 and May 2021. Network metrics, including assortativity, homophily, and small-world-ness were leveraged to measure TOC structures and their changes. Our results showed both pre- and intra-COVID-19 TOC structures were disassortative, homophily, and small-world- ness, and the COVID-19 pandemic had limited influences on the three characteristics of the TOC structures. The disassortative TOC structure indicates patients can be efficiently transferred between triage centers (highly connected units) and receivers (lowly connected units); the homophily structure demonstrates two connected care units serve similar patients, and the small-world-ness reveals a patient can be transferred to highly collaborative care units with a short length of transfer path.

摘要

医疗照护过渡(TOC)对于有复杂医疗需求的患者维持照护的连续性至关重要。新冠疫情可能给医疗机构的日常工作带来意想不到的压力,并可能给TOC系统造成负担。本研究的目的是评估新冠疫情前和疫情期间的TOC结构,并通过网络分析的视角量化这些结构的变化。我们调查了一个创伤登记库,其中包含2019年1月至2021年5月间入住范德比尔特大学医学中心(VUMC)的5674名住院患者(新冠疫情前2699名,疫情期间2975名)的照护过渡情况。利用包括 assortativity、同质性和小世界特性等网络指标来衡量TOC结构及其变化。我们的结果显示,新冠疫情前和疫情期间的TOC结构均具有负向混合性、同质性和小世界特性,且新冠疫情对TOC结构的这三个特征影响有限。负向混合性TOC结构表明患者能够在分诊中心(高度连接的单元)和接收方(连接度低的单元)之间高效转移;同质性结构表明两个相连的照护单元服务相似的患者,而小世界特性表明患者能够通过较短的转移路径被转移到协作性高的照护单元。

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