Assessment of hospital resilience in response to medical surges during major emerging infectious diseases: A cross-sectional study from China.

IF 2.4 3区 医学 Q2 INFECTIOUS DISEASES
Zi-Wei Xu, Rui Xie, Li Gui, Kang-Yao Cheng
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引用次数: 0

Abstract

Background: This study aimed to systematically assess hospital resilience of China and identify critical contributing elements using a score-based evaluation and network analysis approach.

Methods: A cross-sectional study of 2,084 medical personnel was conducted between April and October 2024. Sociodemographic data were collected via questionnaire, and hospital resilience was assessed using a tool evaluating surge capacity during major infectious disease outbreaks. Network analysis identified core resilience components.

Results: (1) Hospital resilience was moderate. Robustness scored highest (3.90), while recovery scored lowest (3.52). Key weaknesses were identified within the redundancy and resourcefulness dimensions, which had several low-scoring elements. The recovery dimension was the weakest overall, containing 3 specific low-scoring elements. This indicates a particular vulnerability in the hospital's ability to effectively rebound and restore services after a disruptive event. (2) Network analysis identified key elements with high strength centrality, including C61 service quality evaluation (rstrength = 4.207), C33 patient diversion (rstrength = 2.011), and C34 medical information transparency (rstrength = 1.538), among others.

Conclusions: Hospital resilience to major emerging infectious disease-related surges was moderate, with key gaps across resilience dimensions. Central network elements were identified, offering guidance for targeted improvements in preparedness and strengthening overall health care system resilience.

主要新发传染病期间医院应对医疗激增的弹性评估:来自中国的横断面研究
目的:本研究旨在采用基于分数的评价和网络分析方法系统地评估中国医院的弹性,并找出关键的影响因素。方法:采用横断面观察研究方法,于2024年4月至10月在各医院开展,共纳入2084名医务人员。社会人口统计数据采用自我报告问卷收集。医院复原力的评估使用了一种工具,该工具旨在评估与中东医疗危机相关的医疗激增期间的应对能力。采用网络分析来确定核心弹性框架中的核心要素。结果:(1)医院应变能力中等。稳健性得分最高(3.90),而恢复性得分最低(3.52)。在冗余和足智多谋维度中确定了关键弱点,其中有几个得分较低的元素。“恢复”维度总体上是最弱的,包含三个特定的低得分元素。这表明医院在发生破坏性事件后有效反弹和恢复服务的能力特别脆弱。(2)网络分析发现C61服务质量评价(强度= 4.207)、C33患者分流(强度= 2.011)、C34医疗信息透明度(强度= 1.538)等具有较高强度中心性的关键要素。结论:医院对meid相关突发事件的应变能力是中等的,在应变能力各维度上存在关键差距。确定了中心网络要素,为有针对性地改进准备工作和加强整体医疗保健系统的复原力提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.40
自引率
4.10%
发文量
479
审稿时长
24 days
期刊介绍: AJIC covers key topics and issues in infection control and epidemiology. Infection control professionals, including physicians, nurses, and epidemiologists, rely on AJIC for peer-reviewed articles covering clinical topics as well as original research. As the official publication of the Association for Professionals in Infection Control and Epidemiology (APIC)
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