{"title":"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","authors":"Zi-Wei Xu, Rui Xie, Li Gui, Kang-Yao Cheng","doi":"10.1016/j.ajic.2025.08.031","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>This study aimed to systematically assess hospital resilience of China and identify critical contributing elements using a score-based evaluation and network analysis approach.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>(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 (r<sub>strength</sub> = 4.207), C33 patient diversion (r<sub>strength</sub> = 2.011), and C34 medical information transparency (r<sub>strength</sub> = 1.538), among others.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of hospital resilience in response to medical surges during major emerging infectious diseases: A cross-sectional study from China.\",\"authors\":\"Zi-Wei Xu, Rui Xie, Li Gui, Kang-Yao Cheng\",\"doi\":\"10.1016/j.ajic.2025.08.031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>This study aimed to systematically assess hospital resilience of China and identify critical contributing elements using a score-based evaluation and network analysis approach.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>(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 (r<sub>strength</sub> = 4.207), C33 patient diversion (r<sub>strength</sub> = 2.011), and C34 medical information transparency (r<sub>strength</sub> = 1.538), among others.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":7621,\"journal\":{\"name\":\"American journal of infection control\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of infection control\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.ajic.2025.08.031\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of infection control","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ajic.2025.08.031","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
Assessment of hospital resilience in response to medical surges during major emerging infectious diseases: A cross-sectional study from China.
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.
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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