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Validation of a Framework for Measuring Hospital Disaster Resilience Using Factor Analysis

Bibliographic Data

ID15467946
AuthorsShuang Zhong (0000-0001-6103-5125, Queensland University of Technology, corresponding author), Michele Clark (0000-0002-1079-3812, Queensland University of Technology), Xiang‐Yu Hou (0000-0002-2015-3579, Queensland University of Technology), Yuli Zang (0000-0002-7717-6907, Shandong University), Gerard FitzGerald (0000-0002-5586-0097, Queensland University of Technology, corresponding author)
Year2014
Volume11
Issue6
Pages6335-6353
Publication date2014-06-18
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph110606335
PMID24945190
PMCIDPMC4078582
OpenAlexW2124469152
LanguageEN
Citations received20
References cited7

Hospital disaster resilience can be defined as "the ability of hospitals to resist, absorb, and respond to the shock of disasters while maintaining and surging essential health services, and then to recover to its original state or adapt to a new one." This article aims to provide a framework which can be used to comprehensively measure hospital disaster resilience. An evaluation framework for assessing hospital resilience was initially proposed through a systematic literature review and Modified-Delphi consultation. Eight key domains were identified: hospital safety, command, communication and cooperation system, disaster plan, resource stockpile, staff capability, disaster training and drills, emergency services and surge capability, and recovery and adaptation. The data for this study were collected from 41 tertiary hospitals in Shandong Province in China, using a specially designed questionnaire. Factor analysis was conducted to determine the underpinning structure of the framework. It identified a four-factor structure of hospital resilience, namely, emergency medical response capability (F1), disaster management mechanisms (F2), hospital infrastructural safety (F3), and disaster resources (F4). These factors displayed good internal consistency. The overall level of hospital disaster resilience (F) was calculated using the scoring model: F = 0.615F1 + 0.202F2 + 0.103F3 + 0.080F4. This validated framework provides a new way to operationalise the concept of hospital resilience, and it is also a foundation for the further development of the measurement instrument in future studies

Business · Coronavirus disease 2019 (COVID-19 · Delphi method · Emergency management · Medical emergency · Operations management · Political science · Process management · Resilience (materials science · Risk analysis (engineering · Surge Capacity · Computer Science · Disaster Management and Resilience · Disaster Response and Management · Engineering · Infrastructure Resilience and Vulnerability Analysis · Medicine

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Citations per year2.22
Citation span2017 - 2025 (9)
Highly citedNo

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