Rethinking the city resilience: COM-B model-based analysis of healthcare accessing behaviour changes affected by COVID-19

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Jiayi Yan, Zigeng Fang, Long Chen, Junqing Tang, Qiuchen Lu, Xuhui Lin
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引用次数: 0

Abstract

The global pandemic of COVID-19 has been influencing people’s lives and the cities. Not only people’s physical and mental health have been threatened, but also the city operation has been profoundly affected from different perspectives (e.g., social and economic) permanently. How cities can efficiently react and response to improve city resilience is an urgent issue to be addressed. The healthcare system as a vital part of the city systems is confronting intense pressure and many challenges under this emergent public health crisis of COVID-19, which might cause huge impacts on the whole city’s operation. Also, human beings as the direct victims of this public health crisis, their behaviour changes impacts on the healthcare system and the city could have been inevitable but have been neglected. In this context, this paper intends to study the citizen healthcare accessing behaviours changes in the post-pandemic era, and to unearth their impacts on the healthcare system and the city operation. For this purpose, first, a framework of influential factors for healthcare accessing was established based on a bidirectional “capability, opportunity, motivation, and behaviour” (COM-B) model and the comprehensive literature review. In which, 43 factors that would influence citizen healthcare accessing behaviour were identified and classified. Thus, based on the proposed framework, two cases (i.e., UK and China) were analysed in depth and compared based on a questionnaire survey to evaluate the factor importance and relationships under different scenarios. And the most influential factors based on analysis results are classified into 12 aspects (e.g., healthcare capability, policy support, information updating etc.). Further, a novel behaviour-healthcare system-city model based on the COM-B model was developed to rethink and indicate the relationships among citizen behaviour, healthcare system and city operation. The research results can be used by policymakers and researchers to improve the city resilience by enabling immediate responses to city systems and citizens behaviours confronting city emergencies.

Abstract Image

重新思考城市复原力:基于 COM-B 模型的受 COVID-19 影响的医疗保健就医行为变化分析
COVID-19 在全球范围内的流行已经影响到人们的生活和城市。不仅人们的身心健康受到威胁,城市的运行也从不同角度(如社会和经济)永久性地受到深刻影响。城市如何有效地做出反应和应对,提高城市的抗灾能力,是一个亟待解决的问题。医疗系统作为城市系统的重要组成部分,在 COVID-19 这场突发的公共卫生危机中面临着巨大的压力和诸多挑战,可能会对整个城市的运行造成巨大影响。同时,人类作为这场公共卫生危机的直接受害者,他们的行为变化对医疗系统和城市的影响可能是不可避免的,但却被忽视了。在此背景下,本文旨在研究后大流行病时代市民医疗保健就医行为的变化,并揭示其对医疗保健系统和城市运行的影响。为此,本文首先基于 "能力、机会、动机和行为"(COM-B)双向模型和全面的文献综述,建立了市民就医影响因素框架。其中,确定并分类了 43 个影响公民就医行为的因素。在此基础上,通过问卷调查对英国和中国两个案例进行了深入分析和比较,以评估不同情景下各因素的重要性和相互关系。根据分析结果,将最具影响力的因素分为 12 个方面(如医疗保健能力、政策支持、信息更新等)。此外,还在 COM-B 模型的基础上建立了一个新的行为-医疗保健系统-城市模型,以重新思考和指出市民行为、医疗保健系统和城市运行之间的关系。政策制定者和研究人员可利用这些研究成果,对城市系统和市民面对城市突发事件时的行为做出即时反应,从而提高城市的抗灾能力。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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