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一个用于描述普通大众对疾病的认知、信息收集行为以及在疫情期间采取的行动之间相互作用的框架。

A framework for capturing the interactions between laypersons' understanding of disease, information gathering behaviors, and actions taken during an epidemic.

作者信息

Slaughter Laura, Keselman Alla, Kushniruk Andre, Patel Vimla L

机构信息

Laboratory of Decision Making and Cognition, Department of Biomedical Informatics, Columbia University, NY, USA.

出版信息

J Biomed Inform. 2005 Aug;38(4):298-313. doi: 10.1016/j.jbi.2004.12.006. Epub 2005 Jan 30.

Abstract

This paper provides a description of a methodological framework designed to capture the inter-relationships between the lay publics' understanding of health-related processes, information gathering behaviors, and actions taken during an outbreak. We developed and refined our methods during a study involving eight participants living in severe acute respiratory syndrome (SARS)-affected areas (Hong Kong, Taiwan, and Toronto). The framework is an adaptation of narrative analysis, a qualitative method that is used to investigate a phenomenon through interpretation of the stories people tell about their experiences. From our work, several hypotheses emerged that will contribute to future research. For example, our findings showed that many decisions in an epidemic are carefully considered and involve use of significant information gathering. Having a good model of lay actions based on information received and beliefs held will contribute to the development of more effective information support systems in the event of a future epidemic.

摘要

本文描述了一个方法框架,该框架旨在捕捉公众对健康相关过程的理解、信息收集行为以及疫情期间采取的行动之间的相互关系。我们在一项涉及八名生活在严重急性呼吸综合征(SARS)影响地区(香港、台湾和多伦多)的参与者的研究中开发并完善了我们的方法。该框架是对叙事分析的一种改编,叙事分析是一种定性方法,用于通过解读人们讲述的自身经历故事来调查一种现象。从我们的工作中,出现了几个将有助于未来研究的假设。例如,我们的研究结果表明,疫情中的许多决策都是经过仔细考虑的,并且涉及大量信息收集的运用。基于所接收的信息和所持有的信念建立一个良好的公众行动模型,将有助于在未来疫情发生时开发更有效的信息支持系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a7e/7185539/381800ef88e3/gr1.jpg

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