Starcevic Vladan, Schimmenti Adriano, Billieux Joël, Berle David
Faculty of Medicine and Health, Sydney Medical School, Nepean Clinical School, Discipline of Psychiatry University of Sydney Sydney New South Wales Australia.
Faculty of Human and Social Sciences UKE - Kore University of Enna Enna Italy.
Hum Behav Emerg Technol. 2021 Jan;3(1):53-62. doi: 10.1002/hbe2.233. Epub 2020 Nov 23.
Cyberchondria is an excessive or repeated online health information seeking that is associated with increasing levels of health anxiety or distress. This article presents a model of cyberchondria during public health crises such as the COVID-19 pandemic. The factors that contribute to cyberchondria at this time include (a) a heightened perception of threat and fear of a newly identified and poorly understood disease; (b) difficulty in coping with uncertainty associated with the pandemic; (c) lack of authoritative and trustworthy sources of relevant health information; (d) difficulty in coping with abundance of information that is often confusing, conflicting, unverified and constantly updated, along with a decreased ability to filter out unnecessary information; and (e) inability of excessive online health information seeking to provide the necessary information and deliver reassurance. These factors amplify fear and distress, which increases the perception of threat and uncertainty and perpetuates further online health searches. Cyberchondria has significant public health implications because of the associated distress or functional impairment and effects on health behaviors. Cyberchondria should be addressed by targeting a heightened perception of threat, improving management of uncertainty and online health information and promoting an ability to critically appraise the results of online health searches. This should contribute to a better online health information literacy. The model of cyberchondria during the COVID-19 pandemic explains the hypothesized rise in cyberchondria during public health emergencies and helps to formulate a framework for prevention of cyberchondria and its effective management.
网络疑病症是指过度或反复地在网上寻求健康信息,且这种行为与健康焦虑或困扰程度的增加相关。本文提出了一种在诸如新冠疫情等公共卫生危机期间的网络疑病症模型。此时导致网络疑病症的因素包括:(a)对新发现且了解甚少的疾病的威胁感知增强和恐惧;(b)应对与疫情相关的不确定性存在困难;(c)缺乏相关健康信息的权威和可靠来源;(d)难以应对大量常常令人困惑、相互矛盾、未经证实且不断更新的信息,同时过滤掉不必要信息的能力下降;(e)过度在网上寻求健康信息无法提供必要信息并给予安心感。这些因素会放大恐惧和困扰,进而增加威胁感和不确定性的认知,并使进一步的在线健康搜索持续下去。由于相关的困扰或功能损害以及对健康行为的影响,网络疑病症具有重大的公共卫生意义。应通过针对增强的威胁感知、改善对不确定性和在线健康信息的管理以及促进批判性评估在线健康搜索结果的能力来解决网络疑病症问题。这应有助于提高在线健康信息素养。新冠疫情期间的网络疑病症模型解释了公共卫生紧急情况期间网络疑病症的假定上升情况,并有助于制定预防网络疑病症及其有效管理的框架。