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在纽约市疫情爆发初期,针对高风险、种族多样化的成年人,通过社区健康门户进行的一项横断面调查,研究了与 COVID-19 相关的信息来源的信任度和可信度。

Trust and credibility of information sources related to COVID-19 among high-risk ethnically diverse adults at the onset of the New York City outbreak: A cross-sectional survey conducted via a community health portal.

机构信息

Department of Biomedical Informatics, Columbia University, New York, NY, USA.

Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA.

出版信息

AMIA Annu Symp Proc. 2022 Feb 21;2021:660-667. eCollection 2021.

Abstract

In March 2020, days after New York shut down to mitigate the spread of COVID-19, we developed a cross-sectional, participant-administered electronic survey to explore how New Yorkers were impacted by and were responding to the ongoing crisis. A critical component of the survey was to assess how credible and trustworthy respondents found various information sources. To advertise and distribute the survey, we embedded an invitation to participate using a popup on the GetHealthyHeights.org website. GetHealthyHeights was designed using community-based participatory research for the medically-underserved, urban, and largely Latinx community of Washington Heights-Inwood, New York City. We received 321 responses from April through July 2020. Participant ages ranged from 25 to 87, and 25% were Latinx. Results showed that the choice of and trust in different COVID-19 information sources were observed to be significantly different across demographic variables, including gender, age, race, and chronic health conditions. In the domains of trust and information source credibility, designers should account for perspectives of diverse subgroups.

摘要

2020 年 3 月,在纽约为了减缓 COVID-19 的传播而关闭几天后,我们开发了一项横断面、参与者管理的电子调查,以探讨纽约人如何受到持续危机的影响以及他们如何应对这场危机。该调查的一个关键组成部分是评估受访者对各种信息来源的信任程度。为了宣传和分发调查,我们在 GetHealthyHeights.org 网站上使用弹出窗口嵌入了参与邀请。GetHealthyHeights 是为医疗服务不足、城市和以拉丁裔为主的华盛顿高地-因伍德社区设计的,采用社区参与性研究方法。我们在 2020 年 4 月至 7 月期间收到了 321 份回复。参与者年龄在 25 岁至 87 岁之间,其中 25%是拉丁裔。结果表明,对不同 COVID-19 信息来源的选择和信任在性别、年龄、种族和慢性健康状况等人口统计学变量方面存在显著差异。在信任和信息源可信度方面,设计师应该考虑到不同亚群体的观点。

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