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All of Us 研究计划 COVID-19 参与者体验(COPE)调查的设计与实施。

Design and Implementation of the All of Us Research Program COVID-19 Participant Experience (COPE) Survey.

出版信息

Am J Epidemiol. 2023 Jun 2;192(6):972-986. doi: 10.1093/aje/kwad035.

Abstract

In response to the rapidly evolving coronavirus disease 2019 (COVID-19) pandemic, the All of Us Research Program longitudinal cohort study developed the COVID-19 Participant Experience (COPE) survey to better understand the pandemic experiences and health impacts of COVID-19 on diverse populations within the United States. Six survey versions were deployed between May 2020 and March 2021, covering mental health, loneliness, activity, substance use, and discrimination, as well as COVID-19 symptoms, testing, treatment, and vaccination. A total of 104,910 All of Us Research Program participants, of whom over 73% were from communities traditionally underrepresented in biomedical research, completed 275,201 surveys; 9,693 completed all 6 surveys. Response rates varied widely among demographic groups and were lower among participants from certain racial and ethnic minority populations, participants with low income or educational attainment, and participants with a Spanish language preference. Survey modifications improved participant response rates between the first and last surveys (13.9% to 16.1%, P < 0.001). This paper describes a data set with longitudinal COVID-19 survey data in a large, diverse population that will enable researchers to address important questions related to the pandemic, a data set that is of additional scientific value when combined with the program's other data sources.

摘要

针对快速演变的 2019 年冠状病毒病(COVID-19)大流行,All of Us 研究计划纵向队列研究开发了 COVID-19 参与者体验(COPE)调查,以更好地了解美国不同人群的大流行经历和 COVID-19 对健康的影响。该调查在 2020 年 5 月至 2021 年 3 月期间共部署了 6 个版本,涵盖心理健康、孤独感、活动、物质使用和歧视,以及 COVID-19 症状、检测、治疗和疫苗接种。共有 104910 名 All of Us 研究计划参与者完成了 275201 次调查,其中超过 73%来自传统上在生物医学研究中代表性不足的社区;9693 人完成了所有 6 次调查。在不同的人群中,回应率差异很大,在某些种族和族裔少数群体、收入或教育程度较低的参与者以及偏好西班牙语的参与者中,回应率较低。调查修改在第一次和最后一次调查之间提高了参与者的回应率(从 13.9%提高到 16.1%,P<0.001)。本文描述了一个在大型、多样化人群中具有纵向 COVID-19 调查数据的数据集,这将使研究人员能够解决与大流行相关的重要问题,当与该计划的其他数据源结合使用时,该数据集具有额外的科学价值。

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