Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, United States.
Department of Epidemiology, Colorado School of Public Health, Aurora, CO, United States.
JMIR Public Health Surveill. 2022 Jun 13;8(6):e37327. doi: 10.2196/37327.
Characterizing the experience and impact of the COVID-19 pandemic among various populations remains challenging due to the limitations inherent in common data sources, such as electronic health records (EHRs) or cross-sectional surveys.
This study aims to describe testing behaviors, symptoms, impact, vaccination status, and case ascertainment during the COVID-19 pandemic using integrated data sources.
In summer 2020 and 2021, we surveyed participants enrolled in the Biobank at the Colorado Center for Personalized Medicine (CCPM; N=180,599) about their experience with COVID-19. The prevalence of testing, symptoms, and impacts of COVID-19 on employment, family life, and physical and mental health were calculated overall and by demographic categories. Survey respondents who reported receiving a positive COVID-19 test result were considered a "confirmed case" of COVID-19. Using EHRs, we compared COVID-19 case ascertainment and characteristics in EHRs versus the survey. Positive cases were identified in EHRs using the International Statistical Classification of Diseases, 10th revision (ICD-10) diagnosis codes, health care encounter types, and encounter primary diagnoses.
Of the 25,063 (13.9%) survey respondents, 10,661 (42.5%) had been tested for COVID-19, and of those, 1366 (12.8%) tested positive. Nearly half of those tested had symptoms or had been exposed to someone who was infected. Young adults (18-29 years) and Hispanics were more likely to have positive tests compared to older adults and persons of other racial/ethnic groups. Mental health (n=13,688, 54.6%) and family life (n=12,233, 48.8%) were most negatively affected by the pandemic and more so among younger groups and women; negative impacts on employment were more commonly reported among Black respondents. Of the 10,249 individuals who responded to vaccination questions from version 2 of the survey (summer 2021), 9770 (95.3%) had received the vaccine. After integration with EHR data up to the time of the survey completion, 1006 (4%) of the survey respondents had a discordant COVID-19 case status between EHRs and the survey. Using all longitudinal EHR and survey data, we identified 11,472 (6.4%) COVID-19-positive cases among Biobank participants. In comparison to COVID-19 cases identified through the survey, EHR-identified cases were younger and more likely to be Hispanic.
We found that the COVID-19 pandemic has had far-reaching and varying effects among our Biobank participants. Integrated data assets, such as the Biobank at the CCPM, are key resources for population health monitoring in response to public health emergencies, such as the COVID-19 pandemic.
由于电子健康记录 (EHR) 或横断面调查等常见数据源固有的局限性,描述不同人群中 COVID-19 的经历和影响仍然具有挑战性。
本研究旨在使用综合数据源描述 COVID-19 大流行期间的检测行为、症状、影响、疫苗接种状况和病例确定。
在 2020 年夏季和 2021 年,我们调查了科罗拉多个性化医学中心 (CCPM) 生物库中登记的参与者(N=180599 人),了解他们的 COVID-19 经历。计算了总体和按人口统计学类别进行的检测、症状以及 COVID-19 对就业、家庭生活以及身心健康的影响的流行率。报告收到 COVID-19 阳性检测结果的调查受访者被视为 COVID-19 的“确诊病例”。使用 EHR,我们比较了 EHR 与调查中的 COVID-19 病例确定和特征。使用国际疾病分类第 10 版 (ICD-10) 诊断代码、医疗保健就诊类型和就诊主要诊断在 EHR 中确定阳性病例。
在 25063 名(13.9%)调查受访者中,有 10661 名(42.5%)接受了 COVID-19 检测,其中 1366 名(12.8%)检测呈阳性。接受检测的人群中几乎有一半有症状或接触过感染的人。与老年人和其他种族/族裔群体相比,年轻成年人(18-29 岁)和西班牙裔更有可能检测呈阳性。心理健康(n=13688,54.6%)和家庭生活(n=12233,48.8%)受大流行的负面影响最大,而且在年轻群体和女性中更为明显;黑人员工更常报告对就业的负面影响。在对 2021 年夏季调查(第二版)中疫苗问题做出回应的 10249 名个人中,有 9770 名(95.3%)已接种疫苗。在整合调查完成时的 EHR 数据后,调查受访者中有 1006 名(4%)在 EHR 和调查之间的 COVID-19 病例状态不一致。使用所有纵向 EHR 和调查数据,我们在生物库参与者中确定了 11472 名(6.4%)COVID-19 阳性病例。与通过调查确定的 COVID-19 病例相比,EHR 确定的病例更年轻,更有可能是西班牙裔。
我们发现 COVID-19 大流行对我们的生物库参与者产生了深远而不同的影响。综合数据资产(如 CCPM 的生物库)是针对 COVID-19 等突发公共卫生事件进行人群健康监测的重要资源。