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首页> 外文期刊>JMIR public health and surveillance. >COVID-19 Data Utilization in North Carolina: Qualitative Analysis of Stakeholder Experiences
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COVID-19 Data Utilization in North Carolina: Qualitative Analysis of Stakeholder Experiences

机译：Covid-19北卡罗来纳的数据利用：利益相关者体验的定性分析

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BACKGROUND:As the world faced the pandemic caused by the novel coronavirus disease 2019 (COVID-19), medical professionals, technologists, community leaders, and policymakers sought to understand how best to leverage data for public health surveillance, as well as community education. With this complex public health problem, North Carolinians relied on data from state, federal, and global health organizations to increase their understanding of the pandemic and guide decision making.OBJECTIVE:This study aimed to describe the role that stakeholders involved in COVID-19-related data played in managing the pandemic in North Carolina. The study investigated the processes used by organizations throughout the state in using, collecting, and reporting COVID-19 data.METHODS:The authors used an exploratory qualitative study design to investigate North Carolina's COVID-19 data collection efforts. To better understand these processes, key informant interviews were conducted with employees from organizations that collected COVID-19 data across the state. The study team developed an interview guide, and interviews were conducted during the period of June through November 2020 in an open-ended, semi-structured format. Interviews lasted between 30 and 45 minutes and were conducted by data scientists over the online video conferencing platform, Zoom. Data were subsequently analyzed using qualitative data analysis software.RESULTS:Results indicated that electronic health records were primary sources of COVID-19 data. Often, data were also used to create dashboards to inform the public or other health professionals, to aid in decision making, or for reporting purposes. Cross-sector collaboration was cited as a major success in the study. Consistency among metrics and data definitions, data collection processes, and contact tracing were cited as challenges.CONCLUSIONS:Findings suggest that, during future outbreaks, organizations across regions could benefit from data centralization and data governance. Data should be publicly accessible and in a user-friendly format. Additionally, established cross-sector collaboration networks are demonstrably beneficial for public health professionals across the state as these established relationships facilitate a rapid response to evolving public health challenges.
机译：背景：由于世界面临着2019年（Covid-19），医疗专业人员，技术人士，社区领导者和政策制定者的大流行，并寻求了解如何最好地利用公共卫生监测数据以及社区教育。随着这一复杂的公共卫生问题，北卡罗来尼亚人依靠国家，联邦和全球卫生组织的数据来增加他们对大流行和指导决策的理解。目的：这项研究旨在描述参与Covid-19的利益相关者的作用相关数据在北卡罗来纳州管理大流行中。该研究调查了各种国家在使用，收集和报告Covid-19 Data.Methods中的整个国家使用的过程：作者使用了探索性定性研究设计来调查北卡罗来纳的Covid-19数据收集努力。为了更好地了解这些流程，关键的信息访谈是与来自国家跨国公司收集Covid-19数据的组织的员工进行的。研究团队制定了面试指导，采访于6月至11月20日以11月20日以开放的半结构化格式进行。面试持续在30到45分钟之间，并通过在线视频会议平台上的数据科学家进行了缩放。随后使用定性数据分析软件进行分析数据。结果：结果表明电子健康记录是CoVID-19数据的主要来源。通常，数据也用于创建仪表板以通知公众或其他卫生专业人员，以帮助决策，或报告目的。跨部门合作被引用作为研究的主要成功。指标和数据定义，数据收集过程和联系方式之间的一致性被引用为挑战。结论：调查结果表明，在未来爆发期间，各地区的组织可以从数据集中化和数据治理中受益。数据应公开访问，并以用户友好的格式。此外，由于这些建立的关系有助于快速应对不断变化的公共卫生挑战，所建立的跨部门协作网络对公共卫生专业人员有利地有利于公共卫生专业人员。

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