Accepted for/Published in: JMIR Public Health and Surveillance
Date Submitted: Apr 1, 2021
Open Peer Review Period: Apr 1, 2021 - May 27, 2021
Date Accepted: Jul 15, 2021
Date Submitted to PubMed: Aug 3, 2021
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
COVID-19 Data Utilization in North Carolina: A Qualitative Analysis
ABSTRACT
Background:
As the world faced the COVID-19 pandemic caused by the novel coronavirus, SARS-COV-2, 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 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.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.