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. 2021 Sep 2;7(9):e29310.
doi: 10.2196/29310.

COVID-19 Data Utilization in North Carolina: Qualitative Analysis of Stakeholder Experiences

Jenny Rees Patterson  1 , Donna Shaw  2 , Sharita R Thomas  3 , Julie A Hayes  4 , Christopher R Daley  4 , Stefania Knight  4 , Jay Aikat  4 , Joanna O Mieczkowska  4 , Stanley C Ahalt  4 , Ashok K Krishnamurthy  4
Affiliations

COVID-19 Data Utilization in North Carolina: Qualitative Analysis of Stakeholder Experiences

Jenny Rees Patterson et al. JMIR Public Health Surveill. .

Abstract

Background: As the world faced the pandemic caused by the novel coronavirus disease 2019 (COVID-19), medical professionals, technologists, community leaders, and policy makers sought to understand how best to leverage data for public health surveillance and 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: We 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: We 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. We developed an interview guide, and open-ended semistructured interviews were conducted during the period from June through November 2020. Interviews lasted between 30 and 45 minutes and were conducted by data scientists by videoconference. 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. 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.

Keywords: COVID-19; SARS-CoV-2; coronavirus disease 2019; data; data collection; data reporting; interview; pandemic; public health; qualitative research.

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Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
COVID-19 data flow in North Carolina in 2020.
See this image and copyright information in PMC

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