COVID-19 Data Utilization in North Carolina: Qualitative Analysis of Stakeholder Experiences
BackgroundAs 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....
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2021-09-01
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| Series: | JMIR Public Health and Surveillance |
| Online Access: | https://publichealth.jmir.org/2021/9/e29310 |
| _version_ | 1797735723902697472 |
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| author | Jenny Rees Patterson Donna Shaw Sharita R Thomas Julie A Hayes Christopher R Daley Stefania Knight Jay Aikat Joanna O Mieczkowska Stanley C Ahalt Ashok K Krishnamurthy |
| author_facet | Jenny Rees Patterson Donna Shaw Sharita R Thomas Julie A Hayes Christopher R Daley Stefania Knight Jay Aikat Joanna O Mieczkowska Stanley C Ahalt Ashok K Krishnamurthy |
| author_sort | Jenny Rees Patterson |
| collection | DOAJ |
| description |
BackgroundAs 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.
ObjectiveWe 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.
MethodsWe 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.
ResultsResults 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.
ConclusionsFindings 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. |
| first_indexed | 2024-03-12T13:03:12Z |
| format | Article |
| id | doaj.art-3548bbfde69d47d8a9478b98c4185c17 |
| institution | Directory Open Access Journal |
| issn | 2369-2960 |
| language | English |
| last_indexed | 2024-03-12T13:03:12Z |
| publishDate | 2021-09-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Public Health and Surveillance |
| spelling | doaj.art-3548bbfde69d47d8a9478b98c4185c172023-08-28T18:59:54ZengJMIR PublicationsJMIR Public Health and Surveillance2369-29602021-09-0179e2931010.2196/29310COVID-19 Data Utilization in North Carolina: Qualitative Analysis of Stakeholder ExperiencesJenny Rees Pattersonhttps://orcid.org/0000-0001-5504-7955Donna Shawhttps://orcid.org/0000-0002-0522-5917Sharita R Thomashttps://orcid.org/0000-0002-9227-2761Julie A Hayeshttps://orcid.org/0000-0002-9850-6602Christopher R Daleyhttps://orcid.org/0000-0003-0552-3196Stefania Knighthttps://orcid.org/0000-0002-3191-7968Jay Aikathttps://orcid.org/0000-0002-9595-8814Joanna O Mieczkowskahttps://orcid.org/0000-0002-6482-336XStanley C Ahalthttps://orcid.org/0000-0002-8395-1279Ashok K Krishnamurthyhttps://orcid.org/0000-0002-3215-7622 BackgroundAs 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. ObjectiveWe 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. MethodsWe 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. ResultsResults 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. ConclusionsFindings 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.https://publichealth.jmir.org/2021/9/e29310 |
| spellingShingle | Jenny Rees Patterson Donna Shaw Sharita R Thomas Julie A Hayes Christopher R Daley Stefania Knight Jay Aikat Joanna O Mieczkowska Stanley C Ahalt Ashok K Krishnamurthy COVID-19 Data Utilization in North Carolina: Qualitative Analysis of Stakeholder Experiences JMIR Public Health and Surveillance |
| title | COVID-19 Data Utilization in North Carolina: Qualitative Analysis of Stakeholder Experiences |
| title_full | COVID-19 Data Utilization in North Carolina: Qualitative Analysis of Stakeholder Experiences |
| title_fullStr | COVID-19 Data Utilization in North Carolina: Qualitative Analysis of Stakeholder Experiences |
| title_full_unstemmed | COVID-19 Data Utilization in North Carolina: Qualitative Analysis of Stakeholder Experiences |
| title_short | COVID-19 Data Utilization in North Carolina: Qualitative Analysis of Stakeholder Experiences |
| title_sort | covid 19 data utilization in north carolina qualitative analysis of stakeholder experiences |
| url | https://publichealth.jmir.org/2021/9/e29310 |
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