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

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.

Detection of secretory immunoglobulin A (SIgA) in saliva of ventilated and non-ventilated preterm neonates.

The very young preterm neonate has multiple immune deficiencies which may increase his or her vulnerability to infection. Secretory Immunoglobulin A (SIgA) plays an important role in the protection of epithelial surfaces exposed to the external environment; nevertheless controversy exists with regards to the ontogeny of SIgA in newborns and especially the preterm neonate. The objective was to investigate if SIgA could be detected in the saliva of very/extremely low birthweight neonates (V/ELBW). A total of 707 samples which were collected twice daily (morning and afternoon) for three consecutive days were obtained from sixty-eight preterm neonates (mean gestational age 28 weeks; conceptional age ranged from 25-35 weeks). A repeated measures design was used. Total concentration of SIgA was determined from unstimulated saliva by an Enzyme Linked Immunosorbant Assay technique. Results indicated that SIgA was detectable in the early postnatal period in the saliva of both ventilated preterms who were receiving intravenous total parenteral nutrition (TPN) and non-ventilated preterms. A 3-way repeated measures Analysis of Variance (ANOVA) showed no significant effect from 'before' and 'after' samples during a period of spontaneous activity, time and day of sampling. A significant effect of mode of nutrition was found; neonates who were receiving expressed breast milk had significantly higher concentrations of SIgA than those infants receiving TPN (df=3, F=14.27, p<0.0001). These results have implications for the care of the preterm neonate in intensive care.