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Minnesota Electronic Health Record Consortium COVID-19 Project: Informing Pandemic Response Through Statewide Collaboration Using Observational Data

OBJECTIVE: Robust disease and syndromic surveillance tools are underdeveloped in the United States, as evidenced by limitations and heterogeneity in sociodemographic data collection throughout the COVID-19 pandemic. To monitor the COVID-19 pandemic in Minnesota, we developed a federated data network...

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Autores principales: Winkelman, Tyler N. A., Margolis, Karen L., Waring, Stephen, Bodurtha, Peter J., Khazanchi, Rohan, Gildemeister, Stefan, Mink, Pamela J., DeSilva, Malini, Murray, Anne M., Rai, Nayanjot, Sonier, Julie, Neely, Claire, Johnson, Steven G., Chamberlain, Alanna M., Yu, Yue, McFarling, Lynn M., Dudley, R. Adams, Drawz, Paul E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900228/
https://www.ncbi.nlm.nih.gov/pubmed/35060411
http://dx.doi.org/10.1177/00333549211061317
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author Winkelman, Tyler N. A.
Margolis, Karen L.
Waring, Stephen
Bodurtha, Peter J.
Khazanchi, Rohan
Gildemeister, Stefan
Mink, Pamela J.
DeSilva, Malini
Murray, Anne M.
Rai, Nayanjot
Sonier, Julie
Neely, Claire
Johnson, Steven G.
Chamberlain, Alanna M.
Yu, Yue
McFarling, Lynn M.
Dudley, R. Adams
Drawz, Paul E.
author_facet Winkelman, Tyler N. A.
Margolis, Karen L.
Waring, Stephen
Bodurtha, Peter J.
Khazanchi, Rohan
Gildemeister, Stefan
Mink, Pamela J.
DeSilva, Malini
Murray, Anne M.
Rai, Nayanjot
Sonier, Julie
Neely, Claire
Johnson, Steven G.
Chamberlain, Alanna M.
Yu, Yue
McFarling, Lynn M.
Dudley, R. Adams
Drawz, Paul E.
author_sort Winkelman, Tyler N. A.
collection PubMed
description OBJECTIVE: Robust disease and syndromic surveillance tools are underdeveloped in the United States, as evidenced by limitations and heterogeneity in sociodemographic data collection throughout the COVID-19 pandemic. To monitor the COVID-19 pandemic in Minnesota, we developed a federated data network in March 2020 using electronic health record (EHR) data from 8 multispecialty health systems. MATERIALS AND METHODS: In this serial cross-sectional study, we examined patients of all ages who received a COVID-19 polymerase chain reaction test, had symptoms of a viral illness, or received an influenza test from January 3, 2016, through November 7, 2020. We evaluated COVID-19 testing rates among patients with symptoms of viral illness and percentage positivity among all patients tested, in aggregate and by zip code. We stratified results by patient and area-level characteristics. RESULTS: Cumulative COVID-19 positivity rates were similar for people aged 12-64 years (range, 15.1%-17.6%) but lower for adults aged ≥65 years (range, 9.3%-10.7%). We found notable racial and ethnic disparities in positivity rates early in the pandemic, whereas COVID-19 positivity was similarly elevated across most racial and ethnic groups by the end of 2020. Positivity rates remained substantially higher among Hispanic patients compared with other racial and ethnic groups throughout the study period. We found similar trends across area-level income and rurality, with disparities early in the pandemic converging over time. PRACTICE IMPLICATIONS: We rapidly developed a distributed data network across Minnesota to monitor the COVID-19 pandemic. Our findings highlight the utility of using EHR data to monitor the current pandemic as well as future public health priorities. Building partnerships with public health agencies can help ensure data streams are flexible and tailored to meet the changing needs of decision makers.
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spelling pubmed-89002282022-11-28 Minnesota Electronic Health Record Consortium COVID-19 Project: Informing Pandemic Response Through Statewide Collaboration Using Observational Data Winkelman, Tyler N. A. Margolis, Karen L. Waring, Stephen Bodurtha, Peter J. Khazanchi, Rohan Gildemeister, Stefan Mink, Pamela J. DeSilva, Malini Murray, Anne M. Rai, Nayanjot Sonier, Julie Neely, Claire Johnson, Steven G. Chamberlain, Alanna M. Yu, Yue McFarling, Lynn M. Dudley, R. Adams Drawz, Paul E. Public Health Rep Public Health Methodology OBJECTIVE: Robust disease and syndromic surveillance tools are underdeveloped in the United States, as evidenced by limitations and heterogeneity in sociodemographic data collection throughout the COVID-19 pandemic. To monitor the COVID-19 pandemic in Minnesota, we developed a federated data network in March 2020 using electronic health record (EHR) data from 8 multispecialty health systems. MATERIALS AND METHODS: In this serial cross-sectional study, we examined patients of all ages who received a COVID-19 polymerase chain reaction test, had symptoms of a viral illness, or received an influenza test from January 3, 2016, through November 7, 2020. We evaluated COVID-19 testing rates among patients with symptoms of viral illness and percentage positivity among all patients tested, in aggregate and by zip code. We stratified results by patient and area-level characteristics. RESULTS: Cumulative COVID-19 positivity rates were similar for people aged 12-64 years (range, 15.1%-17.6%) but lower for adults aged ≥65 years (range, 9.3%-10.7%). We found notable racial and ethnic disparities in positivity rates early in the pandemic, whereas COVID-19 positivity was similarly elevated across most racial and ethnic groups by the end of 2020. Positivity rates remained substantially higher among Hispanic patients compared with other racial and ethnic groups throughout the study period. We found similar trends across area-level income and rurality, with disparities early in the pandemic converging over time. PRACTICE IMPLICATIONS: We rapidly developed a distributed data network across Minnesota to monitor the COVID-19 pandemic. Our findings highlight the utility of using EHR data to monitor the current pandemic as well as future public health priorities. Building partnerships with public health agencies can help ensure data streams are flexible and tailored to meet the changing needs of decision makers. SAGE Publications 2022-01-21 /pmc/articles/PMC8900228/ /pubmed/35060411 http://dx.doi.org/10.1177/00333549211061317 Text en © 2022, Association of Schools and Programs of Public Health
spellingShingle Public Health Methodology
Winkelman, Tyler N. A.
Margolis, Karen L.
Waring, Stephen
Bodurtha, Peter J.
Khazanchi, Rohan
Gildemeister, Stefan
Mink, Pamela J.
DeSilva, Malini
Murray, Anne M.
Rai, Nayanjot
Sonier, Julie
Neely, Claire
Johnson, Steven G.
Chamberlain, Alanna M.
Yu, Yue
McFarling, Lynn M.
Dudley, R. Adams
Drawz, Paul E.
Minnesota Electronic Health Record Consortium COVID-19 Project: Informing Pandemic Response Through Statewide Collaboration Using Observational Data
title Minnesota Electronic Health Record Consortium COVID-19 Project: Informing Pandemic Response Through Statewide Collaboration Using Observational Data
title_full Minnesota Electronic Health Record Consortium COVID-19 Project: Informing Pandemic Response Through Statewide Collaboration Using Observational Data
title_fullStr Minnesota Electronic Health Record Consortium COVID-19 Project: Informing Pandemic Response Through Statewide Collaboration Using Observational Data
title_full_unstemmed Minnesota Electronic Health Record Consortium COVID-19 Project: Informing Pandemic Response Through Statewide Collaboration Using Observational Data
title_short Minnesota Electronic Health Record Consortium COVID-19 Project: Informing Pandemic Response Through Statewide Collaboration Using Observational Data
title_sort minnesota electronic health record consortium covid-19 project: informing pandemic response through statewide collaboration using observational data
topic Public Health Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900228/
https://www.ncbi.nlm.nih.gov/pubmed/35060411
http://dx.doi.org/10.1177/00333549211061317
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