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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.
  • Winkelman TNA; Division of General Internal Medicine, Department of Medicine, Hennepin Healthcare, Minneapolis, MN, USA.
  • Margolis KL; Health, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN, USA.
  • Waring S; HealthPartners Institute, Minneapolis, MN, USA.
  • Bodurtha PJ; Essentia Health, Essentia Institute of Health, Duluth, MN, USA.
  • Khazanchi R; Health, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN, USA.
  • Gildemeister S; Health, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN, USA.
  • Mink PJ; School of Public Health, University of Minnesota, Minneapolis, MN, USA.
  • DeSilva M; College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA.
  • Murray AM; Minnesota Department of Health, Saint Paul, MN, USA.
  • Rai N; Minnesota Department of Health, Saint Paul, MN, USA.
  • Sonier J; HealthPartners Institute, Minneapolis, MN, USA.
  • Neely C; Division of Geriatrics, Department of Internal Medicine, Hennepin Healthcare, Minneapolis, MN, USA.
  • Johnson SG; Berman Center for Outcomes and Clinical Research, Hennepin Healthcare Research Institute, Minneapolis, MN, USA.
  • Chamberlain AM; Division of Nephrology and Hypertension, University of Minnesota Medical School, Minneapolis, MN, USA.
  • Yu Y; MN Community Measurement, Minneapolis, MN, USA.
  • McFarling LM; Institute for Clinical Systems Improvement, Minneapolis, MN, USA.
  • Dudley RA; Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA.
  • Drawz PE; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Public Health Rep ; 137(2): 263-271, 2022.
Article in English | MEDLINE | ID: covidwho-1643028
ABSTRACT

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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Data Collection / Program Development / Electronic Health Records / COVID-19 Testing / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: Public Health Rep Year: 2022 Document Type: Article Affiliation country: 00333549211061317

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Data Collection / Program Development / Electronic Health Records / COVID-19 Testing / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: Public Health Rep Year: 2022 Document Type: Article Affiliation country: 00333549211061317