Journal article
Implementation of large-scale laboratory-based detection of COVID-19 in the Veterans Health Administration, March 2020 – February 2021
Diagnostic microbiology and infectious disease, Vol.102(3), pp.115617-115617
03/2022
DOI: 10.1016/j.diagmicrobio.2021.115617
PMCID: PMC8665666
PMID: 35007825
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presented numerous operational challenges to healthcare delivery networks responsible for implementing large scale detection of Coronavirus Disease 2019 (COVID-19), the infection caused by SARS-CoV-2. We describe testing performance, review data quality metrics, and summarize experiences during the scale up of laboratory-based detection of COVID-19 in the Veterans Health Administration, the largest healthcare system in the United States. During March 2020 to February 2021, we observed rapid increase in testing volume, decreases in test turnaround time, improvements in testing of hospitalized persons, changes in test positivity, and varying utilization of different tests. Though performance metrics improved over time, surges challenged testing capacity and data quality remained suboptimal. Future planning efforts should focus on fortifying supply chains for consumables and equipment repair, optimizing distribution of testing workload across laboratories, and improving informatics to accurately monitor operations and intent for testing during a public health emergency.
Details
- Title: Subtitle
- Implementation of large-scale laboratory-based detection of COVID-19 in the Veterans Health Administration, March 2020 – February 2021
- Creators
- Aditya Sharma - University of VirginiaGina Oda - US Department of Veterans Affairs, Public Health Surveillance and Research, Palo Alto, CA, USAMichael Icardi - University of Iowa, PathologyLarry Mole - US Department of Veterans Affairs, Population Health Services, Washington, DC, USAMark Holodniy - US Department of Veterans Affairs, Public Health Surveillance and Research, Palo Alto, CA, USA
- Resource Type
- Journal article
- Publication Details
- Diagnostic microbiology and infectious disease, Vol.102(3), pp.115617-115617
- DOI
- 10.1016/j.diagmicrobio.2021.115617
- PMID
- 35007825
- PMCID
- PMC8665666
- NLM abbreviation
- Diagn Microbiol Infect Dis
- ISSN
- 0732-8893
- eISSN
- 1879-0070
- Publisher
- Elsevier Inc
- Language
- English
- Date published
- 03/2022
- Academic Unit
- Pathology
- Record Identifier
- 9984215344902771
Metrics
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