Ontology highlight
ABSTRACT: Background
Most patients infected with SARS-CoV-2 have mild to moderate symptoms manageable at home; however, up to 20% develop severe illness requiring additional support. Primary care practices performing population management can use these tools to remotely assess and manage COVID-19 patients and identify those needing additional medical support before becoming critically ill.Aim
We developed an innovative population management approach for managing COVID-19 patients remotely.Setting
Development, implementation, and evaluation took place in April 2020 within a large urban academic medical center primary care practice.Participants
Our panel consists of 40,000 patients. By April 27, 2020, 305 had tested positive for SARS-CoV-2 by RT-qPCR. Outreach was performed by teams of doctors, nurse practitioners, physician assistants, and nurses.Program description
Our innovation includes an algorithm, an EMR component, and a twice daily population report for managing COVID-19 patients remotely.Program evaluation
Of the 305 patients with COVID-19 in our practice at time of submission, 196 had returned to baseline; 54 were admitted to hospitals, six of these died, and 40 were discharged.Discussion
Our population management strategy helped us optimize at-home care for our COVID-19 patients and enabled us to identify those who require inpatient medical care in a timely fashion.
SUBMITTER: Blazey-Martin D
PROVIDER: S-EPMC7384553 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
Blazey-Martin Deborah D Barnhart Elizabeth E Gillis Joseph J Vazquez Gabriela Andujar GA
Journal of general internal medicine 20200727 10
<h4>Background</h4>Most patients infected with SARS-CoV-2 have mild to moderate symptoms manageable at home; however, up to 20% develop severe illness requiring additional support. Primary care practices performing population management can use these tools to remotely assess and manage COVID-19 patients and identify those needing additional medical support before becoming critically ill.<h4>Aim</h4>We developed an innovative population management approach for managing COVID-19 patients remotely. ...[more]