Remote Patient Monitoring for COVID-19: A Retrospective Study on Health Care Utilization

Research output: Contribution to journalArticlepeer-review


Introduction: Data are limited on the effectiveness of remote patient monitoring (RPM) for acute illnesses, including COVID-19. We conducted a study to determine if enrollment in a COVID-19 RPM program was associated with better outcomes. Methods: From March through September 2020, patients with respiratory symptoms and presumptive COVID-19 were referred to the health system's COVID-19 RPM program. We conducted a retrospective cohort study comparing outcomes for patients enrolled in the RPM (n = 4,435) with those who declined enrollment (n = 2,742). Primary outcomes were emergency room, hospital, and intensive care unit admissions, and death. We used logistic regression to adjust for demographic differences and known risk factors for severe COVID-19. Results: Patients enrolled in the RPM were less likely to have risk factors for severe COVID-19. There was a significant decrease in the odds of death for the group enrolled in the RPM (adjusted odds ratio [OR] = 0.50; 95% confidence interval [CI], 0.30-0.83) and a nonsignificant decrease in the odds of the other primary outcomes. Increased number of interactions with the RPM significantly decreased the odds of hospital admission (OR = 0.92; 95% CI, 0.88-0.95). Conclusions: COVID-19 RPM enrollment was associated with decreased odds of death, and the more patients interacted with the RPM, the less likely they were to require hospital admission. RPM is a promising tool that has the potential to improve patient outcomes for acute illness, but controlled trials are necessary to confirm these findings.

Original languageEnglish (US)
Pages (from-to)1179-1185
Number of pages7
JournalTelemedicine and e-Health
Issue number8
StatePublished - Aug 1 2023

Bibliographical note

Funding Information:
This study was supported by the Department of Family Medicine and Community Health Research Services Hub at the University of Minnesota. This research was supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number UL1TR002494 and by a University of Minnesota Medical School COVID Rapid Response Grant.

Publisher Copyright:
© 2023 Mary Ann Liebert Inc.. All rights reserved.


  • COVID-19
  • delivery of health care
  • remote patient monitoring
  • telemedicine

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural


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