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Impact of a High-Risk, Ambulatory COVID-19 Remote Patient Monitoring Program on Utilization, Cost, and Mortality
OBJECTIVE: To evaluate care utilization, cost, and mortality among high-risk patients enrolled in a coronavirus disease 2019 (COVID-19) remote patient monitoring (RPM) program. METHODS: This retrospective analysis included patients diagnosed with COVID-19 at risk for severe disease who enrolled in t...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mayo Foundation for Medical Education and Research. Published by Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444887/ https://www.ncbi.nlm.nih.gov/pubmed/36464463 http://dx.doi.org/10.1016/j.mayocp.2022.08.015 |
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author | Haddad, Tufia C. Coffey, Jordan D. Deng, Yihong Glasgow, Amy E. Christopherson, Laura A. Sangaralingham, Lindsey R. Bell, Sarah J. Shah, Vishal P. Pritchett, Joshua C. Orenstein, Robert Speicher, Leigh L. Maniaci, Michael J. Ganesh, Ravindra Borah, Bijan J. |
author_facet | Haddad, Tufia C. Coffey, Jordan D. Deng, Yihong Glasgow, Amy E. Christopherson, Laura A. Sangaralingham, Lindsey R. Bell, Sarah J. Shah, Vishal P. Pritchett, Joshua C. Orenstein, Robert Speicher, Leigh L. Maniaci, Michael J. Ganesh, Ravindra Borah, Bijan J. |
author_sort | Haddad, Tufia C. |
collection | PubMed |
description | OBJECTIVE: To evaluate care utilization, cost, and mortality among high-risk patients enrolled in a coronavirus disease 2019 (COVID-19) remote patient monitoring (RPM) program. METHODS: This retrospective analysis included patients diagnosed with COVID-19 at risk for severe disease who enrolled in the RPM program between March 2020 and October 2021. The program included in-home technology for symptom and physiologic data monitoring with centralized care management. Propensity score matching established matched cohorts of RPM-engaged (defined as ≥1 RPM technology interactions) and non-engaged patients using a logistic regression model of 59 baseline characteristics. Billing codes and the electronic death certificate system were used for data abstraction from the electronic health record and reporting of care utilization and mortality endpoints. RESULTS: Among 5796 RPM-enrolled patients, 80.0% engaged with the technology. Following matching, 1128 pairs of RPM-engaged and non-engaged patients comprised the analysis cohorts. Mean patient age was 63.3 years, 50.9% of patients were female, and 81.9% were non-Hispanic White. Patients who were RPM-engaged experienced significantly lower rates of 30-day, all-cause hospitalization (13.7% vs 18.0%, P=.01), prolonged hospitalization (3.5% vs 6.7%, P=.001), intensive care unit admission (2.3% vs 4.2%, P=.01), and mortality (0.5% vs 1.7%; odds ratio, 0.31; 95% CI, 0.12 to 0.78; P=.01), as well as cost of care ($2306.33 USD vs $3565.97 USD, P=0.04), than those enrolled in RPM but non-engaged. CONCLUSION: High-risk COVID-19 patients enrolled and engaged in an RPM program experienced lower rates of hospitalization, intensive care unit admission, mortality, and cost than those enrolled and non-engaged. These findings translate to improved hospital bed access and patient outcomes. |
format | Online Article Text |
id | pubmed-9444887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94448872022-09-06 Impact of a High-Risk, Ambulatory COVID-19 Remote Patient Monitoring Program on Utilization, Cost, and Mortality Haddad, Tufia C. Coffey, Jordan D. Deng, Yihong Glasgow, Amy E. Christopherson, Laura A. Sangaralingham, Lindsey R. Bell, Sarah J. Shah, Vishal P. Pritchett, Joshua C. Orenstein, Robert Speicher, Leigh L. Maniaci, Michael J. Ganesh, Ravindra Borah, Bijan J. Mayo Clin Proc Original Article OBJECTIVE: To evaluate care utilization, cost, and mortality among high-risk patients enrolled in a coronavirus disease 2019 (COVID-19) remote patient monitoring (RPM) program. METHODS: This retrospective analysis included patients diagnosed with COVID-19 at risk for severe disease who enrolled in the RPM program between March 2020 and October 2021. The program included in-home technology for symptom and physiologic data monitoring with centralized care management. Propensity score matching established matched cohorts of RPM-engaged (defined as ≥1 RPM technology interactions) and non-engaged patients using a logistic regression model of 59 baseline characteristics. Billing codes and the electronic death certificate system were used for data abstraction from the electronic health record and reporting of care utilization and mortality endpoints. RESULTS: Among 5796 RPM-enrolled patients, 80.0% engaged with the technology. Following matching, 1128 pairs of RPM-engaged and non-engaged patients comprised the analysis cohorts. Mean patient age was 63.3 years, 50.9% of patients were female, and 81.9% were non-Hispanic White. Patients who were RPM-engaged experienced significantly lower rates of 30-day, all-cause hospitalization (13.7% vs 18.0%, P=.01), prolonged hospitalization (3.5% vs 6.7%, P=.001), intensive care unit admission (2.3% vs 4.2%, P=.01), and mortality (0.5% vs 1.7%; odds ratio, 0.31; 95% CI, 0.12 to 0.78; P=.01), as well as cost of care ($2306.33 USD vs $3565.97 USD, P=0.04), than those enrolled in RPM but non-engaged. CONCLUSION: High-risk COVID-19 patients enrolled and engaged in an RPM program experienced lower rates of hospitalization, intensive care unit admission, mortality, and cost than those enrolled and non-engaged. These findings translate to improved hospital bed access and patient outcomes. Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. 2022-12 2022-09-06 /pmc/articles/PMC9444887/ /pubmed/36464463 http://dx.doi.org/10.1016/j.mayocp.2022.08.015 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Original Article Haddad, Tufia C. Coffey, Jordan D. Deng, Yihong Glasgow, Amy E. Christopherson, Laura A. Sangaralingham, Lindsey R. Bell, Sarah J. Shah, Vishal P. Pritchett, Joshua C. Orenstein, Robert Speicher, Leigh L. Maniaci, Michael J. Ganesh, Ravindra Borah, Bijan J. Impact of a High-Risk, Ambulatory COVID-19 Remote Patient Monitoring Program on Utilization, Cost, and Mortality |
title | Impact of a High-Risk, Ambulatory COVID-19 Remote Patient Monitoring Program on Utilization, Cost, and Mortality |
title_full | Impact of a High-Risk, Ambulatory COVID-19 Remote Patient Monitoring Program on Utilization, Cost, and Mortality |
title_fullStr | Impact of a High-Risk, Ambulatory COVID-19 Remote Patient Monitoring Program on Utilization, Cost, and Mortality |
title_full_unstemmed | Impact of a High-Risk, Ambulatory COVID-19 Remote Patient Monitoring Program on Utilization, Cost, and Mortality |
title_short | Impact of a High-Risk, Ambulatory COVID-19 Remote Patient Monitoring Program on Utilization, Cost, and Mortality |
title_sort | impact of a high-risk, ambulatory covid-19 remote patient monitoring program on utilization, cost, and mortality |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444887/ https://www.ncbi.nlm.nih.gov/pubmed/36464463 http://dx.doi.org/10.1016/j.mayocp.2022.08.015 |
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