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Published on: April 19, 2019
Impact of a High-Risk, Ambulatory COVID-19 Remote Patient Monitoring Program on Utilization, Cost, and Mortality
Tufia C Haddad1, Jordan D Coffey2, Yihong Deng3
1Center for Digital Health, Mayo Clinic, Rochester, MN, USA; Department of Oncology, Mayo Clinic, Rochester, MN, USA.
Insights
High-risk patients with COVID-19 engaged in remote patient monitoring (RPM) showed reduced hospitalizations, ICU admissions, mortality, and costs. This demonstrates RPM
Area of Science:
- Health Informatics
- Remote Patient Monitoring
- COVID-19 Management
Background:
- High-risk patients with COVID-19 require intensive monitoring to mitigate severe outcomes.
- Remote patient monitoring (RPM) offers a scalable solution for continuous patient oversight.
- Evaluating the impact of RPM on care utilization and outcomes in COVID-19 patients is crucial.
Purpose of the Study:
- To assess the effectiveness of a COVID-19 remote patient monitoring (RPM) program.
- To compare care utilization, healthcare costs, and mortality rates between engaged and non-engaged RPM patients.
- To determine the impact of RPM engagement on clinical outcomes for high-risk COVID-19 patients.
Main Methods:
- Retrospective analysis of high-risk COVID-19 patients enrolled in an RPM program (March 2020-October 2021).
- Propensity score matching created cohorts of RPM-engaged (≥1 interaction) and non-engaged patients.
- Data on care utilization, mortality, and costs were extracted from electronic health records and death certificates.
Main Results:
- RPM-engaged patients (n=1128) demonstrated significantly lower 30-day all-cause hospitalization (13.7% vs 18.0%) and prolonged hospitalization (3.5% vs 6.7%) rates compared to non-engaged patients.
- Intensive care unit admissions (2.3% vs 4.2%) and mortality (0.5% vs 1.7%) were significantly reduced in the RPM-engaged group.
- Mean cost of care was substantially lower for RPM-engaged patients ($2306.33 USD vs $3565.97 USD).
Conclusions:
- Engagement in a COVID-19 RPM program significantly lowers hospitalization, ICU admission, mortality, and healthcare costs for high-risk individuals.
- RPM facilitates improved patient outcomes and potentially enhances hospital bed availability.
- These findings support the widespread adoption of RPM for managing high-risk COVID-19 patients.
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.
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