| Literature DB >> 34841422 |
Dee Ford1, Emily Warr2, Cheryl Hamill2, Wenjun He3, Ekaterina Pekar4, Jillian Harvey5, Ragan DuBose-Morris2, Kimberly McGhee3,6, Kathryn King7, Leslie Lenert8.
Abstract
In response to the emerging COVID-19 public health emergency in March 2020, the Medical University of South Carolina rapidly implemented an analytics-enhanced remote patient monitoring (RPM) program with state-wide reach for SARS-CoV-2-positive patients. Patient-reported data and other analytics were used to prioritize the sickest patients for contact by RPM nurses, enabling a small cadre of RPM nurses, with the support of ambulatory providers and urgent care video visits, to oversee 1234 patients, many of whom were older, from underserved populations, or at high risk of serious complications. Care was escalated based on prespecified criteria to primary care provider or emergency department visit, with 89% of moderate- to high-risk patients treated solely at home. The RPM nurses facilitated the continuity of care during escalation or de-escalation of care, provided much-needed emotional support to patients quarantining at home and helped find medical homes for patients with tenuous ties to health care. © Dee Ford et al., 2021; Published by Mary Ann Liebert, Inc.Entities:
Keywords: COVID-19; remote patient monitoring; telehealth; telemedicine
Year: 2021 PMID: 34841422 PMCID: PMC8621622 DOI: 10.1089/tmr.2021.0020
Source DB: PubMed Journal: Telemed Rep ISSN: 2692-4366
COVID-19 Remote Patient Monitoring Patient Daily Symptom Survey
| No. | Question | Options |
|---|---|---|
| 1 | Are you today bothered by shortness of breath when sitting still? | Yes/No |
| 2 | Are you today bothered by shortness of breath when walking around the house/ward? | Yes/No |
| 3 | Are you today bothered by shortness of breath when washing/dressing? | Yes/No |
| 4 | Are you today bothered by shortness of breath when walking in the street? | Yes/No |
| 5 | Are you today bothered by shortness of breath when taking a shower? | Yes/No |
| 6 | Are you today bothered by shortness of breath when walking the stairs? | Yes/No |
| 7 | Rate the severity of your shortness of breath at the moment? | Not at all short of breath |
| 8 | Do you cough? | No |
| 8a | Do you cough up sputum? (amount of sputum by 24 h) | No |
| 8b | Do you cough up the sputum with ease? | Not bothered by sputum |
| 8c | What is the color of the sputum? | Did not pay attention/no sputum |
| 9 | How fit do you feel at the moment? | Very fit |
| 10 | Express your general state of health at the moment | Excellent |
| 11 | Please describe any other important symptoms | |
| 12 | Oxygen saturation | |
| 13 | Temperature |
Fig. 1.Patient-centered model for COVID-19 RPM. EHR, electronic health record; RPM, remote patient monitoring.
Fig. 2.Patient triage intake form in Epic™ (Epic Systems Corporation), the EHR currently used at the MUSC. MUSC, Medical University of South Carolina.
Fig. 3.COVID-19 RPM workflow. ED, emergency department; PCP, primary care provider; RN, registered nurse.
Characteristics and Referral Data for 1234 Patients Enrolled in COVID-19 Remote Patient Monitoring Program
| Patient characteristics | n (%) |
|---|---|
| Age, mean (SD) | 55.3 (17.2) |
| Gender | |
| Female | 789 (63.9) |
| Male | 436 (35.3) |
| Unknown | 9 (0.7) |
| Race | |
| American Indian of Alaska Native | 4 (0.3) |
| Asian | 6 (0.5) |
| Black or African American | 582 (47.2) |
| Hispanic or Latino | 22 (1.8) |
| White | 524 (42.6) |
| Two or more | 1 (0.1) |
| Other | 30 (2.4) |
| Unknown/refused | 65 (5.3) |
| Uninsured | 224 (18.2) |
| No PCP | 301 (24.4) |
| Active patient portal account | 917 (74.3) |
| Risk[ | |
| Low risk | 312 (25.4) |
| Medium risk | 477 (38.8) |
| High risk | 439 (35.8) |
| Referral and re-enrollment | |
| Referral by RPM to PCP visit | 445 (36.1) |
| Referral by RPM to ED | 124 (10.0) |
| Re-enrolled with RPM after discharge | 7 (0.6) |
The denominator used to calculate risk percentages was 1228.
ED, emergency department; PCP, primary care provider; RPM, remote patient monitoring; SD, standard deviation.
Fig. 4.Number of home monitoring encounters by month.
Fig. 5.Patient satisfaction.