Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Aug 14:10:1062232.
doi: 10.3389/fcvm.2023.1062232. eCollection 2023.

COVID-19 teleassistance and teleconsultation: a matched case-control study (MIRATO project, Lombardy, Italy)

Affiliations

COVID-19 teleassistance and teleconsultation: a matched case-control study (MIRATO project, Lombardy, Italy)

Palmira Bernocchi et al. Front Cardiovasc Med. .

Abstract

Background: During the COVID-19 pandemic, telemedicine has been recognised as a powerful modality to shorten the length of hospital stay and to free up beds for the sicker patients. Lombardy, and in particular the areas of Bergamo, Brescia, and Milan, was one of the regions in Europe most hit by the COVID-19 pandemic. The primary aim of the MIRATO project was to compare the incidence of severe events (hospital readmissions and mortality) in the first three months after discharge between COVID-19 patients followed by a Home-Based Teleassistance and Teleconsultation (HBTT group) program and those discharged home without Telemedicine support (non-HBTT group).

Methods: The study was designed as a matched case-control study. The non-HBTT patients were matched with the HBTT patients for sex, age, presence of COVID-19 pneumonia and number of comorbidities. After discharge, the HBTT group underwent a telecare nursing and specialist teleconsultation program at home for three months, including monitoring of vital signs and symptoms. Further, in this group we analysed clinical data, patients' satisfaction with the program, and quality of life.

Results: Four hundred twenty-two patients per group were identified for comparison. The median age in both groups was 70 ± 11 years (62% males). One or more comorbidities were present in 86% of the HBTT patients and 89% in the non-HBTT group (p = ns). The total number of severe events was 17 (14 hospitalizations and 3 deaths) in the HBTT group and 40 (26 hospitalizations and 16 deaths) in the non-HBTT group (p = 0.0007). The risk of hospital readmission or death after hospital discharge was significantly lower in HBTT patients (Log-rank Test p = 0.0002). In the HBTT group, during the 3-month follow-up, 5,355 teleassistance contacts (13 ± 4 per patient) were performed. The number of patients with one or more symptoms declined significantly: from 338 (78%) to 183 (45%) (p < 0.00001). Both the physical (ΔPCS12: 5.9 ± 11.4) component and the mental (ΔMCS12: 4.4 ± 12.7) component of SF-12 improved significantly (p < 0.0001). Patient satisfaction with the program was very high in all participants.

Conclusions: Compared to usual care, an HBTT program can reduce severe events (hospital admissions/mortality) at 3-months from discharge and improve symptoms and quality of life.

Clinical trial registration: www.ClinicalTrials.gov, NCT04898179.

Keywords: chronic disease; outcome; rehabilitation; symptoms; teleassistance; teleconsultation; telemedicine; telemonitoring.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Kaplan–Meier survival analysis of time to first combined event (hospital readmission and mortality). Survival difference between groups was evaluated with the log rank test. The solid line represents the control group and dotted line represents the intervention group.
Figure 2
Figure 2
Patient symptoms presentation at the beginning (Pane A) of the HBTT program and at the end of 3 month (Panel B).

References

    1. World Health Organisation. WHO Coronavirus Disease (COVID-19) Dashboard. Available at: https://covid19.who (Last accessed July 2022).
    1. Jnr BA. Use of telemedicine and virtual care for remote treatment in response to COVID-19 pandemic. J Med Syst. (2020) 44(7):132. 10.1007/s10916-020-01596-5 - DOI - PMC - PubMed
    1. Neubeck L, Hansen T, Jaarsma T, Klompstra L, Gallagher R. Delivering healthcare remotely to cardiovascular patients during COVID-19: a rapid review of the evidence. Eur J Cardiovasc Nurs. (2020) 19(6):486–94. 10.1177/1474515120924530 - DOI - PMC - PubMed
    1. Suárez Fernández C, Armario P, Cepeda JM, López Carmona MD, Miramontes González JP, Said-Criado I. Recommendations for the care of patients with cardiovascular disease in health emergency situations: a call to action. Curr Med Res Opin. (2023) 39(6):827–32. 10.1080/03007995.2023.2201100 - DOI - PubMed
    1. Wagle NS, Schueler J, Engler S, Lawley M, Fields S, Kum HC. A systematic review of patient-perceived barriers and facilitators to the adoption and use of remote health technology to manage diabetes and cardiovascular disease among disproportionately affected populations. AMIA Annu Symp Proc. (2023) 2022:1108–17. - PMC - PubMed

Associated data