Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis

Letizia Lo Presti; Mario Testa; Giulio Maggiore; Vittoria Marino

doi:10.1186/s12913-022-07828-3

Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis

BMC Health Serv Res. 2022 Apr 19;22(1):520. doi: 10.1186/s12913-022-07828-3.

Authors

Letizia Lo Presti¹, Mario Testa², Giulio Maggiore³, Vittoria Marino⁴

Affiliations

¹ Department of Law and Economics, University of Rome "Unitelma Sapienza", Rome, Italy. letizia.lopresti@unitelmasapienza.it.
² Department of Management and Innovation Systems, University of Salerno, Fisciano, SA, Italy.
³ Department of Law and Economics, University of Rome "Unitelma Sapienza", Rome, Italy.
⁴ Department of Law, Economics, Management and Quantitative Methods, University of Sannio, Benevento, Italy.

Abstract

Background: The recent COVID-19 pandemic and the shortage of general practitioners has determined a strong pressure on the Italian health system. This critical issue highlighted the fundamental support of e-health services not only to lighten the workload of doctors, but also to offer patients a health service tailored to real needs. Therefore, the digital engagement platforms represent a valid aid, as they reconcile the efficiency needs of the healthcare system with the benefits for the patients involved. In this perspective, little is known about the main factors associated with use of telemonitoring platforms and their effectiveness. This paper investigates the critical success factors of telemonitoring platforms during COVID-19 in order to understand the mechanisms underlying patient participation with the health engagement platforms.

Methods: An exploratory factor analysis was used to explain the main dimensions of patient participation in the COVID-19 telemonitoring. A sample of 119 patients with a suspected or confirmed infection was used in the investigation. Moreover, an analysis of variance was calculated to identify the differences between three types of patients (infected, uninfected, with suspected infection) and verify the effectiveness of the platform.

Main findings: There are six main factors underlying the use of the COVID-19 telemonitoring platform. "Self-Health Engagement" emerges as a novel factor. Moreover, compared to other platforms, cognitive engagement is a crucial trigger for effective telemonitoring.

Discussion: By identifying the main triggers involved in the use of health engagement platforms, we can improve the satisfaction of telemonitoring services for appropriate health-crisis management. Furthermore, the COVID-19 telemonitoring platform appears to improve health management for both patients and health care providers as it provides the patient with the necessary tools for Self-Health Management (SHM), as well as helping to enrich the literature on health care.

Conclusion: A new construct emerges in the study of digital telemonitoring platforms: "health self-engagement", that is, an engagement based on self-care that demonstrates the decisive role assumed by both digital technology and patient participation in self-management.

Keywords: COVID-19; Cognitive engagement; Health digital platform; Health engagement platform; Satisfaction; Self-health engagement; Telemonitoring.

MeSH terms

COVID-19* / epidemiology
Factor Analysis, Statistical
Humans
Pandemics
Patient Participation / methods
Telemedicine* / methods