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Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis
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 hea...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016691/ https://www.ncbi.nlm.nih.gov/pubmed/35440043 http://dx.doi.org/10.1186/s12913-022-07828-3 |
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author | Lo Presti, Letizia Testa, Mario Maggiore, Giulio Marino, Vittoria |
author_facet | Lo Presti, Letizia Testa, Mario Maggiore, Giulio Marino, Vittoria |
author_sort | Lo Presti, Letizia |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-07828-3. |
format | Online Article Text |
id | pubmed-9016691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90166912022-04-19 Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis Lo Presti, Letizia Testa, Mario Maggiore, Giulio Marino, Vittoria BMC Health Serv Res Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-07828-3. BioMed Central 2022-04-19 /pmc/articles/PMC9016691/ /pubmed/35440043 http://dx.doi.org/10.1186/s12913-022-07828-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lo Presti, Letizia Testa, Mario Maggiore, Giulio Marino, Vittoria Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis |
title | Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis |
title_full | Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis |
title_fullStr | Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis |
title_full_unstemmed | Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis |
title_short | Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis |
title_sort | key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016691/ https://www.ncbi.nlm.nih.gov/pubmed/35440043 http://dx.doi.org/10.1186/s12913-022-07828-3 |
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