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

Author:

Lo Presti LetiziaORCID,Testa MarioORCID,Maggiore GiulioORCID,Marino VittoriaORCID

Abstract

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.

Publisher

Springer Science and Business Media LLC

Subject

Health Policy

Reference75 articles.

1. OECD. Health in the 21st Century: Putting Data to Work for Stronger Health Systems. OECD Health Policy Studies. Paris: OECD Publishing; 2019. https://www.oecd-ilibrary.org/sites/e3b23f8e-en/index.html?itemId=/content/publication/e3b23f8e-en. Accessed 21 July 2021.

2. Peek N, Sujan M, Scott P. Digital health and care in pandemic times: impact of COVID-19. BMJ Health & Care Informatics. 2020. https://doi.org/10.1136/bmjhci-2020-100166.

3. ANSA. https://www.ansa.it/lombardia/notizie/2021/06/30/cecchetti-grave-carenza-di-medici-di-base-in-lombardia_23137562-2f13-4911-8c11-5fe5b7a4ff21.html. Accessed 5 July 2021.

4. Forbat L, Cayless S, Knighting K, Cornwell J, Kearney N. Engaging patients in health care: an empirical study of the role of engagement on attitudes and action. Patient Educ Couns. 2009;74(1):84–90.

5. Domecq JP, Prutsky G, Elraiyah T, Wang Z, Nabhan M, Shippee N, et al. Patient engagement in research: a systematic review. BMC Health Serv Res. 2014;14:89.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3