Evidence map›Paper›PMID 35440043›Full record

ArticleBMC health services research2022

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

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Co-Creation in Health 4.0 as a New Solution for a New Era.Healthcare (Basel, Switzerland) · 2023
    Article
  3. Article
  4. Let Us Take It into Our Own Hands: Patient Experience during the COVID-19 Pandemic.International journal of environmental research and public health · 2022
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Letizia Lo PrestiDepartment of Law and Economics, University of Rome "Unitelma Sapienza", Rome, Italy. letizia.lopresti@unitelmasapienza.it.ORCID http://orcid.org/0000-0002-6077-8434
Mario TestaDepartment of Management and Innovation Systems, University of Salerno, Fisciano, SA, Italy.ORCID http://orcid.org/0000-0003-3486-9815
Giulio MaggioreDepartment of Law and Economics, University of Rome "Unitelma Sapienza", Rome, Italy.ORCID http://orcid.org/0000-0002-4657-0362
Vittoria MarinoDepartment of Law, Economics, Management and Quantitative Methods, University of Sannio, Benevento, Italy.ORCID http://orcid.org/0000-0002-3799-8770

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsAn 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

findingsThere 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.

conclusionA 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.

Indexed as

COVID-19TelemedicineFactor Analysis, StatisticalHumansPandemicsPatient ParticipationCognitive engagementCOVID-19Health digital platformHealth engagement platformSatisfactionSelf-health engagementTelemonitoring

Identifiers

PMID35440043
PMCPMC9016691

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.