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iCardioMonitor Digital Monitoring System for People with Heart Failure: Development and Evaluation of Its Accessibility and Usability

Authors :
Set Perez-Gonzalez
Maria del Mar Fernandez-Alvarez
Noemi Gutierrez-Iglesias
Beatriz Díaz-Molina
Vanesa Alonso-Fernandez
Ruben Martin-Payo
Source :
Healthcare, Vol 12, Iss 19, p 1986 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Background/Objectives: The use of eHealth as a monitoring system in people with heart failure (HF) has been shown to be effective in promoting self-care and reducing re-admissions and mortality. The present study develops and evaluates the accessibility and usability of the web app iCardioMonitor HF monitoring system. Methods: This study consisted of two stages. The first stage (co-design) comprised two phases: (1) analysis of the scientific literature and expert opinions and (2) co-design of the iCardioMonitor (web app plus a knowledge-base algorithm) and definition of alert criteria. The second stage (cross-sectional descriptive study) analyzed system accessibility (% of people using the iCardioMonitor and % of parameters recorded) and usability, employing the Spanish version of the System Usability Scale for the Assessment of Electronic Tools. Results: The iCardioMonitor was configured by a web app and an algorithm with the capacity to detect decompensated HF automatically. A total of 45 patients with an average age of 55.8 years (standard deviation [SD] = 10.582) and an average time since diagnosis of 7.1 years (SD = 7.471) participated in the second stage. The percentage of iCardioMonitor use was 83.2%. The average usability score was 77.2 points (SD = 21.828), higher in women than men (89.2; SD = 1.443–76.0; SD = 1.443) (p = 0.004). The usability score was higher the shorter the time since diagnosis (r = 0.402; p = 0.025) and the higher the number of responses (r = 0.377; p = 0.031). Conclusions: The results obtained show that iCardioMonitor is a tool accepted by patients and has obtained a remarkable score on the usability scale. iCardioMonitor was configured by a web app and an algorithm with the capacity to detect decompensated HF automatically.

Details

Language :
English
ISSN :
22279032
Volume :
12
Issue :
19
Database :
Directory of Open Access Journals
Journal :
Healthcare
Publication Type :
Academic Journal
Accession number :
edsdoj.529727ae7ca4f9d96dded03c03d283f
Document Type :
article
Full Text :
https://doi.org/10.3390/healthcare12191986