Your browser doesn't support javascript.
loading
Montrer: 20 | 50 | 100
Résultats 1 - 1 de 1
Filtrer
Plus de filtres










Base de données
Gamme d'année
1.
BMC Health Serv Res ; 24(1): 747, 2024 Jun 18.
Article de Anglais | MEDLINE | ID: mdl-38890619

RÉSUMÉ

BACKGROUND: The escalating prevalence of diabetes, with its multifaceted complications, poses a pressing challenge for healthcare systems globally. In response, the advent of continuous glucose monitoring (CGM) systems, offering technological solutions for daily diabetes management, presents significant opportunities. However, the widespread adoption faces several barriers, linked both to the technological configuration of the devices and to the psychological dimension of patients. Therefore, this study aims to apply and test a theoretical model that investigates the antecedents of the intention to use Continuous Glucose Monitoring systems. METHODS: The research model was built to unveil the impacts of psychological factors, functional components and rational constructs derived from the Technology Acceptance Model (TAM) on CGM systems sustained adoption. To ensure the comparability of results, we have collected data from people who had used Dexcom ONE Dexcom (San Diego, CA) for the first time for at least one month. Employing Structural Equation Modelling (SEM) techniques, the hypothesized relationships among constructs were assessed. RESULTS: The analyses confirmed the positive correlation of rational factors to the Intention to Use. Subjective Norm, intended as the physicians' influence, is positively correlated with the Perceived Usefulness. Trend Arrows, albeit being negatively correlated with Perceived Usefulness, have a positive correlation on Perceived Ease Of Use, reinforcing its mediating effect towards Perceived Usefulness. Among psychological factors, Trust in the CGM technology positively correlates with Intention to Use. Health Literacy is negatively correlated to the Intention to Use. CONCLUSIONS: These findings contribute to theoretical and managerial understanding, providing recommendations to enhance the adoption of CGM systems like Dexcom ONE.


Sujet(s)
Autosurveillance glycémique , Humains , Autosurveillance glycémique/psychologie , Italie , Femelle , Mâle , Adulte , Adulte d'âge moyen , Intention , Diabète de type 1/psychologie , Diabète de type 1/sang , Glycémie/analyse , Sujet âgé , Acceptation des soins par les patients/psychologie , Acceptation des soins par les patients/statistiques et données numériques ,
SÉLECTION CITATIONS
DÉTAIL DE RECHERCHE