Abstracts
Résumé
Face à la faible utilisation des applications de santé publique pendant la pandémie de COVID-19 et à la nouvelle normalité nécessitant dorénavant de cohabiter avec ce virus, il est crucial d’explorer les facteurs favorisant leur adoption. Cet article examine les déterminants de l’intention d’utilisation future de ces applications de santé publique concernant la COVID-19 en investiguant l’existence de différents groupes au sein de la population. Grâce à une modélisation par classes latentes (N=310), deux groupes ont été identifiés: le premier valorisant principalement l’utilité perçue de l’application, tandis que la pression sociale perçue est le facteur prédominant pour le second. Les résultats permettent de formuler des recommandations managériales et de santé publique spécifiques à chacun des groupes identifiés dans cette recherche.
Mots-clés :
- Intention d’utilisation,
- application mobile,
- santé publique,
- hétérogénéité,
- COVID-19,
- modèle de classes latentes
Abstract
Given the low usage of public health apps during the COVID-19 pandemic and the new normal requiring coexistence with the virus, it is crucial to explore the factors likely to encourage their adoption. This article examines the determinants of future intention to use public health mobile applications associated to COVID-19 by investigating the existence of different population segments. Using latent class modeling (N=310), two groups were identified: one primarily valuing the perceived utility of the app, while perceived social pressure is the predominant factor for the other group. The findings led to the formulation of managerial and public health recommendations tailored to each group identified in this research.
Keywords:
- Intention of use,
- mobile application,
- public health,
- heterogeneity,
- COVID-19,
- latent class model
Resumen
Dado el bajo uso de las aplicaciones de salud pública durante la pandemia de COVID-19 y la nueva normalidad que requiere convivir con el virus, es fundamental explorar los factores que favorecen su adopción. Este artículo examina los determinantes de la intención de uso futuro de las aplicaciones de salud pública relacionadas con COVID-19, investigando la existencia de distintos segmentos dentro de la población. A través de un modelo de clases latentes (N=310), se identificaron dos grupos: uno que valora principalmente la utilidad percibida de la aplicación, mientras que para el otro grupo predomina la presión social percibida. Los resultados permiten formular recomendaciones específicas en gestión y salud pública, adaptadas a cada grupo identificado en esta investigación.
Palabras clave:
- Intención de uso,
- aplicación móvil,
- salud pública,
- heterogeneidad,
- COVID-19,
- modelo de clase latente
Appendices
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