Predictors of contact tracing app adoption: Integrating the UTAUT, HBM and contextual factors

Contact tracing apps (CTAs) have been introduced as a means to identify and isolate possible cases infected with COVID-19. Since the adoption rate determines effectiveness of CTAs, it is important examine what factors contribute higher CTA uptake. This study aimed use an integrative approach explain early adoption, whereby three perspectives are distinguished: technology-related (derived from Unified Theory Acceptance Use Technology [UTAUT]), health-related Health Belief Model [HBM]), context-related. A survey was administered among representative sample Dutch population (N = 1865). hierarchical logistic regression analysis performed in which models were compared. Results showed that model including all (i.e., UTAUT, HBM, context-related variables) resulted better fit than any other models. All UTAUT variables associated expected directions. Regarding self-efficacy, perceived barriers benefits Several variables, such fear, adoption. Our findings demonstrate extending preventive health-behavioral contextual understanding