Understanding intentions to use a multi-component supported self-management platform for long COVID-19: a mixed-methods evaluation in Hong Kong.

ABSTRACT: A culturally appropriate, multi-component self-management platform was developed to facilitate Long COVID-19 recovery in Hong Kong, comprising a smartphone application, a website, and a customer relationship management (CRM)-based messaging system. Using a mixed-methods design, we evaluated users' intentions to utilise the platform through the behavioural attributes of the Meta-UTAUT (Meta-analysis-based modified Unified Theory of Acceptance and Use of Technology) framework. Structured interviews were conducted to explore themes influencing users' intentions to use the platform, focusing on different attributes. Themes from the interviews were summarised using directed content and thematic analyses. These results informed the design of a cross-sectional survey quantifying the influence of

SUBMITTER: Ho L 

PROVIDER: S-EPMC12062295 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature