Determinants of user-reported data use for a data-driven public sector: Validating an adaptation of the UTAUT model with professionals and managers in healthcare

Citizens’-reported data is crucial for improving service quality and innovation across various sectors, including healthcare. This construct-validating study focuses on understanding the determinants that prevent or encourage healthcare professionals and managers to use user-reported data. To explore these determinants, we adopted the Unified Theory of Acceptance and Use of Technology (UTAUT) model, which has been widely applied in various fields. This research is ongoing. Its first phase encompasses a qualitative study involving 13 semi-structured interviews with healthcare professionals and managers in Italy and Wales. The results from this phase will inform a subsequent quantitative survey involving a larger sample. Preliminary findings indicate that all the hypothesized UTAUT factors can influence the utilization of healthcare user-reported data. Participants confirmed the importance of performance expectancy, effort expectancy, social influence, facilitating conditions, habit, perceived security, trust and anxiety as the main determinants. Future explorations will provide a comprehensive view of these factors in diverse user-reported data scenarios and digital platforms.