Background Big data-enabled healthcare provides a pivotal underpinning for the precision and efficiency of public health governance, with the effective sharing of personal public health data serving as its core prerequisite. This study aims to explore the influencing factors and action mechanisms of individuals’ willingness to share personal public health data in the context of big data-enabled healthcare, thereby providing empirical evidence for breaking the predicament of data sharing and improving the public health data governance system. Methods A multi-stage convenience sampling method was adopted in this study. Questionnaires were distributed to populations nationwide who have used or understood big data-enabled healthcare platforms, and a total of 616 valid samples were recovered. On the basis of ensuring the questionnaire met the criteria of reliability and validity, correlation analysis and structural equation modeling (SEM) were employed to test the path relationships among variables. Results
📖 افتح في inklap 🔗 DOI 📮 اطلب بحثاً