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The study sought to propose and validate a theoretical framework to investigate the continuous use of smart healthcare services.\n            <jats:bold>Methods<\/jats:bold>\n            : The research model integrates commitment-trust theory with the information system success model, empirically validated through partial least squares structural equation modeling. Data were collected via a Chinese online survey platform, targeting 355 active users of smart health services.\n            <jats:bold>Results<\/jats:bold>\n            : The proposed model explained 61.4% of the variance in continuous usage intention. Affective commitment, trust, and satisfaction significantly affected continuous usage intention (\n            <jats:italic>p\u2019s<\/jats:italic>\n            &lt; 0.01). Trust and satisfaction were found to significantly influence affective commitment (\n            <jats:italic>p\u2019s<\/jats:italic>\n            &lt; 0.001). Satisfaction and perceived value were found to be significant determinants of trust (\n            <jats:italic>p\u2019s<\/jats:italic>\n            &lt; 0.05). Perceived value also significantly influenced satisfaction (\n            <jats:italic>p<\/jats:italic>\n            &lt; 0.001). The relationships were also moderated by age, gender, and AI literacy.\n            <jats:bold>Conclusion<\/jats:bold>\n            : This study represents rare attempts to explore continuous usage intention of smart healthcare services from the commitment-trust theory perspective. Practitioners should prioritize trust-building measures (e.g., transparent data usage policies) and personalized features (e.g., adaptive health recommendations) to enhance long-term engagement. Demographic characteristics should also be considered when designing such services.\n          <\/jats:p>","DOI":"10.1177\/14604582251381156","type":"journal-article","created":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T07:09:12Z","timestamp":1757920152000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Determinants of continuous use intention of smart healthcare services: Evidence from a commitment-trust theory perspective"],"prefix":"10.1177","volume":"31","author":[{"given":"Kaifeng","family":"Liu","sequence":"first","affiliation":[{"name":"Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China"},{"name":"School of Education, Institute of Applied Psychology, Tianjin University, Tianjin, China"}]},{"given":"Qinyue","family":"Li","sequence":"additional","affiliation":[{"name":"School of Education, Institute of Applied Psychology, Tianjin University, 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