Factors Influencing Community Health Service Utilization in Shanghai, China: A Study Based on the Andersen Behavioral Model and Smart Health Stations

<b>Aim/Background</b> Improving resource utilization efficiency during the promotion and construction process, thereby driving an overall enhancement in the utilization level of community health services (CHSs), represents a pressing practical challenge that requires urgent resolution. This study aims to investigate the factors influencing CHS utilization in Shanghai, China, with a focus on the role of smart health stations (SHS). <b>Methods</b> By innovatively integrating the Andersen Behavioral Model with the Attribution Theory, we constructed a two-stage mathematical model to examine the impact of health policies and residents' perceptions on CHS utilization. A mixed-methods approach was employed, including literature review, questionnaire survey, and expert consultation. <b>Results</b> The results revealed that SHS usage played a significant intermediary role between CHS utilization and satisfaction (<i>p</i> < 0.05). Age (<i>p</i> < 0.001), income (<i>p</i> < 0.001), health beliefs (<i>p</i> < 0.01), and chronic disease status (<i>p</i> < 0.001) were identified as key influencing factors. Residents' attributions towards SHS tended to be self-serving, indicating a need for enhanced publicity and trust building (<i>p</i> < 0.05). <b>Conclusion</b> This study provides theoretical and practical insights implications for improving CHS utilization through the optimization of SHS. Policy recommendations are proposed to promote the integration of SHS and CHS, focusing on government-led planning, resource integration, digital transformation, and targeted development strategies.