Artificial Intelligence-assisted Primary Care for Influenza Vaccination Among Chronic Patients in China (AIPC-Flu)

The goal of this clinical trial is to evaluate whether an AI-assisted primary care intervention can increase influenza vaccination uptake among patients with chronic diseases and to assess the cost-effectiveness and potential for implementing the intervention in routine primary care. The main questions it aims to answer are: 1. Does the AI-assisted primary care intervention increase influenza risk perception, influenza vaccine literacy, vaccine confidence, intention to receive influenza vaccination, and influenza vaccination uptake among patients with chronic diseases? 2. Is the AI-assisted primary care intervention cost-effective compared with conventional health education? 3. Is the AI-assisted primary care intervention acceptable, feasible, and potentially sustainable for influenza vaccination promotion? Researchers will compare patients with chronic diseases who receive the AI-assisted primary care intervention with those who do not receive it to determine whether the intervention improves patients' literacy, confidence, intention, and uptake of influenza vaccination. Participants will: 1. Be recruited and randomly assigned to the intervention group or control group. Participants in the intervention group will have access to an AI assistant for influenza vaccine-related information and will receive an influenza vaccination recommendation from primary care physicians, while participants in the control group will receive routine health education. 2. Complete a survey questionnaire assessing patients' influenza risk perception, influenza vaccine literacy, vaccine confidence, and intention to receive influenza vaccination. 3. Have their influenza vaccination uptake assessed at the end of the trial.