| Summary: | Objective To evaluate the application effect of primary hospital-community health management model based on big data for diabetes mellitus （DM）.Methods A total of 212 DM patients were divided into the control （n = 106） and observation groups （n = 106）. After discharge, all patients in the control group received routine health interventions from community health service center, and their counterparts in the observation group received primary hospital-community health interventions based on big data. The intervention effects were statistically compared between two groups.Results In the observation group, the fasting blood glucose, 2-hour postprandial blood glucose, GHbA1c, total cholesterol, triglyceride, LDL-C and blood pressure were significantly better than those in the control group. Moreover, the percentage of patients with normal blood glucose, blood pressure and blood lipid levels in the observation group was significantly higher compared with that in the control group （all P < 0.05）. After corresponding interventions, the scores in each dimension of Summary of Diabetes Self-Care Activities （SDSCA） measure and the differences before and after interventions in the observation group were significantly higher than those in the control group （all P < 0.05）. In the observation group, the awareness rate of DM knowledge was significantly higher compared with that in the control group （all P < 0.05）.Conclusion Primary hospital-community health management model based on big data can effectively lower the blood glucose level and enhance the awareness of prevention and control of DM.
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