Application of intelligent self-management prescription in diabetes patients
Objective To explore the effect of intelligent self-management prescription in patients with diabetes mellitus.Methods A total of 360 diabetes patients were randomized into two groups,with 180 in each.The control group received self-management edu-cation and support through an intelligent management platform,while their counterparts in the intervention group additionally re-ceived self-management prescription which was generated by analyzing patient's individualized conditions with an intelligent deci-sion support system.The prescription included 6 parts:assessment,diet,exercise,monitoring,education and complication preven-tion.The blood glucose,treatment compliance and self-management behaviors were compared between the two groups immediately post 6-month.Results The levels of fasting blood glucose,2 h postprandial glucose and glycosylated hemoglobin(HbA1c)were sig-nificantly lower,whereas treatment compliance and self-management behaviors(except smoking)were significantly higher in the intervention group compared with the control group immediately post intervention(all P<0.05).Conclusion Implementing intelli-gent self-management prescription in diabetes patients can enhance their treatment compliance and self-management behavior,re-sulting in improving blood glucose control.