Analysis of the Effect of Human-computer Interaction Intelligent Management on Blood Glucose Control in New-onset Type 2 Diabetes Mellitus Patients

Abstract

Background Early intervention of blood glucose control in patients with new-onset type 2 diabetes mellitus (T2DM) can help delay the progression of diabetes. As a new form of health management, the effect of human-computer interaction intelligent blood glucose monitoring management on the progression of new-onset T2DM patients has not been clarified. Objective To explore the effect of human-computer interaction intelligent management on blood glucose control and self management capability in new-onset T2DM patients, so as to provide the reference for optimizing the control strategy in new-onset T2DM patients. Methods From June 2016 to December 2016, 200 patients with new-onset T2DM admitted to the Tianjin Medical University, Chu Hsien-I Memorial Hospital were selected by convenient sampling and randomly divided into the control group (n=100) and the monitoring group (n=100). The interventions in the monitoring group were the same as those in the control group except for the human-computer interaction intelligent monitoring. Blood glucose indexes〔fasting blood glucose (FBG), 2 h postprandial glucose (2 hPG) and glycated hemoglobin (HbA1c) 〕and self-management capability indexes〔diabetes management self-efficacy scale (DMSES), summary of diabetes self-care activities (SDSCA), diabetes self-care scale (2-DSCS) 〕were recorded at the time of enrollment and after 3 months of follow-up in the two groups. Results After 3 months of follow-up, the monitoring group included 95 cases, the control group included 97 cases. Compared with the pre-intervention period, FBG, 2 hPG and HbA1c levels decreased in both groups after the intervention (P<0.05), and the scores of DMSES scores increased in both groups (P<0.05). FBG, 2 hPG and HbA1c were significantly lower in the post-intervention period of glucose monitoring group compared with the control group (P<0.05). 67 patients (70.5%) in the monitoring group reached the target level of FBG, 31 patients (32.0%) in the control group as well; besides 49 patients (51.6%) in the monitoring group reached the target level of 2 hPG, 30 patients (30.9%) in the control group as well; moreover, 67 patients (70.5%) in the monitoring group reached the target level of HbA1c, 29 cases (29.9%) in the control group as well, all the above rates of reaching in the monitoring group was higher than those in the control group (P<0.05). The total DMSES score, 2-DSCS score and SDSCA score in the monitoring group were higher than those in the control group (P<0.05). The score of DMSES in new-onset T2DM patients was positively correlated with the scores of 2-DSCS and SDSCA (rs=0.909, 0.872, P<0.01). The 2-DSCS scale score was positively correlated with the SDSCA scale score (rs=0.917, P<0.01). Multiple regression analysis showed that diet control, regular exercise, taking medication as instructed, blood glucose monitoring, prevention and management of high and low blood glucose behaviors were favorable factors for HbA1c reduction (P<0.05). The general diet, special diet and taking medication as instructed were the favorable factors for FBG and 2 hPG levels reduction (P<0.05), and the blood glucose monitoring was positive for 2 hPG levels reduction. Conclusion Human-computer interaction intelligent management was able to improve blood glucose control of new-onset T2DM patients effectively, which can promote the reaching to target blood glucose level, the subjective initiative of health behavior mainly through improving compliance of blood glucose monitoring, healthy diet, exercise and taking medication as instructed, which provide advice on effective intervention methods for new-onset T2DM patient management.

Keywords

• diabetes mellitus, type 2|human-computer interaction|blood glucose control|self-care behavior|management self-efficacy