Application Of TTM In Disease Uncertainty And Self-management In Diabetic Patients

Objectives:Understand the current situation of disease uncertainty and self-management in patients with type 2 diabetes,and explore intervention measures to reduce the disease uncertainty of patients with diabetes and improve the level of self-management of patients.Use TTM theory and MMC platform to formulate personalized diabetes health education intervention programs,provide reference for clinical diabetes health education,help patients develop healthy behavior habits,and delay the occurrence of diabetes complications.Methods:The method of convenient sampling was adopted,and 79 study subjects were selected strictly according to the inclusion and exclusion criteria.From June 2020 to August 2020,a patient diagnosed with type 2 diabetes in the Department of Endocrinology,Affiliated Hospital of Yunnan University(The Second People’s Hospital of Yunnan Province).The patients were sorted according to the length of hospital stay,and the subjects were randomly divided into a control group(40 cases)and a study group(39 cases).Use general information questionnaire,blood glucose and blood lipid questionnaire,behavior change stage assessment form,MUIS,DSMQ to investigate patients.Subsequently,the two groups of patients were treated with health education intervention.The control group used conventional diabetes health education,and the study group used TTM theory and MMC platform to develop personalized diabetes health education intervention programs for the patients according to the patient’s current behavior transition stage.Months and 3 months later,the patients were surveyed again with the Behavior Transition Stage Assessment Form,the Blood Sugar and Lipid Questionnaire,MUIS,and DSMQ.To explore the application effect of TTM in the uncertainty and self-management of patients with type 2 diabetes.Results:1.In this study,there were 43 males and 36 females,with an average age of 55.20±15.49 years old.There were 17 patients under 45 years old,accounting for 21.5%.47 patients under 60 years old accounted for 59.4%.There was no statistically significant difference in baseline information between the two groups of patients(p>0.05).2.After the intervention,the behavior transition stage of the two groups of patients changed.The number of patients in the pre-intentional phase of the control group was reduced from 19 to 8,and the study group was reduced from 18 to 0;the intention-phase control group was increased from 11 to 17,The study group decreased from 12 to 0;the control group in the preparation phase was 8 people,and the intervention group increased to 10 people,and the study group increased from 7 to 10 people;the action phase control group increased from 2 to 5 people,and the study group increased from 2 to 5 2 people increased to 27;there was no increase in the control group during the maintenance phase,and 2 people in the study group.3.Before the intervention,the two groups of patients had an average score of 100.06±10.18 points for disease uncertainty,and an average score of 23.49±9.03 points for self-management;before the intervention,the average fasting blood glucose of the two groups was 8.19±3.10,and the average blood glucose 2 hours after the meal was 14.68.±4.76,the mean value of glycosylated hemoglobin is 10.14 ± 2.87;three variables of education level,monthly income,and whether they have received diabetes health education affect the patient’s disease uncertainty score;the three independent variables of age,residence style,and disease course affect the patient’s self-management level(P<0.05).4.Analysis of variance of disease uncertainty repetition and self-management measurement between two groups of patients:There are statistical differences in disease uncertainty scores at three time points(P<0.001),and there are differences in pairwise comparisons at three time points Statistical significance(P<0.001);Controlling the time factor,the two groups’ disease uncertainty scores have different effects(P<0.05);there is an interaction between time and grouping(P<0.001);there is no statistical difference in the disease uncertainty scores of the two groups before intervention(P>0.05),there is a difference between the intervention for 1 month and the intervention for 3 months(P<0.05);Diabetes self-management scores at the three time points were statistically different(P<0.001),and the differences in the LSD method at the three time points were statistically significant(P<0.001);controlling the time factor,the two groups’ disease uncertainty The improvement of scores is not the same(P<0.05);there is an interaction between time and grouping(P<0.001).Before the intervention,there was no significant difference in the scores of diabetes self-management between the two groups(P>0.05).The intervention was for 1 month There was a difference between 3 months and 3 months of intervention(P<0.05).5.Analysis of variance of repeated measurement of blood glucose and blood lipid BMI between the two groups:The differences in BMI,HbAlc,FPG,and 2hPBG between the two groups at different time points were statistically significant(P<0.001),and the two-by-two comparison of indicators in each group was statistically significant(P<0.001).Controlling for the time factor,there was no difference in the main effects of BMI and FPG(P>0.05),and the difference in the main effects of HbAlc and 2hPBG was statistically significant(P<0.05).The index time and grouping of each group had an interactive effect(P<0.001);there was no statistically significant difference in the index of each group before the intervention between the two groups(P>0.05).There was no significant difference in BMI,HbAlc and FPG between the two groups before the intervention and 1 month after the intervention(P>0.05),and the difference was statistically significant at 3 months after the intervention(P<0.001);The difference before intervention was not statistically significant(P>0.05),and the difference between 1 and 3 months after intervention was statistically significant(P<0.001);with the change of time,the measures of the two groups had significant effects on BMI,HbAlc,FPG,and 2hPBG.All have a reducing effect,and the effect of the measures of the study group is better than that of the control group.