The Effect Of Targeted Information Support On Uncertainty In Illness With Pre-diabetes Patients

ObjectivesTo understand the level of the uncertainty in illness factors with pre-diabetes,through information support, changing in the existing cognitive errors of patients, in order to delay or prevent the development of type 2 diabetes and to reduce the uncertainty in illness of patients, to provide theoretical basis and practical guidance for the intervention of the patients with diabetes.MethodsBy convenience sampling method, 124 cases of pre-diabetes patients were selected from Fuyuan community, Fengle community and Tianxiacheng community July 2014- January 2015 in three community health service centers were randomly divided into a control group and the intervention group 62 cases each. Both groups were investigated using the general questionnaire, diabetic knowledge questionnaire and the Mishel’s Uncertainty in Illness Scale(Chinese version). The control group received conventional diabetic knowledge health education and the intervention group received targeted information support. Two groups were to measure diabetic knowledge questionnaire scores and the Mishel’s Uncertainty in Illness Scale(Chinese version) scores at pre-intervention and post-intervention in one month and three months.All data were statistically analyzed using IBM SPSS Statistic 20.0, test level α =0.05. Statistical results were used by mean ± standard deviation and rate. Statistical methods using two independent sample t-test, chi square test, single factor variance analysis and repeated measures analysis of variance analysis, and multiple linear analysis.Results1. A total of 119 patients completed the intervention study(59 patients in the intervention group and the control group of 60 cases). Before the intervention, No significant difference(P> 0.05) was observed between the baseline data of the two groups patients with equalization.2. Uncertainty in illness aggregate with pre-diabetes patients scored 112.68 ±12.16 points, which was in the medium to high level; in four dimensions, unclear dimension scored 45.05 ± 2.23 points that was the highest of the four; the second was complexity dimension which scored 28.44 ± 1.25 points; unpredictability dimension scored 14.03 ± 2.01 points that was the lowest of the four; by multiple linear analysis,BMI, education level, family history of diabetes and diabetes knowledge could affect in people with pre-diabetes disease uncertain.3. After intervention for 3 months, the difference between control group patients with uncertainty in illness scored 105.03 ± 3.29 points and those of pre-intervention was statistically significant(P < 0.05). Significant difference(P < 0.05) was observed between intervention group patients with uncertainty in illness scored 82.34 ± 3.77 points and those of pre-intervention. The score between the two groups of patients with the uncertainty in illness and that among each dimension were also statistically significant(P < 0.05).4. Compared with those of pre-intervention, diabetic knowledge of control group scored 7.50 ± 1.08 points and that of intervention group scored 9.86 ± 1.58 points were improved after intervention for 3 months. The difference between the knowledge score of the two groups of patients with diabetes was statistically significant(P < 0.05).Conclusions1. The levels of the uncertainty in illness with pre-diabetes patients were in the medium to high.2. The levels of the uncertainty in illness with pre-diabetes patients were affected by the BMI, education, family history of diabetes and diabetes knowledge.3. Targeted information support could effectively decrease the uncertainty in illness in patients with pre-diabetes.4. Targeted information support could effectively improve diabetes related knowledge, the risk factors of diabetes knowledge, diabetic diet knowledge, diabetes treatment knowledge and diabetes exercise knowledge in pre-diabetes patients.