Objective:To construct the evaluation index system of self-management quality for diabetic patients based on the information platform, so as to provide a reference for the development of diabetes management based on the information platform.Methods:From August to November 2018, the first draft of the index system was drawn up on the basis of literature review and expert meeting method. Through the Delphi method, two rounds of inquiries were conducted among 28 experts engaged in diabetes diagnosis and treatment, diabetes care, chronic disease management, nursing management, nursing education and so on, and the final index system was constructed. The activity and authority of experts, the consistency and coordination of experts' opinions were calculated.Results:The effective recovery rates of two rounds of consultation were 93.33% and 100.00%, and the expert authority coefficients were 0.911 and 0.945, respectively. In the second round of expert inquiry, the Kendall coordination coefficients of the first-level, second-level, and third-level indicators were 0.478, 0.478 and 0.537 respectively with statistical differences ( P<0.01) , and the coefficient of variation was all <0.25. The final evaluation index system of self-management quality for diabetic patients based on the information platform included 3 first-level indicators, 9 second-level indicators and 69 third-level indicators. Conclusions:The construction process of the evaluation index system of self-management quality for diabetic patients based on information platform is rigorous and scientific, and the indicator content is reasonable and reliable. It can provide a reference for perfecting the content of self-management intervention for diabetic patients supported by the information platform and improving the quality of comprehensive diabetes management.

Objective:To explore the effect of the application of nursing decision support information system in the continuing nursing of stroke patients in convalescent period, and to provide guidance for the information-based whole process nursing of stroke patients in convalescent period.Methods:A total of 107 stroke patients in convalescent period admitted to 4 Grade Ⅲ Level A hospitals of Beijing city from March to November 2019 were selected. The patients were divided into control group (53 cases) and test group (54 cases) by coin tossing method. The control group followed uniformly formulated discharge health education manual for post-discharge management and follow-up, while the test group received health guidance and follow-up through the nursing decision support information system. Barthel Index and MOS SF-36 were used to evaluate the activities of daily living and quality of life of the two groups of patients before intervention and 3 and 6 months after the intervention, and the results were compared.Results:There was no significant difference in Barthel Index before the intervention between the two groups( P>0.05). After 3 months of intervention, the Barthel Index ≤ 49, 50-70 and ≥ 71 in the test group were 7, 17 and 27 cases respectively, and 16, 21 and 13 cases in the control group respectively, and the difference between the two groups was statistically significant ( Z=-2.95, P<0.01). After 6 months of intervention, the Barthel Index ≤ 49, 50-70 and ≥ 71 in the test group were 7, 12 and 32 cases respectively, and 10, 15 and 25 cases in the control group respectively,and the difference between the two groups was statistically significant ( Z=-2.21, P<0.05). There was no significant difference in MOS SF-36 before the intervention between the two groups( P>0.05). After 3 and 6 months of intervention, the total score of MOS SF-36 in the test group was (50.51 ± 14.57), (57.06 ± 14.85) respectively, and that in the control group was (42.02 ± 15.48), (45.58 ± 14.97) respectively, and the differences between the two groups were statistically significant ( t=2.84, 3.23, both P<0.05). Conclusions:The application of nursing decision support information system can effectively improve the daily life ability of patients, enhance the quality of life of patients.

Objective:To explore the relationship between anxiety, depression and various dimensions of cognitive function in patients with mild cognitive impairment (MCI) .Methods:The convenient sampling method was adopted to conduct memory screening for 727 elderly people who visited the multidisciplinary joint memory clinic of a Class Ⅲ Grade A hospital in Beijing from January to December 2019. With their consent, 247 MCI patients were investigated using Montreal Cognitive Assessment (MoCA) , Generalized Anxiety Disorder (GAD-7) and Patient Health Questionnaire (PHQ-9) .Results:A total of 247 questionnaires were distributed and 233 valid questionnaires were returned. There were 67 cases (28.8%) of MCI patients with anxiety and depression, 11 cases (4.7%) with anxiety, 53 cases (22.7%) with depression and 102 cases (43.8%) without anxiety and depression. In MCI patients, anxiety was positively correlated with delayed recall ( P<0.05) , while depression was negatively correlated with language function ( P<0.05) . MCI patients with different emotional states had statistically significant differences in language function ( P<0.05) . Conclusions:MCI patients have a higher incidence of anxiety and depression, and anxiety and depression will affect different dimensions of cognitive function in MCI patients. Medical staff need to provide targeted interventions for MCI patients with different emotional characteristics.