Objective To study the effect of self-monitoring of blood glucose information management platform based on the medical consortium on the level of blood glucose control by improving the implementation rate of self-monitoring of blood glucose prescriptions for type 2 diabetes patients in the community.Methods A convenient sampling method was used to select 121 patients with type 2 diabetes from April 2021 to April 2023 who were enrolled in a community of a tertiary hospital medical consortium in Beijing.They were randomly divided into 61 patients in an experimental group and 60 patients in a control group.The control group received routine blood glucose monitoring and guidance education,while the experimental group was managed by a self-monitoring of blood glucose information management platform based on the medical consortium with nurses as the main body.Glycated hemoglobin,glucose test,fasting blood sugar,blood glucose 2 hours after meal,and the completion of self blood glucose monitoring prescriptions were evaluated and analyzed in the first week and the twelfth week of the 2 groups.Results 61 cases in the experimental group and 58 cases in the control group completed the follow-up,and the patients who completed the follow-up were analyzed.There was no statistically significant difference in glycated hemoglobin between the 2 groups at baseline(P=0.117).After 12 weeks,the reduction standard-reaching rate in glycated hemoglobin in the experimental group was significantly different from that in the control group(P=0.014).The number of self-monitoring of fasting blood glucose and the total number of other time periods in experimental group were significantly higher than those in the control group(P＜0.001);the implementation rate of self-monitoring prescription in the experimental group was better than that in the control group(P＜0.001).Conclusion A self blood glucose monitoring information platform was built to manage community type 2 diabetes patients,so that patients can master and implement the personalized blood glucose monitoring prescription formulated by the medical union team with nurses as the main body,and it is conducive to improving the frequency of blood glucose monitoring and the level of blood glucose control of diabetes patients.

Amyloidosis/diagnostic imaging* ; Biopsy ; Heart ; Humans

Objective:To study the influence of patients' ages on average medical expenses under the diagnosis related group and prospective payment system(DRG-PPS)model.Methods:Medical records of 52 987 selected patients at a third-tier general hospital in Beijing were collected from January 1 to December 31, 2019, and were then divided into three age groups based on age, the elderly group, the middle-aged group and the young group, and one-way ANOVA was used to determine differences in medical expenses between the same DRG group and different age groups.Related-sample nonparametric tests and linear regression were carried out for the three age groups to estimate the influence of the age factor on the medical expenses of different DRG groups.Results:First, the data of the three age groups in the same DRG group were analyzed by one-way ANOVA.The P values of the DRG groups were less than 0.05, except for the cb39 crystal surgery DRG group; Then, the data of the three age groups in different DRG groups were analyzed with the nonparametric test( P=0.021, less than 0.05); Finally, linear regression analysis was also used to analyze the case data of the three age groups.The p value was less than 0.05, and the standardized influence coefficient was 0.173, suggesting age was positively correlated with hospitalization expenses. Conclusions:Age affects average hospitalization expenses.After the implementation of the DRG-PPS model, the payment of DRG patients should be standardized with the inclusion of the age factor.

Objective:To analyze the seasonal characteristics and incidence trend of hepatitis E from 2005 to 2019 in Shanghai， and provide references for the prevention and treatment of hepatitis E. Methods:The seasonal characteristics of hepatitis E in Shanghai from 2005 to 2019 were analyzed by circular distribution method. The incidence trend of hepatitis E was analyzed by ARIMA （autoregressive moving average model）. Results:The peak period of hepatitis E in Shanghai from 2005 to 2019 was from November 17 to June 9， and the peak day was on February 27. The time series shows that the optimal model is SARIMA（0，1，1）×（0，1，1）₁₂， Akaike information criterion（AIC） and Schwartz Bayesian information criterion （SBC） are 1 243.799 and 1 250.035 respectively， and the residual is white noise sequence. The mean absolute percentage error（MAPE）between the predicted value， and the actual value of this model is 20.253%. The forecast shows a slight decrease in the number of cases of hepatitis E in 2020-2021 compared with 2019， but it is still at a high level. Conclusion:The incidence of hepatitis E in Shanghai shows a solid seasonal characteristic. Health education and prevention/control measures should be conducted well before the epidemic peak. Based on the short-term prediction， the incidence of hepatitis E would still be high. Effective prevention and control strategies should be developed， and active measures should be taken.