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1.
Article in Chinese | WPRIM | ID: wpr-876217

ABSTRACT

Objective An analysis of informationized multi-platform big data was conducted to learn about the quality change of health management data for hypertension and diabetes patients in Baoshan District of Shanghai since 2017.The result provided important information for further evaluation of the effect of quality control measures, and the prevention and management of chronic diseases. Methods Height, weight, blood glucose level, diagnosis and treatment information were collected from different databases of patients with hypertension and diabetes in Baoshan District from 2017 to 2019, and the consistency of the data from different sources was analyzed. Results Both the percentages of weight and height inconsistency among patients with hypertension and diabetes together were lower in 2019 than in 2017 (10.99% vs 18.72%, χ2=822.38, P < 0.001 and 0.86% vs 2.74%, χ2=347.03, P < 0.001, respectively).In 2019, the percentage of registered hypertensive patients with abnormal traceability from diagnosis was higher than that in 2017 (12.67% vs 11.72%, χ2=4.01, P=0.045).Similar results were also obtained in patients with diabetes.Analysis of glycated hemoglobin value last position in diabetic patients showed that the coefficient of variation of the last position composition ratio of the value in 2019 was significantly lower than that in 2017 (0.19 vs 0.31).The ratio in patients with the last position of glycosylated hemoglobin value of 0 was lower in 2019(4 701 cases, 12.72%) than that in 2017 (9 485 cases, 17.14%), and the difference was statistically significant. Conclusion The study result shows an improvement in quality management of hypertension and diabetes in Baoshan District of Shanghai.Information technology should be more widely used in promoting technical standardization, strengthening technical training, data quality control and effect evaluation.

2.
Article in Chinese | WPRIM | ID: wpr-789375

ABSTRACT

Objectvi e To understand the correlation between the diabetes and the complications and the constitution of traditional Chinese medicine ( TCM ) in Baoshan District in Shanghai , and to provide scientific evidence for carrying out the targeted prevention and intervention measures.M ethods TCM body mass table was used to distinguish the TCM constitution of the diabetic patients and the control group .The relationship between TCM constitution and diabetes and its complications was analyzed by single factor and multiple factor logistic regression . Results There were less patients with yin-yang harmony constitution and yang deficiency constitution in the case group than in the control group , while more with qi deficiency constitution and phlegm-damp constitution than in the control group .Among a total of 879 cases of diabetic patients with1 235 physical elements , the top four biased constitution elements were identified including constitution of qi deficiency ( 15.22%), yin deficiency ( 8.42%), yang deficiency ( 8.42%) and phlegm-damp ( 8. 34%).The yin deficiency, qi deficiency and phlegm dampness constitution elements in the case group were significantly higher than in the control group .Among 875 cases in the control group with 1 129 physical elements , the top four biased constitution elements were yang deficiency (12.40 %), qi deficiency( 9.65%), yin deficiency (5.05%) and phlegm-damp (4.52%), which yin-yang harmony constitution and yang deficiency constitution elements were significantly higher than those of the case group .The incidence of complications of the diabetic patients with biased constitution was significantly higher than those with the yin-yang harmony constitution . Conclusion Phlegm dampness constitution , qi deficiency constitution and yin deficiency constitution are the main dangerous constitution of diabetes mellitus .The protective constitution of diabetes is yin-yang harmony constitution and yang deficiency constitution .The biased constitution elements are the risk factors of diabetes complications .

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