Quality analysis of multi-source data for health management in major chronic diseases in Baoshan District of Shanghai

ObjectiveAn 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.

MethodsHeight, 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.

ResultsBoth 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.

ConclusionThe 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.