Journal of Diabetes Research (Jan 2019)

A Decision-Support Software to Improve the Standard Care in Chinese Type 2 Diabetes

  • Yingying Luo,
  • Yongzan Zhu,
  • Jing Chen,
  • Xueying Gao,
  • Wenjia Yang,
  • Xiantong Zou,
  • Xianghai Zhou,
  • Linong Ji

DOI
https://doi.org/10.1155/2019/5491743
Journal volume & issue
Vol. 2019

Abstract

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Background. To develop a decision-support software according to the Chinese Diabetes Society guideline in order to improve the standard care in type 2 diabetes. Methods. Firstly, we developed a decision-support software for healthcare professionals. It was an independent software on a tablet to record the data of patients and treatments given by their physicians. A major function of the software was to remind doctors when and how they should implement the standard care as recommended by the Chinese Diabetes Society guideline. Secondly, we compared the baseline data of standard care including statin and aspirin usage with data from a previous “3B study” to see whether there was an improvement of these standard cares. Finally, we further compared the data during four quarters of the whole year to evaluate whether there was a continuous improvement. Results. During the first quarter, 27,291 cases and 27,352 cases were collected with complete information about statin and aspirin usage, respectively. The percentage of patients treated with statins and aspirin in our study was significantly higher than that reported in the 3B study (59.6% vs. 19.9% and 59.8% vs. 18.5%, P0.05). Conclusion. Our decision-support software has been shown to be effective in continuously improving the standardization of comprehensive treatment in type 2 diabetes.