التفاصيل البيبلوغرافية
| العنوان: |
Portrait for Type 2 Diabetes with Goal-Achieved HbA1c Using Digital Diabetes Care Model: A Real-World 12-Month Study from China. |
| المؤلفون: |
Li, Mingzhen, Zhang, Bing, Guo, Lichuan, Zhang, Yuan, Du, Xiaoyan, Wang, Bingyi, Xu, Zheng, Sun, Ning, Chen, Ruibin, Han, Wanwen, Chen, Liming, Song, Zhenqiang |
| المصدر: |
Patient Preference & Adherence; Sep2023, Vol. 17, p2227-2235, 9p |
| مصطلحات موضوعية: |
TYPE 2 diabetes, GLYCOSYLATED hemoglobin, BLOOD sugar monitoring, GLYCEMIC control, DIABETES |
| مصطلحات جغرافية: |
CHINA |
| مستخلص: |
Background: Our previous study demonstrated that digital diabetes care model (DDCM) created by multidisciplinary care team (MDCT) can improve glycemic control for patients with diabetes than usual care. Therefore, we aimed to explore long-term glycemic control with DDCM and influencing factors in type 2 diabetic cohort, in order to make a portrait for diabetes with goal-achieved HbA1c in clinics.Methods: A total of 1198 outpatients with type 2 diabetes using DDCM for at least 12 months were recruited as a cohort. Medical records and specific DDCM indexes were collected. The influencing factors for glycemic control were explored by multivariate logistic regression analysis, followed by an internal and external validation.Results: A total of 887 patients were finally included. HbA1c target-achieving rate was increased from 39.83% at baseline to 71.79% after 3-month follow-up. A shorter duration of diabetes, more frequent self-monitoring of blood glucose, lower HbA1c level at baseline, and less frequent emergency out-of-hospital follow-ups were influencing factors for HbA1c < 7% at 12-month follow-up. AUC of the prediction model was 0.790, with a sensitivity of 69.7% and specificity of 76.1%. Internal and external validation in patients using the DDCM monitored by MDCT indicated that the DDCM was robust (AUC =0.783 and 0.723, respectively).Conclusion: Our findings made a portrait for T2DM with goal-achieved HbA1c in our DDCM. It is important to recognize associated factors for health providers to make personalized intervention in clinical practice. [ABSTRACT FROM AUTHOR] |
|
Copyright of Patient Preference & Adherence is the property of Dove Medical Press Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
PDF full text from Publisher 
Full Text Finder