Objective: To evaluate the effects on medication adherence by employing a cloud-text messaging platform connecting to the pharmacy Enterprise Resource Planning (ERP) system and diabetic patients.

Methods: We developed a cloud engine housing a continuously growing knowledge database of 5,245 drugs. This database is broken down to 5 different categories of text messages, providing contents of each drug’s 1) indication and dosage, 2) precautions and side effects, 3) relevant disease information, 4) relevant lab test interpretation, and 5) medication reminders. This cloud-based service was offered as Software as a Service (SaaS) by connecting to pharmacies’ ERP, allowing the engine to identify the patients in real-time who filled prescriptions within the drug store and auto-send text messages at dosage-adjusted intervals. During the past 8 months, 9,802 patients at 970 pharmacies in 8 cities received this intervention and medication adherence was measured by Proportion of Days Covered (PDC).

Results: PDC of the study population was improved from 57.9% at baseline to 67.0% at last time, P<0.001. PDC changes were further categorized into various groups by medications of use and intervention durations (Table 1A and 1B), and a global adherence improvement was found.

Conclusion: Text message-based knowledge delivery is an effective way to improve medication adherence for community diabetic patients.


Y. Li: None. J. Cao: None. W. Wang: None. Z. Wang: None. D. Li: None. H. Zhang: None. K. Liu: None.

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