ClinicalTrials.gov
public full text
Public Domain
Effect of Internet Therapeutic Intervention on A1C Levels in Type 2 Diabetes Mellitus (DM) on Monotherapy
This project will test the effectiveness of an Internet based glucose monitoring system on the A1C levels of patients with type 2 diabetes. All of the patients are given a meter and test strips to test their blood glucose levels, however, half of them will be required to also upload their meter onto the Internet which can then be viewed by their endocrinologist. The doctor can then send a message back to the patient and comment on the readings. The effect of the ongoing communication will be measured by the changes in the glucose levels (HbA1C) over 3 and 6 months.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Enhancing Mobile App Adoption for Type 2 Diabetes Mellitus Medication Adherence and Self-Management: A Grounded Theory Study.#298932
- Effect of Mobile Communication With a Cellular Phone With a Glucometer on Glucose Control in Type 2 Diabetic Patients#314264
- Mobile Health Application for Diabetes#968049
- GCAR1, a Chimeric Antigen Receptor (CAR) T-CELL Therapy for Relapsed/Refractory GPNMB-Expressing Solid Tumours#981884
- Weekly Subcutaneous Semaglutide as Adjunct to Closed-loop Therapy in Type 1 Diabetes Care#896241
Record · ID 833902
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive