ClinicalTrials.gov
public full text
Public Domain
A Non-interventional Naturalistic Project to Investigate the Effect of the Use of SMS Text Service on Treatment Adherence in Patients Treated With Seroquel® (Quetiapine)
The basic hypothesis of this trial is that forgetfulness and failure to establish a routine that facilitates medication adherence are prominent reasons for non-adherence. Daily use of the SMS text messages is designed to enhance patient adherence with medication by promoting daily routine and demonstrate the feasibility of using SMS technology within normal clinical practice in The Netherlands. PLEASE NOTE: Seroquel SR and Seroquel XR refer to the same formulation. The SR designation was changed to XR after consultation with FDA.
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
- An SMS Intervention to Improve Adherence to Stimulant Medications in Adults With ADHD#1382606
- Text Messaging Adherence to Stimulant Medication#1171027
- Improving Medication Adherence Through SMS (Short Messaging Service) in Adult Stroke Patients: a Randomised Controlled Behaviour Intervention Trial#831935
- Effect of Short Message Service Use on Anxiety#993112
- Optimizing Text Messaging to Improve Adherence to Web-Based Cessation Treatment#1075129
Record · ID 1394674
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