Analysis of Drug-drug Interaction Alert Based on Multicenter Clinical Database
The doctor's overridden rate for Drug-drug interaction (DDI) alert systems was 85-95% in foreign and there was more than 90% overridden rate in Taiwan. Why DDI alerts systems which spent much time and money to establish could not use medicinal information to increase drug safety? One of the reasons which induced to override was that health care thought there were too much DDI alerts and high false alerts.
The difference between DDI alert systems from pharmacists to confirm drug-drug interaction was that pharmacists not only confirmed ordering drug at the same time but also checked the other drug information such as frequency, rote and refill etc. Therefore, DDI alert systems which were established by drug code alone would induce a lot of false alerts.
In order to study how much false alert rate in drug-drug interactions, this research selected most common drug-drug interaction which was antacids and antibiotics. Antacids were most self-payment so this research needed to analyze ROCDR (Establishing a Multi-Center, Longitudinal, Research-Oriented Clinical Data Repository for Clinical Research). The aim was to study how many drug-drug interactions and false alerts from antacids and antibiotics and analyze the difference in different department. Finally, proposing advice and assessment for building drug-drug interaction alerts system to strength drug information system and increase drug safety.
|Drug Interaction Alert|
|Study Design:||Observational Model: Case-Only
Time Perspective: Retrospective
|Official Title:||Analysis of Drug-drug Interaction Alert Based on Multicenter Clinical Database|
Please refer to this study by its ClinicalTrials.gov identifier: NCT01280422
|Taipei Medical University - WanFang Hospital|
|Principal Investigator:||Yu-Chuan Li||Taipei Medical University WanFang Hospital|