Analysis of Drug-drug Interaction Alert Based on Multicenter Clinical Database

NCT ID: NCT01280422

Last Updated: 2011-01-20

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

67128927 participants

Study Classification

OBSERVATIONAL

Study Start Date

2010-02-28

Study Completion Date

2010-08-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

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.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Drug Interaction Alert

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Select DDI rules: antacids and antibiotics
* Database: ROCDR (multicenter clinical database)
* The pharmacists defined six rules which were based on medical knowledge for true alerts or false-alert.

1. True alert: Rule 1 and Rule 2
2. "False-alert": Rule 3 or Rule 4
3. "Other" (Unable to determine): Rule 5 or Rule 6

Exclusion Criteria

* N/A
Minimum Eligible Age

20 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Taipei Medical University WanFang Hospital

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Department of Dermatology, WanFang Hospital

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Yu-Chuan Li

Role: PRINCIPAL_INVESTIGATOR

Taipei Medical University WanFang Hospital

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Taipei Medical University - WanFang Hospital

Taipei, , Taiwan

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Taiwan

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

99009

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Female LUTS and Quality of Life
NCT04547933 COMPLETED