Adverse Drug Reactions Database
Find out which drug is causing the ADR
Home
What are ADRs
About the Database
Terminology
Contact
Disclaimer: This website does not include all the adverse drug reactions (ADRs) that may occur in practice.  At present, the database only contains ADRs affecting 5 system organ classes. Thus, a search for a particular ADR may not yield any results. A negative search result should not be interpreted to mean that no drugs cause that particular ADR.   The data was sourced from Summary of Product Characteristics (SPCs)  of Medicinal products present in Malta.  Thus, other drugs (available outside Malta), besides those enlisted may also be responsible for a particular ADR.
This work was carried out by Stephanie Bezzina under the supervision of Dr. Maurice Zarb Adami as part of her submission for the degree of Master of Pharmacy.
A database is a collection of related data, which is designed, built and populated with data for a specific purpose for an intended group of users. (Elmasri & Navanthe, 2004).
Medicine is an ongoing process of research and discovery and thus database structures have an important role in storing the abundant data collected from research.  They are valuable tools for reference, comparing and obtaining desired data quickly.

The main aim of this project is to build a database of adverse drug reactions with the corresponding list of the drugs that are known to cause the specified ADR.  
This database will aid HCPs in correlating a specific ADR to one particular drug. This is especially useful if the patient is on multiple drug therapy and would avoid having to discontinue all the drugs and re-challenge the patient, drug at a time to see which one caused the ADR.
The ADR database contains a search feature where one can type in an adverse drug reaction and as a result, the drugs that may cause the ADR inputted will be displayed.  Thus, it is a tool for health care professionals to be able to correlate adverse reactions to drug use more easily and hence promote ADR reporting which further translates into more accurate labelling of medicinal products.   Ultimately, it aims to reduce morbidity and non-compliance in patients undergoing drug therapy.  

Elmasri R, Navanthe SB. Fundamentals of database systems. 4th ed. Boston: Pearson Education Inc.; 2004: 4-5.
About the Database
SEARCH THE DATABASE