Values obtained from this algorithm are often used in peer reviews to verify the validity of author's conclusions regarding ADRs.
It is often compared to the WHO-UMC system for standardized causality assessment for suspected ADRs.
Empirical approaches to identifying ADRs have fallen short because of the complexity of the set of variables involved in their detection.
[3,4] Automated adverse drug event monitors can search for keywords or phrases throughout the patient's medical record to identify drug therapies, laboratory results, or problem lists that may indicate that a patient has already been treated for an ADR.
[2, 20-24] Almost all of these methods employ critical causation variables identified by Sir Austin Bradford Hill in 1965.
This method has been tested for internal validity with between-rater reliability testing, and its probability scale has consensual, content, and concurrent validity as well as ease of use in clinical settings and controlled studies.
Did the adverse reaction improve when the drug was discontinued or a specific antagonist was given?
Epidemiology, comparative methods of detection, and preventability of adverse drug events.