This site is intended for healthcare professionals

Go to /sign-in page

You can view 5 more pages before signing in

Detection

Authoring team

Detection of adverse drug reactions is very difficult. For example, a premarket trial of 3000 patients will, with a poisson distribution, detect 1 adverse effect if there is an incidence of 1 in 1000, assuming no background incidence. The higher the background incidence with a rare adverse effect, the harder the adverse effect is to detect.

Surveillance and detection is by:

  • anecdotes - unorganised
  • voluntary reporting - organised. Yellow cards in the BNF
  • others: - intensive event recording - prospective - cohort - studies - case-control studies - population statistics - record linkage

Create an account to add page annotations

Annotations allow you to add information to this page that would be handy to have on hand during a consultation. E.g. a website or number. This information will always show when you visit this page.

The content herein is provided for informational purposes and does not replace the need to apply professional clinical judgement when diagnosing or treating any medical condition. A licensed medical practitioner should be consulted for diagnosis and treatment of any and all medical conditions.

Connect

Copyright 2024 Oxbridge Solutions Limited, a subsidiary of OmniaMed Communications Limited. All rights reserved. Any distribution or duplication of the information contained herein is strictly prohibited. Oxbridge Solutions receives funding from advertising but maintains editorial independence.