Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2013 Oct;4(5):211-9.
doi: 10.1177/2042098613490780.

Monitoring product safety in the postmarketing environment

Affiliations
Review

Monitoring product safety in the postmarketing environment

Robert G Sharrar et al. Ther Adv Drug Saf. 2013 Oct.

Abstract

The safety profile of a medicinal product may change in the postmarketing environment. Safety issues not identified in clinical development may be seen and need to be evaluated. Methods of evaluating spontaneous adverse experience reports and identifying new safety risks include a review of individual reports, a review of a frequency distribution of a list of the adverse experiences, the development and analysis of a case series, and various ways of examining the database for signals of disproportionality, which may suggest a possible association. Regulatory agencies monitor product safety through a variety of mechanisms including signal detection of the adverse experience safety reports in databases and by requiring and monitoring risk management plans, periodic safety update reports and postauthorization safety studies. The United States Food and Drug Administration is working with public, academic and private entities to develop methods for using large electronic databases to actively monitor product safety. Important identified risks will have to be evaluated through observational studies and registries.

Keywords: pharmacovigilance; product safety; signal detection.

PubMed Disclaimer

Conflict of interest statement

Conflict of interest statement: R.G.S. was employed by Merck & Co., Inc. from 1991 to 2008. G.S.D. was employed by Pfizer Inc. from 1986 to 2010.

References

    1. Bate A., Lindquist M., Edwards I., Olsson S., Orre R., Lansner A., et al. . (1998) A Bayesian neural network method for adverse drug reaction signal generation. Eur J Clin Pharmacol 54: 315–321 - PubMed
    1. Centers for Disease Control and Prevention (CDC) (2012) Poliomyelitis. In: Epidemiology and Prevention of Vaccine-Preventable Diseases. The Pink Book: Course Textbook, 12th edn, 2nd printing. Atlanta, GA: CDC
    1. DeStefano F., Verstraeten T., Chen R. (2002) Hepatitis B vaccine and risk of multiple sclerosis. Expert Rev Vaccines 1: 461–466 - PubMed
    1. Dieck G., Sharrar R. (2013) Preparing for safety issues following drug approval: preapproval risk management considerations. Submitted to Therapeutic Advances in Drug Safety. - PMC - PubMed
    1. DuMouchel W. (1999) Bayesian data mining in large frequency tables, with an application to the FDA reporting system. Am Stat 53: 177–202

LinkOut - more resources