Vaccine Adverse Event Reporting System
The Vaccine Adverse Event Reporting System (VAERS) is a United States program for vaccine safety, co-managed by the U.S. Centers for Disease Control and Prevention (CDC) and the Food and Drug Administration (FDA). VAERS is a postmarketing surveillance program, collecting information about adverse events (possible harmful side effects) that occur after administration of vaccines to ascertain whether the risk–benefit ratio is high enough to justify continued use of any particular vaccine.
VAERS, the Vaccine Safety Datalink, and the Clinical Immunization Safety Assessment (CISA) Network are tools by which the CDC and FDA measure vaccine safety to fulfill their duty as regulatory agencies charged with protecting the public. Some scientists would like to do a more scientifically rigorous job of this, noting that VAERS has several limitations, including unverified reports, underreporting, inconsistent data quality, and absence of an unvaccinated control group.
The program is an outgrowth of the 1986 National Childhood Vaccine Injury Act (NCVIA), which requires health care providers to report:
- Any event listed by the vaccine manufacturer as a contraindication to subsequent doses of the vaccine.
- Any event listed in the Reportable Events Table that occurs within the specified time period after vaccination. The data are stored electronically by the CDC in the Vaccine Safety Datalink (VSD).
VAERS was established in 1990, and is managed jointly by the FDA and the CDC. It is meant to act as a sort of "early warning system"—a way for physicians and researchers to identify possible unforeseen reactions or side effects of vaccination for further study.
Each year the VAERS receives 10,000–20,000 reports of adverse events following immunization by more than 10 million vaccines. Higher-priority uses of the data include reports of death and other serious adverse events, recognizing and detecting adverse effects, and finding unexpected adverse events involving new vaccines. The VAERS data are also used to monitor known reactions to vaccines and for vaccine lot surveillance. Data mining techniques such as empirical Bayes methods can be used to improve the quality of data analysis.
Like other spontaneous reporting systems, VAERS has several limitations, including underreporting, unverified reports, inconsistent data quality, absence of a control group that is not vaccinated, and inadequate data about the number of people vaccinated. Indeed, an autism activist named Jim Laidler once reported to VAERS that a vaccine had turned him into The Incredible Hulk. The report was accepted and entered into the database, but the dubious nature thereof prompted a VAERS representative to contact Mr. Laidler, who then gave his consent to delete the report.
Use in research and litigation
Many medical researchers make use of VAERS to study the effects of vaccination. VAERS warns researchers using its database that the data should not be used in isolation to draw conclusions about cause and effect. Nonetheless, data from VAERS has been used in vaccine litigation to support the claim that vaccines cause autism.
Litigation related to vaccines and autism has led to an increase in VAERS reports filed by plaintiff's attorneys. A 2006 article in Pediatrics found that most VAERS reports related to thimerosal, and many related to autism, were filed in connection with litigation, leading the authors to caution that inappropriate reliance on VAERS data may be a source of bias. The study's lead author stated: "Lawyers are manipulating this system to show increases [in vaccine-related adverse events] that are based on litigation, not health research." Paul Offit, chief of infectious disease at Children's Hospital of Philadelphia, wrote:
Public health officials were disappointed to learn that reports of autism to VAERS weren't coming from parents, doctors, nurses, or nurse practitioners; they were coming from personal-injury lawyers ... For the lawyers, VAERS reports hadn't been a self-fulfilling prophecy; they'd been a self-generated prophecy.
- Centers for Disease Control and Prevention, Vaccine Safety Monitoring at CDC, retrieved 2015-03-11.
- Woo EJ, Ball R, Burwen DR, Braun MM (2008). "Effects of stratification on data mining in the US Vaccine Adverse Event Reporting System (VAERS)". Drug Saf. 31 (8): 667–74. doi:10.2165/00002018-200831080-00003. PMID 18636785.
- "VAERS Data". VAERS.
- Laidler, James R. (July 27, 2005). "Chelation and Autism". Neurodiversity Blog. Archived from the original on April 19, 2013. Retrieved October 8, 2013.
- Hall, Harriet (2018). "Diving into the VAERS Dumpster: Fake News about Vaccine Injuries". Skeptical Inquirer. 42 (6): 28–31.
- Goodman MJ, Nordin J (2006). "Vaccine adverse event reporting system reporting source: a possible source of bias in longitudinal studies". Pediatrics. 117 (2): 387–90. doi:10.1542/peds.2004-2687. PMID 16452357.
- Offit, Paul A. (2008). Autism's False Prophets: Bad Science, Risky Medicine, and the Search for a Cure. New York: Columbia University Press. ISBN 978-0-231-14636-4.
- vaers.hhs.gov – Vaccine Adverse Event Reporting System (official website). This also contains instructions for downloading the VAERS data.
- Vaccine Adverse Event Report System (VAERS) Overview, FDA
- VAERS request for searching the database
- Galindo, Belkys M., et al."Vaccine-Related Adverse Events in Cuban Children", 1999–2008. MEDICC Review. 2012;14(1):38–43.