A systematic review of validated methods for identifying erythema multiforme major/minor/not otherwise specified, Stevens–Johnson Syndrome, or toxic epidermal necrolysis using administrative and claims data
G. Schneider, MSPH, ScD, Epidemiology and Database Analytics, United BioSource Corporation, 430 Bedford St., Suite 300, Lexington, MA 02420, USA. E-mail: firstname.lastname@example.org
The Food and Drug Administration's (FDA) Mini-Sentinel pilot program aims to conduct active surveillance to refine safety signals that emerge for marketed medical products. A key facet of this surveillance is to develop and understand the validity of algorithms for identifying health outcomes of interest (HOIs) from administrative and claims data. This paper summarizes the process and findings of the algorithm review of erythema multiforme and related conditions.
PubMed and Iowa Drug Information Service searches were conducted to identify citations applicable to the erythema multiforme HOI. Level 1 abstract reviews and Level 2 full-text reviews were conducted to find articles that used administrative and claims data to identify erythema multiforme, Stevens–Johnson syndrome, or toxic epidermal necrolysis and that included validation estimates of the coding algorithms.
Our search revealed limited literature focusing on erythema multiforme and related conditions that provided administrative and claims data-based algorithms and validation estimates. Only four studies provided validated algorithms and all studies used the same International Classification of Diseases code, 695.1. Approximately half of cases subjected to expert review were consistent with erythema multiforme and related conditions.
Updated research needs to be conducted on designing validation studies that test algorithms for erythema multiforme and related conditions and that take into account recent changes in the diagnostic coding of these diseases. Copyright © 2012 John Wiley & Sons, Ltd.