Development of search strategies to identify reports of off- label drug use in MEDLINE

Article type
Authors
Mesgarpour B1, Mülle M1, Herkner H2
1Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
2Department of Emergency Medicine, Medical University of Vienna, Vienna, Austria
Abstract
Background: It has been reported that a large number of medications are used routinely for unapproved indications or in incorrect dosages, routes of administration or age groups. These are so-called 'off-label’ uses. However, the efficacy and safety of off-label drug usage have not beensufficiently proven.

Objectives: Because of variation in the description of using medications beyond their approval and diversity in study type, the off- label drug use studies are not easyto detect in electronic literature databases. This research aimed to develop a search strategy that facilitates finding the off- label drug use studies in a bibliographic database, Ovid MEDLINE.Methods: MEDLINE via OvidSP was searched from 1948 to 20 January 2011. Search queries, including search words and strings, were conceived based on definitions of off-label use of medications.The sensitivity and specificity of search queries and their combinations as well as the subjectheading 'Off-Label Use.sh.’ were determined by comparison with a gold standard reference set. The gold standard was compiled from reports of off- label drug use identified by a sensitive search ofMEDLINE and EMBASE. We attempted to achieve the highest possible sensitive search strategy and an optimal balance of sensitivity and precision.

Results: Out of 4334 retrieved documents, 2177 (50.2%) off- label drug use studies were found. The most sensitive single term was 'off label*.af.’ (sensitivity 40.9%, precision 84.4%). A top sensitive strategy was revealed by combining 31 search queries with sensitivity of 53.3% and precision of 60.3%. Maximizing precision, a top search strategy achieved a value of 84.0%, but with compromisedsensitivity at 49.0%.

Conclusions: We empirically developed two versions of highly sensitive search strategies, which can achieve high performance for retrieving off-label drug use documents in Ovid MEDLINE.