Abstract
BackgroundObjectively derived search filters for adverse drug effects and complications in surgery have been developed but not for medical device adverse effects.ObjectiveTo develop and validate search filters to retrieve evidence on medical device adverse effects from ovid medline and embase.MethodsWe identified systematic reviews from Epistemonikos and the Health Technology Assessment (hta) database. Included studies within these reviews that reported on medical device adverse effects were randomly divided into three test sets and one validation set of records. Using word frequency analysis from one test set, we constructed a sensitivity maximising search strategy. This strategy was refined using two other test sets, then validated.ResultsFrom 186 systematic reviews which met our inclusion criteria, 1984 unique included studies were available from medline and 1986 from embase. Generic adverse effects searches in medline and embase achieved 84% and 83% sensitivity. Recall was improved to over 90%, however, when specific adverse effects terms were added.ConclusionWe have derived and validated novel search filters that retrieve over 80% of records with medical device adverse effects data in medline and embase. The addition of specific adverse effects terms is required to achieve higher levels of sensitivity.
Highlights
Systematic reviews of adverse effects were identified by searching Epistemonikos and the Health Technology Assessment (HTA) database via OVID
These 186 reviews included 2130 studies (2278 studies before deduplication) and of these included studies – 1984 unique records were available on MEDLINE and 1986 on EMBASE
The gold standard set of 1984 records in MEDLINE were randomly allocated into three test sets of 496 records each and one validation set of 496 records
Summary
As with other interventions, not all adverse effects may be known at the time of searching and it is common to include study designs beyond randomised controlled trials (RCTs) for identifying the adverse effects of medical devices. Objective: To develop and validate search filters to retrieve evidence on medical device adverse effects from OVID MEDLINE and EMBASE. Methods: We identified systematic reviews from Epistemonikos and the Health Technology Assessment (HTA) database. Included studies within these reviews that reported on medical device adverse effects were randomly divided into three test sets and one validation set of records. Conclusion: We have derived and validated novel search filters that retrieve over 80% of records with medical device adverse effects data in MEDLINE and EMBASE. The addition of specific adverse effects terms is required to achieve higher levels of sensitivity
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