title: Performance of a mixed filter to identify relevant studies for mixed studies reviews.
abstract: OBJECTIVE
  Mixed studies reviews include empirical studies with diverse designs. Given that identifying relevant studies for such reviews is time consuming, a mixed filter was developed.
  
  
  METHODS
  The filter was used for six journals from three disciplines. For each journal, database records were coded "empirical" (relevant) when they mentioned a research question or objective, data collection, analysis, and results. We measured precision (proportion of retrieved documents being relevant), sensitivity (proportion of relevant documents retrieved), and specificity (proportion of nonrelevant documents not retrieved).
  
  
  RESULTS
  Records were coded with and without the filter, and descriptive statistics were performed, suggesting the mixed filter has high sensitivity.
authors.forename: Reem
authors.initials: R
authors.lastname: El Sherif
authors.forename: Pierre
authors.initials: P
authors.lastname: Pluye
authors.forename: Genevieve
authors.initials: G
authors.lastname: Gore
authors.forename: Vera
authors.initials: V
authors.lastname: Granikov
authors.forename: Quan Nha
authors.initials: QN
authors.lastname: Hong
mesh_terms: D016208:Databases, Factual / Q000592:standards*; D016247:Information Storage and Retrieval / Q000592:standards*; D008490:Medical Informatics / Q000592:standards*; D012196:Review Literature as Topic; D057386:Search Engine / Q000592:standards*; D012680:Sensitivity and Specificity
keywords: Database, Bibliographic; Empirical Research; Information Retrieval Systems; Medical Informatics; Review, Systematic