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.
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.
Keywords:
Database, Bibliographic; Empirical Research; Information Retrieval Systems; Medical Informatics; Review, Systematic
Authors: K Ann McKibbon; Cynthia Lokker; Nancy L Wilczynski; Donna Ciliska; Maureen Dobbins; David A Davis; R Brian Haynes; Sharon E Straus Journal: Implement Sci Date: 2010-02-12 Impact factor: 7.327
Authors: Pierre Pluye; Reem El Sherif; Vera Granikov; Quan Nha Hong; Isabelle Vedel; Maria Cristiane Barbosa Galvao; Francesca E Y Frati; Sophie Desroches; Carol Repchinsky; Benoît Rihoux; France Légaré; Bernard Burnand; Mathieu Bujold; Roland Grad Journal: J Assoc Inf Sci Technol Date: 2019-01-30 Impact factor: 2.687