Performance of a mixed filter to identify relevant studies for mixed studies reviews
- PMID: 26807052
- PMCID: PMC4722642
- DOI: 10.3163/1536-5050.104.1.007
Performance of a mixed filter to identify relevant studies for mixed studies reviews
Erratum in
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Correction: Performance of a mixed filter to identify relevant studies for mixed studies reviews.J Med Libr Assoc. 2019 Apr;107(2):289-290. doi: 10.5195/jmla.2019.664. Epub 2019 Apr 1. J Med Libr Assoc. 2019. PMID: 31019398 Free PMC article.
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.
Keywords: Database, Bibliographic; Empirical Research; Information Retrieval Systems; Medical Informatics; Review, Systematic.
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