Literature DB >> 32987157

A validation study revealed differences in design and performance of search filters for qualitative research in PsycINFO and CINAHL.

Stefanie Rosumeck1, Mandy Wagner2, Simon Wallraf2, Ulrike Euler2.   

Abstract

OBJECTIVES: Search filters can support qualitative evidence of information retrieval. Various search filters are available for the bibliographic databases PsycINFO and CINAHL. To date, no comparative overview of validation results of search filters verified with an independent gold standard exists. STUDY DESIGN AND
SETTING: Identified search filters for PsycINFO and CINAHL were tested for plausibility. Gold standards were generated according to the relative recall approach using references included in an overview of systematic reviews of qualitative studies. All included references were collected and checked for indexing in PsycINFO and CINAHL. Validation tests for each search filter were conducted in both databases to determine whether the references of the gold standards could be retrieved or not.
RESULTS: Twelve search filters for PsycINFO and fifteen for CINAHL were validated. The complexity and design of these search filters vary, as well as the validation results for the databases. When locating primary studies of qualitative research, the best sensitivity and precision ratio (among filters with a sensitivity of >80%) was achieved with a filter by McKibbon et al. for PsycINFO and a filter by Wilczynski et al. for CINAHL.
CONCLUSION: Project-specific requirements and resources influence the choice of a specific search filter for PsycINFO and CINAHL.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Keywords:  Bibliographic databases; CINAHL; Information storage and retrieval; PsycINFO; Qualitative research; Search filter; Sensitivity and specificity

Mesh:

Year:  2020        PMID: 32987157     DOI: 10.1016/j.jclinepi.2020.09.031

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  2 in total

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Journal:  BMJ Open       Date:  2022-06-08       Impact factor: 3.006

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Authors:  Chris Carmona; Susan Baxter; Christopher Carroll
Journal:  BMC Med Res Methodol       Date:  2022-10-12       Impact factor: 4.612

  2 in total

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