A validation study revealed differences in design and performance of search filters for qualitative research in PsycINFO and CINAHL
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. Identified s...
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| Veröffentlicht in: | Journal of clinical epidemiology 2020-12, Vol.128, p.101-108 |
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| creator | Rosumeck, Stefanie Wagner, Mandy Wallraf, Simon Euler, Ulrike |
| description | 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.
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.
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.
Project-specific requirements and resources influence the choice of a specific search filter for PsycINFO and CINAHL. |
| doi_str_mv | 10.1016/j.jclinepi.2020.09.031 |
| format | Article |
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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.
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.
Project-specific requirements and resources influence the choice of a specific search filter for PsycINFO and CINAHL.</description><identifier>ISSN: 0895-4356</identifier><identifier>EISSN: 1878-5921</identifier><identifier>DOI: 10.1016/j.jclinepi.2020.09.031</identifier><identifier>PMID: 32987157</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Bibliographic data bases ; Bibliographic databases ; CINAHL ; Databases, Bibliographic - statistics & numerical data ; Design ; Design standards ; Epidemiology ; Filters ; Handbooks ; Humans ; Information processing ; Information professionals ; Information retrieval ; Information storage and retrieval ; Literature reviews ; PsycINFO ; Qualitative Research ; Reproducibility of Results ; Reviews ; Search Engine - methods ; Search filter ; Search strategies ; Searching ; Sensitivity ; Sensitivity and specificity ; Subject heading schemes ; Validation studies</subject><ispartof>Journal of clinical epidemiology, 2020-12, Vol.128, p.101-108</ispartof><rights>2020 The Authors</rights><rights>Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.</rights><rights>2020. The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c444t-13f30c57cf01915a9123842fa3de4239f0b571971154212a49de30927b1c07ee3</citedby><cites>FETCH-LOGICAL-c444t-13f30c57cf01915a9123842fa3de4239f0b571971154212a49de30927b1c07ee3</cites><orcidid>0000-0002-3175-2999</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2462417146?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32987157$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rosumeck, Stefanie</creatorcontrib><creatorcontrib>Wagner, Mandy</creatorcontrib><creatorcontrib>Wallraf, Simon</creatorcontrib><creatorcontrib>Euler, Ulrike</creatorcontrib><title>A validation study revealed differences in design and performance of search filters for qualitative research in PsycINFO and CINAHL</title><title>Journal of clinical epidemiology</title><addtitle>J Clin Epidemiol</addtitle><description>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.
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.
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.
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Academic</collection><jtitle>Journal of clinical epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rosumeck, Stefanie</au><au>Wagner, Mandy</au><au>Wallraf, Simon</au><au>Euler, Ulrike</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A validation study revealed differences in design and performance of search filters for qualitative research in PsycINFO and CINAHL</atitle><jtitle>Journal of clinical epidemiology</jtitle><addtitle>J Clin Epidemiol</addtitle><date>2020-12</date><risdate>2020</risdate><volume>128</volume><spage>101</spage><epage>108</epage><pages>101-108</pages><issn>0895-4356</issn><eissn>1878-5921</eissn><abstract>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.
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.
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.
Project-specific requirements and resources influence the choice of a specific search filter for PsycINFO and CINAHL.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>32987157</pmid><doi>10.1016/j.jclinepi.2020.09.031</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-3175-2999</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Bibliographic data bases Bibliographic databases CINAHL Databases, Bibliographic - statistics & numerical data Design Design standards Epidemiology Filters Handbooks Humans Information processing Information professionals Information retrieval Information storage and retrieval Literature reviews PsycINFO Qualitative Research Reproducibility of Results Reviews Search Engine - methods Search filter Search strategies Searching Sensitivity Sensitivity and specificity Subject heading schemes Validation studies |
| title | A validation study revealed differences in design and performance of search filters for qualitative research in PsycINFO and CINAHL |
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