Development of a search filter to identify reports of controlled clinical trials within CINAHL Plus
Background Evidence synthesis reviews in health care rely on the efficient identification of research evidence, particularly evidence from randomised controlled trials (RCTs). There are no recently validated filters to identify RCTs in the Cumulative Index to Nursing and Allied Health Literature (CI...
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| Veröffentlicht in: | Health information and libraries journal 2019-03, Vol.36 (1), p.73-90 |
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| container_title | Health information and libraries journal |
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| creator | Glanville, Julie Dooley, Gordon Wisniewski, Susi Foxlee, Ruth Noel‐Storr, Anna |
| description | Background
Evidence synthesis reviews in health care rely on the efficient identification of research evidence, particularly evidence from randomised controlled trials (RCTs). There are no recently validated filters to identify RCTs in the Cumulative Index to Nursing and Allied Health Literature (CINAHL Plus).
Objectives
To develop, test and validate a search filter to identify reports of RCTs from CINAHL Plus.
Methods
Nine sets of relevant and irrelevant records were identified to develop and test search filters iteratively. Two sets were used to validate the sensitivity and precision of the filters. The performance of two previously published filters and the filter built into EBSCOhost was evaluated.
Results
We present a validated filter which offers sensitivity of 0.88 (95% CI: 0.77–0.95) and precision of 0.36 (95% CI: 0.31–0.41). This is comparable to the sensitivity of published filters, but has much better precision.
Conclusions
A sensitive and precise filter, developed using records selected based on title and information, is available for identifying reports of RCTs in the CINAHL Plus database via EBSCOhost. Using this filter is likely to reduce the number of results needing to be screened to a quarter of those retrieved by other published filters. |
| doi_str_mv | 10.1111/hir.12251 |
| format | Article |
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Evidence synthesis reviews in health care rely on the efficient identification of research evidence, particularly evidence from randomised controlled trials (RCTs). There are no recently validated filters to identify RCTs in the Cumulative Index to Nursing and Allied Health Literature (CINAHL Plus).
Objectives
To develop, test and validate a search filter to identify reports of RCTs from CINAHL Plus.
Methods
Nine sets of relevant and irrelevant records were identified to develop and test search filters iteratively. Two sets were used to validate the sensitivity and precision of the filters. The performance of two previously published filters and the filter built into EBSCOhost was evaluated.
Results
We present a validated filter which offers sensitivity of 0.88 (95% CI: 0.77–0.95) and precision of 0.36 (95% CI: 0.31–0.41). This is comparable to the sensitivity of published filters, but has much better precision.
Conclusions
A sensitive and precise filter, developed using records selected based on title and information, is available for identifying reports of RCTs in the CINAHL Plus database via EBSCOhost. Using this filter is likely to reduce the number of results needing to be screened to a quarter of those retrieved by other published filters.</description><identifier>ISSN: 1471-1834</identifier><identifier>EISSN: 1471-1842</identifier><identifier>DOI: 10.1111/hir.12251</identifier><identifier>PMID: 30737884</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>CINAHL ; Clinical trials ; database searching ; Filtering software ; Information retrieval ; Medical research ; precision ; randomised controlled trials (RCT) ; recall ; search strategies ; Searches ; Searching ; Sensitivity analysis</subject><ispartof>Health information and libraries journal, 2019-03, Vol.36 (1), p.73-90</ispartof><rights>2019 Health Libraries Group</rights><rights>2019 Health Libraries Group.</rights><rights>Health Information and Libraries Journal © 2019 Health Libraries Group</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3881-1d8f80972863cfb52ba4dc8880e2b211126062598797798adb6f40489846a0673</citedby><cites>FETCH-LOGICAL-c3881-1d8f80972863cfb52ba4dc8880e2b211126062598797798adb6f40489846a0673</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fhir.12251$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fhir.12251$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,1427,27903,27904,45553,45554,46388,46812</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30737884$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Glanville, Julie</creatorcontrib><creatorcontrib>Dooley, Gordon</creatorcontrib><creatorcontrib>Wisniewski, Susi</creatorcontrib><creatorcontrib>Foxlee, Ruth</creatorcontrib><creatorcontrib>Noel‐Storr, Anna</creatorcontrib><title>Development of a search filter to identify reports of controlled clinical trials within CINAHL Plus</title><title>Health information and libraries journal</title><addtitle>Health Info Libr J</addtitle><description>Background
Evidence synthesis reviews in health care rely on the efficient identification of research evidence, particularly evidence from randomised controlled trials (RCTs). There are no recently validated filters to identify RCTs in the Cumulative Index to Nursing and Allied Health Literature (CINAHL Plus).
Objectives
To develop, test and validate a search filter to identify reports of RCTs from CINAHL Plus.
Methods
Nine sets of relevant and irrelevant records were identified to develop and test search filters iteratively. Two sets were used to validate the sensitivity and precision of the filters. The performance of two previously published filters and the filter built into EBSCOhost was evaluated.
Results
We present a validated filter which offers sensitivity of 0.88 (95% CI: 0.77–0.95) and precision of 0.36 (95% CI: 0.31–0.41). This is comparable to the sensitivity of published filters, but has much better precision.
Conclusions
A sensitive and precise filter, developed using records selected based on title and information, is available for identifying reports of RCTs in the CINAHL Plus database via EBSCOhost. Using this filter is likely to reduce the number of results needing to be screened to a quarter of those retrieved by other published filters.</description><subject>CINAHL</subject><subject>Clinical trials</subject><subject>database searching</subject><subject>Filtering software</subject><subject>Information retrieval</subject><subject>Medical research</subject><subject>precision</subject><subject>randomised controlled trials (RCT)</subject><subject>recall</subject><subject>search strategies</subject><subject>Searches</subject><subject>Searching</subject><subject>Sensitivity analysis</subject><issn>1471-1834</issn><issn>1471-1842</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp10E1LwzAYB_AgipsvB7-ABLzoYVuSps3To8yXDYaK6LmkacoiWTOT1rFvb2bVg2AuCTw__jz5I3RGyZjGM1kaP6aMpXQPDSkXdESBs_3fd8IH6CiEN0KoSAAO0SAhIhEAfIjUjf7Q1q1Xummxq7HEQUuvlrg2ttUetw6bKs5MvcVer51vw44p17TeWasrrKxpjJIWt95IG_DGtEvT4On84Xq2wE-2CyfooI4Tffp9H6PXu9uX6Wy0eLyfT68XIxW3iotWUAPJBYMsUXWZslLySgEA0axk8Z8sIxlLcxC5EDnIqsxqTjjkwDNJMpEco8s-d-3de6dDW6xMUNpa2WjXhYJREIRxQUikF3_om-t8E7fbqYwleZpCVFe9Ut6F4HVdrL1ZSb8tKCl2zRex-eKr-WjPvxO7cqWrX_lTdQSTHmyM1dv_k4rZ_LmP_ATBborI</recordid><startdate>201903</startdate><enddate>201903</enddate><creator>Glanville, Julie</creator><creator>Dooley, Gordon</creator><creator>Wisniewski, Susi</creator><creator>Foxlee, Ruth</creator><creator>Noel‐Storr, Anna</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>E3H</scope><scope>F2A</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>201903</creationdate><title>Development of a search filter to identify reports of controlled clinical trials within CINAHL Plus</title><author>Glanville, Julie ; Dooley, Gordon ; Wisniewski, Susi ; Foxlee, Ruth ; Noel‐Storr, Anna</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3881-1d8f80972863cfb52ba4dc8880e2b211126062598797798adb6f40489846a0673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>CINAHL</topic><topic>Clinical trials</topic><topic>database searching</topic><topic>Filtering software</topic><topic>Information retrieval</topic><topic>Medical research</topic><topic>precision</topic><topic>randomised controlled trials (RCT)</topic><topic>recall</topic><topic>search strategies</topic><topic>Searches</topic><topic>Searching</topic><topic>Sensitivity analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Glanville, Julie</creatorcontrib><creatorcontrib>Dooley, Gordon</creatorcontrib><creatorcontrib>Wisniewski, Susi</creatorcontrib><creatorcontrib>Foxlee, Ruth</creatorcontrib><creatorcontrib>Noel‐Storr, Anna</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Health information and libraries journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Glanville, Julie</au><au>Dooley, Gordon</au><au>Wisniewski, Susi</au><au>Foxlee, Ruth</au><au>Noel‐Storr, Anna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of a search filter to identify reports of controlled clinical trials within CINAHL Plus</atitle><jtitle>Health information and libraries journal</jtitle><addtitle>Health Info Libr J</addtitle><date>2019-03</date><risdate>2019</risdate><volume>36</volume><issue>1</issue><spage>73</spage><epage>90</epage><pages>73-90</pages><issn>1471-1834</issn><eissn>1471-1842</eissn><abstract>Background
Evidence synthesis reviews in health care rely on the efficient identification of research evidence, particularly evidence from randomised controlled trials (RCTs). There are no recently validated filters to identify RCTs in the Cumulative Index to Nursing and Allied Health Literature (CINAHL Plus).
Objectives
To develop, test and validate a search filter to identify reports of RCTs from CINAHL Plus.
Methods
Nine sets of relevant and irrelevant records were identified to develop and test search filters iteratively. Two sets were used to validate the sensitivity and precision of the filters. The performance of two previously published filters and the filter built into EBSCOhost was evaluated.
Results
We present a validated filter which offers sensitivity of 0.88 (95% CI: 0.77–0.95) and precision of 0.36 (95% CI: 0.31–0.41). This is comparable to the sensitivity of published filters, but has much better precision.
Conclusions
A sensitive and precise filter, developed using records selected based on title and information, is available for identifying reports of RCTs in the CINAHL Plus database via EBSCOhost. Using this filter is likely to reduce the number of results needing to be screened to a quarter of those retrieved by other published filters.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>30737884</pmid><doi>10.1111/hir.12251</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1471-1834 |
| ispartof | Health information and libraries journal, 2019-03, Vol.36 (1), p.73-90 |
| issn | 1471-1834 1471-1842 |
| language | eng |
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| source | Wiley Online Library Journals Frontfile Complete; Wiley Online Library Free Content |
| subjects | CINAHL Clinical trials database searching Filtering software Information retrieval Medical research precision randomised controlled trials (RCT) recall search strategies Searches Searching Sensitivity analysis |
| title | Development of a search filter to identify reports of controlled clinical trials within CINAHL Plus |
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