Literature DB >> 15318913

Evaluation of methodological search filters--a review.

Michelle Jenkins1.   

Abstract

OBJECTIVES: The objectives of the study were: to provide an overview of approaches to methodological search filter development; to identify and critically review the stages of methodological search filter development; to devise a search filter appraisal checklist based on the review.
METHODS: An iterative approach to searching was employed utilizing health and library databases, the world wide web and citation searching. Further systematic methods included hand searching of key journals in the field of search filter development, contacting known experts in the field and scanning reference lists of relevant papers to identify additional studies. Altogether, 51 potentially relevant papers were found, of which 20 met the inclusion criteria.
RESULTS: Four stages of search filter development were identified from the literature (search term selection, identification of a gold standard, evaluation and validation). Variations in the methods used to approach these four stages were identified, most importantly in the extent to which search filters are tested and validated.
CONCLUSION: Awareness of the process and limitations involved in search filter development is essential to make an informed decision on the applicability and validity of search filters. The findings of this review indicate a considerable agenda for future research, in particular, to improve the quality of reporting of search filters and to inform users on their use and application. Based on the review, guidance in the appraisal process of search filters is given in the form of a checklist.

Mesh:

Year:  2004        PMID: 15318913     DOI: 10.1111/j.1471-1842.2004.00511.x

Source DB:  PubMed          Journal:  Health Info Libr J        ISSN: 1471-1834


  53 in total

1.  Impact of PubMed search filters on the retrieval of evidence by physicians.

Authors:  Salimah Z Shariff; Jessica M Sontrop; R Brian Haynes; Arthur V Iansavichus; K Ann McKibbon; Nancy L Wilczynski; Matthew A Weir; Mark R Speechley; Amardeep Thind; Amit X Garg
Journal:  CMAJ       Date:  2012-01-16       Impact factor: 8.262

2.  Evaluating the impact of MEDLINE filters on evidence retrieval: study protocol.

Authors:  Salimah Z Shariff; Meaghan S Cuerden; R Brian Haynes; K Ann McKibbon; Nancy L Wilczynski; Arthur V Iansavichus; Mark R Speechley; Amardeep Thind; Amit X Garg
Journal:  Implement Sci       Date:  2010-07-20       Impact factor: 7.327

3.  A comparison of citation metrics to machine learning filters for the identification of high quality MEDLINE documents.

Authors:  Yindalon Aphinyanaphongs; Alexander Statnikov; Constantin F Aliferis
Journal:  J Am Med Inform Assoc       Date:  2006-04-18       Impact factor: 4.497

4.  Developing optimal search strategies for detecting clinically sound treatment studies in EMBASE.

Authors:  Sharon S-L Wong; Nancy L Wilczynski; R Brian Haynes
Journal:  J Med Libr Assoc       Date:  2006-01

5.  Managing database overlap in systematic reviews using Batch Citation Matcher: case studies using Scopus.

Authors:  Margaret Sampson; Jessie McGowan; Elise Cogo; Tanya Horsley
Journal:  J Med Libr Assoc       Date:  2006-10

6.  Development of a subject search filter to find information relevant to palliative care in the general medical literature.

Authors:  Ruth Sladek; Jennifer Tieman; Belinda S Fazekas; Amy P Abernethy; David C Currow
Journal:  J Med Libr Assoc       Date:  2006-10

Review 7.  Search strategies to identify information on adverse effects: a systematic review.

Authors:  Su Golder; Yoon Loke
Journal:  J Med Libr Assoc       Date:  2009-04

8.  So many filters, so little time: the development of a search filter appraisal checklist.

Authors:  Julie Glanville; Sue Bayliss; Andrew Booth; Yenal Dundar; Hasina Fernandes; Nigel David Fleeman; Louise Foster; Cynthia Fraser; Anne Fry-Smith; Su Golder; Carol Lefebvre; Caroline Miller; Suzy Paisley; Liz Payne; Alison Price; Karen Welch
Journal:  J Med Libr Assoc       Date:  2008-10

9.  Evaluation of PubMed filters used for evidence-based searching: validation using relative recall.

Authors:  Arjen Hoogendam; Pieter F de Vries Robbé; Anton F H Stalenhoef; A John P M Overbeke
Journal:  J Med Libr Assoc       Date:  2009-07

10.  Locating sex-specific evidence on clinical questions in MEDLINE: a search filter for use on OvidSP.

Authors:  Clara J Moerman; Rikie Deurenberg; Joke A Haafkens
Journal:  BMC Med Res Methodol       Date:  2009-04-14       Impact factor: 4.615

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