Articlebronze2017

The medline UK filter: development and validation of a geographic search filter to retrieve research about the UK from OVID medline

Lynda Ayiku · Paul Levay · Jenny Craven · Amy Finnegan · Rachel L Adams

79 citations0/0 files storedHealth Information & Libraries Journal

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Meta-analysis and systematic reviews scientometrics and bibliometrics research Information Retrieval and Search Behavior

Abstract

BACKGROUND: A validated geographic search filter for the retrieval of research about the United Kingdom (UK) from bibliographic databases had not previously been published. OBJECTIVES: To develop and validate a geographic search filter to retrieve research about the UK from OVID medline with high recall and precision. METHODS: Three gold standard sets of references were generated using the relative recall method. The sets contained references to studies about the UK which had informed National Institute for Health and Care Excellence (NICE) guidance. The first and second sets were used to develop and refine the medline UK filter. The third set was used to validate the filter. Recall, precision and number-needed-to-read (NNR) were calculated using a case study. RESULTS: The validated medline UK filter demonstrated 87.6% relative recall against the third gold standard set. In the case study, the medline UK filter demonstrated 100% recall, 11.4% precision and a NNR of nine. CONCLUSION: A validated geographic search filter to retrieve research about the UK with high recall and precision has been developed. The medline UK filter can be applied to systematic literature searches in OVID medline for topics with a UK focus.

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References

2004Evaluation of methodological search filters—a review 2002Identifying Diagnostic Studies in MEDLINE: Reducing the Number Needed to Read 2006An alternative to the hand searching gold standard: validating methodological search filters using relative recall 2011Developing a geographic search filter to identify randomised controlled trials in Africa: finding the optimal balance between sensitivity and precision 2008So many filters, so little time: the development of a search filter appraisal checklist

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