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

Abstract

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.

Topic search filters: a systematic scoping review

“… Clinical conditions (Damarell, Tieman, Olver, & Currow, ; Damarell, Tieman, Sladek, et al., ; Hayman & Tieman, ; Hildebrand et al., , ; Iansavichus et al., ; Jenuwine & Floyd, ; Li & Lu, ; Shaheem & Tieman, ; Wilczynski & Haynes, ) Clinical disciplines (Brown et al., ; Durão, Kredo, & Volmink, ; Garg et al., ; Gill, Roberts, Wang, & Heneghan, ; Iansavichus et al., ; Jenuwine & Floyd, ; Li & Lu, ; Olaussen, Semple, Oteir, Todd, & Williams, ; Pols, Bramer, Bindels, van de Laar, & Bohnen, ; Sladek, Tieman, Fazekas, Abernethy, & Currow, ; Van de Glind, van Munster, Spijker, Scholten, & Hooft, ) Clinical interventions (Haslinghuis‐Bajan et al., ; Iansavichus et al., ; Kirk, Damarell, Tieman, & Harvey, ; Lee, Iansavichus et al., ) Demography (Hooijmans, Tillema, Leenaars, & Ritskes‐Hoitinga, ; Kastner, Wilczynski, Walker‐Dilks, McKibbon, & Haynes, ; Leclercq, Leeflang, van Dalen, & Kremer, ; Moerman, Deurenberg, & Haafkens, ; Song, Simonsen, Wilson, & Jenkins, ; Stewart et al., ; Tieman, Lawrence, Damarell, Sladek, & Nikolof, ) Geography (Ayiku et al., ; Pienaar, Grobler, Busgeeth, Eisinga, & Siegfried, ; Valderas, Mendivil, Parada, Losada‐Yanez, & Alonso, ) Health care delivery issues (Hempel et al., ; Lokker et al., ; McKibbon et al., ; Mesgarpour, Muller, & Herkner, 2012a, 2012b; Simon, Hausner, Klaus, & Dunton, ; Tanon et al., ; Varela‐Lema, Punal‐Rioboo, Accion, Ruano‐Ravina, & Garcia, ; Wilczynski & Haynes, ) Non‐clinical patient and carer issues (Johnson, Tongbram, Ndirangu, Ogden, & Bay, ; Petrova, Sutcliffe, Fulford, & Dale, ; Rogers, Bethel, & Boddy, ; Selva et al., ; Tieman, Hayman, &a...…”

“…The earliest topic filters appeared in 2001 and were designed to retrieve literature on topics as diverse as gamma camera emission tomography using coincidence imaging and road safety interventions (Haslinghuis‐Bajan et al., ; Wentz et al., ). The four most recently published filters retrieve literature on the United Kingdom (Ayiku et al., ), paramedicine (Olaussen et al., ), patient and public involvement in health research (Rogers et al., ), and patients’ views and preferences (Selva et al., ). More than half of the topic search filters ( n = 32; 59%) were reported in or after 2012.…”

“…These definitions commonly focused on three aspects – what a filter comprises, its purpose, and the rigorous methodology underpinning its development – with the two most comprehensive definitions of the set covering all three (Ayiku et al., ; Petrova et al., ). Filter purpose is generally described as retrieving literature with some common feature (Ayiku et al., ; Damarell, Tieman, Olver, et al., ; Gill et al., ; Hildebrand et al., , ; Rogers et al., ; Stewart et al., ; Tanon et al., ; Tieman et al., ) within a specified database (Ayiku et al., ; Damarell, Tieman, Sladek, et al., ; Hayman & Tieman, ; Hildebrand et al., ; Li & Lu, ; Rogers et al., ; Stewart et al., ; Tanon et al., ; Tieman et al., ; Wilczynski & Haynes, ). Only three reports defined filters in terms of what they do not retrieve, as well as what they should retrieve, introducing the concept of specificity to search effectiveness (Ayiku et al., ; Rogers et al., ; Song et al., ).…”

“…Authors differentiated search ‘filters’ from other types of searches by their rigorous and explicit method of development in 13 of 54 reports (24%). These definitions used terms such as ‘validated’ (Ayiku et al., ; Damarell, Tieman, Olver, et al., ; Damarell, Tieman, Sladek, et al., ; Hayman & Tieman, ; Rogers et al., ), ‘experimentally created’, ‘pre‐tested’, ‘objectively derived’, ‘strategically developed’, ‘evidence‐based’ or ‘research based’ (Brown et al., ; Damarell, Tieman, Sladek, et al., ; Gill et al., ; Hildebrand et al., , ; Olaussen et al., ; Petrova et al., ; Tieman et al., ). A further differentiation was the search filter's known level of performance (Brown et al., ; Damarell, Tieman, Sladek, et al., ; Hayman & Tieman, ).…”

Patient and Public Information delivery through NHS library and knowledge services: how Knowledge for Healthcare changed the landscape

“…From the precision of a message 2 to the precision of information retrieval in Ayiku et al . 's development and validation of a UK geographical search strategy for medline , 3 three gold standard reference sets were generated to develop (sets 1 & 2), refine (sets 1 & 2) and validate (set 3) the geographical filter using an OVID search interface. In the case study presented, the strategy achieved 100% recall, 11.4% precision and a numbers need to retrieve (NNTR) score of nine.…”