Topic search filters: a systematic scoping review. (21st December 2018)

• Record Type: Journal Article
• Authors: Damarell, Raechel A.; May, Nikki; Hammond, Sue; Sladek, Ruth M.; Tieman, Jennifer J.
• Is Part Of: Health information and libraries journal. Volume 36:Number 1(2019:Mar.)
• Page Start: 4
• Page End: 40
• Publication Date: 2018-12-21
• Subjects: bibliographic databases -- information storage and retrieval -- literature searching -- precision -- recall -- review scoping; Medical libraries -- Periodicals; Public health libraries -- Periodicals; Life sciences libraries -- Periodicals; Medical libraries -- Great Britain -- Periodicals; Public health libraries -- Great Britain -- Periodicals; Information science -- Periodicals; 026.61094105
• DOI: 10.1111/hir.12244
• Languages: English
• ISSNs: 1471-1834

Abstract

Abstract: Background: Searching for topics within large biomedical databases can be challenging, especially when topics are complex, diffuse, emerging or lack definitional clarity. Experimentally derived topic search filters offer a reliable solution to effective retrieval; however, their number and range of subject foci remain unknown. Objectives: This systematic scoping review aims to identify and describe available experimentally developed topic search filters. Methods: Reports on topic search filter development (1990‐) were sought using grey literature sources and 15 databases. Reports describing the conception and prospective development of a database‐specific topic search and including an objectively measured estimate of its performance ('sensitivity') were included. Results: Fifty‐four reports met inclusion criteria. Data were extracted and thematically synthesised to describe the characteristics of 58 topic search filters. Discussion: Topic search filters are proliferating and cover a wide range of subjects. Filter reports, however, often lack clear definitions of concepts and topic scope to guide users. Without standardised terminology, filters are challenging to find. Information specialists may benefit from a centralised topic filter repository and appraisal checklists to facilitate quality assessment. Conclusion: Findings will help information specialists identify existing topic search filters and assist filter developers to build on current knowledge in the field.