Topic search filters: a systematic scoping review

• Published in: Health information and libraries journal Vol. 36; no. 1; pp. 4 - 40
• Main Authors: Damarell, Raechel A., May, Nikki, Hammond, Sue, Sladek, Ruth M., Tieman, Jennifer J.
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 01.03.2019
• Subjects: bibliographic databases; Databases, Bibliographic; Filtering software; Humans; Identification methods; Information retrieval; Information Services; Information Storage and Retrieval; literature searching; precision; Quality assessment; recall; review scoping; Search Engine - methods; Searches; Searching; Systematic review; Terminology; literature searching; review scoping; information storage and retrieval; precision; recall; bibliographic databases
• ISSN: 1471-1834; 1471-1842; 1471-1842
• DOI: 10.1111/hir.12244

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.