Search

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. [ABSTRACT FROM AUTHOR]

Background The evidence base developed by, and relevant to, primary health care (PHC) is rapidly increasing. With the wealth of literature available, searchers trying to find PHC-specific citations can feel overwhelmed. Objectives Flinders Filters and the Primary Health Care Research & Information Service collaborated to develop a search filter enabling efficient and effective retrieval of relevant PHC literature. Methods Stage 1 involved developing a PHC Search Filter in the OvidSP Medline platform using a rigorous experimental methodology. The search filter was then translated for Web-based 'one-click searching' in PubMed during Stage 2. Stage 3 involved planning and implementing a mixed-methods evaluation. Results The search filter sensitivity was 77.0% with a post hoc relevance assessment of 78.3%. Four months after its launch, a mixed-methods study evaluated the PHC Search Filter. With 90 respondents, analysis of data from the online survey demonstrated overarching benefits, a positive response to the tool and directions for further refinement of the PHC Search Filter. Discussion Designing the PHC Search Filter followed an established method that ensures the tool offers a validated search strategy. Evaluation results suggest that the PHC Search Filter is a useful tool that is easy to navigate. Challenges for the Filter relate to access to full text articles, while challenges for the evaluation relate to the small sample size. Conclusions The PHC Search Filter reduces the burden associated with literature searching, increases the value of the results that are received and provides a useful resource to improve the likelihood of incorporating relevant evidence into policy and practice. [ABSTRACT FROM AUTHOR]

Objective. To develop and validate a PubMed search filter, LIt.search, that automatically retrieves Aboriginal and Torres Strait Islander health literature and to make it publicly accessible through the Lowitja Institute website. Methods. Search filter development phases included: (1) scoping of the publication characteristics of Aboriginal and Torres Start Islander literature; (2) advisory group input and review; (3) systematic identification and testing of MeSH and text word terms; (4) relevance assessment of the search filter's retrieved items; and (5) translation for use in PubMed through the web. Results. Scoping study analyses demonstrated complexity in the nature and use of possible search terms and publication characteristics. The search filter achieved a recall rate of 84.8% in the full gold standard test set. To determine real-world performance, post-hoc assessment of items retrieved by the search filter in PubMed was undertaken with 87.2% of articles deemed as relevant. The search filter was constructed as a series of URL hyperlinks to enable one-click searching. Conclusion. LIt.search is a search tool that facilitates research into practice for improving outcomes in Aboriginal and Torres Strait Islander health and is publicly available on the Lowitja Institute website. [ABSTRACT FROM AUTHOR]