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., (© 2018 Health Libraries Group.)

Objectives: Health professionals must be able to search competently for evidence to support practice. We sought to understand how palliative care clinicians construct searches for palliative care literature in PubMed, to quantify search efficacy in retrieving a set of relevant articles and to compare performance against a Palliative CareSearch Filter (PCSF)., Methods: Included studies from palliative care systematic reviews formed a test set. Palliative care clinicians (n = 37) completed a search task using PubMed. Individual clinician searches were reconstructed in PubMed and combined with the test set to calculate retrieval sensitivity. PCSF performance in the test set was also determined., Results: Many clinicians struggled to create useful searches. Twelve used a single search term, 17 narrowed the search inappropriately and 8 confused Boolean operators. The mean number of test set citations (n = 663) retrieved was 166 (SD = 188), or 25% although 76% of clinicians believed they would find more than 50% of the articles. Only 8 participants (22%) achieved this. Correlations between retrieval and PubMed confidence (r = 0.13) or frequency of use (r = -0.18) were weak., Conclusions: Many palliative care clinicians search PubMed ineffectively. Targeted skills training and PCSF promotion may improve evidence retrieval., (© 2015 Health Libraries Group.)

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. WHAT IS KNOWN ABOUT THIS TOPIC?: Health professionals, researchers and decision makers can find it difficult to retrieve published literature on Aboriginal and Torres Strait Islander health easily, effectively and in a timely way. WHAT DOES THIS PAPER ADD?: This paper describes a new web-based searching tool, LIt.search, which facilitates access to the relevant literature. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Ready access to published literature on Aboriginal and Torres Strait Islander health reduces a barrier to the use of this evidence in practice. LIt.search encourages the use of this evidence to inform clinical judgement and policy and service decision-making as well as reducing the burdens associated with searching for community practitioners, academics and policy makers.

Background: PubMed translations of OvidSP Medline search filters offer searchers improved ease of access. They may also facilitate access to PubMed's unique content, including citations for the most recently published biomedical evidence. Retrieving this content requires a search strategy comprising natural language terms ('textwords'), rather than Medical Subject Headings (MeSH). We describe a reproducible methodology that uses a validated PubMed search filter translation to create a textword-only strategy to extend retrieval to PubMed's unique heart failure literature., Methods: We translated an OvidSP Medline heart failure search filter for PubMed and established version equivalence in terms of indexed literature retrieval. The PubMed version was then run within PubMed to identify citations retrieved by the filter's MeSH terms (Heart failure, Left ventricular dysfunction, and Cardiomyopathy). It was then rerun with the same MeSH terms restricted to searching on title and abstract fields (i.e. as 'textwords'). Citations retrieved by the MeSH search but not the textword search were isolated. Frequency analysis of their titles/abstracts identified natural language alternatives for those MeSH terms that performed less effectively as textwords. These terms were tested in combination to determine the best performing search string for reclaiming this 'lost set'. This string, restricted to searching on PubMed's unique content, was then combined with the validated PubMed translation to extend the filter's performance in this database., Results: The PubMed heart failure filter retrieved 6829 citations. Of these, 834 (12%) failed to be retrieved when MeSH terms were converted to textwords. Frequency analysis of the 834 citations identified five high frequency natural language alternatives that could improve retrieval of this set (cardiac failure, cardiac resynchronization, left ventricular systolic dysfunction, left ventricular diastolic dysfunction, and LV dysfunction). Together these terms reclaimed 157/834 (18.8%) of lost citations., Conclusions: MeSH terms facilitate precise searching in PubMed's indexed subset. They may, however, work less effectively as search terms prior to subject indexing. A validated PubMed search filter can be used to develop a supplementary textword-only search strategy to extend retrieval to PubMed's unique content. A PubMed heart failure search filter is available on the CareSearch website (http://www.caresearch.com.au) providing access to both indexed and non-indexed heart failure evidence.

Background: Heart failure is a highly debilitating syndrome with a poor prognosis primarily affecting the elderly. Clinicians wanting timely access to heart failure evidence to provide optimal patient care can face many challenges in locating this evidence. This study developed and validated a search filter of high clinical utility for the retrieval of heart failure articles in OvidSP Medline., Methods: A Clinical Advisory Group was established to advise study investigators. The study set of 876 relevant articles from four heart failure clinical practice guidelines was divided into three datasets: a Term Identification Set, a Filter Development Set, and a Filter Validation Set. A further validation set (the Cochrane Validation Set) was formed using studies included in Cochrane heart failure systematic reviews. Candidate search terms were identified via word frequency analysis. The filter was developed by creating combinations of terms and recording their performance in retrieving items from the Filter Development Set. The filter's recall was then validated in both the Filter Validation Set and the Cochrane Validation Set. A precision estimate was obtained post-hoc by running the filter in Medline and screening the first 200 retrievals for relevance to heart failure., Results: The four-term filter achieved a recall of 96.9% in the Filter Development Set; 98.2% in the Filter Validation Set; and 97.8% in the Cochrane Validation Set. Of the first 200 references retrieved by the filter when run in Medline, 150 were deemed relevant and 50 irrelevant. The post-hoc precision estimate was therefore 75%., Conclusions: This study describes an objective method for developing a validated heart failure filter of high recall performance and then testing its precision post-hoc. Clinical practice guidelines were found to be a feasible alternative to hand searching in creating a gold standard for filter development. Guidelines may be especially appropriate given their clinical utility. A validated heart failure filter is now available to support health professionals seeking reliable and efficient access to the heart failure literature.

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]