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Topic search filters: a systematic scoping review.

Raechel A Damarell1, Nikki May2, Sue Hammond3

  • 1College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia.

Health Information and Libraries Journal
|December 23, 2018
PubMed
Summary
This summary is machine-generated.

Experimentally developed topic search filters are increasingly available across diverse subjects. However, inconsistent terminology hinders discoverability, suggesting a need for standardized resources and appraisal tools for information specialists.

Keywords:
bibliographic databasesinformation storage and retrievalliterature searchingprecisionrecallreview scoping

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Area of Science:

  • Biomedical Informatics
  • Information Science
  • Library Science

Background:

  • Biomedical database searches face challenges with complex or ill-defined topics.
  • Experimentally derived topic search filters offer a solution for effective information retrieval.
  • The scope and quantity of existing topic search filters are largely unknown.

Purpose of the Study:

  • To systematically identify and describe experimentally developed topic search filters.
  • To provide an overview of the characteristics of available topic search filters.

Main Methods:

  • A systematic scoping review was conducted, searching grey literature and 15 databases for reports from 1990 onwards.
  • Inclusion criteria required reports on the prospective development of database-specific topic searches with objective performance estimates (sensitivity).
  • Data from 54 eligible reports were thematically synthesized to characterize 58 topic search filters.

Main Results:

  • Fifty-four reports met the inclusion criteria for the review.
  • The characteristics of 58 topic search filters were identified and synthesized.
  • Topic search filters cover a wide array of subjects and are proliferating.

Conclusions:

  • Topic search filters are expanding in number and subject coverage.
  • A lack of clear definitions and standardized terminology complicates filter identification and use.
  • A centralized repository and appraisal checklists could aid information specialists in finding and assessing topic search filters.