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Collating the knowledge base for core outcome set development: developing and appraising the search strategy for a
Elizabeth Gargon1, Paula R Williamson2, Mike Clarke3
1Department of Biostatistics, University of Liverpool, Liverpool, UK. e.gargon@liv.ac.uk.
Developing a comprehensive database for core outcome set development requires an optimal search strategy. MEDLINE alone identified 87% of studies, but combining it with other methods ensures maximum recall for core outcome measures in effectiveness trials.
Area of Science:
- Health Research Methodology
- Information Science
Background:
- The COMET Initiative aims to create a public resource for core outcome set (COS) development.
- Maintaining a comprehensive and up-to-date database is crucial for user value.
- This necessitates an effective, multi-faceted search strategy.
Purpose of the Study:
- To describe the challenges in designing and implementing a search strategy for COS development studies.
- To outline the development process for a COS database search strategy.
- To evaluate the performance of different search strategies and database combinations.
Main Methods:
- Investigated search strategy performance characteristics: sensitivity, precision, and number needed to read.
- Compared the contribution of various databases in identifying relevant studies.
- Assessed the optimal combination of methods for comprehensive study retrieval.
Main Results:
- Recall ranged from 4% to 87%; precision ranged from 0.77% to 1.13%.
- MEDLINE demonstrated the highest recall (87%) and precision.
- Combining MEDLINE with other databases and hand searching was necessary to locate all studies.
Conclusions:
- MEDLINE alone retrieved 87% of studies; 97% were indexed in MEDLINE.
- The Cochrane Methodology Register contributed no unique records.
- Future COMET searches require balancing screening effort with maximizing study identification.
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