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Developing optimal search strategies for detecting clinically sound studies in MEDLINE
R B Haynes1, N Wilczynski, K A McKibbon
1Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.
Journal of the American Medical Informatics Association : JAMIA
|November 1, 1994
Summary
Developing optimal MEDLINE search strategies significantly improves the retrieval of sound clinical studies. Combining search terms enhances sensitivity and accuracy for etiology, prognosis, diagnosis, and therapy research.
Area of Science:
- Medical Informatics
- Evidence-Based Medicine
- Information Retrieval
Background:
- Effective retrieval of high-quality clinical studies from databases like MEDLINE is crucial for evidence-based practice.
- Developing optimized search strategies is essential to identify relevant and methodologically sound research.
Purpose of the Study:
- To develop and evaluate optimal MEDLINE search strategies for identifying sound clinical studies.
- Focus on studies related to etiology, prognosis, diagnosis, prevention, and treatment in adult general medicine.
Main Methods:
- Conducted an analytic survey of search strategy operating characteristics.
- Evaluated 134,264 unique combinations of search terms against a gold standard of manually reviewed articles.
- Data collected from ten internal medicine and general medicine journals in 1986 and 1991.
Main Results:
- Less than half of studies met basic scientific merit criteria.
- Combined search terms significantly increased sensitivity for sound studies (e.g., 82% for etiology, 99% for therapy in 1991).
- Near-perfect specificity was maintained with modest sensitivity increases, enhancing overall accuracy.
Conclusions:
- Selected combinations of indexing terms and textwords substantially enhance the retrieval of important clinical studies from MEDLINE.
- Optimized search strategies are vital for efficient access to high-quality clinical research.