Abstract
Qualitative researchers address many issues relevant to patient health care. Their studies appear in an array of journals, making literature searching difficult. Large databases such as EMBASE provide a means of retrieving qualitative research, but these studies represent only a minuscule fraction of published articles, making electronic retrieval problematic. Little work has been done on developing search strategies for the detection of qualitative studies. The objective of this study was to develop optimal search strategies to retrieve qualitative studies in EMBASE for the 2000 publishing year. The authors conducted an analytic survey, comparing hand searches of journals with retrievals from EMBASE for candidate search terms and combinations. Search strategies reached peak sensitivities at 94.2% and peak specificities of 99.7%. Combining search terms to optimize the combination of sensitivity and specificity resulted in values over 89% for both. The authors identified search strategies with high performance for retrieving qualitative studies in EMBASE.
Keywords
Qualitative researchMEDLINEInformation retrievalComputer scienceQualitative propertyMedicineData scienceMachine learningSociologySocial scienceBiology
MeSH Terms
Database Management SystemsInformation Storage and RetrievalUnited States
Affiliated Institutions
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Publication Info
- Year
- 2005
- Type
- article
- Volume
- 16
- Issue
- 1
- Pages
- 162-168
- Citations
- 98
- Access
- Closed
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Cite This
Leslie A. Walters,
Nancy L Wilczynski,
R. Brian Haynes
(2005).
Developing Optimal Search Strategies for Retrieving Clinically Relevant Qualitative Studies in EMBASE.
Qualitative Health Research
, 16
(1)
, 162-168.
https://doi.org/10.1177/1049732305284027
Identifiers
- DOI
- 10.1177/1049732305284027
- PMID
- 16317183