Development of two search strategies for literature in MEDLINE-PubMed: nursing diagnoses in the context of evidence-based nursing.

Title	Development of two search strategies for literature in MEDLINE-PubMed: nursing diagnoses in the context of evidence-based nursing.
Publication Type	Journal Article
Year of Publication	2005
Authors	Berg A, Fleischer S, Behrens J
Journal	International journal of nursing terminologies and classifications : the official journal of NANDA International
Volume	16
Issue	2
Pagination	26-32
Date Published	2005 Apr-Jun
ISSN	1541-5147
Keywords	Classification; Evidence-Based Medicine; Humans; Information Storage and Retrieval; MEDLINE; Nursing Diagnosis; Terminology as Topic
Abstract	PURPOSE: To develop and validate search filters for MEDLINE via PubMed according to two categories of the NLINKS-EBN matrix. METHODS: The search results of the search filters were compared to a gold standard. FINDINGS: The usage of nursing classification terms for the literature search in evidence-based nursing (EBN) is still limited because taxonomies are neither widely used in nursing literature nor applied for indexing by MEDLINE. The proposed filters achieved a sensitivity of 96% and a specificity of 94% for "secondary data" and a sensitivity of 87% and a specificity of 73% for "diagnostic tests." CONCLUSIONS: The usage of database-specific search filters are a reliable and valid method to search for nursing classification terms in medical databases.
DOI	10.1111/j.1744-618X.2005.00006.x
Alternate Journal	Int J Nurs Terminol Classif