Cargando…

Optimal search strategies for detecting cost and economic studies in EMBASE

BACKGROUND: Economic evaluations in the medical literature compare competing diagnosis or treatment methods for their use of resources and their expected outcomes. The best evidence currently available from research regarding both cost and economic comparisons will continue to expand as this type of...

Descripción completa

Detalles Bibliográficos
Autores principales: McKinlay, R James, Wilczynski, Nancy L, Haynes, R Brian
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1526429/
https://www.ncbi.nlm.nih.gov/pubmed/16756662
http://dx.doi.org/10.1186/1472-6963-6-67
_version_ 1782128894899388416
author McKinlay, R James
Wilczynski, Nancy L
Haynes, R Brian
author_facet McKinlay, R James
Wilczynski, Nancy L
Haynes, R Brian
author_sort McKinlay, R James
collection PubMed
description BACKGROUND: Economic evaluations in the medical literature compare competing diagnosis or treatment methods for their use of resources and their expected outcomes. The best evidence currently available from research regarding both cost and economic comparisons will continue to expand as this type of information becomes more important in today's clinical practice. Researchers and clinicians need quick, reliable ways to access this information. A key source of this type of information is large bibliographic databases such as EMBASE. The objective of this study was to develop search strategies that optimize the retrieval of health costs and economics studies from EMBASE. METHODS: We conducted an analytic survey, comparing hand searches of journals with retrievals from EMBASE for candidate search terms and combinations. 6 research assistants read all issues of 55 journals indexed by EMBASE for the publishing year 2000. We rated all articles using purpose and quality indicators and categorized them into clinically relevant original studies, review articles, general papers, or case reports. The original and review articles were then categorized for purpose (i.e., cost and economics and other clinical topics) and depending on the purpose as 'pass' or 'fail' for methodologic rigor. Candidate search strategies were developed for economic and cost studies, then run in the 55 EMBASE journals, the retrievals being compared with the hand search data. The sensitivity, specificity, precision, and accuracy of the search strategies were calculated. RESULTS: Combinations of search terms for detecting both cost and economic studies attained levels of 100% sensitivity with specificity levels of 92.9% and 92.3% respectively. When maximizing for both sensitivity and specificity, the combination of terms for detecting cost studies (sensitivity) increased 2.2% over the single term but at a slight decrease in specificity of 0.9%. The maximized combination of terms for economic studies saw no change in sensitivity from the single term and only a 0.1% increase in specificity. CONCLUSION: Selected terms have excellent performance in the retrieval of studies of health costs and economics from EMBASE.
format Text
id pubmed-1526429
institution National Center for Biotechnology Information
language English
publishDate 2006
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-15264292006-08-03 Optimal search strategies for detecting cost and economic studies in EMBASE McKinlay, R James Wilczynski, Nancy L Haynes, R Brian BMC Health Serv Res Research Article BACKGROUND: Economic evaluations in the medical literature compare competing diagnosis or treatment methods for their use of resources and their expected outcomes. The best evidence currently available from research regarding both cost and economic comparisons will continue to expand as this type of information becomes more important in today's clinical practice. Researchers and clinicians need quick, reliable ways to access this information. A key source of this type of information is large bibliographic databases such as EMBASE. The objective of this study was to develop search strategies that optimize the retrieval of health costs and economics studies from EMBASE. METHODS: We conducted an analytic survey, comparing hand searches of journals with retrievals from EMBASE for candidate search terms and combinations. 6 research assistants read all issues of 55 journals indexed by EMBASE for the publishing year 2000. We rated all articles using purpose and quality indicators and categorized them into clinically relevant original studies, review articles, general papers, or case reports. The original and review articles were then categorized for purpose (i.e., cost and economics and other clinical topics) and depending on the purpose as 'pass' or 'fail' for methodologic rigor. Candidate search strategies were developed for economic and cost studies, then run in the 55 EMBASE journals, the retrievals being compared with the hand search data. The sensitivity, specificity, precision, and accuracy of the search strategies were calculated. RESULTS: Combinations of search terms for detecting both cost and economic studies attained levels of 100% sensitivity with specificity levels of 92.9% and 92.3% respectively. When maximizing for both sensitivity and specificity, the combination of terms for detecting cost studies (sensitivity) increased 2.2% over the single term but at a slight decrease in specificity of 0.9%. The maximized combination of terms for economic studies saw no change in sensitivity from the single term and only a 0.1% increase in specificity. CONCLUSION: Selected terms have excellent performance in the retrieval of studies of health costs and economics from EMBASE. BioMed Central 2006-06-06 /pmc/articles/PMC1526429/ /pubmed/16756662 http://dx.doi.org/10.1186/1472-6963-6-67 Text en Copyright © 2006 McKinlay et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
McKinlay, R James
Wilczynski, Nancy L
Haynes, R Brian
Optimal search strategies for detecting cost and economic studies in EMBASE
title Optimal search strategies for detecting cost and economic studies in EMBASE
title_full Optimal search strategies for detecting cost and economic studies in EMBASE
title_fullStr Optimal search strategies for detecting cost and economic studies in EMBASE
title_full_unstemmed Optimal search strategies for detecting cost and economic studies in EMBASE
title_short Optimal search strategies for detecting cost and economic studies in EMBASE
title_sort optimal search strategies for detecting cost and economic studies in embase
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1526429/
https://www.ncbi.nlm.nih.gov/pubmed/16756662
http://dx.doi.org/10.1186/1472-6963-6-67
work_keys_str_mv AT mckinlayrjames optimalsearchstrategiesfordetectingcostandeconomicstudiesinembase
AT wilczynskinancyl optimalsearchstrategiesfordetectingcostandeconomicstudiesinembase
AT haynesrbrian optimalsearchstrategiesfordetectingcostandeconomicstudiesinembase
AT optimalsearchstrategiesfordetectingcostandeconomicstudiesinembase