An overview of the design and methods for retrieving high-quality studies for clinical care.

An overview of the design and methods for retrieving high-quality studies for clinical care.
复制标题

DOI:
10.1186/1472-6947-5-20
复制
发表时间:
2005-06-21
影响因子:
3.5
通讯作者:
Haynes, R Brian
Haynes, R Brian
中科院分区:
医学3区
文献类型:
--
作者:
Wilczynski, Nancy L;Morgan, Douglas;Haynes, R Brian

文献摘要

被引文献

相似文献

背景技术背景:随着信息爆炸,从大型通用书目数据库(如MEDLINE)中检索最佳临床证据可能很困难。进行系统评价的研究人员和面临患者护理问题的临床医生都面临着在电子数据库中搜索最佳医学文献的艰巨任务。许多人主张使用搜索过滤器或“模糊限制”来协助搜索过程。本报告的目的是描述一项研究的设计和方法,该研究旨在开发用于在大型电子数据库中检索健康疾病临床研究的最佳检索策略。目的:描述一项研究的设计和方法,该研究旨在开发用于在大型电子数据库中检索健康疾病临床研究的最佳检索策略。设计:对2000年170种期刊手工检索与MEDLINE、EMBASE、CINAHL和PsycINFO检索的候选检索词和组合进行比较的分析调查。的灵敏度,特异性,精密度和准确性的独特的搜索条件和组合的搜索terms calculated.CONCLUSION:一个研究设计建模后的诊断测试程序与金标准(手搜索的文献)和测试(搜索条件)是一种有效的方式开发,测试和验证搜索策略,用于大型电子数据库。
BACKGROUND: With the information explosion, the retrieval of the best clinical evidence from large, general purpose, bibliographic databases such as MEDLINE can be difficult. Both researchers conducting systematic reviews and clinicians faced with a patient care question are confronted with the daunting task of searching for the best medical literature in electronic databases. Many have advocated the use of search filters or "hedges" to assist with the searching process. The purpose of this report is to describe the design and methods of a study that set out to develop optimal search strategies for retrieving sound clinical studies of health disorders in large electronics databases.OBJECTIVE: To describe the design and methods of a study that set out to develop optimal search strategies for retrieving sound clinical studies of health disorders in large electronic databases.DESIGN: An analytic survey comparing hand searches of 170 journals in the year 2000 with retrievals from MEDLINE, EMBASE, CINAHL, and PsycINFO for candidate search terms and combinations. The sensitivity, specificity, precision, and accuracy of unique search terms and combinations of search terms were calculated.CONCLUSION: A study design modeled after a diagnostic testing procedure with a gold standard (the hand search of the literature) and a test (the search terms) is an effective way of developing, testing, and validating search strategies for use in large electronic databases.