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Developing Optimal Search Strategies for Detecting Clinically Relevant Qualitative Studies in MEDLINE

机译：开发最佳搜索策略检测临床相关的MEDLINE定性研究

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Background: The growing interest in qualitative research within the evidence based practice framework highlights the need for accurate search strategies to enhance the retrieval of qualitative studies. To date, little work has been done on developing optimal search filters for retrieving qualitative studies. The current study extends our earlier work, on developing optimal search strategies, to include qualitative studies. Objective: To develop optimal search strategies for detecting clinically relevant qualitative studies in MEDLINE in the publishing year 2000. Design: Comparison of the retrieval performance of methodologic search strategies in MEDLINE with a manual review ("gold standard") of each article for each issue of 161 core health care journals for the year 2000. Methods: 6 experienced research assistants who had been trained and intensively calibrated reviewed all issues of 161 journals for the publishing year 2000. Each article was systematically classified for "format" (whether it was an originalstudy, review article, general article, or case report), "interest" (whether or not it was of interest to the health care of humans), and "purpose" (whether it pertained to therapy, diagnosis, prognosis, causation, economics, costs, or clinical prediction; was of a qualitative nature; or was about something else). Search strategies were developed for all purpose categories, including qualitative studies. Main outcome measures: The sensitivity (recall), specificity, precision, and accuracy of single and combinations of search terms. Results: 49,028 articles were identified after matching the hand search records with the data downloaded from MEDLINE, of which 366 (0.75%) were classified as qualitative. Combinations of search terms reached peak sensitivities of 95%. Compared with the best single term, a three-term strategy increased sensitivity for qualitative studies by 23.6% (absolute increase), but with some loss of specificity when sensitivity was maximized. When search terms were combined to optimize sensitivity and specificity, both these values peaked above 90%. Conclusion: Several search strategies can achieve high performance in retrieving qualitative studies from MEDLINE.
机译：背景：在定性研究的循证实践框架内的亮点日益增长的兴趣，需要精确的搜索战略，以提高定性研究的检索。迄今为止，很少工作已经在开发最佳的搜索过滤器用于检索定性研究完成的。目前的研究扩展了我们先前的工作，开发最佳的搜索策略，包括定性研究。目的：建立最佳的搜索策略，在发布2000年设计在MEDLINE检测临床相关的定性研究：在MEDLINE方法学上的搜索策略与人工审查每篇文章的每一个问题（“金标准”）的检索性能比较161种核心保健期刊为2000年方法：谁接受了培训，并深入6名经验丰富的研究助理校准的审查的161种期刊的所有问题为出版2000年每篇文章进行了系统归类为“格式”（它是否是一个originalstudy，评论文章，一般的文章，或病例报告），“兴趣”（它是否是所关心的医疗保健人类）和“目的”（不管它涉及到治疗，诊断，预后，因果关系，经济学，成本，或临床预测，是一个定性的;或者是别的东西）。搜索策略是为所有类别的目的开发的，包括定性研究。主要结果测量：灵敏度（回忆），特异性，精确度和单精度和搜索词的组合。结果：匹配与MEDLINE下载的数据，其中366（0.75％）被列为定性手搜索记录后，我们确定49028篇。搜索术语的结合达到95％的峰值灵敏度。最好的单项相比，三学期战略，23.6％（绝对值增加）增加了定性研究的敏感性，但特异性的一些损失时灵敏度最大化。当搜索项合并，以优化灵敏度和特异性，这两个值在90％以上达到顶峰。结论：一些搜索策略可以实现从Medline检索定性研究高性能。

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