Wong Sharon S-L, Wilczynski Nancy L, Haynes R Brian
Health Information Research Unit, McMaster University, Hamilton, Ontario, Canada.
Stud Health Technol Inform. 2004;107(Pt 1):311-6.
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.
To develop optimal search strategies for detecting clinically relevant qualitative studies in MEDLINE in the publishing year 2000.
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.
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 original study, 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.
The sensitivity (recall), specificity, precision, and accuracy of single and combinations of search terms.
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%.
Several search strategies can achieve high performance in retrieving qualitative studies from MEDLINE.
循证实践框架内对定性研究的兴趣日益浓厚,这凸显了需要精准的检索策略以提高定性研究的检索效率。迄今为止,在开发用于检索定性研究的最佳检索过滤器方面所做的工作甚少。当前的研究扩展了我们早期在开发最佳检索策略方面的工作,将定性研究纳入其中。
为在2000年发表的MEDLINE数据库中检测临床相关的定性研究制定最佳检索策略。
将MEDLINE中方法学检索策略的检索性能与对2000年161种核心医疗保健期刊各期每篇文章进行人工审阅(“金标准”)的结果进行比较。
6名经过培训且经过严格校准的经验丰富的研究助理审阅了2000年161种期刊的所有期次。每篇文章都被系统地分类为“格式”(是原创研究、综述文章、一般文章还是病例报告)、“兴趣度”(是否与人类医疗保健相关)和“目的”(是否涉及治疗、诊断、预后、病因、经济学、成本或临床预测;是否具有定性性质;或其他内容)。针对所有目的类别制定了检索策略,包括定性研究。
单个检索词及组合检索词的敏感度(召回率)、特异度、精准度和准确度。
将手工检索记录与从MEDLINE下载的数据匹配后,共识别出49,028篇文章,其中366篇(0.75%)被归类为定性研究。检索词组合的敏感度峰值达到95%。与最佳单个检索词相比,三项检索策略使定性研究的敏感度提高了23.6%(绝对增幅),但在敏感度最大化时特异度有所下降。当检索词组合以优化敏感度和特异度时,这两个值均在90%以上达到峰值。
几种检索策略在从MEDLINE中检索定性研究方面可实现高性能。