Ali Afraz, Mohammadreza Chashmyazdan, Reza Khajouei, Zohreh Bagherinezhad
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引用次数: 0
Abstract
This study explores database selection for systematic reviews in medical informatics, addressing challenges researchers face in maximizing relevant article retrieval. Systematic reviews from top medical informatics journals in 2021 were analyzed, divided into randomized control trials and non-randomized control trials groups. Four databases were evaluated based on Recall, Precision, and Unique references. Findings revealed that for randomized control trials, the best combination was PubMed, Embase, and Web of Science, while for the non-restricted group, recommended combination included PubMed, Embase, Web of Science, and Scopus, highlighting effective literature search strategies.
本研究探讨了医学信息学系统综述的数据库选择，解决了研究人员在最大限度地检索相关文章方面所面临的挑战。研究分析了 2021 年顶级医学信息学期刊中的系统综述，分为随机对照试验组和非随机对照试验组。根据召回率、精确率和唯一参考文献对四个数据库进行了评估。结果显示，对于随机对照试验，最佳组合是PubMed、Embase和Web of Science，而对于非限制组，推荐组合包括PubMed、Embase、Web of Science和Scopus，凸显了有效的文献检索策略。
期刊介绍：
This highly acclaimed, peer-reviewed journal is an essential working tool for medical and health sciences librarians. For those professionals who provide reference and public services to health sciences personnel in clinical, educational, or research settings, Medical Reference Services Quarterly covers topics of current interest and practical value in the areas of reference in medicine and related specialties, the biomedical sciences, nursing, and allied health. This exciting and comprehensive resource regularly publishes brief practice-oriented articles relating to medical reference services, with an emphasis on user education, database searching, and electronic information. Two columns feature the Internet and informatics education.
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