Institute for Quality Assurance and Transparency in Healthcare (IQTIG), Katharina-Heinroth-Ufer 1, 10787 Berlin, Germany.
Institute for Quality Assurance and Transparency in Healthcare (IQTIG), Katharina-Heinroth-Ufer 1, 10787 Berlin, Germany.
J Clin Epidemiol. 2020 Dec;128:101-108. doi: 10.1016/j.jclinepi.2020.09.031. Epub 2020 Sep 26.
Search filters can support qualitative evidence of information retrieval. Various search filters are available for the bibliographic databases PsycINFO and CINAHL. To date, no comparative overview of validation results of search filters verified with an independent gold standard exists.
Identified search filters for PsycINFO and CINAHL were tested for plausibility. Gold standards were generated according to the relative recall approach using references included in an overview of systematic reviews of qualitative studies. All included references were collected and checked for indexing in PsycINFO and CINAHL. Validation tests for each search filter were conducted in both databases to determine whether the references of the gold standards could be retrieved or not.
Twelve search filters for PsycINFO and fifteen for CINAHL were validated. The complexity and design of these search filters vary, as well as the validation results for the databases. When locating primary studies of qualitative research, the best sensitivity and precision ratio (among filters with a sensitivity of >80%) was achieved with a filter by McKibbon et al. for PsycINFO and a filter by Wilczynski et al. for CINAHL.
Project-specific requirements and resources influence the choice of a specific search filter for PsycINFO and CINAHL.
搜索过滤器可以支持信息检索的定性证据。PsycINFO 和 CINAHL 这两个书目数据库都有各种搜索过滤器可供使用。迄今为止，尚无针对经过独立金标准验证的搜索过滤器的验证结果的比较性概述。
对 PsycINFO 和 CINAHL 的已识别搜索过滤器进行了合理性测试。金标准是根据相对召回率方法生成的，该方法使用定性研究系统综述中的参考文献。收集了所有包含的参考文献，并在 PsycINFO 和 CINAHL 中检查了它们的索引情况。在两个数据库中对每个搜索过滤器进行了验证测试，以确定是否可以检索到金标准的参考文献。
对 12 个用于 PsycINFO 的搜索过滤器和 15 个用于 CINAHL 的搜索过滤器进行了验证。这些搜索过滤器的复杂性和设计各不相同，并且数据库的验证结果也各不相同。在定位定性研究的原始研究时，对于灵敏度>80%的过滤器，McKibbon 等人的过滤器在 PsycINFO 中以及 Wilczynski 等人的过滤器在 CINAHL 中达到了最佳的灵敏度和精度比。
项目特定的要求和资源会影响在 PsycINFO 和 CINAHL 中选择特定搜索过滤器的决策。
