@文章{信息:doi/10.2196/12621，作者=“Miranda, Alvet and Miah, Shah Jahan”，标题=“基于web规模发现服务的信息检索上下文模型的设计与评价:混合方法研究”，期刊=“J Med Internet Res”，年=“2019”，月=“8”，日=“21”，卷=“21”，号=“8”，页=“e12621”，关键词=“信息检索”;设计科学研究;网络级发现;循证实践;数字图书馆;背景:实践基于证据的医疗保健是具有挑战性的，因为类似google的web规模发现(WSD)服务为从业者提供了压倒性的结果，这些服务索引了数百万资源，同时基于相关性算法检索信息，对用户信息需求的考虑有限。目的:以用户为导向的信息需求理论为基础，遵循设计科学原则，开发并评价一种创新的信息检索上下文模型，以提高卫生保健从业人员的循证实践水平。方法:我们从文献中找出问题，以支持本研究的现实需求。我们运用设计科学的研究方法来指导人工制品的设计。我们使用人工形成性评价迭代地改进了上下文模型的原型。 We performed naturalistic summative evaluation using convergent interviewing of health care practitioners and content analysis from a confirmatory focus group consisting of health researchers to evaluate the model's validity and utility. Results: The study iteratively designed and applied the context model to a WSD service to meet 5 identified requirements. All 5 health care practitioners interviewed found the artefact satisfied the 5 requirements to successfully evaluate the model as having validity and utility. Content analysis results from the confirmatory focus group mapped top 5 descriptors per requirement to support a true hypothesis that there is significant discussion among participants to justify concluding that the artefact had validity and utility. Conclusions: The context model for WSD satisfied all requirements and was evaluated successfully for information retrieval to improve EBP. Outcomes from this study justify further research into the model. ", issn="1438-8871", doi="10.2196/12621", url="//www.mybigtv.com/2019/8/e12621/", url="https://doi.org/10.2196/12621", url="http://www.ncbi.nlm.nih.gov/pubmed/31436167" }