Miranda Alvet, Miah Shah Jahan
Victoria University Business School, Victoria University, Footscray Park Campus, Footscray, Australia.
J Med Internet Res. 2019 Aug 21;21(8):e12621. doi: 10.2196/12621.
Practicing evidence-based health care is challenging because of overwhelming results presented to practitioners by Google-like Web-scale discovery (WSD) services that index millions of resources while retrieving information based on relevancy algorithms with limited consideration for user information need.
On the basis of the user-oriented theory of information need and following design science principles, this study aimed to develop and evaluate an innovative contextual model for information retrieval from WSD services to improve evidence-based practice (EBP) by health care practitioners.
We identified problems from literature to support real-world requirements for this study. We used design science research methodology to guide artefact design. We iteratively improved prototype of the context model using artificial formative evaluation. 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.
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.
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.
实施循证医疗具有挑战性,因为类似谷歌的网络规模发现(WSD)服务向从业者呈现了大量结果,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,却很少考虑用户的信息需求。
基于以用户为导向的信息需求理论并遵循设计科学原则,本研究旨在开发并评估一种用于从WSD服务中检索信息的创新情境模型,以改善医疗从业者的循证实践(EBP)。
我们从文献中识别问题以支持本研究的实际需求。我们使用设计科学研究方法来指导人工制品设计。我们通过人工形成性评估迭代改进情境模型的原型。我们通过对医疗从业者进行收敛性访谈以及对由健康研究人员组成的验证性焦点小组进行内容分析来进行自然主义总结性评估,以评估该模型的有效性和实用性。
该研究将情境模型迭代设计并应用于WSD服务,以满足5项确定需求。所有接受访谈的5名医疗从业者均发现该人工制品满足这5项需求,从而成功评估该模型具有有效性和实用性。验证性焦点小组的内容分析结果将每项需求的前5个描述符进行了映射,以支持一个真实假设,即参与者之间存在大量讨论,足以证明该人工制品具有有效性和实用性这一结论。
WSD的情境模型满足了所有需求,并在信息检索方面成功进行了评估,以改善循证实践。本研究结果证明有必要对该模型进行进一步研究。