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Classifying health questions asked by the public using the ICPC-2 classification and a taxonomy of generic clinical questions: an empirical exploration of the feasibility.

机译:使用ICPC-2分类和一般临床问题分类法对公众提出的健康问题进行分类:对可行性的实证探索。

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In case of an overload of information, structure is needed to make the content of the information accessible and the information flow well-ordered. If we wish to gain insight into the health information needs of the public, a specific research tool is needed. The aim of this study was to investigate the feasibility of using two professional classification structures for medical information to classify health questions asked by the public: one classification for the subject of the question, the International Classification of Primary Care (ICPC-2), and one classification for the nature and type of the question, the Taxonomy for Generic Clinical Questions (TGCQ). Health questions asked during online consultations with health care providers were retrieved (452 subjects for coding) and were given two codes: one code according to the ICPC-2 and one according to the TGCQ. The problems encountered during coding were recorded and analyzed. Nine different clusters of problems arose during classification with the ICPC-2, including issues regarding specificity, lay versus professional terminology, a combination of diverse complaints not complying with a clinical syndrome, and preclinical issues. Nine types of problems were encountered during the classification with the TGCQ: questions about preclinical issues, preventive procedures, name finding, health promotion, where to go for a diagnostic test or therapy, justification of the choice of a test or treatment, and common knowledge. The results of this study are promising, and further investigation of the validity, reliability, and use of these two classification systems to classify health questions asked by the public is desirable. The problems that were encountered should be solved before these professional systems can be used to classify the health information needs of the general public.
机译:在信息过载的情况下,需要使信息内容可访问且信息流井然有序的结构。如果我们希望深入了解公众的健康信息需求,则需要一种特定的研究工具。这项研究的目的是调查使用两种专业的医学信息分类结构对公众提出的健康问题进行分类的可行性:一种针对问题主题的分类,即国际初级保健分类(ICPC-2),以及一种针对问题的性质和类型的分类,即通用临床问题分类法(TGCQ)。检索了与卫生保健提供者进行在线咨询时提出的健康问题(有452个编码主题),并给出了两个代码:一个是根据ICPC-2编写的代码,另一个是根据TGCQ编写的代码。记录并分析了编码过程中遇到的问题。在ICPC-2分类过程中出现了九个不同的问题类别,包括有关特异性,外行与专业术语的问题,各种不符合临床症状的投诉以及临床前问题的组合。在使用TGCQ进行分类时遇到了九种类型的问题:有关临床前问题,预防程序,名称查找,健康促进,诊断测试或治疗的去向,选择测试或治疗的理由以及常识的问题。这项研究的结果是有希望的,并且进一步研究有效性,可靠性以及使用这两种分类系统对公众提出的健康问题进行分类的研究是可取的。在使用这些专业系统对公众的健康信息需求进行分类之前,应解决所遇到的问题。

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