Abstract
BackgroundThis study aimed to identify hotspots in research on clinical competence measurements from 2012 to 2016.MethodsThe authors retrieved literature published between 2012 and 2016 from PubMed using selected medical subject headings (MeSH) terms. They used BibExcel software to generate high-frequency MeSH terms and identified hotspots by co-word analysis and cluster analysis.ResultsThe authors searched 588 related articles and identified 31 high-frequency MeSH terms. In addition, they obtained 6 groups of high-frequency MeSH terms that reflected the domain hotspots.ConclusionsThis study identified 6 hotspots of domain research, including studies on influencing factors and perception evaluation, improving and developing measurement tools, feedback measurement, measurement approaches based on computer simulation, the measurement of specific students in different learning phases, and the measurement of students’ communication ability. All of these research topics could provide useful information for educators and researchers to continually conduct in-depth studies.
Highlights
This study aimed to identify hotspots in research on clinical competence measurements from 2012 to 2016
The results derived from a co-word analysis based on medical subject headings (MeSH) terms are more reliable and reasonable than those obtained using keywords
Each MeSH term appeared an average of 6.75 times in the retrieved articles
Summary
This study aimed to identify hotspots in research on clinical competence measurements from 2012 to 2016. The measure used to evaluate this capability remains a key point of concern, and this study domain is currently a major theme in the field of medical education [1,2,3]. Co-word analysis is a type of quantitative analysis that reflects the content of publications by analyzing the frequencies and relationships of co-words. If two keywords expressing particular research subjects appear in the same article, there may be a certain intrinsic relationship between the two keywords. The more frequently the two keywords occur in the same publications, the closer is the relationship between the words and the more popular are the research subjects reflected by the two keywords.
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