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Critical Care
Article . 2016 . Peer-reviewed
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Critical Care
Article . 2018
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Consensus development of core competencies in intensive and critical care medicine training in China

Authors: Yushan Wang; Yuan Xu; Xiaoyun Hu; Haibo Qiu; Xiangyou Yu; Xiuming Xi; Yaoqing Tang; +5 Authors

Consensus development of core competencies in intensive and critical care medicine training in China

Abstract

The aim of this study is to develop consensus on core competencies required for postgraduate training in intensive care medicine.We used a combination of a modified Delphi method and a nominal group technique to create and modify the list of core competencies to ensure maximum consensus. Ideas were generated modified from Competency Based Training in Intensive Care Medicine in Europe collaboration (CoBaTrICE) core competencies. An online survey invited healthcare professionals, educators, and trainees to rate and comment on these competencies. The output from the online survey was edited and then reviewed by a nominal group of 13 intensive care professionals to identify each competence for importance. The resulting list was then recirculated in the nominal group for iterative rating.The online survey yielded a list of 199 competencies for nominal group reviewing. After five rounds of rating, 129 competencies entered the final set defined as core competencies.We have generated a set of core competencies using a consensus technique which can serve as an indicator for training program development.

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Keywords

China, Consensus, Critical Care, Delphi Technique, Education, Medical, Research, Critical Care and Intensive Care Medicine, Surveys and Questionnaires, Workforce, Humans, Clinical Competence, Curriculum, Program Development

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
Green
gold