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Descriptors for unprofessional behaviours of medical students: a systematic review and categorisation

Overview of attention for article published in BMC Medical Education, September 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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1 blog
twitter
21 X users
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1 YouTube creator

Citations

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54 Dimensions

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211 Mendeley
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Title
Descriptors for unprofessional behaviours of medical students: a systematic review and categorisation
Published in
BMC Medical Education, September 2017
DOI 10.1186/s12909-017-0997-x
Pubmed ID
Authors

Marianne Mak-van der Vossen, Walther van Mook, Stéphanie van der Burgt, Joyce Kors, Johannes C.F. Ket, Gerda Croiset, Rashmi Kusurkar

Abstract

Developing professionalism is a core task in medical education. Unfortunately, it has remained difficult for educators to identify medical students' unprofessionalism, because, among other reasons, there are no commonly adopted descriptors that can be used to document students' unprofessional behaviour. This study aimed to generate an overview of descriptors for unprofessional behaviour based on research evidence of real-life unprofessional behaviours of medical students. A systematic review was conducted searching PubMed, Ebsco/ERIC, Ebsco/PsycINFO and Embase.com from inception to 2016. Articles were reviewed for admitted or witnessed unprofessional behaviours of undergraduate medical students. The search yielded 11,963 different studies, 46 met all inclusion criteria. We found 205 different descriptions of unprofessional behaviours, which were coded into 30 different descriptors, and subsequently classified in four behavioural themes: failure to engage, dishonest behaviour, disrespectful behaviour, and poor self-awareness. This overview provides a common language to describe medical students' unprofessional behaviour. The framework of descriptors is proposed as a tool for educators to denominate students' unprofessional behaviours. The found behaviours can have various causes, which should be explored in a discussion with the student about personal, interpersonal and/or institutional circumstances in which the behaviour occurred. Explicitly denominating unprofessional behaviour serves two goals: [i] creating a culture in which unprofessional behaviour is acknowledged, [ii] targeting students who need extra guidance. Both are important to avoid unprofessional behaviour among future doctors.

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X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 211 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 19 9%
Student > Master 17 8%
Student > Bachelor 17 8%
Researcher 16 8%
Other 12 6%
Other 59 28%
Unknown 71 34%
Readers by discipline Count As %
Medicine and Dentistry 74 35%
Nursing and Health Professions 16 8%
Social Sciences 9 4%
Biochemistry, Genetics and Molecular Biology 3 1%
Computer Science 3 1%
Other 26 12%
Unknown 80 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 January 2024.
All research outputs
#1,799,679
of 25,637,545 outputs
Outputs from BMC Medical Education
#212
of 4,031 outputs
Outputs of similar age
#34,144
of 324,131 outputs
Outputs of similar age from BMC Medical Education
#4
of 60 outputs
Altmetric has tracked 25,637,545 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,031 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,131 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.