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Identifying the competencies of doctors in China

Overview of attention for article published in BMC Medical Education, November 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Title
Identifying the competencies of doctors in China
Published in
BMC Medical Education, November 2015
DOI 10.1186/s12909-015-0495-y
Pubmed ID
Authors

Li Zhao, Tao Sun, Bao-Zhi Sun, Yu-Hong Zhao, John Norcini, Lincoln Chen

Abstract

China adopted a Flexnerian model as its medical institutions developed over the recent past but the political, social, and economic environment has changed significantly since then. This has generated the need for educational reform, which in other countries, has largely been driven by competencies-oriented models such as those developed in Canada, and the United States. Our study sought to establish the competencies model, relevant to China, which will support educational reform efforts. Data was collected using a cross-sectional survey of 1776 doctors from seven provinces in China. The surveys were translated and adapted from the Occupational Information Network General Work Activity questionnaire (O*NET-GWA) and Work Style questionnaire (O*NET-WS) developed under the auspices of the US Department of Labor. Exploratory factor analysis and confirmatory factor analysis ascertained the latent dimensions of the questionnaires, as well as the factor structures of the competencies model for the Chinese doctors. In exploratory factor analysis, the questionnaires were able to account for 64.25 % of total variance. All responses had high internal consistency and reliability. In confirmatory factor analysis, the loadings of six constructs were between 0.53 ~ 0.89 and were significant, Construct reliability (CR) were between 0.79 ~ 0.93 respectively. The results showed good convergent validity. The resultant models fit the data well (GFI was 0.92, RMSEA was 0.07) and the six-factor competencies framework for Chinese doctors emerged. The Chinese doctors' competencies framework includes six elements: (a) technical procedural skills; (b) diagnosis and management; (c) teamwork and administration; (d) communication; (e) professional behavior; and (f) professional values. These findings are relevant to China, consistent with its current situation, and similar to those developed in other countries.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 2 20%
Student > Master 2 20%
Lecturer 1 10%
Student > Doctoral Student 1 10%
Other 1 10%
Other 2 20%
Unknown 1 10%
Readers by discipline Count As %
Medicine and Dentistry 6 60%
Social Sciences 2 20%
Nursing and Health Professions 1 10%
Unknown 1 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 September 2018.
All research outputs
#6,545,322
of 25,793,330 outputs
Outputs from BMC Medical Education
#1,101
of 4,062 outputs
Outputs of similar age
#91,121
of 395,593 outputs
Outputs of similar age from BMC Medical Education
#11
of 54 outputs
Altmetric has tracked 25,793,330 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,062 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 72% 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 395,593 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 76% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.