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How do physicians become medical experts? A test of three competing theories: distinct domains, independent influence and encapsulation models

Overview of attention for article published in Advances in Health Sciences Education, July 2017
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Title
How do physicians become medical experts? A test of three competing theories: distinct domains, independent influence and encapsulation models
Published in
Advances in Health Sciences Education, July 2017
DOI 10.1007/s10459-017-9784-z
Pubmed ID
Authors

Claudio Violato, Hong Gao, Mary Claire O’Brien, David Grier, E Shen

Abstract

The distinction between basic sciences and clinical knowledge which has led to a theoretical debate on how medical expertise is developed has implications for medical school and lifelong medical education. This longitudinal, population based observational study was conducted to test the fit of three theories-knowledge encapsulation, independent influence, distinct domains-of the development of medical expertise employing structural equation modelling. Data were collected from 548 physicians (292 men-53.3%; 256 women-46.7%; mean age = 24.2 years on admission) who had graduated from medical school 2009-2014. They included (1) Admissions data of undergraduate grade point average and Medical College Admission Test sub-test scores, (2) Course performance data from years 1, 2, and 3 of medical school, and (3) Performance on the NBME exams (i.e., Step 1, Step 2 CK, and Step 3). Statistical fit indices (Goodness of Fit Index-GFI; standardized root mean squared residual-SRMR; root mean squared error of approximation-RSMEA) and comparative fit [Formula: see text] of three theories of cognitive development of medical expertise were used to assess model fit. There is support for the knowledge encapsulation three factor model of clinical competency (GFI = 0.973, SRMR = 0.043, RSMEA = 0.063) which had superior fit indices to both the independent influence and distinct domains theories ([Formula: see text] vs [Formula: see text] [[Formula: see text]] vs [Formula: see text] [[Formula: see text]], respectively). The findings support a theory where basic sciences and medical aptitude are direct, correlated influences on clinical competency that encapsulates basic knowledge.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Student > Master 5 11%
Lecturer > Senior Lecturer 4 9%
Researcher 3 7%
Student > Doctoral Student 2 5%
Other 6 14%
Unknown 16 36%
Readers by discipline Count As %
Medicine and Dentistry 15 34%
Social Sciences 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Nursing and Health Professions 1 2%
Economics, Econometrics and Finance 1 2%
Other 5 11%
Unknown 17 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 February 2020.
All research outputs
#13,355,661
of 23,041,514 outputs
Outputs from Advances in Health Sciences Education
#517
of 856 outputs
Outputs of similar age
#154,043
of 312,662 outputs
Outputs of similar age from Advances in Health Sciences Education
#5
of 9 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 856 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 312,662 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.