Performance in candidates declaring versus those not declaring dyslexia in a licensing clinical examination
Male
licensing
A300 Clinical Medicine
X360 Academic studies in Specialist Education
assessment
610
02 engineering and technology
medical
X360 - Academic studies in specialist education
Dyslexia
03 medical and health sciences
0302 clinical medicine
dyslexia
0202 electrical engineering, electronic engineering, information engineering
Humans
specific learning difficulty
general practice
postgraduate
United Kingdom
MRCGP
Cross-Sectional Studies
Education, Medical, Graduate
differential attainment
ethnicity
Female
Clinical Competence
Educational Measurement
A300 - Clinical medicine
Licensure
DOI:
10.1111/medu.13953
Publication Date:
2019-08-21T03:24:37Z
AUTHORS (4)
ABSTRACT
Context High‐stakes medical examinations seek to be fair all candidates, including an increasing proportion of trainee doctors with specific learning differences. We aimed investigate the performance declaring dyslexia in clinical skills assessment ( CSA ), objective structured examination for licensing UK general practitioners. Methods employed a cross‐sectional design using and attribute data from candidates taking between 2010 2017. compared who declared (‘early’ before their first attempt or ‘late’ after failing at least once) those did not, multivariable negative binomial regression investigating effect on passing , accounting relevant factors previously associated performance, number attempts, initial score, sex, place primary qualification ethnicity. Results Of 20 879 598 (2.9%) that they had dyslexia. Candidates were more likely male (47.3% versus 37.8%; p < 0.001) have non‐ (26.9% 22.4%; 0.01), but no different ethnicity never late significantly fail early (40.6% 9.2%; (79.3% 15.6%; come minority ethnic group (84.9% 39.2%; 0.001). The chance was lower (incident rate ratio [ IRR ], 0.82; 95% confidence interval CI 0.70–0.96) IRR, 0.95; CI, 0.93–0.97). Conclusions A small less pass particularly if late. Further investigation potential causes solutions is needed.
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