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Sociodemographic and educational characteristics of doctors applying for psychiatry training in the UK: secondary analysis of data from the UK Medical Education Database project

Published online by Cambridge University Press:  10 May 2019

Paul J. Lambe
Affiliation:
Plymouth University
Thomas C. E. Gale*
Affiliation:
Plymouth University
Tristan Price
Affiliation:
Plymouth University
Martin J. Roberts
Affiliation:
Plymouth University
*
Correspondence to Thomas C. E. Gale (thomas.gale@plymouth.ac.uk)
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Abstract

Aims and method

Workforce shortages in psychiatry are common worldwide. The international literature provides insights into factors influencing decisions to train in psychiatry but is predominately survey based. This national cohort study aimed to identify the characteristics of doctors who were most likely to apply to psychiatry training programmes. The sample comprised doctors who entered UK medical schools in 2007/8 and who made first-time specialty training applications in 2015. The association between application to psychiatry and doctors' sociodemographic and educational characteristics was examined using multivariable logistic regression.

Results

Those most likely to apply were White, privately educated older doctors with below average performance at medical school.

Clinical implications

To reduce workforce shortages, psychiatry must make itself more attractive to all doctors, especially those from underrepresented groups such as state-educated Black and minority ethnic individuals. Otherwise, national policies to widen participation in the study of medicine by such groups may exacerbate the current recruitment crisis.

Information

Type
Original Papers
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
Copyright © The Authors 2019
Figure 0

Table 1 Frequency and patterns of specialty training applications (n = 7634)

Figure 1

Fig. 1 Receiver operating characteristic (ROC) curves for logistic regression models 1–4.

Figure 2

Fig. 2 Graph 1: predicted probability of the outcome ‘applied to core psychiatry specialty training’ adjusted by FPAS EPM performance and age at entry to medical school (Model 1: sample = all entry programmes). Graph 2: predicted probability of the outcome ‘applied solely to core psychiatry specialty training’ adjusted by FPAS EPM performance, BME status and age at entry to medical school (Model 3: sample = all entry programmes).

Figure 3

Table 2 Odds ratios (95% confidence interval) for independent predictors of the outcomes in logistic regression models 1 to 4

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