Applications to medical and surgical specialist training in the UK National Health Service, 2021–2022: a cross-sectional observational study to characterise the diversity of successful applicants

Author:

Aggarwal DineshORCID,Roy-Chowdhury Meera,Xiang Nicola,Peacock Sharon J.

Abstract

ObjectivesTo compare success of applicants to specialty training posts in the UK by gender, ethnicity and disability status.DesignCross-sectional observational study.SettingNational Health Service, UK.ParticipantsAll specialty training post applications to Health Education England, UK, during the 2021–2022 recruitment cycle.InterventionNil.Primary and secondary outcome measuresComparison of success at application to specialty training posts by gender, ethnicity, country of qualification (UK vs non-UK) and disability. The influence of ethnicity on success was investigated using a logistic regression model, where country of qualification was included as a covariate.Results12 419/37 971 (32.7%) of applicants to specialty training posts were successful, representing 58 specialties. The difference in percentage of successful females (6480/17 523, 37.0%) and males (5625/19 340, 29.1%) was 7.9% (95% CI 6.93% to 8.86%), in favour of females. Segregation of applications to specialties by gender was observed; surgical specialties had the highest proportion of male applicants, while obstetrics and gynaecology had the highest proportion of female applicants. The proportion of successful recruits to specialties largely reflected the number of applications. 11/15 minority ethnic groups (excluding ‘not stated’) had significantly lower adjusted ORs for success compared with white-British applicants. ‘Mixed white and black African’ (OR 0.52, 95% CI 0.44 to 0.61, p≤0.001) were the least successful minority group in our study, while non-UK graduates had an adjusted ORs for success of 0.43 (95% CI 0.41 to 0.46, p≤0.001) compared with UK graduates. The difference in percentage of success by disabled applicants (179/464, 38.6%) and non-disabled applicants (11 940/36 418, 32.8%) was 5.79% (95% CI 1.23% to 10.4%), in favour of disabled applicants. No disabled applicants were accepted to 21/58 (36.2%) of specialties.ConclusionsDespite greater success by female applicants overall, there is an attraction issue to specialties by gender. Further, most ethnic minority groups are less successful at application when compared with white-British applicants. This requires continuous monitoring and evaluation of the reasons behind observed differences.Trial RegistrationNot applicable.

Funder

Wellcome Trust

Publisher

BMJ

Subject

General Medicine

Reference28 articles.

1. Diversity improves performance and outcomes

2. Addressing Workforce Diversity — A Quality-Improvement Framework

3. Committee HaSC . Workforce: recruitment, training and retention in health and social care: UK parliament. 2022. Available: https://publications.parliament.uk/pa/cm5803/cmselect/cmhealth/115/report.html

4. Association BM . NHS medical staffing data analysis. 2022. Available: https://www.bma.org.uk/advice-and-support/nhs-delivery-and-workforce/workforce/nhs-medical-staffing-data-analysis

5. Shembavnekar NB , Bazeer N , Kelly E , et al . NHS workforce projections 2022. The Health Foundation 2022.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3