Centre for Healthcare Education Research and Innovation (CHERI), School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Medical Statistics Team, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Aberdeen, UK.
BMJ Open. 2018 Jun 30;8(6):e021329. doi: 10.1136/bmjopen-2017-021329.
Knowledge about allocation of doctors into postgraduate training programmes is essential in terms of workforce planning, transparency and equity issues. However, this is a rarely examined topic. To address this gap in the literature, the current study examines the relationships between applicants' sociodemographic characteristics and outcomes on the UK Foundation Training selection process.
A longitudinal, cohort study of trainees who applied for the first stage of UK postgraduate medical training in 2013-2014. We used UK Medical Education Database (UKMED) to access linked data from different sources, including medical school admissions, assessments and postgraduate training. Multivariable ordinal regression analyses were used to predict the odds of applicants being allocated to their preferred foundation schools.
Applicants allocated to their first-choice foundation school scored on average a quarter of an SD above the average of all applicants in the sample. After adjusting for Foundation Training application score, no statistically significant effects were observed for gender, socioeconomic status (as determined by income support) or whether applicants entered medical school as graduates or not. Ethnicity and place of medical qualification were strong predictors of allocation to preferred foundation school. Applicants who graduated from medical schools in Wales, Scotland and Northern Ireland were 1.17 times, 3.33 times and 12.64 times (respectively), the odds of applicants who graduated from a medical school in England to be allocated to a foundation school of their choice.
The data provide supportive evidence for the fairness of the allocation process but highlight some interesting findings relating to 'push-pull' factors in medical careers decision-making. These findings should be considered when designing postgraduate training policy.
了解医生在研究生培训计划中的分配情况对于劳动力规划、透明度和公平性问题至关重要。然而,这是一个很少被研究的课题。为了弥补文献中的这一空白,本研究考察了申请人的社会人口特征与英国基础培训选拔过程结果之间的关系。
这是一项对 2013-2014 年申请英国研究生医学培训第一阶段的受训者进行的纵向队列研究。我们使用英国医学教育数据库(UKMED)从不同来源(包括医学院招生、评估和研究生培训)获取关联数据。使用多变量有序回归分析来预测申请人被分配到首选基础培训学校的几率。
被分配到首选基础培训学校的申请人的平均得分比样本中所有申请人的平均得分高出四分之一标准差。在调整了基础培训申请得分后,性别、社会经济地位(由收入支持决定)以及申请人是否以毕业生身份进入医学院等因素对分配到首选基础培训学校没有统计学意义上的影响。族裔和医学资格的地点是分配到首选基础培训学校的强有力预测因素。从威尔士、苏格兰和北爱尔兰医学院毕业的申请人被分配到他们选择的基础培训学校的几率分别是从英格兰医学院毕业的申请人的 1.17 倍、3.33 倍和 12.64 倍。
这些数据为分配过程的公平性提供了支持性证据,但也突显了与医学职业决策中的“推-拉”因素有关的一些有趣发现。在制定研究生培训政策时应考虑这些发现。