Table 3

Mixed effects logistic regression of medical school (random effect), demographics, prior attainment and fitness to practise declaration (fixed effects) on the probability of applying to specialty training versus not applying (n=10 559)

EstimateSEORLower
95% CI
Upper
95% CI
P value
Female–0.06330.04770.93870.85491.03070.1847
HESA tariff** 0.0008 0.0003 1.0008 1.0003 1.0013 0.0009
UKCAT score** –0.0003 0.0001 1.0008 1.0003 1.0013 0.0009
EPM score** 0.0495 0.0095 1.0508 1.0313 1.0705 0.0001
SJT score* –0.0295 0.0096 0.9709 0.9528 0.9894 0.0021
Degree points** 0.7255 0.0417 0.4841 0.4461 0.5253 <0.0001
Publication points** 0.3047 0.0573 1.3562 1.2122 1.5174 <0.0001
UK domicile** 0.3104 0.0862 1.1610 0.9372 1.4382 0.0003
Graduate entry** 0.7103 0.0785 2.0346 1.7445 2.3729 <0.0001
Birth year** 0.0750 0.0044 0.9278 0.9198 0.9358 <0.0001
 BME–0.00560.00310.99440.98831.00040.0689
High SEC* 0.1126 0.0561 0.8935 0.8005 0.9973 0.0446
 Fee paying school–0.06780.05380.93450.84101.03840.2078
 No free school meals0.04120.09460.95970.79721.15520.6633
High local participation (POLAR)* 0.2866 0.1284 0.7508 0.5838 0.9657 0.0256
FtP declaration* 0.1715 0.0871 0.8424 0.7102 0.9992 0.0489
  • The random effect of medical school was highly statistically significant (p<0.0001).

  • Statistically significant fixed effects in bold: *p<0.05; **p<0.001.

  • BME, black and minority ethnic; EPM, Educational Performance Measure; FtP, fitness to practise; HESA, Higher Education Statistics Agency; POLAR, participation of local areas; SEC, socioeconomic class; SJT, Situational Judgement Tests; UKCAT, UK Clinical Aptitude Test.