Table 1.

Multivariable logistic regression model showing factors independently associated with passing the Applied Knowledge Test

PredictorOR (95% CI)Standard errorP-value
Sex
Female1
Male1.29 (0.70 to 2.36)0.400.411
Ethnic group
White1
Ethnic minority2.05 (1.03 to 4.10)0.720.042
Mixed1.20 (0.14 to 10.00)1.300.865
Qualification country
UK1
Non-UK1.17 (0.54 to 2.54)0.460.686
Declared disability
No1
Yes0.86 (0.42 to 1.77)0.320.687
MSRA bands
<4001
400–4193.47 (1.28 to 9.36)1.760.014
420–4394.29 (1.42 to 12.94)2.420.010
440–4596.86 (2.40 to 19.11)3.68<0.001
460–4799.93 (3.18 to 31.03)5.77<0.001
480–49915.34 (4.35 to 54.08)9.86<0.001
500–51937.53 (8.37 to 168.40)28.75<0.001
520–53953.30 (9.58 to 296.52)46.67<0.001
540–559104.06 (11.28 to 959.69)117.95<0.001
Constant1.69 (0.55 to 5.21)0.97<0.001
  • Pseudo R2 = 0.13, χ2(13) = 56.78, P<0.001. Bands 10, 11, and 12 not included in the model because they perfectly predict passing the Applied Knowledge Test. MSRA = Multi-Specialty Recruitment Assessment. OR = odds ratio.