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Table 3 Predictors of going overseas for elective from multivariable logistic regression model

From: Medical electives: exploring the determinants of placement and access variables between 2010 and 2016 at the University of Auckland

Predictors Category OR CI (95%) P-value
Age < 25 years old Reference   
25+ years old 0.36 0.26–0.49 < 0.001*
Route General Reference   
MAPAS 0.67 0.45–1.00 0.05
RRAS 0.65 0.41–1.03 0.07
Sex Male Reference   
Female 0.94 0.70–1.27 0.45
Year of elective Per year 0.99 0.92–1.08 0.94
Secondary school decile High (9–10) Reference   
Medium (4–8) 1.07 0.75–1.54 0.37
Low (1–3) 0.78 0.46–1.33 0.70
Overseas schooling 0.83 0.39–1.73 0.89
χ2(10) 61.24 < 0.001   
Pseudo R2a 0.06    
N 1065    
  1. The dependent variable in this analysis is country location, with 0 = Remaining in New Zealand and 1 = Going overseas for entire elective
  2. CI confidence interval, OR odds ratio
  3. * P <  0.001
  4. aMcFadden’s R2