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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