Skip to main content

Table 5 Predictors of country income level of overseas elective, stratified by route of entry

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

  General Route MAPAS Route RRAS Route
Predictors Category OR CI (95%) P-value OR CI (95%) P-value OR CI (95%) P-value
Age < 25 years Reference Reference Reference
≥25 years 1.25 0.75–1.85 0.26 0.37 0.17–0.80 0.01* 4.36 1.62–11.72 0.004**
Ethnicity NZ European Reference Reference
Māori 0.53 0.09–3.06 0.48 Reference
Pacific 0.31 0.03–2.90 0.31 0.29 0.13–0.63 0.002**
Asian 1.43 1.01–2.04 0.05
Other minority 1.32 0.55–3.17 0.53 0.51b 0.12–2.10 0.35
Sex Male Reference Reference Reference
Female 0.81 0.58–1.14 0.23 0.93 0.42–2.05 0.86 1.16 0.43–3.06 0.76
Year of elective Per year 1.12 1.03–1.23 0.008** 1.06 0.87–1.28 0.58 1.05 0.85–1.30 0.66
Secondary School decile High (9–10) Reference Reference Reference
Medium (4–8) 0.66 0.45–0.95 0.03* 1.26 0.51–3.09 0.61 1.31 0.39–3.26 0.82
Low (1–3) 0.72 0.30–1.70 0.45 1.35 0.50–3.65 0.55 0.40 0.07–2.30 0.31
Overseas schooling 0.82 0.32–2.68 0.88 - c - c
χ2(10)    22.84 0.01   17.54 0.008   12.39 0.05
Pseudo R2a    0.03    0.10    0.10  
N    581    131    88  
  1. CI confidence interval, OR odds ratio
  2. The dependent variable in this analysis is overseas electives county income levels, with 0 = Low, Lower-Middle, and Upper-Middle Income Countries and 1 = High Income Countries
  3. *P < 0.05; **P < 0.01
  4. aMcFadden’s R2
  5. bFor analysis in RRAS route only, the Māori (n = 1), Pacific (n = 1), Asian (n = 17) and other minorities (n = 1) were grouped together due to small numbers
  6. cn = 5 MAPAS and n = 3 RRAS students with overseas schooling were dropped from these models as they all went to a Low, Lower-Middle or Upper-Middle Income Country for their elective (i.e. predict the outcome perfectly)