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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)
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BMC Medical Education

ISSN: 1472-6920

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