Table 3.

Demographic profile and background characteristics for all participating THEnet schools combined at entry and exit

	Mean age (SD)	Female n/N (%)	Lowest two quintiles of income (background) n/N (%)	Identify as underserved population n/N (%)	Neither parent attended university n/N (%)	Years of public schooling (> 4 years) n/N (%)	Rural background 1-3a n/N (%)
Entry (N = 2557)	n = 2530 20.07 (4.005) 95% CI 19.91–20.23	1535/2556 (60.1)	475/1643 (28.9)	645/2303 (28.0)	515/2502 (20.1)	691/2250 (30.7)	825/1904 (43.3)
Exit (N = 789)	n = 755 25.25 (3.213) 95% CI 25.02–25.48	492/786 (62.6)	142/617 (23.0)	118/704 (16.8)	131/783 (16.7)	370/779 (47.5)	216/538 (40.1)
OR at entry versus exit; p-value for Pearson’s χ2 for OR	–	0.90; p = 0.2	1.36; p = 0.005	1.93; p < 0.001	1.29; p < 0.02	0.49; p < 0.001	1.14; p = 0.2

^aRural quintiles (1 = remote village, 2 = small rural town, 3 = large rural town) vs Urban quintiles (4 = major regional centre and 5 = major city or capital city). Respondents from Ghent University or those with primary school background in a country other than the country where they attended medical school were excluded from this variable. Most schools used population size to define quintiles; NOSM and UPSHS based quintiles on government socioeconomic classifications