Impact of accelerated, graduate-entry medicine courses: a comparison of profile, success, and specialty destination between graduate entrants to accelerated or standard medicine courses in UK

Table 2 Demographic profiles of graduate entrants by type of medicine programme

Medicine Programme type	4 year	accelerated 5 yr. course	5 year	6 year	significance
Number	1445	75	1150	45
Mean age	24.9^b	25.3^b	23.9^a	24.6^a,b	ANOVA, F(3,2715) = 14.7, p < .001
Gender
women	57.1%	54.7%	60.1%	59.6%
men	42.9%	45.3%	39.9%	#
Ethnicity
white	78.8%	87.8%	70.1%	80.9%	Chi-square = 78.3, 15 df, p < .001
Asian	11.9%	#	20.0%	#
black	3.3%	#	3.4%	#
mixed	4.5%	#	2.4%	#
Parental higher education
yes	56.6%	50.7%	44.6%	63.8%	Chi-square = 19.2, 3 df, p < .001
NS-SEC
managerial or professional	67.2%	68.0%	63.2%	54.8%	Chi-square = 49.1, 21 df, p < .001
intermediate occupations	13.2%	#	14.0%	#
small employers and own account workers	1.7%	#	3.3%	#
lower supervisory	1.4%	#	2.3%	#
semi-routine & routine occupations	16.6%	#	17.1%	#

# - figure suppressed due to disclosure controls
Note that because of statistical disclosure controls, frequencies are rounded and percentages sometimes omitted (see Methods). Superscripts indicate homogenous subsets (p < .05) for ANOVA only

ISSN: 1472-6920