E-learning in graduate medical education: survey of residency program directors

BMC Medical Education

Table 4 Odds of using electronic learning^a by internal medicine residency programs^b

	Synchronous E-learning		Asynchronous E-learning
Characteristic	OR^c (95% CI)	P	OR^c (95% CI)	P
Program type		.01		.01
Community-based, university-affiliated	REF		REF
Community-based	0.84 (0.09–7.89)		3.96 (1.12–14.08)
University-based	6.8 (1.9–24.7)		3.3 (1.3–9.0)
Region		.61		.01
Northeast	REF		REF
West	1.6 (0.3–8.0)		0.6 (0.2–1.9)
South	1.7 (0.5–5.6)		0.9 (0.3–2.3)
Midwest	2.3 (0.7–7.4)		3.3 (1.3–8.1)
Budget for e-learning		.04		.12
Yes	3.00 (1.04–8.68)		1.95 (0.84–4.51)
No	REF		REF
Program size, ACGME-approved positions	0.998 (0.981–1.014)	.77	0.995 (0.981–1.008)	.41
ABIM program pass rate (2012–2014)^d	1.006 (0.943–1.073)	.86	0.981 (0.938–1.026)	.41
Percentage of positions filled by international medical graduates^e	1.018 (1.001–1.035)	.04	0.998 (0.992–1.003)	.37
Hospital size, beds^f	1.001 (1.000–1.002)	.05	1.000 (0.999–1.001)	.61
Program director perception of e-learning score	1.06 (0.41–2.77)	.91	3.78 (1.80–7.96)	<.001

Abbreviations: ABIM American Board of Internal Medicine, ACGME Accreditation Council of Graduate Medical Education, OR odds ratio, REF reference group
^a E-learning “use” was defined as use “somewhat often” or “very often”
^b Military-based programs were excluded from this analysis because of limited respondents (4 of 214)
^c OR calculated using a multiple logistic regression model adjusting for all characteristics simultaneously. For continuous measures, ORs are per each 1-unit increase in value
^d Data on ABIM program pass rate was available for 200 programs
^e Data on international medical graduates was available for 196 programs
^f Data on hospital size was available for 194 programs

ISSN: 1472-6920