Table 4.

Logistic Regression Models of Decision Aid Use for Print and Web Arm Participants (N = 1,059)

Predictors of decision aid use among Print arm participants (ref = did not use decision aid) (N = 536)
	Odds Ratio	95 % Confidence Interval		P value
Age (ref = 45–49)
50–59	1.42	0.75	2.67	0.28
60–70	1.04	0.51	2.10	0.92
Race (ref = non-white)
White	2.13	1.28	3.54	0.00
Education (ref = high school or less)
College degree	1.65	0.90	3.00	0.37
Graduate work or degree	2.37	1.12	5.00	0.02
Employment (ref = part-time or full-time)
Not employed	0.86	0.42	1.79	0.69
Retired	1.61	0.80	3.24	0.18
Ever screened for PCa (ref = not screened)
Screened	1.32	0.69	2.56	0.40
Internet Use (ref = never–1/week)
Daily	1.02	0.55	1.90	0.95
Randomization Arm Matches Baseline Preference (ref = no match)
Match	0.69	0.38	1.25	0.22
No Preference at Baseline	0.79	0.34	1.87	0.60
Predictors of decision aid use among Web arm participants (ref = did not use decision aid) (N = 523)
Age (ref = 45–49)
50–59	0.54	0.29	1.02	0.06
60–70	0.50	0.25	0.99	0.05
Race (ref = non-white)
White	2.94	1.91	4.54	<.001
Education (ref = high school or less)
College degree	0.93	0.52	1.67	0.81
Graduate work or degree	1.02	0.53	1.95	0.96
Employment (ref = part-time or full-time)
Not employed	0.52	0.26	1.05	0.07
Retired	1.20	0.68	2.13	0.53
Ever screened for PCa (ref = not screened)
Screened	2.82	1.35	5.87	0.01
Internet Use (ref = never-1/week)
Daily	3.20	1.87	5.49	< 0.001
Randomization Arm Matches Baseline Preference (ref = no match)
Match	1.91	1.17	3.12	0.01
No Preference at Baseline	1.30	0.66	2.59	0.45