Table 3.

Logistic regression results where experience with being asked to participate in a CT is regressed on variables of interest

Term	estimate	SE	p	Odds Ratio	95% CI
(Intercept)	−3.19	0.79	<0.001***	0.04	[−4.91, −1.77]
Race—Black (Ref = White)	0.53	0.17	0.002**	1.70	[0.19, 0.86]
Race—Asian American/Pacific Islander	−0.38	0.37	0.31	0.69	[−1.17, 0.30]
Race—Latino/a	0.36	0.23	0.10	1.44	[−0.09, 0.79]
Race—American Indian/Alaska Native	−0.09	0.77	0.90	0.91	[−1.97, 1.19]
Race—Multi-racial or other	0.18	0.29	0.53	1.20	[−0.42, 0.72]
Gender—Male (Ref = Female)	0.47	0.12	<0.001***	1.60	[0.24, 0.70]
Gender—Other	−12.82	304.98	0.96	0.00	[NA, 4.53]
Work experience	0.00	0.00	0.80	1.00	[−0.01, 0.01]
Annual Income—40–80 K (Ref = 10–40 K)	−0.14	0.15	0.32	0.87	[−0.43, 0.14]
Annual Income—80 K+	−0.10	0.15	0.53	0.91	[−0.40, 0.20]
Employment—Part-time (Ref = full-time)	−0.13	0.19	0.49	0.88	[−0.52, 0.24]
Employment—Other	0.16	0.26	0.55	1.17	[−0.38, 0.65]
Employment—Unemployed	−0.25	0.21	0.24	0.78	[−0.68, 0.16]
Employment—Retired	0.11	0.16	0.51	1.11	[−0.22, 0.43]
Education—College (Ref = advanced)	−0.34	0.17	0.04*	0.71	[−0.68, 0.00]
Education—High school or less	−0.50	0.19	0.007**	0.60	[−0.87, −0.13]
Insurance—Uninsured (Ref = don’t know)	−0.38	0.44	0.38	0.68	[−1.22, 0.52]
Insurance—Insured	0.07	0.39	0.85	1.07	[−0.64, 0.89]
Clinical research participant in my network –yes (Ref = no)	1.74	0.14	<0.001***	5.71	[1.47, 2.01]
Health care provider in my network –yes	0.58	0.12	<0.001***	1.78	[0.35, 0.81]
English proficiency—very well (Ref = not very/not at all)	0.51	0.64	0.42	1.66	[−0.61, 1.99]
English proficiency—well	0.77	0.67	0.25	2.15	[−0.43, 2.29]

*p < 0.05, **p < 0.01, ***p < 0.001.