Table III.

Models for Willingness to Use PrEP Among Women with Expanded PrEP Indications, NSHBC

	Bivariate Analysis			Multivariable Model 1		Multivariable Model 2
	N	OR (95% CI)	p value	AOR (95% CI)	p value	AOR (95% CI)	p value
Income <25K (ref: ≥25K)	347	1.89 (1.10, 3.23)	0.0204	1.59 (0.89, 2.85)	0.1177	1.57 (0.86, 2.86)	0.1382
Did not finish college (ref: finished college)	347	2.22 (1.14, 4.29)	0.0183	1.89 (0.94, 3.83)	0.0764	1.90 (0.93, 3.91)	0.0793
Single, Widowed, divorced, separated (ref: married or cohabiting)	347	2.76 (1.65, 4.62)	0.0001	2.40 (1.41, 4.12)	0.0014	2.47 (1.43, 4.25)	0.0012
Last seen doctor more than 1 year ago (ref: 1 year ago or less)	347	0.36 (0.18, 0.73)	0.0045	0.32 (0.15, 0.66)	0.0021	0.28 (0.13, 0.58)	0.0007
HIV-Related Medical Mistrust
Entire Scale	347	1.09 (1.03, 1.16)	0.0033	1.08 (1.01, 1.14)	0.0207
Items
There is a cure for HIV but the government is withholding it from the poor, agree or strongly agree (vs. all others)	346	2.80 (1.72, 4.57)	<0.0001			2.81 (1.61, 4.90)	0.0003
HIV is a man-made virus, agree or strongly agree (vs. all others)	347	1.69 (1.05, 2.72)	0.0306			1.07 (0.62, 1.85)	0.8110
The medicine that doctors prescribe to treat HIV is poison, (agree or strongly agree vs. all others)	346	0.95 (0.54, 1.67)	0.8601
The government usually tells the truth about major health issues, like HIV/AIDS, agree or strongly agree (vs. all others)	346	1.13 (0.63, 2.01)	0.6857