Table 3. Factors associated with awareness, experience, and prescribing intentions regarding pre-exposure prophylaxis (PrEP) among healthcare providers, New England, 2013.

		Model
		Aware of CDC Recommendations(n = 146)	Have Prescribed PrEP (n = 145 a )	More Likely to Prescribe PrEP in Future(n = 118 a , b )
Clinician Characteristics		aOR c (95% CI)	aOR c (95% CI)	aOR d (95% CI)
Age (years)		1.06 (1.01 to 1.11)	1.05 (1.00 to 1.09)	1.03 (1.00 to 1.07)
Female		1.33 (0.47 to 3.80)	0.26 (0.10 to 0.71)	0.71 (0.31 to 1.61)
Clinician type	PCP	Ref	Ref	Ref
	ID Specialist	6.21 (0.67 to 57.3)	0.82 (0.20 to 3.29)	0.64 (0.24 to 1.68)
	ANP/PA	0.34 (0.10 to 1.21)	2.59 (0.65 to 10.2)	0.78 (0.28 to 2.19)
	All other	1.18 (0.30 to 4.62)	3.22 (0.74 to 14.0)	1.95 (0.58 to 6.60)
White/Caucasian vs. all other race/ethnicities		1.07 (0.31 to 3.76)	0.32 (0.10 to 1.06)	0.68 (0.24 to 1.96)
Percent of patients who are HIV-infected e		1.18 (0.97 to 1.44)	1.02 (0.88 to 1.18)	1.19 (1.06 to 1.34)

CDC, Centers for Disease Control and Prevention; aOR, adjusted odds ratio; PCP, primary care physician; ID, infectious diseases; NP, advanced nurse practitioner; PA, physician assistant. Significant results in bold.

^aAnalyses restricted to providers from specialties that involve longitudinal care of medical patients.

^bAmong clinicians who had not previously prescribed PrEP.

^cMultivariable logistic regression models adjusted for all other covariates from first column.

^dOrdinal logistic regression model adjusted for all other covariates from first 2 columns. Ordered levels were very unlikely, unlikely, likely, and very likely.

^ePer 10% increase in percent of practice that is HIV-infected.