Table 4.

Indirect effects of patient characteristics on prescribing intention: race and sexual orientation indirect effects

Mediator	Patient race effectsa						Patient sexual orientation effectsb
	Black (1) vs. White (0)						MSM (1) vs. MSW (0)
	Indirect effect	SE	95% CI	Partially standardized indirect effect	SE	95% CI	Relative indirect effect	SE	95% CI	Partially standardized relative indirect effect	SE	95% CI
HIV risk	0.00	0.01	[− 0.01, 0.01]	0.00	0.01	[− 0.02, 0.02]	0.02	0.03	[− 0.03, 0.08]	0.03	0.05	[− 0.05, 0.13]
Increased risk behavior	0.00	0.01	[− 0.01, 0.03]	0.01	0.01	[− 0.01, 0.04]	0.00	0.01	[− 0.02, 0.02]	0.00	0.01	[− 0.03, 0.03]
PrEP adherence	0.02	0.01	[− 0.01, 0.05]	0.03	0.02	[− 0.01, 0.07]	0.04	0.02	[0.01, 0.10]*	0.07	0.04	[0.01, 0.16]*
Importance of request	0.04	0.03	[− 0.01, 0.10]	0.06	0.04	[− 0.01, 0.15]	0.05	0.04	[− 0.01, 0.13]	0.08	0.06	[− 0.02, 0.20]
Investment in helping	0.00	0.01	[− 0.01, 0.02]	0.01	0.01	[− 0.01, 0.03]	0.01	0.01	[− 0.01, 0.03]	0.01	0.01	[− 0.01, 0.04]
Deservingness of help	0.00	0.01	[− 0.02, 0.04]	0.01	0.02	[− 0.03, 0.06]	0.02	0.02	[− 0.01, 0.08]	0.03	0.04	[− 0.01, 0.13]
Safety-consciousness	− 0.02	0.02	[− 0.06, 0.01]	− 0.03	0.03	[− 0.10, 0.02]	− 0.01	0.02	[− 0.05, 0.03]	− 0.01	0.03	[− 0.08, 0.04]
Responsibility	0.03	0.02	[0.00, 0.08]c	0.04	0.03	[− 0.01, 0.12]	0.02	0.02	[− 0.02, 0.07]	0.03	0.04	[− 0.04, 0.11]
	Direct effect	SE	95% CI	Partially Standardized direct effect			Relative direct effect	SE	95% CI	Partially standardized relative direct effect
	0.00	0.06	[− 0.13, 0.13]	0.00			0.01	0.08	[− 0.16, 0.17]	0.01
	Total effect	SE	95% CI	Partially standardized total effect			Relative total effect	SE	95% CI	Partially standardized relative total effect
	0.08	0.08	[− 0.07, 0.22]	0.12			0.15	0.09	[− 0.03, 0.33]	0.23

No contrast effects are shown because there were no significant specific indirect effects

MSM man who has sex with men, MSW man who has sex with women

^aBased on bootstrapped analysis of parallel multiple mediator model with dichotomous predictor (patient race) adjusting for age, gender, race, sexual orientation, provider type, HIV specialization, practice setting, PrEP familiarity, PrEP experience, and patient risk behavior (MID, MSM, or MSW)

^bBased on bootstrapped analysis of parallel multiple mediator model with multicategorical predictor (patient risk behavior) adjusting for age, gender, race, sexual orientation, provider type, HIV specialization, practice setting, PrEP familiarity, PrEP experience, and patient race (Black or White). Indirect, direct, and total effects reported are relative effects because patient risk behavior is multicategorical

^c95% CI [− 0.0045, 0.0829] without rounding and therefore statistically non-significant

^*p < 0.05