Provider Demographics & Practice

Note: Provider survey has a small sample size (N=24). All results are descriptive only and should be interpreted with caution. Percentages are shown alongside counts.

Provider Type & Job Role

Full breakdown of provider roles in the sample (N=24), combining provider type, current job title, and self-reported roles. Includes physicians, pharmacists, nursing staff, medical assistants, and PrEP navigators.

Gender

Gender distribution of the provider sample. Provider demographics can influence patient-provider dynamics around sensitive health topics like PrEP.

Race/Ethnicity

Racial/ethnic composition of the provider sample. Workforce diversity is important for culturally responsive PrEP service delivery.

Hispanic/Latino

Proportion of providers identifying as Hispanic/Latino. Representation matters for serving communities with high HIV burden.

Sexual Orientation

Sexual orientation of the provider sample. Provider identity can influence cultural competency and rapport with diverse patient populations.

Organization Structure

Types of organizations where providers work. Organizational context shapes PrEP prescribing capacity, protocols, and support systems.

Position Length

How long providers have held their current position. Tenure may relate to experience with PrEP protocols and comfort with prescribing.

Years in HIV Prevention

Years of experience in HIV prevention work. Greater experience may correlate with more PrEP knowledge and confidence in delivery.

Key Takeaway: The provider sample (N=24) is small and descriptive only. The workforce is predominantly female (68.2% women) and straight/heterosexual (95.5%). Over one-third (38.1%) identify as Hispanic/Latino, reflecting the communities served by the EHE initiative in this region.
75% Clinicians
25% Pharmacists
33.3% Medical Physicians
36.4% Private Practice
22.7% Health Plan/System
41.7% White
16.7% Asian
Source

EHE PrEP Provider Survey, Charles R. Drew University of Medicine and Science. N=24 providers in SPA 6 (South Los Angeles).

Note

Small sample size; all results are descriptive only and should not be used for inferential conclusions. Percentages may not sum to 100% due to rounding or multiple-response items.