Association of Patient and Clinician Sociodemographics With the Odds of Sexual History Screening
Sociodemographic | ORa (95% CI) | P Value |
---|---|---|
Patients | ||
Intercept | 0.52 (0.33-0.82) | … |
Age, per year | 0.99 (0.99-0.99) | <.001 |
Race/ethnicity | ||
White non-Hispanic | 1.00 (referent) | … |
Hispanic | 1.02 (0.95-1.01) | .52 |
Black non-Hispanic | 1.01 (0.92-1.01) | .87 |
Asian non-Hispanic | 0.88 (0.76-1.01) | .07 |
Other non-Hispanic | 1.05 (0.57-1.33) | .52 |
Sexual orientation | ||
Heterosexual | 1.00 (referent) | … |
Gay or lesbian | 1.23 (1.04-1.47) | .02 |
Bisexual | 1.12 (0.94-1.34) | .22 |
Other | 0.87 (0.57-1.33) | .52 |
Gender | ||
Cisgender man | 1.00 (referent) | … |
Cisgender woman | 1.10 (1.04-1.16) | <.001 |
Transgender man | 1.07 (0.72-1.60) | .74 |
Transgender woman | 1.26 (0.86-1.84) | .23 |
Primary language | ||
English | 1.00 (referent) | … |
Other | 0.91 (0.85-0.97) | .006 |
Insurance status | ||
Private insurance | 1.00 (referent) | … |
Uninsured | 0.95 (0.86-1.05) | .33 |
Medicare | 1.07 (0.97-1.19) | .17 |
Medicaid | 1.00 (0.93-1.08) | .91 |
Other public | 0.9 (0.75-1.07) | .22 |
Clinicians | ||
Age, per year | 1.01 (0.98-1.04) | .60 |
Race/ethnicity | ||
White non-Hispanic | 1.00 (referent) | … |
Black non-Hispanic | 0.86 (0.37-1.99) | .72 |
Hispanic | 1.30 (0.51-3.29) | .58 |
Other non-Hispanic | 0.92 (0.41-1.67) | .59 |
Sexual orientation | ||
Heterosexual | 1.00 (referent) | … |
Gay or pansexual | 1.26 (0.07-23.3) | .88 |
Gender identity | ||
Cisgender man | 1.00 (referent) | … |
Cisgender woman | 1.80 (1.00-3.21) | .048 |
Years of employment | 0.98 (0.95-1.02) | .37 |
Clinical credentials | ||
Advanced practice registered nurse | 1.00 (referent) | … |
Medical doctor | 0.99 (0.49-2.01) | .99 |
Physician assistant | 1.07 (0.22-5.22) | .93 |
Doctor of osteopathic medicine | 1.15 (0.31-4.21) | .83 |
Patient panel size, per patient | 0.99 (0.99-0.99) | .02 |
OR = odds ratio.
Note: Bold indicates a statistically significant association (P <.05).
↵a Estimated using multilevel crossed random effects logistic regression analysis, with adjustment for patients’ age, race and ethnicity, sexual orientation, gender, primary language, insurance status, and patients’ primary care clinicians’ age, race/ethnicity, sexual orientation, gender identity, years of employment, and clinical credentials while clustering by primary care clinician and medical site.