Table 3.

Association of Patient and Clinician Sociodemographics With the Odds of Sexual History Screening

Sociodemographic   ORa (95% CI)P Value
Patients
Intercept0.52 (0.33-0.82)
Age, per year0.99 (0.99-0.99)<.001
Race/ethnicity
    White non-Hispanic1.00 (referent)
    Hispanic1.02 (0.95-1.01).52
    Black non-Hispanic1.01 (0.92-1.01).87
    Asian non-Hispanic0.88 (0.76-1.01).07
    Other non-Hispanic1.05 (0.57-1.33).52
Sexual orientation
    Heterosexual1.00 (referent)
    Gay or lesbian1.23 (1.04-1.47).02
    Bisexual1.12 (0.94-1.34).22
    Other0.87 (0.57-1.33).52
Gender
    Cisgender man1.00 (referent)
    Cisgender woman1.10 (1.04-1.16)<.001
    Transgender man1.07 (0.72-1.60).74
    Transgender woman1.26 (0.86-1.84).23
Primary language
    English1.00 (referent)
    Other0.91 (0.85-0.97).006
Insurance status
    Private insurance1.00 (referent)
    Uninsured0.95 (0.86-1.05).33
    Medicare1.07 (0.97-1.19).17
    Medicaid1.00 (0.93-1.08).91
    Other public0.9 (0.75-1.07).22
Clinicians
Age, per year1.01 (0.98-1.04).60
Race/ethnicity
    White non-Hispanic1.00 (referent)
    Black non-Hispanic0.86 (0.37-1.99).72
    Hispanic1.30 (0.51-3.29).58
    Other non-Hispanic0.92 (0.41-1.67).59
Sexual orientation
    Heterosexual1.00 (referent)
    Gay or pansexual1.26 (0.07-23.3).88
Gender identity
    Cisgender man1.00 (referent)
    Cisgender woman1.80 (1.00-3.21).048
Years of employment0.98 (0.95-1.02).37
Clinical credentials
    Advanced practice registered nurse1.00 (referent)
    Medical doctor0.99 (0.49-2.01).99
    Physician assistant1.07 (0.22-5.22).93
    Doctor of osteopathic medicine1.15 (0.31-4.21).83
Patient panel size, per patient0.99 (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.