TABLE 1—
Type of Primary Care Received | PrEP Users (n = 2047), No. | Non-PrEP Users (n = 3810), No. | Unadjusted PR = (95% CI) | Adjusted PR = (95% CI) |
Influenza vaccination (yes vs no) | 1109 | 1248 | 1.39 (1.31, 1.48) | 1.28 (1.20, 1.37) |
Tobacco screening (yes vs no) | 1782 | 2570 | 1.15 (1.12, 1.19) | 1.06 (1.02, 1.09) |
Depression screening (yes vs no) | 1847 | 2364 | 1.34 (1.30, 1.38) | 1.07 (1.04, 1.11) |
Hemoglobin A1c or glucose testing (yes vs no) | 1603 | 1588 | 1.78 (1.70, 1.85) | 1.64 (1.56, 1.72) |
Hemoglobin A1c testing (yes vs no) | 356 | 538 | 0.98 (0.87, 1.11) | 0.81 (0.71, 0.93) |
Glucose testing (yes vs no) | 1570 | 1414 | 1.94 (1.85, 2.03) | 1.78 (1.69, 1.88) |
Note. CI = confidence interval; PR = prevalence ratio. Sample sizes represent individuals who ever used PrEP or each type of primary care during the study period. We obtained unadjusted and adjusted PRs from Poisson models with generalized estimating equations to account for clustering among patients tested for rectal sexually transmitted infections, and thus included in the data set, in multiple years. Adjusted models included age, gender, race/ethnicity, insurance type, year, and number of visits, with diabetes, hypertension, and overweight or obesity additionally included in models for hemoglobin A1c and glucose testing.