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. 2023 Jan 12:1–10. Online ahead of print. doi: 10.1007/s10461-022-03973-2

Table 5.

Association between no-shows and sociodemographics by visit modality

Variables No-show vs 0 no-show
Adjusted OR (95% CI)
In-person Video Telephone
Age 0.98 (0.97, 0.98) 0.99 (0.97, 1.00) 0.98 (0.97, 0.98)
Income (Unit = $100,000) 1.00 (1.00, 1.00) 0.72 (0.23, 2.27) 0.71 (0.40, 1.28)
Gender
 Men 1.20 (1.07, 1.35) 1.62 (0.93, 2.81) 1.23 (0.98, 1.54)
 Transgender 1.92 (1.28, 2.87) 1.61 (0.18, 14.1) 0.65 (0.20, 2.11)
 Women Reference Reference Reference
Race/ethnicity
 White 0.83 (0.75, 0.92) 0.93 (0.64, 1.34) 0.91 (0.74, 1.12)
 Other 0.52 (0.38, 0.71) 0.34 (0.04, 2.67) 0.41 (0.21, 0.80)
 Black Reference Reference Reference
Housing status
 Permanent/stable 0.53 (0.46, 0.60) 0.37 (0.20, 0.69) 0.80 (0.52, 1.23)
 Temporary/unstable Reference Reference Reference
HIV risk factor
 MSM 0.82 (0.73, 0.92) 0.68 (0.41, 1.13) 0.81 (0.64, 1.02)
 Other 0.93 (0.76, 1.14) 1.05 (0.51, 2.18) 1.32 (0.88, 1.97)
 Heterosexual Reference Reference Reference

aLogistic regression model using generalized estimating equations accounting for repeat measures in individuals and within

bBold denotes statistical significance (p < 0.05)

cTransgender includes individuals transgender, transgender male-to-female, and transgender female-to-male

dOther race includes Asian, Native Hawaiian/Pacific Islander, American Indian or Alaska Native, and Other (including mixed race)

eOther risk factor includes Injection drug use (IDU), hemophilia/coagulation disorder, receipt of blood transfusion, blood components, or tissue, perinatal transmission, and MSM/IDU