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. 2024 Aug 28;4(5):e451. doi: 10.1002/ski2.451

TABLE 3.

Multivariate logistic regression analysis of the association between antibiotic prescriptions and medical speciality in HS patient visits, adjusting for sex, race/ethnicity, insurance type, age, rural/urban status and Charlson comorbidity index.

Antibiotics versus no antibiotics OR (95% CI) p‐value
Visit type
Ambulatory non‐dermatology (Ref)
Ambulatory dermatology 1.88 (0.49–7.21) 0.35
Sex
Female (Ref)
Male 0.32 (0.07–1.45) 0.13
Age 1.03 (0.97–1.1) 0.34
Insurance type
Private insurance (Ref)
Medicare 0.61 (0.07–5.47) 0.65
Self‐pay 3.18 (0.31–33.04) 0.32
Medicaid 1.28 (0.22–7.31) 0.78
Other 0.41 (0.28–5.85) 0.50
Race
White (Ref)
Black 1.61 (0.41–6.28) 0.87
Hispanic 0.51 (0.09–3.01) 0.44
Other race 1.14 (0.11–11.02) 0.91
Charlson comorbidity index 0.62 (0.20–1.94) 0.40
Rural/Urban status
Urban (Ref)
Rural 0.16 (0.01–2.97) 0.21
F(12, 19) 0.54
Prob > F 0.86