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. 2024 Mar 15;14(3):e083342. doi: 10.1136/bmjopen-2023-083342

Table 2.

Physician characteristics associated with antiviral prescribing for COVID-19

Physician characteristics Guideline-recommended antivirals (nirmatrelvir–ritonavir or molnupiravir) Nirmatrelvir–ritonavir Molnupiravir Ensitrelvir
aOR (95% CI) Adjusted P aOR (95% CI) Adjusted P aOR (95% CI) Adjusted P aOR (95% CI) Adjusted P
Gender
 Male Reference Reference Reference Reference
 Female 1.24
(0.88 to 1.74)
0.48 2.72
(1.04 to 7.16)
0.21 1.18
(0.83 to 1.68)
0.61 0.90
(0.50 to 1.61)
0.72
Age, years
 < 45 Reference Reference Reference Reference
 45–59 1.16
(0.87 to 1.54)
0.48 0.82
(0.43 to 1.58)
0.89 1.18
(0.88 to 1.59)
0.61 1.35
(0.79 to 2.29)
0.55
 ≥ 60 0.88
(0.66 to 1.16)
0.48 0.91
(0.48 to 1.73)
0.89 0.90
(0.67 to 1.22)
0.63 1.24
(0.72 to 2.13)
0.55
Patient volume
 Low Reference Reference Reference Reference
 Medium 1.04
(0.78 to 1.40)
0.76 0.95
(0.49 to 1.85)
0.89 1.04
(0.77 to 1.40)
0.81 0.64
(0.40 to 1.04)
0.36
 High 1.76
(1.31 to 2.38)
<0.001 1.80
(0.996 to 3.35)
0.16 1.65
(1.23 to 2.21)
0.004 0.81
(0.51 to 1.28)
0.55

We examined the associations of physician characteristics (gender, age and patient volume) with prescription of guideline-recommended antivirals using a logistic regression model that adjusted for patient characteristics (gender, age, number of comorbidities [0, 1 and≥2], and use of drugs contraindicated with nirmatrelvir–ritonavir) and indicators of months and regions. Clinic-level weights were applied. To account for multiple comparisons (five pairs for the analysis of each outcome), we adjusted P values for multiple comparisons using the Benjamini–Hochberg method. We considered a two-sided p<0.05 as statistically significant.

aOR, adjusted OR.