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Table 2 Univariate and multivariable analyses

From: Prescription factors influencing baloxavir prescription during the 2018/2019 and 2019/2020 seasons: a administrative database study in Japan

 

Univariate

Multivariate

Odds ratio (95% CI)

P-value

Odds ratio (95% CI)

P-value

Age (years)

 ≥ 65

Reference

 

Reference

 

 12–64

1.050 (1.020–1.080)

 < 0.001

0.946 (0.919–0.975)

 < 0.001

 6–11

0.619 (0.596–0.644)

 < 0.001

0.612 (0.587–0.637)

 < 0.001

 ≤ 5

0.128 (0.120–0.137)

 < 0.001

0.119 (0.111–0.128)

 < 0.001

Sex

 Male

Reference

 

Reference

 

 Female

0.986 (0.966–1.010)

0.185

0.949 (0.928–0.969)

 < 0.001

Setting

 Outpatient

Reference

 

Reference

 

 Inpatient

0.378 (0.359–0.399)

 < 0.001

0.346 (0.327–0.366)

 < 0.001

Hospital beds

 20–299

Reference

 

Reference

 

 300–499

0.672 (0.657–0.688)

 < 0.001

0.727 (0.709–0.745)

 < 0.001

 ≥ 500

0.528 (0.512–0.544)

 < 0.001

0.559 (0.540–0.578)

 < 0.001

Type of hospital

 Public hospital

Reference

 

Reference

 

 Private hospital

1.190 (1.160–1.210)

 < 0.001

0.882 (0.861–0.904)

 < 0.001

 University hospital

0.853 (0.798–0.913)

 < 0.001

0.966 (0.900–1.040)

0.348

Seasons

 2018/2019 season

Reference

 

Reference

 

 2019/2020 season

0.173 (0.167–0.178)

 < 0.001

0.171 (0.165–0.176)

 < 0.001

  1. Main predictors for baloxavir prescription