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Table 4 Monthly drug use density (expressed as RDD per 100 patient days) trends ß 2 in the medical service post-intervention compared to the effects of a hypothetical intervention at six control services according to regression analysis (P values in parentheses)

From: Feasibility and impact of an intensified antibiotic stewardship programme targeting cephalosporin and fluoroquinolone use in a tertiary care university medical center

 

Post-intervention trend changes β2

Service/department

Cephalosporins

Fluoroquinolones

Penicillins

TOTAL

Medical service

−0.517

−0.40

0.34

−1.102

(intervention)

(<0.001)

(<0.001)

(<0.001)

(<0.001)

Department A

−0.171

0.01

0.261

0.247

(control)

(0.024)

(ns)

(<0.001)

(0.041)

Department B

−0.40

0.451

−0.0579

0.0246

(control)

(<0.001)

(<0.001)

(0.1)

(ns)

Department C

0.057

−0.315

0.0501

−0.332

(control)

(ns)

(<0.001)

(ns)

(0.006)

Department D

−0.134

−0.0431

0.0418

−0.272

(control)

(0.077)

(ns)

(ns)

(0.024)

Department E

−0.278

−0.021

−0.0305

−0.534

(control)

(<0.001)

(ns)

(ns)

(<0.001)

Department F

−0.426

0.002

0.206

−0.454

(control)

(<0.001)

(ns)

(<0.001)

(<0.001)

Medical service

−0.292

−0.414

0.261

−0.882

versus controls*

(<0.001)

(<0.001)

(<0.001)

(<0.001)

  1. *Stata’s lincom command was applied to simply subtract the average β2 in the control (non-intervention) settings (rows 2–7) from the β2 in the medical service in which the intervention took place.