Study type

Study type

Non-interventional study

Scope of the study

Drug utilisation
Non-interventional study

Non-interventional study design

Other
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(J01CA04) amoxicillin
(J01CR02) amoxicillin and beta-lactamase inhibitor
(J01CE02) phenoxymethylpenicillin
(J01CE05) pheneticillin
(J01CF05) flucloxacillin
(J01DC04) cefaclor
(J01FA01) erythromycin
(J01FA10) azithromycin
(J01FA09) clarithromycin
(J01CA01) ampicillin
Population studied

Age groups

Preterm newborn infants (0 – 27 days)
Term newborn infants (0 – 27 days)
Infants and toddlers (28 days – 23 months)
Children (2 to < 12 years)
Adolescents (12 to < 18 years)

Estimated number of subjects

3000000
Study design details

Main study objective

The primary objective is to investigate for each DB, the relationship,among the Drug Events, between the antibiotic dosing and the patient’s weight, stratified by:• type of antibiotic (ATC code),• care setting (Hospitalisation/No-Hospitalisation)

Outcomes

The primary objective is to investigate, for each DB, the relationshipamong the Drug Events, between the antibiotic dosing and the patient’s weight, stratified by:• type of antibiotic (ATC code),• care setting (Hospitalisation/No-Hospitalisation), The first secondary objective is to evaluate the frequency distribution of the different types of antibiotics in all DEs, stratified, for each DB, by:• care setting (Hospitalisation/No-Hospitalisation),• calendar year,• age group.The second secondary objective is to investigate, for each DB, the relationshipamong the Drug Events, between the antibiotic dosing and the patient’s BSA

Data analysis plan

Data extraction, transformation, derivation of specific variables will be done locally at each site by data custodians, using purpose-build software called Jerboa Reloaded. The results are transmitted to a central secured environment, namely, a Private Remote Research Environment (PRRE), for further processing and analyses. Since we expect a linear correlation, among the DEs, between the antibiotic dosing (expressed as mg/day) and the patient’s weight (expressed in kilos), this relationship will be investigated scatter-plotting the antibiotic dosing against the patient's weight and computing Pearson's correlation coefficient r.