Study type

Study topic

Human medicinal product

Study type

Non-interventional study

Scope of the study

Drug utilisation

Data collection methods

Secondary data collection
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

100000096303
ofloxacin
100000096304
ciprofloxacin
100000096308
norfloxacin
100000096309
lomefloxacin
100000096314
levofloxacin
100000096316
moxifloxacin
Population studied

Short description of the study population

The study population in each database will include all patients who contribute observation person-time at risk in each database during the study time period and meet the study selection criteria.

In each country, patients who meet all of the inclusion criteria and none of the exclusion criteria will be selected.
Inclusion Criteria
The inclusion criteria are:
• All patients with an active registration status during the study time period
• Continuous enrolment in the database for more than 12 months

Exclusion Criteria
Patients will be excluded if they are
• Missing age or sex

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)
Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Estimated number of subjects

800000
Study design details

Main study objective

The overall aim of this study is to evaluate the impact of the regulatory actions taken for fluoroquinolone containing medicinal products following the 2018 referral procedure, using healthcare databases of six European countries.

Data analysis plan

This is a drug utilization study with a time series analysis component to identify the potential impact of regulatory interventions on fluoroquinolones prescribing trends. An initial exploratory descriptive analysis will be conducted for each database-specific cohort. Crude and stratified incidence of drug use, drug discontinuation and use of alternative treatment use will be calculated. A Joinpoint regression model will be used to investigate changes in prescribing patterns over calendar time. Prescriber compliance with labelled warnings for use mentioned in the product information will be investigated, as well as, using incidence of drug use across indications and risk factors.
Documents
Study results
English (8.67 MB - PDF)View document