Study type

Study topic

Human medicinal product

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
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

(N03) ANTIEPILEPTICS
Population studied

Short description of the study population

The source population corresponds to all subjects active into the database at January the 1, 2015 and that, at this date, had at least 365 days of look-back period. Within such population, all subjects with ≥1 prescription of any AEDs (ATC: N03*) will be identified. For each subject, the first AED prescription (ATC: N03*) in the study period will be considered as the index prescription, and its date will be considered as the index date.
Subjects prescribed with AEDs in the 12 months before the index date (look-back period) will be excluded. In addition, we will exclude all subjects with active neoplasia or with history of neoplasia, identified as presence of prescription records and/or hospitalizations related to neoplasia during the look-back (i.e. use of antineoplastic drug (ATC: L01*), and/or hospital discharge records with a diagnosis of neoplasia (ICD-9-CM codes: 140*-208*; 230*-239*) in primary or secondary diagnosis field).

Age groups

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)

Special population of interest

Hepatic impaired
Immunocompromised
Pregnant women
Renal impaired

Estimated number of subjects

30000
Study design details

Main study objective

- describe the therapeutic pattern of generic vs branded antiepileptics (AEDs). - assess the risk profile of generic vs branded AEDs . -to describe the most frequent AEDs- related ADRs among users of generic vs branded AEDs.

Outcomes

All hospitalization and/or access to ED occurring during follow-up. All hospitalization and/or access to ED occurring during follow-up with a diagnosis of possible AEDs-related ADRs in primary or secondary diagnosis field.

Data analysis plan

- Descriptive analysis will be used to describe the most frequently prescribed active principles and exposure classes, proportions of switching, and the most frequent AEDs- related ADRs. - Propensity Score (PS) calculation: we will use PS matching to balance the baseline characteristics between subjects treated with brand vs generic AEDs. PS will be calculated on demographic, socio-economic and clinical variables, using the Stata routine PSmatch2 to perform nearest number matching with a caliper of 0.2. of the SD of PS. - Statistical analysis: Adjusted Cox regression models will be fitted to estimate the risk of hospitalization and/or access to ED for any cause and for AEDs-related ADRs among subjects exposed to generic vs branded AEDs. Analysis will be stratified according to different ATC codes.
Documents
Study, other information
English (35.31 KB - PDF)View document