Study type

Study topic

Disease /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Drug utilisation

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Other

Non-interventional study design, other

Prescription event monitoring
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(C01EB15) trimetazidine
trimetazidine

Medical condition to be studied

Angina pectoris
Population studied

Short description of the study population

Trimetazidine prescribed patients who consulted general practitioners, ophthalmologists and ENT specialists during the study periods in the five targeted countries.

Age groups

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

1920
Study design details

Main study objective

­Assess, per country, the proportion of prescriptions of TMZ for ophthalmological and/or ENT diagnoses (within the scope of its past indications) among the total prescriptions of TMZ after the restriction of its indications.

Outcomes

The primary end point was the proportion of TMZ prescriptions for ophthalmological and/or ENT diagnoses (within the scope of its past indications) among all TMZ prescriptions in the targeted prescribers of each country. Assess the extent of TMZ prescriptions: for ophthalmo or ENT diagnoses before and after the restriction of its indications by specialty (GPs, ophthalmo, ENT specialists), with regards to specialists’ characteristics, after the restriction of its indications by GPs in the cardiovascular indication and by GPs (FR, ES) for angina pectoris without other concomitant prescriptions for angina pectoris.

Data analysis plan

The statistical analysis was conducted using SAS® software Version 9.2 for Windows ™ (SAS Institute, North Carolina, USA).Continuous variables were described by the number of valid cases, the number of missing values, mean, standard deviation, median, Q1, Q3 and range.Categorical variables were described as the total number and relative percentage per category. The number of missing data was indicated and missing data was not taken into account for the calculation of the percentages. Confidence intervals of 95% were calculated for each item, when relevant. The statistical unit was the prescription (for extractions from PI database) or the dispensed prescription (for extractions from NDI database). Calculations were performed on raw data. Prescribers’ profile was described per country: age, gender and region. Summaries were reported at country level and by period (Reference period and assessment period) categorized according to the speciality.