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  • Key figures
  •  Data
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PRESCRIBERS
Main prescribers: General practitioners 73.49%
INSURED CONSUMERS
% of insured consumers 11.33%
Median age 58 years
Max/min ratio of the median age (by district) 1.05
Percentage of women 65.94%
Ratio Preferential scheme/General scheme 1.68
Coefficient of variation (2022) 11.56
Max/min ratio of % of insured consumers (by district) 1.62
CONSUMPTION
Annual consumption (DDD) 370,498,700
Consumption of DDD (per 100,000 insured persons) 3,219,236.42
% DDD issued outside the insurance (approximate) 1.48%
Average annual consumption per insured consumer (DDD) 284.06
% of insured consumers with > 3 times the average consumption 3,98%
Coefficient of variation 2013-2015 16.90
Coefficient of variation 2020-2022 13.38
Trend 2013-2022 1.88%
Trend 2013-2019 1.78%
Trend 2019-2022 2.10%
DIRECT EXPENDITURE (DDD)
Annual expenditure charged to the insurance 84,045,028
Average annual expenditure per insured person 7.30
Average patient share per insured consumer 21.90%
Max/min ratio of expenditure per insured person (by disctrict) 1.50
% “Low-cost” medication 95.42%
Trend 2013-2022 -5.44%
Trend 2019-2022 -1.58%


On this table, when a statistical test has been performed, the data showing a significant difference is displayed on an yellow background, otherwise on a grey background.

CODES (ATC-5) LABELS
N06AA NON-SELECTIVE MONOAMINE REUPTAKE INHIBITORS
N06AB SELECTIVE SEROTONIN REUPTAKE INHIBITORS
N06AG MONOAMINE OXIDASE A INHIBITORS
N06AX OTHER ANTIDEPRESSANTS

The codes mentioned above can be used in rates and expenses, or only in expenses. We invite you to consult the full report for more information.

Click below to see the graph illustrating the evolution of the breakdown by volume of ATC codes used for the rates.

Antidepressants (2022)

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2022

  • ATC codesATC codes
  • Age Sex CVAge, sex and CV
  • Rates by sexRates by sex
  • Reimbursement rateReimbursement rate
  • TrendsTrends by region
  • Trends breakTrends break
  • Dot PlotDot Plot
  • Funnel PlotFunnel plot
  • Provincial consumptionDDD per patient by province
  • DDD patientQuantity per patient
  • MapDistribution map
  • Low-costLow-cost DDD


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