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  • Key figures
  •  Data
  • Graphics
  • Comments
PRESCRIBERS
Main prescribers: General practitioners 77.03%
INSURED CONSUMERS
% of insured consumers 3.38%
Median age 78 years
Max/min ratio of the median age (by district) 1.05
Percentage of women 46.77%
Ratio Preferential scheme/General scheme 1.81
Coefficient of variation (2022) 16.88
Max/min ratio of % of insured consumers (by district) 2.59
CONSUMPTION
Annual consumption (DDD) 95,480,224
Consumption of DDD (per 100,000 insured persons) 832,572.59
% DDD issued outside the insurance (approximate) 2.37%
Average annual consumption per insured consumer (DDD) 246.66
% of insured consumers with > 3 times the average consumption 0.08%
Coefficient of variation (% of insured consumers) 2012-2014 20.15
Coefficient of variation (% of insured consumers) 2020-2022 10.14
Trend 2012-2022 10.75%
Trend 2012-2019 13.47%
Trend 2019-2022 4.63%
DIRECT EXPENDITURE (DDD)
Annual expenditure charged to the insurance 246,151,760
Average annual expenditure per insured person 21.46
Average patient share per insured consumer 5.99%
Max/min ratio of expenditure per insured person (by disctrict) 1.48
% “Low-cost” medication NA
Trend 2012-2022 31.43%
Trend 2019-2022 6.54%


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
B01AA VITAMIN K ANTAGONISTS
B01AE DIRECT THROMBIN INHIBITORS
B01AF DIRECT FACTOR XA INHIBITORS

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.

Oral anticoagulants (2022)

Older than or equal to 1 years

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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