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  • Key figures
  •  Data
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PRESCRIBERS
Main prescribers: General practitioners 71.89%
INSURED CONSUMERS
% of insured consumers 23.29%
Median age 50 years
Max/min ratio of the median age (by district) 1.06
Percentage of women 55.02%
Ratio Preferential scheme/General scheme 1.08
Coefficient of variation (2022) 10.92
Max/min ratio of % of insured consumers (by district) 1.55
CONSUMPTION
Annual consumption (DDD) 129,172,237
Consumption of DDD (per 100,000 insured persons) 1,122,368.23
% DDD issued outside the insurance (approximate) 30.72%
Average annual consumption per insured consumer (DDD) 48.19
% of insured consumers with > 3 times the average consumption 4,98%
Coefficient of variation 2013-2015 9.78
Coefficient of variation 2020-2022 18.35
Trend 2013-2022 -2.51%
Trend 2013-2019 -2.10%
Trend 2019-2022 -3.34%
DIRECT EXPENDITURE (DDD)
Annual expenditure charged to the insurance 36,147,667
Average annual expenditure per insured person 3.14
Average patient share per insured consumer 13.90%
Max/min ratio of expenditure per insured person (by disctrict) 1.82
% “Low-cost” medication 85.19%
Trend 2013-2022 -4.62%
Trend 2019-2022 -4.98%


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
M01AB ACETIC ACID DERIVATIVES AND RELATED SUBSTANCES
M01AC OXICAMS
M01AE PROPIONIC ACID DERIVATIVES
M01AH COXIBS
M01AX OTHER ANTIINFLAMMATORY AND ANTIRHEUMATIC AGENTS, NON-STEROIDS

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.

Non-steroidal anti-inflammatory drugs (nsaid) (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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