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  • Key figures
  •  Data
  • Graphics
  • Comments
PRESCRIBERS
Main prescribers: Pseudo-prescriptions 69.85%
INSURED CONSUMERS
% of insured consumers 50.94%
Median age 75 years
Max/min ratio of the median age (by district) 1.00
Percentage of women 55.17%
Ratio Preferential scheme/General scheme 0.89
Coefficient of variation (2022) 15.24
Max/min ratio of % of insured consumers (by district) 1.67
CONSUMPTION
Annual consumption (DDD) 1,253,235
Consumption of DDD (per 100,000 insured persons) 52,491.65
% DDD issued outside the insurance (approximate) 5.23%
Average annual consumption per insured consumer (DDD) 1.03
% of insured consumers with > 3 times the average consumption 0,00%
Coefficient of variation 2015-2017 10.19
Coefficient of variation 2020-2022 13.71
Trend 2015-2022 -0.12%
Trend 2015-2019 -1.39%
Trend 2019-2022 1.61%
DIRECT EXPENDITURE (DDD)
Annual expenditure charged to the insurance 16,298,691
Average annual expenditure per insured person 6.83
Average patient share per insured consumer 22.15%
Max/min ratio of expenditure per insured person (by disctrict) 1.66
% “Low-cost” medication NA
Trend 2015-2022 7.65%
Trend 2019-2022 31.10%


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
J07BB INFLUENZA VACCINES

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.

Vaccination against influenza (except elderly/nurs. homes, >= 65 y.o.) (2022)

Older than or equal to 65 years

patients from elderly/nursing homes excluded

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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