Antibiotic use is a major driver of antimicrobial resistance; its monitoring is therefore essential to identify areas for improvement and to guide and evaluate antibiotic stewardship interventions.

Total Antibiotic Use

Antibiotic use in Switzerland varies significantly depending on the healthcare setting:

  • Outpatient setting: Prescriptions are typically issued by primary care physicians, pediatricians, walk-in clinics, group practices, and some specialists. This sector accounts for roughly 85% of all antibiotic use.
  • Inpatient setting: While hospitals account for a much smaller volume of total use, they manage severe, complex infections. Consequently, inpatient prescribing profiles are fundamentally different, relying more on diverse, broad-spectrum, and last-resort antibiotics.

Because the type of patients and pathogens differ vastly between sectors, effective antimicrobial stewardship requires targeted strategies tailored to both the community and hospital settings.

The charts present national data on antimicrobial use, stratified by linguistic region and by AWaRe category, and benchmarked against levels in other European countries. They are based on IQVIA™ Sales Data (Sell-In) from pharmaceutical industries to public pharmacies, self-dispensing physicians and hospitals. 

by Linguistic Region and Setting

by Linguistic Region and Setting

Antibiotic Use by Linguistic Region and Setting

The national One Health Action Plan of the Antibiotic Resistance Strategy (StAR) describes Switzerland’s strategy to combat antibiotic resistance between 2024 and 2027 and defines targets for antibiotic use in human medicine. The StAR Action Plan sets a target of 10.2 DDD per 1000 inhabitants per day for 2027, corresponding to a 4 % reduction in total antibiotic use in human medicine compared to the 2019 baseline.

About 85 % of antibiotics are prescribed in the outpatient sector. In Switzerland, antibiotic use varies by language region: it is higher in the French- and Italian-speaking regions than in the German-speaking region.

How to use interactive graph

Select your preferred data visualization using the toolbar buttons at the top left: Bar chart, Line chart, or Switzerland map.

  • Region: When using the Bar chart, use the "Region" drop-down menu to display data for a specific geographic region of interest.
  • Year: When using the Switzerland map, use the "Year" drop-down menu to inspect geographical distribution for a specific calendar year.
  • Setting: Use the drop-down menu to filter or combine data from ambulatory (outpatient) and hospital (inpatient) care settings.

When the mouse is moved over the graphs, an interactive toolbar appears allowing you to zoom, pan, or show data values on hover.

How to Read the Graph

The plots display total antibiotic use in Switzerland, measured in DID (defined daily doses per 1000 inhabitants per day).

  • What it means: A value of 10 DID means that roughly 1% of the population (10 out of 1000 people) receives a standard dose of an antibiotic on a typical day.
  • StAR Target: This data supports the monitoring of the StAR Action Plan, which aims to reduce overall consumption to 10.2 DID by 2027.

Abbreviations

  • DID: Defined Daily Dose (DDD) per 1000 inhabitants per day
  • FSO: Federal Statistical Office

Data structure and processing

Substances & Classification

For human medicine, antibiotic use is assessed for the substances relevant to the surveillance of antibiotic use and resistance, defined by four Anatomical Therapeutic Chemical (ATC) groups according to the WHO: intestinal anti-infectives (A07AA), antibacterials for systemic use (J01), antimycobacterials (J04A), and nitroimidazole derivatives (P01AB). 

Calculation of Antibiotic Use

To allow comparison over time, across regions raw consumption data (number of packages) are converted into standardised metrics, following the ATC classification and the defined daily dose (DDD) methodology of the WHO Collaborating Centre for Drug Statistics Methodology.

  • Conversion to DDDs: The total mass of active substance is divided by the WHO-assigned DDD value for the relevant ATC code and route of administration.
  • DDD per 1000 inhabitants per day (DID): The number of DDDs is divided by the population (from the Swiss Federal Statistical Office) and the number of days in the period, then multiplied by 1000. It estimates the share of the population treated daily with a given antibiotic.

IQVIA™ – National Sales Data

National monitoring of antibiotic consumption uses comprehensive pharmaceutical industry sales data (Sell-In) compiled by IQVIA™.

  • Collected data: Counts the total number of antibiotic packages sold directly by the pharmaceutical industry to primary distribution networks. Not restricted to acute care; also includes rehabilitation facilities, geriatric centres, psychiatric clinics, and certain nursing homes.
  • Distribution Channels: Covers three channels, grouped into outpatient and inpatient settings. The outpatient setting combines public pharmacies (APO) and self-dispensing physicians (SD), while the inpatient setting covers hospitals (SPI).
  • Network Scope: Allows measurement at the national level and across the three linguistic regions (German-speaking, including Liechtenstein; French-speaking; and Italian-speaking Switzerland).
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by Linguistic Region and AWaRe Categories

by Linguistic Region and AWaRe Categories

Antibiotic Use by Linguistic Region and AWaRe categories

The World Health Organization (WHO) has introduced a classification system for antibiotics that divides them into three categories: Access, Watch and Reserve (“AWaRe”). Antibiotics in the Access category should generally be preferred, as they are effective and contribute only moderately to the development of resistance compared with other antibiotics. The Watch category includes antibiotics intended for a limited number of indications and associated with a higher likelihood of promoting resistance; they are therefore a focus of programmes for appropriate antibiotic use and surveillance. Antibiotics in the Reserve category should be used exclusively as a last-resort treatment option.

The Swiss One Health Action Plan of the Antibiotic Resistance Strategy sets a target of 69% Access antibiotics by 2027.

How to use interactive graph

Display and filters

Select your preferred data visualization using the toolbar buttons at the top left (Bar chart, Line chart, Donut chart, or Switzerland map).

  • Linguistic Region: Refine the visualization by picking a specific geographic region from the "Region" drop-down menu (available on Bar, Line, and Donut charts).
  • AWaRe Categories: Filter the data using the "AWaRe" drop-down menu. You can select multiple categories simultaneously on Bar and Line charts, while the Switzerland map tracks a single category at a time.
  • Year: Use the "Year" drop-down menu to isolate a specific year when viewing the Donut chart or the Switzerland map.

When the mouse is moved over a graph, an interactive toolbar appears, enabling features such as zooming, panning, or displaying specific data points on hover.

How to read the chart

The charts show the distribution of antibiotic consumption in Switzerland across the AWaRe categories, expressed as a share of total consumption in percent. The calculation is based on defined daily doses (DDD).

  • What this means: A value of 60% for the "Access" category means that 60% of total antibiotic consumption, measured in DID, falls into this category.
  • StAR target: Progress is measured against the FOPH's StAR target for 2027, according to which the "Access" category should account for 69% of total consumption. A value of 60% would therefore be below the target: the share of Access antibiotics would need to increase by 2027 for the target to be met.

Abbreviations

  • AWaRe: Access, Watch, Reserve classification system  
  • DDD: Defined Daily Dose  
  • DID: Defined Daily Dose (DDD) per 1000 inhabitants per day  
  • FOPH: Federal Office of Public Health  
  • FSO: Federal Statistical Office

Data structure and processing

Substances & Classification

For human medicine, antibiotic use is assessed for the substances relevant to the surveillance of antibiotic use and resistance, defined by four Anatomical Therapeutic Chemical (ATC) groups according to the WHO: intestinal anti-infectives (A07AA), antibacterials for systemic use (J01), antimycobacterials (J04A), and nitroimidazole derivatives (P01AB). Antibiotics are then grouped in two complementary ways, both based on their ATC codes.

  • AWaRe Classification: Antibiotics are categorized based on the WHO Model List of Essential Medicines:
    • Access group: First-choice antibiotics for the most common infections, lower resistance potential.
    • Watch group: Antibiotics should be used more selectively
    • Reserve group: Antibiotics intended as last-resort options for serious infections caused by multidrug-resistant bacteria
  • Antibiotic Classes: Groups antibiotics by chemical structure, such as penicillins, cephalosporins, macrolides, and quinolones.
  • Two Complementary Views: Class shows which antibiotics are used most often; AWaRe shows how appropriate that use is, especially regarding bacterial resistance.

Calculation of Antibiotic Use

To allow comparison over time, across regions, and between healthcare settings, raw consumption data (number of packages) are converted into standardised metrics, following the ATC classification and the defined daily dose (DDD) methodology of the WHO Collaborating Centre for Drug Statistics Methodology.

  • Conversion to DDDs: The total mass of active substance is divided by the WHO-assigned DDD value for the relevant ATC code and route of administration.
  • DDD per 1000 inhabitants per day (DID): The number of DDDs is divided by the population (from the Swiss Federal Statistical Office) and the number of days in the period, then multiplied by 1000. It estimates the share of the population treated daily with a given antibiotic.

IQVIA™ – National Sales Data

National monitoring of antibiotic consumption uses comprehensive pharmaceutical industry sales data (Sell-In) compiled by IQVIA™.

  • Collected data: Counts the total number of antibiotic packages sold directly by the pharmaceutical industry to primary distribution networks. Not restricted to acute care; also includes rehabilitation facilities, geriatric centres, psychiatric clinics, and certain nursing homes.
  • Distribution Channels: Covers three channels, grouped into outpatient and inpatient settings. The outpatient setting combines public pharmacies (APO) and self-dispensing physicians (SD), while the inpatient setting covers hospitals (SPI).
  • Network Scope: Allows measurement at the national level and across the three linguistic regions (German-speaking, including Liechtenstein; French-speaking; and Italian-speaking Switzerland).
Additional information
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compared with European Countries

compared with European Countries

Antibiotic Use compared to European Countries

The ESAC-Net (European Surveillance of Antimicrobial Consumption Network), coordinated by the European Centre for Disease Prevention and Control (ECDC), collects and analyses data on antibiotic use in EU/EEA countries. In a European comparison, Switzerland's outpatient antibiotic use ranks among the lowest in Europe, while inpatient use falls in the middle range.

How to use interactive graph

Select your preferred data visualization using the toolbar buttons at the top left (Bar chart, Line chart, or European map).  

  • Country/Region: Filter the dataset using the "Region" drop-down menu, which supports selecting multiple regions or countries simultaneously.  
  • Calendar Year: Use the "Year" drop-down menu to isolate a specific year when viewing the Bar chart or the European map.  
  • Setting: Refine the visualization using the "Setting" drop-down menu to display data for the outpatient sector, inpatient sector, or both settings.  

When the mouse is moved over a graph, an interactive toolbar appears, enabling features such as zooming, panning, or displaying specific data points on hover.

How to Read the Graph

The plots display total antibiotic use in Switzerland and other countries, measured in DID (Defined daily doses per 1000 inhabitants per day).

  • What it means: A value of 10 DID means that roughly 1% of the population (10 out of 1000 people) receives a standard daily dose of an antibiotic on a typical day.
  • Bar Chart Details: The bar chart shows the antibiotic use (ATC group J01) by country (expressed as DDD per 1000 inhabitants per day) for the selected year. The data for Switzerland are additionally split per linguistic region. The value for "EU/EEA" is the mean value for all countries participating in ESAC-Net. You can choose for which setting (outpatient/ inpatient) the data should be displayed.  
  • Line Chart Details: The line chart visualizes historical trends in antibiotic use (ATC group J01) over time for multiple selected countries or regions simultaneously. This allows for a direct comparison of long-term use patterns across different regions. You can adjust the "Setting" menu to view these long-term trends specifically for the outpatient sector, inpatient sector, or both settings combined.  

Abbreviations

  • DDD: Defined daily dose  
  • DID: Defined daily dose (DDD) per 1000 inhabitants per day  
  • EEA: European Economic Area  
  • ESAC-Net: European Surveillance of Antimicrobial Consumption Network  
  • EU: European Union  
  • FSO: Federal Statistical Office  

     

     

Data structure and processing

Substances & Classification

For human medicine, antibiotic use is assessed for the substances relevant to the surveillance of antibiotic use and resistance, defined by four Anatomical Therapeutic Chemical (ATC) groups according to the WHO: intestinal anti-infectives (A07AA), antibacterials for systemic use (J01), antimycobacterials (J04A), and nitroimidazole derivatives (P01AB). Antibiotics are then grouped in two complementary ways, both based on their ATC codes.

  • AWaRe Classification: Sorts antibiotics into Access, Watch, and Reserve, plus a Not recommended category and some Unclassified substances.
  • Antibiotic Classes: Groups antibiotics by chemical structure, such as penicillins, cephalosporins, macrolides, and quinolones.
  • Two Complementary Views: Class shows which antibiotics are used most often; AWaRe shows how appropriate that use is, especially regarding bacterial resistance.

Calculation of Antibiotic Use

To allow comparison over time, across regions, and between healthcare settings, raw consumption data (number of packages) are converted into standardised metrics, following the ATC classification and the defined daily dose (DDD) methodology of the WHO Collaborating Centre for Drug Statistics Methodology.

  • Conversion to DDDs: The total mass of active substance is divided by the WHO-assigned DDD value for the relevant ATC code and route of administration.
  • DDD per 1000 inhabitants per day (DID): The number of DDDs is divided by the population (from the Swiss Federal Statistical Office) and the number of days in the period, then multiplied by 1000. It estimates the share of the population treated daily with a given antibiotic.

IQVIA™ – National Sales Data

National monitoring of antibiotic consumption uses comprehensive pharmaceutical industry sales data (Sell-In) compiled by IQVIA™.

  • Collected data: Counts the total number of antibiotic packages sold directly by the pharmaceutical industry to primary distribution networks. Not restricted to acute care; also includes rehabilitation facilities, geriatric centres, psychiatric clinics, and certain nursing homes.
  • Distribution Channels: Covers three channels, grouped into outpatient and inpatient settings. The outpatient setting combines public pharmacies (APO) and self-dispensing physicians (SD), while the inpatient setting covers hospitals (SPI).
  • Network Scope: Allows measurement at the national level and across the three linguistic regions (German-speaking, including Liechtenstein; French-speaking; and Italian-speaking Switzerland).

For the European comparison, the data are from ESAC-Net and are not collected by us but taken from existing surveillance sources. The figures are calculated by the ECDC, with DID values extracted directly from the official European Antimicrobial Consumption Dashboard (data extracted on 10 July 2025). ESAC-Net is a Europe-wide network of national surveillance systems that collects and analyses antimicrobial consumption across EU and EEA countries, in both the general population and the hospital sector.

Additional information
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Outpatient Antibiotic Use

The charts show the antibiotics actually dispensed to patients in the ambulatory setting, whether from a pharmacy or directly by certain physicians authorised to dispense medicines to their patients. In Switzerland, prescription data are mainly derived from claims submitted to health insurers, which are collated and centralised by santéservices ag. These data are supplemented by data from the Sentinella network, a group of general practitioners/internists and pediatricians who voluntarily report their prescriptions. This second source provides information not only on the quantity of antibiotics used, but also on the types of infection for which they are prescribed.

The data on antibiotic use are stratified by canton, medical specialty, indication, AWaRe category, and antibiotic class. 

by Cantons

by Cantons

Total Use by Canton

This chart illustrates the differences in antibiotic use between Swiss cantons. Across all years, the French-speaking region and Ticino show higher consumption than German-speaking Switzerland. These differences do not necessarily reflect differing medical needs, but rather varying prescribing practices and cultural attitudes regarding common infections.

How to use interactive graph

Select your preferred data visualization using the toolbar buttons at the top left (Bar chart, Line chart, or Switzerland map).

  • Canton: Filter data using the "Canton" drop-down menu (available on Bar and Line charts). You can select multiple cantons simultaneously.
  • Year: Use the "Year" drop-down menu to isolate a specific year when viewing the Bar chart or the Switzerland map.

When the mouse is moved over a graph, an interactive toolbar appears, enabling features such as zooming, panning, or displaying specific data points on hover.

How to Read the Graph

The plots display outpatient antibiotic use in Swiss cantons, measured in age- and sex-standardized DID (Defined Daily Doses per 1000 inhabitants per day) based on the patient's canton of residency.  

  • What it means: DID represents the average number of standard daily doses consumed per 1000 people each day. 

Abbreviations

  • DDD: Defined Daily Dose  
  • DID: Defined Daily Dose (DDD) per 1000 inhabitants per day  
  • FSO: Federal Statistical Office  
  • FOPH: Federal Office of Public Health

Data structure and processing

Substances & Classification

For human medicine, antibiotic use is assessed for the substances relevant to the surveillance of antibiotic use and resistance, defined by four Anatomical Therapeutic Chemical (ATC) groups according to the WHO: intestinal anti-infectives (A07AA), antibacterials for systemic use (J01), antimycobacterials (J04A), and nitroimidazole derivatives (P01AB). Antibiotics are then grouped in two complementary ways, both based on their ATC codes.

  • AWaRe Classification: Sorts antibiotics into Access, Watch, and Reserve, plus a Not recommended category and some Unclassified substances.
  • Antibiotic Classes: Groups antibiotics by chemical structure, such as penicillins, cephalosporins, macrolides, and quinolones.
  • Two Complementary Views: Class shows which antibiotics are used most often; AWaRe shows how appropriate that use is, especially regarding bacterial resistance.

Calculation of Antibiotic Use

To allow comparison over time, across regions, and between healthcare settings, raw consumption data (number of packages) are converted into standardised metrics, following the ATC classification and the defined daily dose (DDD) methodology of the WHO Collaborating Centre for Drug Statistics Methodology.

  • Conversion to DDDs: The total mass of active substance is divided by the WHO-assigned DDD value for the relevant ATC code and route of administration.
  • DDD per 1000 inhabitants per day (DID): The number of DDDs is divided by the population (from the Swiss Federal Statistical Office) and the number of days in the period, then multiplied by 1000. It estimates the share of the population treated daily with a given antibiotic.

santéservices ag – Health Insurance Claims Data

Outpatient prescription tracking uses mandatory health insurance claims data based on the Tariff Pool database, covering services billed to health insurers.

  • Collected Data: Tracks antibiotic packages dispensed in pharmacies, by self-dispensing physicians, or in hospital outpatient departments. The Tariff Pool covered 85% of the mandatory-insured population in 2015, rising to over 97% after 2019.
  • Uncaptured Data: Bills retained by the insured person (e.g. high deductible) and unsubmitted paper invoices are not captured.
  • Extrapolation: Raw data are scaled up in two steps: first to the full set of insurer records collected by SASIS AG, then to the entire Swiss population with mandatory insurance.
  • Standardisation: DID rates are directly standardised by age and sex to account for demographic differences between cantons.
Additional information
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by AWaRe Categories and Antibiotic Classes

by AWaRe Categories and Antibiotic Classes

Antibiotic Use by AWaRe and Antibiotic Categories

The World Health Organisation classifies antibiotics into three categories (AWaRe). Access antibiotics are first-line treatments that are effective and associated with a low risk of resistance: their use should be prioritised. Watch antibiotics have a broader spectrum of activity and a higher potential for resistance; they should be reserved for more specific situations. Reserve antibiotics are treatments of last resort, to be used only in cases of serious resistant infections.
 

For Switzerland and each canton, this chart shows the use of each AWaRe category or antibiotic class, expressed in age- and sex-standardised DDD per 1000 inhabitants per day or as a proportion of total use.

How to use interactive graph

Display and filters

Use the buttons in the toolbar at the top left to select the desired chart type: bar chart, line chart, map of Switzerland or sunburst chart.

  • Year: use the „Year" dropdown menu to select a specific year in the bar chart, the map of Switzerland or the sunburst chart.
  • Region: filter by a specific canton using the „Region" dropdown menu (available for the line chart and the sunburst chart).
  • Category: in the bar chart and the line chart, use the toggle to switch between the „AWaRe Group" and „Antibiotic Category" dimensions.
  • Subcategory: filter specific data groups using the „Subcategory" dropdown menu. In the bar chart and the line chart, several items can be selected at once; in the map of Switzerland, only one at a time.
  • Show as %: enable this option to convert the data from absolute values into percentage shares of total consumption.

Hovering over a chart with the mouse brings up an interactive toolbar that lets you zoom, pan the view or display individual data points on hover.

How to read the chart

The charts show outpatient antibiotic consumption in the Swiss cantons, broken down by AWaRe categories or antibiotic categories, measured in age- and sex-standardised DID (defined daily doses per 1000 inhabitants per day), attributed according to the patients' canton of residence.

  • What this means: DID indicates how many standard daily doses are dispensed on average per 1000 inhabitants per day. Alternatively, the share of individual AWaRe categories in total outpatient consumption can be shown.
  • Standardisation: to account for structural demographic differences between the cantonal populations, DID rates are directly standardised by age and sex.

Abbreviations

  • AWaRe: Access, Watch, and Reserve classification system  
  • DDD: Defined Daily Dose  
  • DID: Defined Daily Dose (DDD) per 1000 inhabitants per day  
  • FSO: Federal Statistical Office  

Data structure and processing

Substances & Classification

For human medicine, antibiotic use is assessed for the substances relevant to the surveillance of antibiotic use and resistance, defined by four Anatomical Therapeutic Chemical (ATC) groups according to the WHO: intestinal anti-infectives (A07AA), antibacterials for systemic use (J01), antimycobacterials (J04A), and nitroimidazole derivatives (P01AB). Antibiotics are then grouped in two complementary ways, both based on their ATC codes.

  • AWaRe Classification: Antibiotics are categorized based on the WHO Model List of Essential Medicines:
    • Access group: First-choice antibiotics for the most common infections, lower resistance potential.
    • Watch group: Antibiotics should be used more selectively
    • Reserve group: Antibiotics intended as last-resort options for serious infections caused by multidrug-resistant bacteria
  • Antibiotic Classes: Groups antibiotics by chemical structure, such as penicillins, cephalosporins, macrolides, and quinolones.
  • Two Complementary Views: Class shows which antibiotics are used most often; AWaRe shows how appropriate that use is, especially regarding bacterial resistance.

Calculation of Antibiotic Use

To allow comparison over time, across regions, and between healthcare settings, raw consumption data (number of packages) are converted into standardised metrics, following the ATC classification and the defined daily dose (DDD) methodology of the WHO Collaborating Centre for Drug Statistics Methodology.

  • Conversion to DDDs: The total mass of active substance is divided by the WHO-assigned DDD value for the relevant ATC code and route of administration.
  • DDD per 1000 inhabitants per day (DID): The number of DDDs is divided by the population (from the Swiss Federal Statistical Office) and the number of days in the period, then multiplied by 1000. It estimates the share of the population treated daily with a given antibiotic.

santéservices ag – Health Insurance Claims Data

Outpatient prescription tracking uses mandatory health insurance claims data based on the Tariff Pool database, covering services billed to health insurers.

  • Collected Data: Tracks antibiotic packages dispensed in pharmacies, by self-dispensing physicians, or in hospital outpatient departments. The Tariff Pool covered 85% of the mandatory-insured population in 2015, rising to over 97% after 2019.
  • Uncaptured Data: Bills retained by the insured person (e.g. high deductible) and unsubmitted paper invoices are not captured.
  • Extrapolation: Raw data are scaled up in two steps: first to the full set of insurer records collected by SASIS AG, then to the entire Swiss population with mandatory insurance.
  • Standardisation: DID rates are directly standardised by age and sex to account for demographic differences between cantons.
Additional information
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by Medical Specialties

by Medical Specialties

Antibiotic Use by Medical Specialty

In Switzerland, as in most countries, general practitioners prescribe the majority of antibiotics used outside hospital settings, serving as the primary point of contact for patients with common infections. Other medical specialities also contribute significantly to antibiotic use, notably paediatrics for infections in children, dermatology for skin infections, and gynaecology for urinary and genital infections. Group practices may be assigned to several specialities, as the physicians working there are trained in one or more medical specialities. 

This chart allows a comparison, for Switzerland and by canton, of the proportion of antibiotic use attributable to the medical specialities that prescribe them most frequently.

How to use interactive graph

Select your preferred data visualization using the toolbar buttons at the top left (Bar chart, Line chart, or Switzerland map).  

  • Specialty: Filter specific medical specialty types using the "Specialty" drop-down menu. Multiple specialties can be selected simultaneously on Bar and Line charts, while a single specialty is tracked on the Switzerland map.  
  • Canton: Filter by a specific canton from the "Canton" drop-down menu when viewing the Line chart.  
  • Year: Use the "Year" drop-down menu to isolate a specific year when viewing the Bar chart or the Switzerland map.  
  • Show as %: Activate to convert absolute antibiotic use rates into percentage shares.  

When the mouse is moved over a graph, an interactive toolbar appears, enabling features such as zooming, panning, or displaying specific data points on hover.  

How to Read the Graph

The plots display outpatient antibiotic use in Swiss cantons broken down by medical specialties, measured in age- and sex-standardized DID (Defined Daily Doses per 1000 inhabitants per day) based on the patient's canton of residency.  

  • What this means: A value of 3.2 DID for the specialty "General Internal Medicine" in the canton of Bern means that on a typical day, 3.2 out of 1000 residents of the canton of Bern receive a standard daily dose of an antibiotic prescribed within this specialty. That corresponds to around 0.3% of the cantonal population.

Abbreviations

  • AWaRe: Access, Watch, and Reserve classification system  
  • DDD: Defined Daily Dose  
  • DID: Defined Daily Dose (DDD) per 1000 inhabitants per day  
  • FSO: Federal Statistical Office  

Data structure and processing

Substances & Classification

For human medicine, antibiotic use is assessed for the substances relevant to the surveillance of antibiotic use and resistance, defined by four Anatomical Therapeutic Chemical (ATC) groups according to the WHO: intestinal anti-infectives (A07AA), antibacterials for systemic use (J01), antimycobacterials (J04A), and nitroimidazole derivatives (P01AB). Antibiotics are then grouped in two complementary ways, both based on their ATC codes.

  • AWaRe Classification: Sorts antibiotics into Access, Watch, and Reserve, plus a Not recommended category and some Unclassified substances.
  • Antibiotic Classes: Groups antibiotics by chemical structure, such as penicillins, cephalosporins, macrolides, and quinolones.
  • Two Complementary Views: Class shows which antibiotics are used most often; AWaRe shows how appropriate that use is, especially regarding bacterial resistance.

Calculation of Antibiotic Use

To allow comparison over time, across regions, and between healthcare settings, raw consumption data (number of packages) are converted into standardised metrics, following the ATC classification and the defined daily dose (DDD) methodology of the WHO Collaborating Centre for Drug Statistics Methodology.

  • Conversion to DDDs: The total mass of active substance is divided by the WHO-assigned DDD value for the relevant ATC code and route of administration.
  • DDD per 1000 inhabitants per day (DID): The number of DDDs is divided by the population (from the Swiss Federal Statistical Office) and the number of days in the period, then multiplied by 1000. It estimates the share of the population treated daily with a given antibiotic.

santéservices ag – Health Insurance Claims Data

Outpatient prescription tracking uses mandatory health insurance claims data based on the Tariff Pool database, covering services billed to health insurers.

  • Collected Data: Tracks antibiotic packages dispensed in pharmacies, by self-dispensing physicians, or in hospital outpatient departments. The Tariff Pool covered 85% of the mandatory-insured population in 2015, rising to over 97% after 2019.
  • Uncaptured Data: Bills retained by the insured person (e.g. high deductible) and unsubmitted paper invoices are not captured.
  • Extrapolation: Raw data are scaled up in two steps: first to the full set of insurer records collected by SASIS AG, then to the entire Swiss population with mandatory insurance.
  • Standardisation: DID rates are directly standardised by age and sex to account for demographic differences between cantons.
  • Medical Specialty Reassignment: If fewer than 4 physicians per medical specialty are recorded in the FMH physician registry for a canton in a given year, that specialty group is reassigned to "Others". The composition of "Others" may therefore differ between cantons and years. 
Additional information
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by Patient Age Groups and Sex

by Patient Age Groups and Sex

Antibiotic Use by Age Groups and Sex

Antibiotic use varies according to age and sex. It is generally higher among young children, due to the frequency of respiratory and ear, nose and throat infections at this age. It is also higher among older people, who are more prone to urinary and respiratory infections. In adults, antibiotic use is higher among women. This persists even after excluding antibiotics typically prescribed for urinary tract infections, suggesting that the difference is not solely driven by these infections, but may also reflect broader differences in healthcare utilisation and consultation behaviour between men and women. 

This chart illustrates these differences for Switzerland and by cantons.

How to use interactive graph

Select your preferred data visualization using the toolbar buttons at the top left (Bar chart, Line chart, or Switzerland map).  

  • Region: Filter data by picking a specific geographic region from the "Canton" drop-down menu when viewing the Bar chart or Line chart.  
  • Year: Use the "Year" drop-down menu to isolate a specific year when viewing the Bar chart or the Switzerland map.  
  • Age group: Refine the dataset using the "Age group" drop-down menu. You can check multiple age groups simultaneously on the Line chart, while a single age group is tracking on the Switzerland map.  

When the mouse is moved over a graph, an interactive toolbar appears, enabling features such as zooming, panning, or displaying specific data points on hover.  

How to Read the Graph

The plots display outpatient antibiotic use in Swiss cantons broken down by age groups and sex, based on the patient's canton of residency.

  • What this means: A value of 5.2 DID for men and 8.2 DID for women in the 31 to 40 age group means that on a typical day, 5.2 out of 1000 men and 8.2 out of 1000 women in this age group receive a standard daily dose of an antibiotic. Women in this age group therefore use around 60% more antibiotics than men of the same age.

     

Abbreviations

  • AWaRe: Access, Watch, and Reserve classification system  
  • DDD: Defined Daily Dose  
  • DID: Defined Daily Dose (DDD) per ,000 inhabitants per day  
  • FSO: Federal Statistical Office 

Data structure and processing

Substances & Classification

For human medicine, antibiotic use is assessed for the substances relevant to the surveillance of antibiotic use and resistance, defined by four Anatomical Therapeutic Chemical (ATC) groups according to the WHO: intestinal anti-infectives (A07AA), antibacterials for systemic use (J01), antimycobacterials (J04A), and nitroimidazole derivatives (P01AB). Antibiotics are then grouped in two complementary ways, both based on their ATC codes.

  • AWaRe Classification: Sorts antibiotics into Access, Watch, and Reserve, plus a Not recommended category and some Unclassified substances.
  • Antibiotic Classes: Groups antibiotics by chemical structure, such as penicillins, cephalosporins, macrolides, and quinolones.
  • Two Complementary Views: Class shows which antibiotics are used most often; AWaRe shows how appropriate that use is, especially regarding bacterial resistance.

Calculation of Antibiotic Use

To allow comparison over time, across regions, and between healthcare settings, raw consumption data (number of packages) are converted into standardised metrics, following the ATC classification and the defined daily dose (DDD) methodology of the WHO Collaborating Centre for Drug Statistics Methodology.

  • Conversion to DDDs: The total mass of active substance is divided by the WHO-assigned DDD value for the relevant ATC code and route of administration.
  • DDD per 1000 inhabitants per day (DID): The number of DDDs is divided by the population (from the Swiss Federal Statistical Office) and the number of days in the period, then multiplied by 1000. It estimates the share of the population treated daily with a given antibiotic.

santéservices ag – Health Insurance Claims Data

Outpatient prescription tracking uses mandatory health insurance claims data based on the Tariff Pool database, covering services billed to health insurers.

  • Collected Data:  Tracks antibiotic packages dispensed in pharmacies, by self-dispensing physicians, or in hospital outpatient departments. The Tariff Pool covered 85% of the mandatory-insured population in 2015, rising to over 97% after 2019.
  • Uncaptured Data: Bills retained by the insured person (e.g. high deductible) and unsubmitted paper invoices are not captured.
  • Extrapolation: Raw data are scaled up in two steps: first to the full set of insurer records collected by SASIS AG, then to the entire Swiss population with mandatory insurance.
  • Standardisation: DID rates are directly standardised by age and sex to account for demographic differences between cantons.
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by Medical Specialties and Patient Age Groups

by Medical Specialties and Patient Age Groups

Antibiotic Use by Medical Specialities and Patient Age Groups

The choice of antibiotic category depends on the type of infection. In children, pediatricians prescribe penicillins such as amoxicillin for ear, nose and throat and respiratory infections, while dermatologists rather use tetracyclines for skin infections. 

This chart illustrates which categories of antibiotics are favoured according to the medical specialty and the patient age group.

How to use interactive graph

Select your preferred data visualization using the toolbar buttons at the top left (Bar chart, Line chart, or Switzerland map).  

  • Specialty: Filter specific medical specialty types using the "Specialty" drop-down menu. Multiple specialties can be selected simultaneously on Bar and Line charts, while a single specialty is tracked on the Switzerland map.  
  • Canton: Filter by a specific canton from the "Canton" drop-down menu when viewing the Line chart.  
  • Year: Use the "Year" drop-down menu to isolate a specific year when viewing the Bar chart or the Switzerland map.  
  • Show as %: Activate to convert absolute antibiotic use rates into percentage shares.  

When the mouse is moved over a graph, an interactive toolbar appears, enabling features such as zooming, panning, or displaying specific data points on hover.  

How to Read the Graph

The plots display outpatient antibiotic consumption in Swiss cantons broken down by medical specialties, measured in sex-standardized DID (Defined Daily Doses per 1000 inhabitants per day) based on the patient's canton of residency.  

  • What this means: A value of, for example, 0.8 standardized DID for the specialty "Dermatology", the antibiotic class "Tetracyclines" and the 16 to 20 age group means that on a typical day, 0.8 out of 1000 residents in this age group receive a standard dose of a tetracycline prescribed by a dermatologist. 
  • Standardization: To account for structural demographic variations among cantonal populations, DID rates are directly standardized according to sex by applying the  swiss standard population.  

Abbreviations

  • DDD: Defined Daily Dose  
  • DID: Defined Daily Dose (DDD) per 1000 inhabitants per day  
  • FMH: Foederatio Medicorum Helveticorum (Swiss Medical Association)  
  • FSO: Federal Statistical Office  

     

Data structure and processing

Substances & Classification

For human medicine, antibiotic use is assessed for the substances relevant to the surveillance of antibiotic use and resistance, defined by four Anatomical Therapeutic Chemical (ATC) groups according to the WHO: intestinal anti-infectives (A07AA), antibacterials for systemic use (J01), antimycobacterials (J04A), and nitroimidazole derivatives (P01AB). Antibiotics are then grouped in two complementary ways, both based on their ATC codes.

  • AWaRe Classification: Sorts antibiotics into Access, Watch, and Reserve, plus a Not recommended category and some Unclassified substances.
  • Antibiotic Classes: Groups antibiotics by chemical structure, such as penicillins, cephalosporins, macrolides, and quinolones.
  • Two Complementary Views: Class shows which antibiotics are used most often; AWaRe shows how appropriate that use is, especially regarding bacterial resistance.

Calculation of Antibiotic Use

To allow comparison over time, across regions, and between healthcare settings, raw consumption data (number of packages) are converted into standardised metrics, following the ATC classification and the defined daily dose (DDD) methodology of the WHO Collaborating Centre for Drug Statistics Methodology.

  • Conversion to DDDs: The total mass of active substance is divided by the WHO-assigned DDD value for the relevant ATC code and route of administration.
  • DDD per 1000 inhabitants per day (DID): The number of DDDs is divided by the population (from the Swiss Federal Statistical Office) and the number of days in the period, then multiplied by 1000. It estimates the share of the population treated daily with a given antibiotic.

santéservices ag – Health Insurance Claims Data

Outpatient prescription tracking uses mandatory health insurance claims data based on the Tariff Pool database, covering services billed to health insurers.

  • Collected Data: Tracks antibiotic packages dispensed in pharmacies, by self-dispensing physicians, or in hospital outpatient departments. The Tariff Pool covered 85% of the mandatory-insured population in 2015, rising to over 97% after 2019.
  • Uncaptured Data: Bills retained by the insured person (e.g. high deductible) and unsubmitted paper invoices are not captured.
  • Extrapolation: Raw data are scaled up in two steps: first to the full set of insurer records collected by SASIS AG, then to the entire Swiss population with mandatory insurance.
  • Standardisation: DID rates are directly standardised by age and sex to account for demographic differences between cantons. 
  • Medical Specialty Reassignment: If fewer than 4 physicians per medical specialty are recorded in the FMH physician registry for a canton in a given year, that specialty group is reassigned to "Others". The composition of "Others" may therefore differ between cantons and years.  
Additional information
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by Indications

by Indications

Antibiotic Use by Indications

Antibiotics are prescribed to treat a variety of infections. Most frequently they are prescribed for respiratory, urinary and skin and soft tissue infections. 

This chart shows the frequency of each indication for which antibiotics were prescribed, expressed in a number of prescriptions (per consultations or population) or in a percentage of total. 

How to use interactive graph

Display and filters

Select the chart type you want using the toolbar buttons at the top left: Bar chart, Line chart, or Donut chart.

  • Year: When using the Donut chart, use the "Year" drop-down menu to select a specific year.
  • Prescriber Type: Filter the chart by prescriber using the "Prescriber Type" drop-down menu (GP / Internist or Pediatrician).
  • Unit: When using the Bar chart or Line chart, use the "Unit" drop-down menu to display values either as prescriptions per 1,000 consultations or per 100,000 inhabitants.
  • Respiratory infections: Turn on the "Group respiratory indications" option to combine the respiratory infection indications.
  • Show as %: Turn on this option to display the relative distribution of indications as a percentage of total prescriptions.

When you move the mouse over a chart, an interactive toolbar appears, allowing you to zoom, pan, or display individual data points on hover.

How to Read the Chart

The charts show antibiotic prescription frequency in the Swiss outpatient sector, broken down by clinical indication.

  • What it means: The values show the clinical indications for which an antibiotic is prescribed, such as respiratory tract infections, urinary tract infections, or otitis media. This lets you trace how often antibiotics are prescribed per indication, expressed either per 1,000 consultations or per 100,000 inhabitants. A value of 0.4 for the indication "Sinusitis" and the antibiotic class "Comb. of penicillins", for example, means that GPs and internists issued 0.4 prescriptions of a penicillin combination for sinusitis per 1,000 consultations that year.

Abbreviations

  • FMH: Foederatio Medicorum Helveticorum (Swiss Medical Association)  
  • FOPH: Federal Office of Public Health  

Data structure and processing

Calculation of Antibiotic Use

In the outpatient setting, prescribing from the Sentinella network is expressed as standardised metrics to allow comparison over time.

  • Standardisation: The number of prescriptions is divided by the number of consultations (face-to-face and home visits) and multiplied by 1000, giving prescriptions per 1000 consultations.
  • Alternative Denominator: Prescriptions can also be expressed per 100'000 inhabitants, based on the population receiving primary care from physicians in the Sentinella network.

Sentinella – Outpatient Prescription Surveillance Data

Prescription indications are derived from the Swiss Sentinel Surveillance Network ("Sentinella"), a collaborative project between general practitioners, the Federal Office of Public Health (FOPH), and university institutes for family medicine.

  • Collected Data: Participants complete a weekly questionnaire on the number of consultations (face-to-face and home visits) and, for each case, their choice of antibiotic and the indication, as judged by the physician.
  • Exclusions: Observations from members who reported irregularly (fewer than 39 weeks per year or fewer than one prescription per week) are excluded.
  • Network Scope: The network comprises approximately 140 general practitioners and 25 paediatricians across Switzerland. Although participation is voluntary and may attract physicians with a particular interest in infectious diseases, the network is considered fairly representative of Swiss primary care physicians.
Additional information
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by Indications and Antibiotic Classes

by Indications and Antibiotic Classes

Antibiotic Use by Indications and Antibiotic Class

Antibiotics are prescribed to treat a variety of infections. Most frequently they are prescribed for respiratory, urinary and skin and soft tissue infections. 

This chart shows the frequency of each indication and antibiotic classes for which antibiotics were prescribed, expressed in a number of prescriptions (per consultations or population) or in a percentage of total. 

How to use interactive graph

Display and filters

Select the chart type you want using the toolbar buttons at the top left: Bar chart, Line chart, or Donut chart.

  • Year: When using the Donut chart, use the "Year" drop-down menu to select a specific year.
  • Prescriber Type: Filter the chart by prescriber using the "Prescriber Type" drop-down menu (GP / Internist or Pediatrician).
  • Unit: When using the Bar chart or Line chart, use the "Unit" drop-down menu to display values either as prescriptions per 1,000 consultations or per 100,000 inhabitants.
  • Respiratory infections: Turn on the "Group respiratory indications" option to combine the respiratory infection indications.
  • Show as %: Turn on this option to display the relative distribution of indications as a percentage of total prescriptions.

When you move the mouse over a chart, an interactive toolbar appears, allowing you to zoom, pan, or display individual data points on hover.

How to Read the Chart

The charts show antibiotic prescription frequency in the Swiss outpatient sector, broken down by clinical indication.

  • What it means: The values show the clinical indications for which an antibiotic is prescribed, such as respiratory tract infections, urinary tract infections, or otitis media. This lets you trace how often antibiotics are prescribed per indication, expressed either per 1,000 consultations or per 100,000 inhabitants. A value of 0.4 for the indication "Sinusitis" and the antibiotic class "Comb. of penicillins", for example, means that GPs and internists issued 0.4 prescriptions of a penicillin combination for sinusitis per 1,000 consultations that year.

 

Abbreviations

  • FMH: Foederatio Medicorum Helveticorum (Swiss Medical Association)  
  • FOPH: Federal Office of Public Health  

Data structure and processing

Calculation of Antibiotic Use

In the outpatient setting, prescribing from the Sentinella network is expressed as standardised metrics to allow comparison over time.

  • Standardisation: The number of prescriptions is divided by the number of consultations (face-to-face and home visits) and multiplied by 1000, giving prescriptions per 1000 consultations.
  • Alternative Denominator: Prescriptions can also be expressed per 100'000 inhabitants, based on the population receiving primary care from physicians in the Sentinella network.

Sentinella – Outpatient Prescription Surveillance Data

Prescription indications are derived from the Swiss Sentinel Surveillance Network ("Sentinella"), a collaborative project between general practitioners, the Federal Office of Public Health (FOPH), and university institutes for family medicine.

  • Collected Data: Participants complete a weekly questionnaire on the number of consultations (face-to-face and home visits) and, for each case, their choice of antibiotic and the indication, as judged by the physician.
  • Exclusions: Observations from members who reported irregularly (fewer than 39 weeks per year or fewer than one prescription per week) are excluded.
  • Network Scope: The network comprises approximately 140 general practitioners and 25 paediatricians across Switzerland. Although participation is voluntary and may attract physicians with a particular interest in infectious diseases, the network is considered fairly representative of Swiss primary care physicians.
Additional information
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by Guideline Adherence

by Guideline Adherence

Antibiotic Use by Guideline Adherence

Based on antibiotic prescriptions in the Sentinella network, one prescription in five fails to follow national guidelines, most notably for sinusitis and pharyngitis. Although new national guidelines were issued in 2019, they have led to only limited progress.

This chart shows the proportion of recommended/non-recommended antibiotic prescriptions by clinical indication since the introduction of national guidelines, expressed in a percentage of total. 

How to use interactive graph

Display and filters

Select the chart type you want using the toolbar buttons at the top left: Bar chart, Line chart, or Donut chart.

  • Year: Use the "Year" drop-down menu to select a specific year.
  • Prescriber Type: Filter the chart by prescriber using the "Prescriber Type" drop-down menu (GP / Internist or Pediatrician).
  • Recommended vs. Not recommended: When this option is off, prescriptions are split into "First-line", "Second-line", and "Not recommended". When it is on, first- and second-line treatments are combined into "Recommended" and shown against the not recommended prescriptions.

When you move the mouse over a chart, an interactive toolbar appears, allowing you to zoom, pan, or display individual data points on hover.

How to read the chart

The charts show antibiotic prescription frequency among a selection of physicians, broken down by clinical indication.

  • What it means: The values show antibiotic prescriptions according to whether they are first-line, second-line, or not recommended under the guidelines of the Swiss Society of Infectious Diseases.

Abbreviations

  • FMH: Foederatio Medicorum Helveticorum (Swiss Medical Association)  
  • FOPH: Federal Office of Public Health  

Data structure and processing

Calculation of Antibiotic Use

In the outpatient setting, prescribing from the Sentinella network is expressed as standardised metrics to allow comparison over time.

  • Standardisation: The number of prescriptions is divided by the number of consultations (face-to-face and home visits) and multiplied by 1000, giving prescriptions per 1000 consultations.
  • Alternative Denominator: Prescriptions can also be expressed per 100'000 inhabitants, based on the population receiving primary care from physicians in the Sentinella network.

Sentinella – Outpatient Prescription Surveillance Data

Prescription indications are derived from the Swiss Sentinel Surveillance Network ("Sentinella"), a collaborative project between general practitioners, the Federal Office of Public Health (FOPH), and university institutes for family medicine.

  • Collected Data: Participants complete a weekly questionnaire on the number of consultations (face-to-face and home visits) and, for each case, their choice of antibiotic and the indication, as judged by the physician.
  • Exclusions: Observations from members who reported irregularly (fewer than 39 weeks per year or fewer than one prescription per week) are excluded.
  • Network Scope: The network comprises approximately 140 general practitioners and 25 paediatricians across Switzerland. Although participation is voluntary and may attract physicians with a particular interest in infectious diseases, the network is considered fairly representative of Swiss primary care physicians.
  • Definition of a recommended antibiotic prescription: For indications with a national guideline, the antibiotics listed in the guideline were assigned to a corresponding antibiotic category in the Sentinella dataset. The guidelines distinguish between first-line and second-line treatments, the latter usually reserved for specific cases such as allergies or comorbidities. Prescriptions are categorised as "Not recommended" if their antibiotic category is not mentioned at all in the guideline for the clinical indication in question. This is based on the study of Dunaiceva et al. in Swiss Medical Weekly.
Additional information
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Inpatient Antibiotic Use

The charts show the antibiotics actually used in the hospital setting, whether for the entire hospital or for the intensive care unit (ICU). Relative to the number of bed-days, antibiotic use is highest in intensive care units. Patients, who are often in a critical condition, frequently receive broad-spectrum empirical treatment due to life-threatening diseases. Furthermore, these patients have numerous risk factors for infection: invasive devices (mechanical ventilation, central venous catheters), immunosuppression, and multiple comorbidities. This combination promotes both the acquisition of healthcare-associated infections and the selection of resistant strains under antibiotic pressure.


The data on antimicrobial use are stratified by linguistic region, AWaRe category or antibiotic class, and hospital size, for entire hospitals and for intensive care units. They are based on data collected from a network of hospitals and expressed in defined daily doses (DDD) per 100 bed-days.

by Linguistic Region

by Linguistic Region

The chart shows antibiotic consumption stratified by language region. Unlike in the outpatient sector, there are no notable differences between the French- and German-speaking parts of Switzerland in the hospital sector. Consumption in the Italian-speaking region is somewhat lower, probably because it has no university hospital.

How to use interactive graph

Views and Filtering

Select your preferred data visualisation using the toolbar buttons at the top left (Switzerland map, bar chart, or line chart).

  • Ward: Use the "Ward" drop-down menu to restrict the data to the entire hospital or specifically to adult intensive care units (ICUs).
  • Region: When using the bar chart, filter by a specific geographic area using the "Region" drop-down menu.
  • Calendar Year: When using the Switzerland map, use the "Year" drop-down menu to isolate a specific year.

When the mouse is moved over a graph, an interactive toolbar appears, enabling features such as zooming, panning, and displaying specific data points on hover.

How to Read the Graph

The plots display inpatient antibiotic consumption in Switzerland and its three language regions, measured in DDD per 100 bed-days.

  • What it means: This metric serves as a standardised proxy for the total consumption of antibiotics relative to hospital activity.
  • Example: An observed value of 50 DDD per 100 bed-days indicates that for every 100 collective days of inpatient care, 50 standardised daily adult doses of antibiotics were administered.
  • Interpretation: As a rough illustration, if each treated patient received exactly one standard daily dose, this would mean that about half of the patients (50%) receive an antibiotic on a typical day. In reality, the actual percentage varies because clinical doses and combination therapies differ from patient to patient.

Abbreviations

  • DDD: Defined Daily Dose  
  • FOPH: Federal Office of Public Health  
  • ICU: Intensive Care Unit 

Data structure and processing

Substances & Classification

For human medicine, antibiotic use is assessed for the substances relevant to the surveillance of antibiotic use and resistance, defined by four Anatomical Therapeutic Chemical (ATC) groups according to the WHO: intestinal anti-infectives (A07AA), antibacterials for systemic use (J01), antimycobacterials (J04A), and nitroimidazole derivatives (P01AB).

Calculation of Antibiotic Use

To allow comparison over time, across regions, and between healthcare settings, raw consumption data (number of packages) are converted into standardised metrics, following the ATC classification and the defined daily dose (DDD) methodology of the WHO Collaborating Centre for Drug Statistics Methodology.

  • Conversion to DDDs: The total mass of active substance is divided by the WHO-assigned DDD value for the relevant ATC code and route of administration.
  • Standardisation: The number of DDDs is divided by a measure of hospital activity, expressed as DDD per 100 bed-days or per 100 admissions.
  • Aggregation: Unless otherwise indicated, the total DDDs and total bed-days across all clinics are summed and used to calculate a single overall value. For clinic-level metrics, DDD per 100 bed-days is first calculated for each clinic, and the mean of these values is then reported.

Data Source & Scope

Inpatient antibiotic consumption is monitored using data from the network of acute care hospitals and private clinics participating voluntarily in the ANRESIS surveillance system.

  • Collected Data: Either the volume of antibiotic packages dispatched to wards, or patient-level administration data. Covers entire hospital sites and adult ICUs.
  • Network Scope: Around 75 sites, covering 55–60% of acute care hospitals and 70–80% of inpatient bed-days in Switzerland.
  • Exclusions:  ambulatory, rehabilitation, and long-term care units are excluded.
  • Denominators: Acute care focus allows bed-days and admissions to be used as denominators.
Additional information
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by AWaRe and Antibiotic Categories

by AWaRe and Antibiotic Categories

by AWaRe and antibiotic categories

The World Health Organization (WHO) AWaRe system classifies antibiotics into three categories: Access, Watch, and Reserve. Access antibiotics are generally preferred due to their effectiveness and lower risk of driving resistance. Watch antibiotics are indicated for specific infections and carry a higher risk of resistance development, while Reserve antibiotics should be strictly limited to last-resort treatments.

In Swiss hospitals, the consumption of Access and Watch antibiotics has remained stable in recent years. Across Switzerland as a whole, overall Access consumption is slightly higher than Watch consumption, while Reserve use remains exceptionally low at approximately 1%. Notably, regional differences exist. While the Italian-speaking region exhibits lower total antibiotic use, likely due to the absence of university hospitals, it uses a higher proportion of Watch and Reserve antibiotics than the French- and German-speaking regions.

How to use interactive graph

Views and Filtering

Select your preferred view using the toolbar buttons at the top left (bar chart, line chart, or map).

  • Ward: Use the "Ward" drop-down menu to limit the data to a specific ward (e.g. entire hospital or adult intensive care units).
  • Category Switch: Use the switch to change the main view between AWaRe category and antibiotic class.
  • Subcategory Dropdown: Use the "Subcategory" drop-down menu to filter specific antibiotic subdivisions. You can select several subcategories at once on the bar and line charts, while the map shows one subcategory at a time.
  • Region: Use the "Region" drop-down menu to filter by a specific geographic area when viewing the line chart.
  • Calendar Year: Use the "Year" drop-down menu to filter by time. The bar and map views show a single year, while the line chart can show several years at once.
  • Show as %: Turn on this switch in any view to show the values as percentage shares of total consumption instead of raw amounts.

When you move the mouse over a graph, an interactive toolbar appears, with options such as zooming, panning, and showing specific data points on hover.

How to Read the Graph

The plots display inpatient antibiotic consumption in Switzerland and its language regions.

  • What it means: This metric measures total antibiotic consumption in relation to hospital activity, expressed in DDD per 100 bed-days. A value of 24.1 for the AWaRe category "Watch" in the Italian-speaking region, for example, means that 24.1 daily doses of Watch antibiotics were administered per 100 bed-days there. When "Show as %" is turned on, the share of that category in total consumption is shown instead.

Abbreviations

  • ATC: Anatomical Therapeutic Chemical classification system  
  • AWaRe: Access, Watch, and Reserve classification system  
  • DDD: Defined Daily Dose  
  • WHO: World Health Organization  

Data structure and processing

Substances & Classification

For human medicine, antibiotic use is assessed for the substances relevant to the surveillance of antibiotic use and resistance, defined by four Anatomical Therapeutic Chemical (ATC) groups according to the WHO: intestinal anti-infectives (A07AA), antibacterials for systemic use (J01), antimycobacterials (J04A), and nitroimidazole derivatives (P01AB). Antibiotics are then grouped in two complementary ways, both based on their ATC codes.

  • AWaRe Classification: Antibiotics are categorized based on the WHO Model List of Essential Medicines:
    • Access group: First-choice antibiotics for the most common infections, lower resistance potential.
    • Watch group: Antibiotics should be used more selectively
    • Reserve group: Antibiotics intended as last-resort options for serious infections caused by multidrug-resistant bacteria
  • Antibiotic Classes: Groups antibiotics by chemical structure, such as penicillins, cephalosporins, macrolides, and quinolones.
  • Two Complementary Views: Class shows which antibiotics are used most often; AWaRe shows how appropriate that use is.

Calculation of Antibiotic Use

To allow comparison over time, across regions, and between healthcare settings, raw consumption data (number of packages) are converted into standardised metrics, following the ATC classification and the defined daily dose (DDD) methodology of the WHO Collaborating Centre for Drug Statistics Methodology.

  • Conversion to DDDs: The total mass of active substance is divided by the WHO-assigned DDD value for the relevant ATC code and route of administration.
  • Standardisation: The number of DDDs is divided by a measure of hospital activity, expressed as DDD per 100 bed-days or per 100 admissions.
  • Aggregation: Unless otherwise indicated, the total DDDs and total bed-days across all clinics are summed and used to calculate a single overall value. For clinic-level metrics, DDD per 100 bed-days is first calculated for each clinic, and the mean of these values is then reported.

Data Source & Scope

Inpatient antibiotic consumption is monitored using data from the network of acute care hospitals and private clinics participating voluntarily in the ANRESIS surveillance system.

  • Collected Data: Either the volume of antibiotic packages dispatched to wards, or patient-level administration data. Covers entire hospital sites and adult ICUs.
  • Network Scope: Around 75 sites, covering 55–60% of acute care hospitals and 70–80% of inpatient bed-days in Switzerland.
  • Exclusions:  ambulatory, rehabilitation, and long-term care units are excluded.
  • Denominators: Acute care focus allows bed-days and admissions to be used as denominators.
Additional information
Close

by Hospital Size

by Hospital Size

Antibiotic consumption and type vary significantly by hospital size

Acute care hospitals are grouped into five categories: <100 beds, 100–199 beds, 200–299 beds, 300–599 beds, and ≥ 600 beds. Larger hospitals (including university hospitals) generally use more antibiotics because of more complex cases, but considerable differences exist within each group.

How to use interactive graph

Views and Filtering

Select your preferred data visualization using the toolbar buttons at the top left (Per category (Vertical), Per category (Horizontal), Stacked bar, or Per hospital class).

  • Ward: Restrict the dataset to specific hospital spaces using the "Ward" drop-down menu (e.g., entire hospital or adult intensive care units).
  • Category Switch: Use the dual button toggle to switch the primary evaluation dimension between AWaRe Group and Antibiotic Category.
  • Subcategory Dropdown: Filter specific antibiotic subdivisions using the "Subcategory" drop-down menu. Multiple subcategories can be checked simultaneously across all views.
  • Calendar Year: Filter by time using the "Year" drop-down menu. Single years are isolated for stacked or per-category charts, while a multi-year selection can be configured for the hospital class view.
  • 95% CI: Activate this slider toggle on the line-based or vertical layouts to show or hide the 95% Confidence Interval error bands. 
  • Show as %: Toggle this switch to convert raw volumetric metrics into relative percentage shares of total consumption.

When the mouse is moved over a graph, an interactive toolbar appears, enabling features such as zooming, panning, or displaying specific data points on hover.

How to Read the Graph

The plots display inpatient antibiotic consumption grouped across distinct Swiss hospital classes.

  • What it means: This metric measures total antibiotic consumption in relation to hospital activity, expressed in DDD per 100 bed-days. A value of 32 for the AWaRe category "Access" in hospitals with 600 or more beds, for example, means these hospitals administered an average of 32 daily doses of Access antibiotics per 100 bed-days. The "±6.1" is the 95% confidence interval: the true average most likely lies between about 26 and 38. The wider the range, the less certain the value, usually because it is based on few hospitals (here n = 5).
  • Aggregation: Since the values are available at clinic level, the value shown for a hospital size is the mean of the individual clinics. This mean is given with a 95% confidence interval, which can be shown or hidden using the "95% CI" toggle.

Data structure and processing

Substances & Classification

For human medicine, antibiotic use is assessed for the substances relevant to the surveillance of antibiotic use and resistance, defined by four Anatomical Therapeutic Chemical (ATC) groups according to the WHO: intestinal anti-infectives (A07AA), antibacterials for systemic use (J01), antimycobacterials (J04A), and nitroimidazole derivatives (P01AB). Antibiotics are then grouped in two complementary ways, both based on their ATC codes.

  • AWaRe Classification: Sorts antibiotics into Access, Watch, and Reserve, plus a Not recommended category and some Unclassified substances.
  • Antibiotic Classes: Groups antibiotics by chemical structure, such as penicillins, cephalosporins, macrolides, and quinolones.
  • Two Complementary Views: Class shows which antibiotics are used most often; AWaRe shows how appropriate that use is.

Calculation of Antibiotic Use

To allow comparison over time, across regions, and between healthcare settings, raw consumption data (number of packages) are converted into standardised metrics, following the ATC classification and the defined daily dose (DDD) methodology of the WHO Collaborating Centre for Drug Statistics Methodology.

  • Conversion to DDDs: The total mass of active substance is divided by the WHO-assigned DDD value for the relevant ATC code and route of administration.
  • Standardisation: The number of DDDs is divided by a measure of hospital activity, expressed as DDD per 100 bed-days or per 100 admissions.
  • Aggregation: Unless otherwise indicated, the total DDDs and total bed-days across all clinics are summed and used to calculate a single overall value. For clinic-level metrics, DDD per 100 bed-days is first calculated for each clinic, and the mean of these values is then reported.

Data Source & Scope

Inpatient antibiotic consumption is monitored using data from the network of acute care hospitals and private clinics participating voluntarily in the ANRESIS surveillance system.

  • Collected Data: Either the volume of antibiotic packages dispatched to wards, or patient-level administration data. Covers entire hospital sites and adult ICUs.
  • Network Scope: Around 75 sites, covering 55–60% of acute care hospitals and 70–80% of inpatient bed-days in Switzerland.
  • Exclusions:  ambulatory, rehabilitation, and long-term care units are excluded.
  • Denominators: Acute care focus allows bed-days and admissions to be used as denominators.
Additional information
Close
Close