| Literature DB >> 34354310 |
Bryony Simmons1, Koya Ariyoshi2, Norio Ohmagari3, Celine Pulcini4, Benedikt Huttner5, Sumanth Gandra6, Giovanni Satta1, Lorenzo Moja5, Michael Sharland7, Nicola Magrini5, Marisa Miraldo8, Graham Cooke1.
Abstract
OBJECTIVE: To compare antibiotic sales in eight high-income countries using the 2019 World Health Organization (WHO) Access, Watch and Reserve (AWaRe) classification and the target of 60% consumption of Access category antibiotics.Entities:
Mesh:
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Year: 2021 PMID: 34354310 PMCID: PMC8319863 DOI: 10.2471/BLT.20.270934
Source DB: PubMed Journal: Bull World Health Organ ISSN: 0042-9686 Impact factor: 9.408
National data sources and coverage of pharmaceutical sales in the IQVIA multinational integrated data analysis system database
| Country and audit type | Data source | Market coverage |
|---|---|---|
| Retail, sell-out | Pharmacies with computerized systems | 100% |
| Hospital, consumption | Hospital trusts | |
| Retail, sell-in | Pharmacies and wholesalers | 100% |
| Hospital, consumption | Hospitals | |
| Retail, sell-in | Pharmacies and wholesalers | 99% |
| Hospital, consumption | Hospitals and local health authorities | |
| Direct to patient, consumption | Local health authorities | |
| Retail, sell-in | Wholesalers | 100% |
| Hospital, sell-in | Wholesalers | |
| Retail, sell-in | Pharmacies and wholesalers | 99% |
| Retail, sell-out | Pharmacies | |
| Hospital, consumption | Hospitals | |
| Retail, sell-in | Deliveries of manufacturers, importers, and wholesalers | 100% |
| Hospital, sell-in | Deliveries of manufacturers, importers, and wholesalers | |
| Retail, sell-out | Prescription data from pharmacies and direct sales panel | 89% |
| Hospital, consumption | National Health Service beds | |
| Combined retail and hospital, sell-in | Wholesalers, mail service pharmacies, manufacturers, hospitals | 100% |
Notes: IQVIA use a combination of local audits at different points of the distribution chain to collect data on pharmaceutical volumes; collection methods vary by country subject to local conditions and data availability. Audit type shows the data collection methods for each country (that is, retail or hospital sector and the specific sales channel). Sell-in refers to the indirect sales from manufacturers or wholesalers to either retail pharmacies (retail, sell-in) or hospital pharmacies (hospital, sell-in). Sales or consumption to the consumer are measured as sales from retail pharmacies to the patient (retail, sell-out) or distribution from hospital pharmacies to the patient (hospital, consumption). Through the IQVIA multinational integrated data analysis system local audits are standardized to allow cross-country comparability and analysis. Market coverage gives the percentage of the total national pharmaceutical market which the combined audits represent. For countries with < 100% coverage, IQVIA adjust according to a proprietary algorithm to estimate the probable total sales value based on the market share of the participating sources, such that the extract estimates 100% of consumption.
Sources: IQVIA multinational integrated data analysis system (IQVIA Inc., Durham, USA) and national audit data sources.
Outcome definitions used in the study of antibiotic sales in eight high-income countries
| Outcome | Level of analysis | Definition |
|---|---|---|
| Total annual sales, SU | Overall | Total sales of systemic antibiotics per year in SU |
| Annual sales per capita, SU per capita | Overall, by AWaRe category and by pharmacological class | No. of SU sold per year divided by the country–year population estimate derived from the World Bank |
| Relative sales, % of total sales | By AWaRe category and by pharmacological class | No. of SU sold in each group divided by the total no. of antibiotic SU sold in the given year (multiplied by 100) |
| Relative sales, % of AWaRe category sales | By pharmacological class | No. of SU sold of the specific antibiotic class and AWaRe category divided by the no. of AWaRe category SU sold in the given year (multiplied by 100) |
| ≥ 3% sales indicator | By individual antibiotic | Products accounting for ≥ 3% of country-specific consumption in 2018. Calculated as the no. of SU sold of each antibiotic divided by the total no. of SU by country in 2018 |
| Single country indicator, ≥ 60% of total sales | By individual antibiotic | Products accounting for ≥ 60% of per capita consumption. Calculated as the no. of per capita SU sold for a particular antibiotic in each country divided by the total per capita SU over all countries in 2018. Calculated for all products identified in the ≥ 3% consumption list |
AWaRe: Access, Watch and Reserve classification; SU: standard units.
Note: The unit for all analyses was at the country–year level. We identified AWaRe antibiotic categories according to the World Health Organization 2019 classification. We categorized pharmacological class according to the WHO anatomical therapeutic chemical third and fourth levels (see the data repository for classifications).
Country characteristics and antibiotic policies
| Variable | France | Germany | Italy | Japan | Spain | Switzerland | United Kingdom | United States |
|---|---|---|---|---|---|---|---|---|
| WHO Region | Europe | Europe | Europe | Western Pacific | Europe | Europe | Europe | Americas |
| Population, total in millions | 67.0 | 82.9 | 60.4 | 126.5 | 46.7 | 8.5 | 66.5 | 327.2 |
| GDP per capita, PPP current thousands of international dollars | 45.9 | 54.3 | 42.1 | 43.3 | 40.9 | 68.9 | 46.2 | 62.6 |
| Health expenditure per capita, PPP current thousands of international dollars | 5.3 | 6.1 | 3.6 | 4.5 | 3.6 | 8.1 | 4.6 | 10.6 |
| Health expenditure, % of GDP | 11.2 | 11.2 | 8.8 | 10.9 | 8.9 | 12.2 | 9.8 | 16.9 |
| National action plan on antibiotic use | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Adopted AWaRe categorization in national policy | No, use similar categorization | Yes | No | No | No | Yes | Yes, adapted | No |
AWaRe: Access, Watch and Reserve classification; GDP: gross domestic product; PPP: purchasing power parity; WHO: World Health Organization.
Note: Data shown are from the most recent year available between 2013 and 2018.
Fig. 1Proportion of total antibiotic sales in eight high-income countries by AWaRe category, 2013–2018
Fig. 2Per capita antibiotic sales in eight high-income countries by AWaRe category, 2013–2018
Fig. 3Trend in total annual antibiotic sales per capita in eight high-income countries, 2013–2018
Fig. 4Trend in annual per capita antibiotic sales in eight high-income countries, 2013–2018
Trends in consumption of Access group antibiotics in eight high-income countries, 2013–2018
| Variable | No. of Access group antibiotics/total no. of antibiotics sold (%), million SU | Population-weighted mean %a | |||||||
|---|---|---|---|---|---|---|---|---|---|
| France | Germany | Italy | Japan | Spain | Switzerland | United Kingdom | United States | ||
| 2013 | 912/1532 (59.5) | 474/885 (53.5) | 532/976 (54.5) | 360/2286 (15.7) | 665/897 (74.1) | 41/67 (62.1) | 1117/1517 (73.6) | 4700/6418 (73.2) | 59.0 |
| 2014 | 886/1466 (60.4) | 455/828 (55.0) | 518/948 (54.7) | 369/2220 (16.6) | 692/915 (75.6) | 41/64 (63.2) | 1150/1551 (74.2) | 4575/6225 (73.5) | 59.7 |
| 2015 | 905/1472 (61.5) | 441/821 (53.7) | 512/933 (54.9) | 397/2261 (17.6) | 718/944 (76.0) | 42/65 (64.3) | 1114/1492 (74.7) | 4676/6274 (74.5) | 60.4 |
| 2016 | 948/1482 (64.0) | 450/831 (54.1) | 513/915 (56.0) | 405/2228 (18.2) | 688/912 (75.5) | 43/65 (66.3) | 1098/1458 (75.3) | 4724/6256 (75.5) | 61.3 |
| 2017 | 900/1380 (65.3) | 442/802 (55.1) | 505/897 (56.3) | 411/2099 (19.6) | 658/877 (75.0) | 42/62 (67.6) | 1044/1376 (75.9) | 4876/6307 (77.3) | 62.6 |
| 2018 | 898/1343 (66.9) | 445/774 (57.5) | 504/892 (56.5) | 439/2030 (21.6) | 640/852 (75.1) | 44/63 (69.7) | 1000/1302 (76.8) | 4649/6020 (77.2) | 63.5 |
| Annual trendb | 1.54 | 0.59 | 0.45 | 1.11 | 0.07 | 1.53 | 0.61 | 0.93 | 0.92 |
| < 0.001 | NS | < 0.01 | < 0.001 | NS | < 0.001 | < 0.001 | < 0.01 | < 0.001 | |
NS: not significant; SU: standard units.
a The population-weighted mean is based on the sales data for all eight countries.
b The average annual trend shows the country-specific annual change between 2013 and 2018, derived from linear regression (separate models by country) and can be interpreted as the estimated average annual change in the outcome for each country and for the weighted-aggregate.
Fig. 5Trend in percentage of Access group antibiotics sold in eight high-income countries, 2013–2018