Analysing the trend over time of antibiotic consumption in the community
This tutorial describes and illustrates statistical methods to detect time trends possibly including abrupt changes (referred to as change-points) in the consumption of antibiotics in the community.For the period 1997-2017, data on consumption of antibacterials for systemic use (ATC group J01) in th...
Elmentve itt :
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| Dokumentumtípus: | Cikk |
| Megjelent: |
2021
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| Sorozat: | JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY
76 No. Supplement 2 |
| Tárgyszavak: | |
| doi: | 10.1093/jac/dkab180 |
| mtmt: | 32115642 |
| Online Access: | http://publicatio.bibl.u-szeged.hu/22961 |
| Tartalmi kivonat: | This tutorial describes and illustrates statistical methods to detect time trends possibly including abrupt changes (referred to as change-points) in the consumption of antibiotics in the community.For the period 1997-2017, data on consumption of antibacterials for systemic use (ATC group J01) in the community, aggregated at the level of the active substance, were collected using the WHO ATC/DDD methodology and expressed in DDD (ATC/DDD index 2019) per 1000 inhabitants per day. Trends over time and presence of common change-points were studied through a set of non-linear mixed models.After a thorough description of the set of models used to assess the time trend and presence of common change-points herein, the methodology was applied to the consumption of antibacterials for systemic use (ATC J01) in 25 EU/European Economic Area (EEA) countries. The best fit was obtained for a model including two change-points: one in the first quarter of 2004 and one in the last quarter of 2008.Allowing for the inclusion of common change-points improved model fit. Individual countries investigating changes in their antibiotic consumption pattern can use this tutorial to analyse their country data. |
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| Terjedelem/Fizikai jellemzők: | ii79-ii85 |
| ISSN: | 0305-7453 |