Identifying and Prioritising Behaviours to Slow Antimicrobial Resistance
As a nation with relatively low levels of AMR, due to both community and agricultural stewardship, as well as geographical isolation, Australia is somewhat unique. As this advantage is being eroded, this project aimed to investigate the spectrum of human behaviours that could be modified in order to...
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Format: | Article |
Language: | English |
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MDPI AG
2023-05-01
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Series: | Antibiotics |
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Online Access: | https://www.mdpi.com/2079-6382/12/6/949 |
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author | Fraser Tull Rebecca S. Bamert Liam Smith Denise Goodwin Karen Lambert |
author_facet | Fraser Tull Rebecca S. Bamert Liam Smith Denise Goodwin Karen Lambert |
author_sort | Fraser Tull |
collection | DOAJ |
description | As a nation with relatively low levels of AMR, due to both community and agricultural stewardship, as well as geographical isolation, Australia is somewhat unique. As this advantage is being eroded, this project aimed to investigate the spectrum of human behaviours that could be modified in order to slow the spread of AMR, building upon the argument that doable actions are the best-targeted and least complex to change. We conducted a workshop with a panel of diverse interdisciplinary AMR experts (from sociology, microbiology, agriculture, veterinary medicine, health and government) and identified twelve behaviours that, if undertaken by the public, would slow the spread of AMR. These were then assessed by a representative sample of the public (285 Australians) for current participation, likelihood of future participation (likelihood) and perceived benefits that could occur if undertaken (perceived impact). An impact-likelihood matrix was used to identify four priority behaviours: do not pressure your doctor for antibiotics; contact council to find out where you can safely dispose of cleaning products with antimicrobial marketing; lobby supermarkets to only sell antibiotic free meat products; and return unused antibiotics to a pharmacy. Among a multitude of behavioural options, this study also highlights the importance of tailoring doable actions to local conditions, increasing community education, and emphasizing the lack of a one-size fits all approach to tackling this global threat. |
first_indexed | 2024-03-11T02:50:32Z |
format | Article |
id | doaj.art-43efeb9bb5f340eb8636a77730133e92 |
institution | Directory Open Access Journal |
issn | 2079-6382 |
language | English |
last_indexed | 2024-03-11T02:50:32Z |
publishDate | 2023-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Antibiotics |
spelling | doaj.art-43efeb9bb5f340eb8636a77730133e922023-11-18T08:59:54ZengMDPI AGAntibiotics2079-63822023-05-0112694910.3390/antibiotics12060949Identifying and Prioritising Behaviours to Slow Antimicrobial ResistanceFraser Tull0Rebecca S. Bamert1Liam Smith2Denise Goodwin3Karen Lambert4BehaviourWorks Australia, Monash Sustainable Development Institute, Monash University, Melbourne 3170, AustraliaCentre to Impact AMR, Monash University, Melbourne 3170, AustraliaBehaviourWorks Australia, Monash Sustainable Development Institute, Monash University, Melbourne 3170, AustraliaBehaviourWorks Australia, Monash Sustainable Development Institute, Monash University, Melbourne 3170, AustraliaFaculty of Education, Monash University, Melbourne 3170, AustraliaAs a nation with relatively low levels of AMR, due to both community and agricultural stewardship, as well as geographical isolation, Australia is somewhat unique. As this advantage is being eroded, this project aimed to investigate the spectrum of human behaviours that could be modified in order to slow the spread of AMR, building upon the argument that doable actions are the best-targeted and least complex to change. We conducted a workshop with a panel of diverse interdisciplinary AMR experts (from sociology, microbiology, agriculture, veterinary medicine, health and government) and identified twelve behaviours that, if undertaken by the public, would slow the spread of AMR. These were then assessed by a representative sample of the public (285 Australians) for current participation, likelihood of future participation (likelihood) and perceived benefits that could occur if undertaken (perceived impact). An impact-likelihood matrix was used to identify four priority behaviours: do not pressure your doctor for antibiotics; contact council to find out where you can safely dispose of cleaning products with antimicrobial marketing; lobby supermarkets to only sell antibiotic free meat products; and return unused antibiotics to a pharmacy. Among a multitude of behavioural options, this study also highlights the importance of tailoring doable actions to local conditions, increasing community education, and emphasizing the lack of a one-size fits all approach to tackling this global threat.https://www.mdpi.com/2079-6382/12/6/949antimicrobial resistanceAMRbehaviour changeimpact-likelihood |
spellingShingle | Fraser Tull Rebecca S. Bamert Liam Smith Denise Goodwin Karen Lambert Identifying and Prioritising Behaviours to Slow Antimicrobial Resistance Antibiotics antimicrobial resistance AMR behaviour change impact-likelihood |
title | Identifying and Prioritising Behaviours to Slow Antimicrobial Resistance |
title_full | Identifying and Prioritising Behaviours to Slow Antimicrobial Resistance |
title_fullStr | Identifying and Prioritising Behaviours to Slow Antimicrobial Resistance |
title_full_unstemmed | Identifying and Prioritising Behaviours to Slow Antimicrobial Resistance |
title_short | Identifying and Prioritising Behaviours to Slow Antimicrobial Resistance |
title_sort | identifying and prioritising behaviours to slow antimicrobial resistance |
topic | antimicrobial resistance AMR behaviour change impact-likelihood |
url | https://www.mdpi.com/2079-6382/12/6/949 |
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