Multi-Criteria Decision Analysis for Assessing Social Acceptance of Strategies to Reduce Antimicrobial Use in the French Dairy Industry.
antimicrobial resistance
decision analysis
livestock
public health
Journal
Antibiotics (Basel, Switzerland)
ISSN: 2079-6382
Titre abrégé: Antibiotics (Basel)
Pays: Switzerland
ID NLM: 101637404
Informations de publication
Date de publication:
21 Dec 2022
21 Dec 2022
Historique:
received:
08
12
2022
revised:
16
12
2022
accepted:
18
12
2022
entrez:
21
1
2023
pubmed:
22
1
2023
medline:
22
1
2023
Statut:
epublish
Résumé
To respond to the antimicrobial resistance (AMR) threat, public health entities implement policies aiming to reduce antimicrobial use (AMU) in livestock systems, in which policy success and sustainability might be subject to the social acceptability of the novel regulatory environment. Therefore, consistent methods that gather and synthesize preferences of stakeholder groups are needed during the policy design. The objective of this study was to present a methodology for evaluating the acceptability of potential strategies to reduce AMU using multi-criteria decision analysis (MCDA) using French dairy industry as a model. Preference-ranking organization methods for enrichment evaluations were applied to rank stakeholders' acceptance of four different potential AMU reduction strategies: 1. Baseline AMU regulations in France; 2. Total interdiction of AMU; 3. Interdiction of prophylaxis and metaphylaxis AMU; and 4. Subsidies to reduce AMU by 25%. A total of 15 stakeholders (consumers,
Identifiants
pubmed: 36671209
pii: antibiotics12010008
doi: 10.3390/antibiotics12010008
pmc: PMC9854798
pii:
doi:
Types de publication
Journal Article
Langues
eng
Références
Med Clin North Am. 2018 Sep;102(5):819-829
pubmed: 30126573
Molecules. 2018 Mar 30;23(4):
pubmed: 29601469
Front Vet Sci. 2021 Feb 02;7:547975
pubmed: 33604361
Appetite. 2022 Apr 1;171:105900
pubmed: 34968563
J Microbiol Biotechnol. 2019 Nov 28;29(11):1683-1692
pubmed: 31693837
BMC Public Health. 2013 Sep 30;13:897
pubmed: 24079303
Vet Microbiol. 2014 Jul 16;171(3-4):273-8
pubmed: 24646601
J Dairy Sci. 2004 Jan;87(1):191-201
pubmed: 14765827
Front Vet Sci. 2020 Mar 18;7:149
pubmed: 32258070
Front Microbiol. 2017 Nov 02;8:2124
pubmed: 29163414
Microbiol Spectr. 2018 Mar;6(2):
pubmed: 29600770
Front Microbiol. 2014 Jun 12;5:288
pubmed: 24971079
J Antimicrob Chemother. 2003 Aug;52(2):159-61
pubmed: 12837737
J Dairy Sci. 2018 Oct;101(10):9451-9462
pubmed: 30100506
PLoS Med. 2016 Nov 29;13(11):e1002184
pubmed: 27898664
J Dairy Sci. 2021 Apr;104(4):4584-4603
pubmed: 33612225
Front Microbiol. 2017 Jan 06;7:2114
pubmed: 28111568
Eur J Pharm Sci. 2022 Mar 1;170:106103
pubmed: 34936936
J Antimicrob Chemother. 2000 Oct;46(4):643-5
pubmed: 11020270
J Dairy Sci. 2017 May;100(5):3783-3795
pubmed: 28365115
Nat Microbiol. 2019 Sep;4(9):1432-1442
pubmed: 31439928
J Dairy Sci. 2011 Apr;94(4):1790-803
pubmed: 21426968
Nat Med. 2004 Dec;10(12 Suppl):S122-9
pubmed: 15577930
Rev Sci Tech. 2001 Dec;20(3):811-27
pubmed: 11732424
PLoS One. 2018 Mar 22;13(3):e0194832
pubmed: 29566103
Prev Vet Med. 2017 Oct 1;146:61-72
pubmed: 28992929
Porcine Health Manag. 2018 Apr 17;4:8
pubmed: 29692925
Front Vet Sci. 2021 Mar 18;8:584593
pubmed: 33816582