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Enregistrement W4383980225 · doi:10.1093/jacamr/dlad082

Gaps and barriers in the implementation and functioning of antimicrobial stewardship programmes: results from an educational and behavioural mixed-methods needs assessment in France, the United States, Mexico and India—authors’ response

2023· article· en· W4383980225 sur OpenAlexaff
Patrice Lazure, Monica Augustyniak, Debra A. Goff, María Virginia Villegas, Anucha Apisarnthanarak, Sophie Péloquin

Notice bibliographique

RevueJAC-Antimicrobial Resistance · 2023
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiqueAntibiotic Use and Resistance
Établissements canadiensAxdev Group (Canada)
Organismes subventionnairesbioMérieux
Mots-clésStewardship (theology)Antimicrobial stewardshipEconomic growthPolitical sciencePsychologyBiologyEconomics

Résumé

récupéré en direct d'OpenAlex

Dear Editor, We thank you for the opportunity to respond to the commentary made by Martha Carolina Valderrama-Rios, Laura Cristina Nocua-Báez, Carlos Arturo Álvarez-Moreno and Jorge Alberto Cortes from the Universitario Nacional, Bogotá, Colombia. We appreciate their contributions to this field, in the hopes of better understanding the factors that influence antibiotic prescription among healthcare professionals. Valderrrama-Rios and colleagues highlighted that the ‘fear of patient deterioration and complications’ was the most common reason for antibiotic prescription. We would encourage the authors to publish their full methods and results to better understand the context of their study. For instance, how were the questions designed, and how was the analysis conducted to determine that the ‘fear of patient deterioration or complications’ was the most common reason for antibiotic prescription that is not concordant with guideline recommendations? What other factors were provided as options for the survey respondents? Have the authors investigated as part of their surveys why fear was the most common reason, and what the root causes of this fear are? In the exploratory phase of this study, the concept of ‘fear’ potentially driving antimicrobial prescription was brought forward by only one participant during interviews in the context of the COVID-19 pandemic, especially the first wave: A clinical pharmacist mentioned, ‘we may have changed our first-line strategy for some infections, in that we had to give a lot of macrolides in the beginning to comply with the guidelines […] we prescribed a bit more macrolides, because we feared… But then, not at all during the second wave’. The nature and cause of the fear is unclear in this one interview. As ‘fear’ was not a main theme derived from our interviews, we did not investigate it further in the survey. Following our publication, other studies have reported both fear and deficit in knowledge as factors associated with the unwarranted use of antibiotics, especially azithromycin, during the early stages of the COVID-19 pandemic.1 From a psychological perspective, fear and knowledge (among other factors) can form a complex relationship in mediating human behaviour.2 In the context of healthcare professionals’ use of antimicrobial agents, fear could be a by-product of underlying beliefs worth further investigation (e.g. perceived consequences of using broad versus narrow spectrum antibiotics for a patient affected by a bacteria susceptible to drug resistance, or of delaying prescription to perform appropriate testing). Our study was designed to focus on the implementation of antimicrobial stewardship (AMS) programmes and principles in practice. For example, our survey investigated approaches to ensuring AMS principles were adhered to by practising professionals, and it was found that 90% of surveyed participants selected ‘Gain insight into inappropriate behaviour (i.e. understand rationale for behaviour)’ as an important step in addressing prescribers’ non-compliance to AMS principles. Hence, whichever the driver to non-compliance, this approach can be a first step to identifying a suitable intervention aimed at enhancing adherence to AMS principles and relevant guidelines. We acknowledge the importance for other studies to investigate in depth the drivers to non-compliance to further inform this recommended approach. In conclusion, we would like to thank the authors and editor for the opportunity to elaborate further on this topic. We believe that both initiatives are important to inform future studies, in addition to the design of effective interventions aimed at optimizing prescription of antimicrobial agents individually and as a collective. This correspondence refers to a research study that was supported with education research funds from bioMérieux SA to AXDEV Group Inc. The correspondence was written independently from bioMérieux SA. Co-authors P.L., M.A. and S.P. are employees of AXDEV Group Inc. D.A.G. has received grant support from Merck Sharp & Dohme (MSD) and was a consultant over 2 years ago to MeMEd, as well as an adviser for Becton, Dickinson and Company and Spero Therapeutics. M.V.V. has received educational grants and consultant fees from MSD, Pfizer, WEST and bioMérieux. A.A. received consultant fees from Abbott and bioMérieux.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,294
Score d'incertitude au seuil0,768

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,015
Tête enseignante GPT0,331
Écart entre enseignants0,315 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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