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Enregistrement W2947888954 · doi:10.5210/ojphi.v11i1.9781

A Tool for Promoting Responsible Antibiotic Prescribing across Settings and Sectors

2019· article· en· W2947888954 sur OpenAlexaffabout
Anette Hulth, Sonja Löfmark, Jeff Andre, Rachel Chorney, Emily Cohn, Moriah Ellen, Nadav Davidovitch, Jacob Moran‐Gilad, Amy L. Greer, David A. Fishman, John S. Brownstein, Derek R. MacFadden

Notice bibliographique

RevueOnline Journal of Public Health Informatics · 2019
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiqueAntibiotic Use and Resistance
Établissements canadiensUniversity of TorontoPublic Health OntarioUniversity of Guelph
Organismes subventionnairesVetenskapsrådet
Mots-clésAntimicrobial stewardshipPsychological interventionMedicineStewardship (theology)Antibiotic resistanceAuditAntibiotic StewardshipBest practiceNursingIntensive care medicineBusinessAntibioticsPolitical scienceAccounting

Résumé

récupéré en direct d'OpenAlex

ObjectiveTo develop, evaluate, and implement a universal online platform - termed OPEN Stewardship - to promote responsible antimicrobial prescribing (antimicrobial stewardship).IntroductionAntibiotic resistance is a mounting public health threat calling for action on global, national and local levels. Antibiotic use has been a major driver of increasing rates of antibiotic resistance. This has given rise to the practice of antibiotic stewardship, which seeks to reduce unnecessary antibiotic use across different care settings. Antibiotic stewardship has been increasingly applied in hospital settings, but adoption has been slow in many ambulatory care settings including primary care of humans. Uptake of antibiotic stewardship in veterinary care has been similarly limited. Audit and feedback systems of antibiotic use coupled with patterns of antibiotic use and best practice guidelines have proven useful in outpatient settings, but scale-up is limited by heterogeneous systems of care and limited resources.MethodsA multi-sectoral team with partners from Canada, Israel and Sweden is developing a web-based platform for administering antibiotic stewardship across multiple care settings and sectors, for human and animal prescribers. There are several interventions which support behaviour change and can be applied to antibiotic stewardship programs. Systematic reviews have found beneficial effects of numerous behaviour change interventions for optimizing clinical practice such as computerized reminders [1], opinion leaders as champions for change [2], and audit and feedback [3]. A recent Cochrane review [4] found that interventions to enable correct use of antibiotics improved policy compliance, and that enabling interventions that included feedback were more likely to be effective. We will use antibiotic prescribing benchmarking, focused guidelines, and local patterns of antibiotic resistance as key components that can be deployed as feedback through this antibiotic stewardship platform.The OPEN Stewardship platform will be hosted on an AWS cloud-based server using industry standard encryption. The platform will function with a central administrator who will enroll and deliver feedback to participating prescribers. This platform will be evaluated prospectively in two countries (Canada and Israel) to evaluate user experience of the feedback as well as impact on antimicrobial prescribing. The evaluation will include prescribers from both human and animal health. After the prospective evaluation, the platform will be made available online for broad multi-sectoral use.ResultsWe have designed the interface for a web-based platform for antibiotic stewardship which will be used in a multinational prospective primary care stewardship intervention in 2019 and 2020 and subsequently rolled out for broad public use (www.openasp.org). The platform layout can be seen in Figure 1. Data capture for aggregate prescriber level antibiotic use and local guidelines will be possible through both a manual graphical user interface and a dataset template upload. Antibiotic resistance data will be pulled from a companion database (www.resistanceopen.org). Administrators will be able to generate unique feedback forms containing visualizations and snapshots from antibiotic use, guidelines, and antibiotic resistance data (Figure 2). These can then be delivered by email on an individual or scheduled basis for one or multiple prescribers simultaneously. Participating prescribers will also have the option to login to view their own profile and browse antibiotic use, resistance and guidelines.ConclusionsAntibiotic stewardship needs to be adopted in a fashion that is country and context specific and not administered from the top down. With our approach we seek to empower groups from any country or care setting to provide regional and tailored stewardship feedback through an open interface. We have here demonstrated the design of an web-based antibiotic stewardship platform which will be evaluated prospectively and subsequently made available for open and broad multi-sectoral use - in keeping with a One Health approach.References1. Shojania KG, Jennings A, Mayhew A, Ramsay CR, Eccles MP, Grimshaw J. The effects of on-screen, point of care computer reminders on processes and outcomes of care. Cochrane Database Syst Rev. 2009 Jul 8;(3):CD001096.2. Flodgren G, Eccles MP, Shepperd S, Scott A, Parmelli E, Beyer FR. An overview of reviews evaluating the effectiveness of financial incentives in changing healthcare professional behaviours and patient outcomes. Cochrane Database Syst Rev. 2011 Jul 6;(7):CD009255.3. Ivers N, Jamtvedt G, Flottorp S, Young JM, Odgaard-Jensen J, French SD, et al. Audit and feedback: effects on professional practice and healthcare outcomes. Cochrane Database Syst Rev. 2012 Jun 13;(6):CD000259.4. Davey P, Brown E, Charani E, Fenelon L, Gould IM, Holmes A, et al. Interventions to improve antibiotic prescribing practices for hospital inpatients. Cochrane Database Syst Rev. 2013 Apr 30;(4):CD003543.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,050
score de la tête « metaresearch » (Gemma)0,112
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Méthodes · Signal consensuel: Méthodes
Score de désaccord entre enseignants0,050
Score d'incertitude au seuil0,263

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0500,112
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0070,003
Études des sciences et des technologies0,0020,001
Communication savante0,0050,009
Science ouverte0,0030,010
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0160,005

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 Opus0,030
Tête enseignante GPT0,315
Écart entre enseignants0,286 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

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

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

En bref

Citations4
Publié2019
Routes d'admission2
Résumé présentoui

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