Perspectives of clinical microbiologists on antimicrobial stewardship programmes within NHS trusts in England
Notice bibliographique
Résumé
BACKGROUND: The Antimicrobial Self-Assessment Toolkit for NHS Trusts (ASAT) was developed in England by a National Pharmacist Reference Group of an Advisory Non-Departmental Public Body on Antimicrobial Resistance and Healthcare Associated Infections (ARHAI), in conjunction with the Department of Health. It is intended to identify and evaluate interventions for the promotion and implementation hospital-based antimicrobial stewardship programmes (ASPs). ASAT v16 was produced by iterative validity testing with end-users utilising a sequential exploratory strategy. It was highlighted that there was a need for the inclusion of the domain which targeted the role of clinical microbiologists due to their substantial roles in hospital-based ASP development and implementation. METHODS: This study aimed to investigate the content validity of ASAT v16 and a proposed draft domain for clinical microbiologists and hence produce ASAT v17. From June to September 2011, semi-structured interviews were conducted with ten consultant clinical microbiologists from secondary and tertiary care National Health Service (NHS) Trusts within England. Interviews were conducted until no novel themes were identified i.e., data saturation was achieved. Each interview was digitally recorded and transcribed verbatim and then analysed using a thematic framework that facilitated the identification of emergent themes and sub-themes. RESULTS: Nine emergent themes were identified which included common enablers and challenges associated with the implementation of effective and sustainable hospital-based ASPs. Key themes included formal governmental mandates, IT infrastructure and also prescribers' knowledge base of antimicrobial chemotherapy and infectious diseases. Most respondents agreed with the content of ASATv16 and the proposed draft section however they suggested that minor modifications were required to improve question sensitivity and hence reduce measurement error. CONCLUSIONS: Although, the ASAT been through multiple iterations and content validity testing, further modifications were required to produce the next iteration, ASAT v17. Question merging and other minor modifications were conducted as indicated by study findings. This study reinforces the need for stakeholder engagement during the development and implementation of tools that evaluate hospital-based implementation strategies.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».