Co-development of a community pharmacy training regarding fentanyl and xylazine test strips
Notice bibliographique
Résumé
Introduction: Fentanyl and xylazine test strips (FTS, XTS) are simple point-of-care tests that determine the presence of fentanyl or xylazine in a substance before use. Access to FTS and XTS is limited. For pharmacists who are willing to sell an FTS, there is little guidance about how to implement FTS sales and counseling as no training for community pharmacists regarding FTS and XTS exists. This article describes how a FTS and XTS training for community pharmacists was co-designed. Methods: A co-design strategy was utilized that involved an advisory panel of eight members: three practicing community pharmacists, two harm reduction experts, a website developer, the director of practice advancement for the state pharmacy association, and a patient-provider communication expert. A total of six meetings occurred to develop the training over seven months from July 2023 to February 2024. The advisory panel met once a month to discuss training goals, develop training information, and revise and structure the training to ensure the acceptability and appropriateness of the training for North Carolina community pharmacists. Results: The co-design strategy led to the development of a 6-module 30-min training. Module topics included information that stakeholders felt was most important to include: (1): What and Why of Test Strips, (2) Why pharmacies? (3) How to use/ "Best practices of testing" (4) Logistics (5) FAQs and (6) Resources. Panelists determined an online self-paced webinar would be most useful for pharmacists to reference when needed. Conclusion: The inclusion of stakeholders, including product end-users, leads to the creation of content that is salient and feasible for pharmacists to implement, which may increase their ability to integrate a new pharmacy service (FTS and XTS sales and counseling) into their pharmacy workflow. Patient or public contribution: This training was developed through a co-design strategy for community pharmacists with community pharmacist input. This training also utilized feedback from harm reduction experts who have trained people who use drugs on the best practices of testing their substances with FTS and XTS. The incorporation of their feedback was integral to the development of this training and will ensure that the training is feasible for the pharmacist to integrate into their workflow.
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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 | 0,021 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,003 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,006 |
| 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».