Current knowledge and attitudes toward antibiotic use among community pharmacy personnel in a rural province in South Africa and the implications
Notice bibliographique
Résumé
Background Antimicrobial resistance (AMR) is an appreciable threat to public health, especially among low- and middle-income countries (LMICs), exacerbated by high levels of inappropriate prescribing and dispensing of antibiotics in these countries. There have been variable levels of dispensing of antibiotics without a prescription among community pharmacies in South Africa. Given the importance of community pharmacies, especially in rural South Africa, there is a need to assess their knowledge and attitudes towards antibiotics, AMR, and antibiotic stewardship. This was the aim of this study. Methods A previously piloted questionnaire was administered to pharmacy personnel currently operating community pharmacies in a rural province in South Africa, where dispensing of antibiotics without a prescription is likely to be greatest. The questionnaire included key knowledge questions regarding antibiotics and AMR, as well as ways to reduce AMR. Community pharmacies were divided into three categories: Independent, chain, and franchise pharmacies. Results A total of 128 pharmacies participated (75.7%), with independent pharmacies representing the majority (60.9%). A total of 313 completed questionnaires were returned (78.3% response rate), including responses from 106 pharmacists (33.9%) and 207 pharmacist assistants (66.1%). Overall, there was very good knowledge among both community pharmacists and pharmacist assistants concerning antibiotics and AMR. However, there was a significant misconception regarding the potential role of antibiotics in relieving pain. Encouragingly, attitudes regarding the risks associated with obtaining antibiotics without a prescription among both community pharmacists and pharmacist assistants were high. There was also strong agreement among both community pharmacists and pharmacist assistants for potential solutions to AMR. Conclusion Overall, the findings showed that most pharmacists and pharmacist assistants in this rural province demonstrated a strong understanding of the effectiveness of antibiotics in bacterial infections and their lack of effectiveness to treat viral infections. They also demonstrated considerable knowledge regarding the risks associated with the inappropriate dispensing of antibiotics without a prescription, as well as ways to address rising AMR rates.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 | 0,000 | 0,000 |
| 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 ».