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Clin Microbiol Infect ; 30(6): 828.e1-828.e3, 2024 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-38184295

RESUMEN

OBJECTIVES: To analyse the time elapsed between the prescription of antibiotics and their pick-up at the pharmacy and identify their determinants. METHODS: We used the National Health Insurance reimbursement databases on antibiotics delivery in 2021 in La Manche, Western France. Delayed delivery was defined as the time between prescription and antibiotic pick-up of >24 hours. RESULTS: We enrolled 207 250 prescriptions, of whom 18 728 (9.0%) collected their antibiotics at the community pharmacy >24 hours after prescription. Independent factors associated with delayed delivery were age >15 years (15-64 years: OR, 2.08 [1.98-2.19]; p < 0.001 and >65 years OR, 3.27 [3.09-3.46]; p < 0.001), male sex (OR, 00.77 [0.75-0.80]; p < 0.001), low income (OR, 1.08 [1.02-1.15]; p = 0.013), chronic diseases (OR, 1.29 [1.25-1.34]; p < 0.001), prescription during the weekend (OR, 1.49 [1.43-1.56]; p < 0.001), summer season (OR, 1.11 [1.07-1.16]; p < 0.001), lock-down period (OR, 4.15 [3.80-4.53]; p < 0.001), and distance from the patient home to his general practitioner office and the pharmacy >10 km (OR, 1.17 [1.13-1.21]; p < 0.001). DISCUSSION: The delayed delivery of antibiotics after prescription is not uncommon, especially in elderly patients, those with low income or chronic diseases, in case of weekend prescriptions, summer season and when the pharmacy is > 10 km away from the patient's home and his general practitioner office. If confirmed, this potential indicator of unnecessary prescriptions, readily available in some databases, may be used to target antimicrobial stewardship programmes and monitor the effect of interventions.


Asunto(s)
Antibacterianos , Programas de Optimización del Uso de los Antimicrobianos , Humanos , Masculino , Persona de Mediana Edad , Femenino , Adulto , Antibacterianos/administración & dosificación , Antibacterianos/uso terapéutico , Adolescente , Francia , Adulto Joven , Anciano , Factores de Tiempo , Prescripciones de Medicamentos/estadística & datos numéricos
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