Cost-effectiveness and budget impact of the management of uncomplicated urinary tract infection by community pharmacists
Notice bibliographique
Résumé
BACKGROUND: OUTMAP study demonstrated that management of uncomplicated UTI by community pharmacists resulted in high clinical cure rates similar to those reported in the literature and a high degree of patient satisfaction. The objective of this study was to assess the cost-effectiveness and budget impact of community pharmacist-initiated compared to family or emergency physician-initiated management of uncomplicated UTI. METHODS: A decision analytic model was used to compare costs and outcomes of community pharmacist-initiated management of uncomplicated UTI to family or emergency physician-initiated management. Cure rates and utilities were derived from published studies. Costs of antibiotic treatment and health services use were calculated based on cost data from Canada. We used a probabilistic analysis to evaluate the impact of treatment strategies on costs and quality-adjusted-life-months (QALMs). In addition, a budget impact analysis was conducted to evaluate the financial impact of community pharmacist-initiated uncomplicated UTI management in this target population. This study was conducted from the perspective of the public health care system of Canada. RESULTS: Pharmacist-initiated management was lower cost ($72.47) when compared to family and emergency physician-initiated management, $141.53 and $368.16, respectively. The QALMs gained were comparable across the management strategies. If even only 25% of Canadians with uncomplicated UTI were managed by community pharmacists over the next 5 years, the resulting net total savings was estimated at $51 million. CONCLUSION: From a Canadian public health care system perspective, community pharmacist-initiated management would likely be a cost-effective strategy for uncomplicated UTI. In an era of limited health care resources, expanded roles of community pharmacists or other non-physician community based prescribers are important mechanisms through which accessible, high-quality and cost-effective care may be achieved. Further studies to evaluate other conditions which can be managed in the community and their cost effectiveness are essential.
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 | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 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 ».