Identifying General Practitioners' Antibiotic Prescribing Profiles Based on National Health Reimbursement Data.

antibiotic consumption antibiotic stewardship general practitioners primary healthcare quality indicators

Journal

Open forum infectious diseases
ISSN: 2328-8957
Titre abrégé: Open Forum Infect Dis
Pays: United States
ID NLM: 101637045

Informations de publication

Date de publication:
Apr 2024
Historique:
received: 06 10 2023
accepted: 20 03 2024
medline: 10 4 2024
pubmed: 10 4 2024
entrez: 10 4 2024
Statut: epublish

Résumé

Antibiotic selection pressure in human medicine is a significant driver of antibiotic resistance in humans. The primary aspect of antibiotic consumption is associated with general practitioner (GP) prescriptions. We aimed to identify prescriber profiles for targeted antimicrobial stewardship programs using novel indicators. A cross-sectional study was conducted in 2018 investigating GPs' antibiotic prescriptions in a French department, utilizing the reimbursement database of the national health service. Three antibiotic prescribing indicators were used. Specific targets were established for each indicator to identify the antibiotic prescribers most likely contributing to the emergence of resistance. Over 2018, we had 2,908,977 visits to 784 GPs, leading to 431,549 antibiotic prescriptions. Variations between GPs were shown by the 3 indicators. The median antibiotic prescription rate per visit was 13.6% (interquartile range [IQR], 9.8%-17.7%). Median ratios of the prescriptions of low-impact antibiotics to the prescriptions of high-impact antibiotics and of amoxicillin prescriptions to amoxicillin-clavulanic acid prescriptions were 2.5 (IQR, 1.7-3.7) and 2.94 (IQR, 1.7-5), respectively. We found 163 (21%) high prescribers of antibiotics with 3 distinct patterns: The first group overuses broad-spectrum antibiotics but without an overprescription rate per visit, the second group displays an overprescription rate but no excessive use of broad-spectrum antibiotics, and the third group shows both an overprescription rate and excessive use of broad-spectrum antibiotics. Prescription-based indicators enable the identification of distinct profiles of antibiotic prescribers. This identification may allow for targeted implementation of stewardship programs focused on the specific prescribing patterns of each profile.

Sections du résumé

Background UNASSIGNED
Antibiotic selection pressure in human medicine is a significant driver of antibiotic resistance in humans. The primary aspect of antibiotic consumption is associated with general practitioner (GP) prescriptions. We aimed to identify prescriber profiles for targeted antimicrobial stewardship programs using novel indicators.
Methods UNASSIGNED
A cross-sectional study was conducted in 2018 investigating GPs' antibiotic prescriptions in a French department, utilizing the reimbursement database of the national health service. Three antibiotic prescribing indicators were used. Specific targets were established for each indicator to identify the antibiotic prescribers most likely contributing to the emergence of resistance.
Results UNASSIGNED
Over 2018, we had 2,908,977 visits to 784 GPs, leading to 431,549 antibiotic prescriptions. Variations between GPs were shown by the 3 indicators. The median antibiotic prescription rate per visit was 13.6% (interquartile range [IQR], 9.8%-17.7%). Median ratios of the prescriptions of low-impact antibiotics to the prescriptions of high-impact antibiotics and of amoxicillin prescriptions to amoxicillin-clavulanic acid prescriptions were 2.5 (IQR, 1.7-3.7) and 2.94 (IQR, 1.7-5), respectively. We found 163 (21%) high prescribers of antibiotics with 3 distinct patterns: The first group overuses broad-spectrum antibiotics but without an overprescription rate per visit, the second group displays an overprescription rate but no excessive use of broad-spectrum antibiotics, and the third group shows both an overprescription rate and excessive use of broad-spectrum antibiotics.
Conclusions UNASSIGNED
Prescription-based indicators enable the identification of distinct profiles of antibiotic prescribers. This identification may allow for targeted implementation of stewardship programs focused on the specific prescribing patterns of each profile.

Identifiants

pubmed: 38595959
doi: 10.1093/ofid/ofae172
pii: ofae172
pmc: PMC11002951
doi:

Types de publication

Journal Article

Langues

eng

Pagination

ofae172

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

Déclaration de conflit d'intérêts

Potential conflicts of interest. All authors: No reported conflicts of interest.

Auteurs

Pauline Arias (P)

Infectious Diseases Department, Groupe Hospitalier Sud Ile-de-France, Melun, France.
Infectious Diseases Department, Centre hospitalier intercommunal de Villeneuve Saint Georges, Villeneuve Saint Georges, France.

Matta Matta (M)

Infectious Diseases Department, Groupe Hospitalier Sud Ile-de-France, Melun, France.

Alessio Strazzulla (A)

Infectious Diseases Department, Groupe Hospitalier Sud Ile-de-France, Melun, France.

Christine Le Mener (C)

Caisse primaire d'assurance maladie Seine-et-Marne, Ile-de-France, Melun, France.

Sébastien Gallien (S)

Infectious Diseases Department, Assistance Publique-Hôpitaux de Paris, Hôpital Henri Mondor, Université Paris Est Créteil, Créteil, France.
EA 7380 Dynamic, Université Paris Est Créteil, Créteil, France.

Sylvain Diamantis (S)

Infectious Diseases Department, Groupe Hospitalier Sud Ile-de-France, Melun, France.
EA 7380 Dynamic, Université Paris Est Créteil, Créteil, France.

Classifications MeSH