Proxy indicators to estimate appropriateness of antibiotic prescriptions by general practitioners: a proof-of-concept cross-sectional study based on reimbursement data, north-eastern France 2017

Author:

Thilly Nathalie12,Pereira Ouarda3,Schouten Jeroen4,Hulscher Marlies EJL4,Pulcini Céline52

Affiliation:

1. Université de Lorraine, Centre Hospitalier Régional Universitaire de Nancy (CHRU-Nancy), Département Méthodologie, Promotion, Investigation, Nancy, France

2. Université de Lorraine, Adaptation, mesure et évaluation en santé. Approches interdisciplinaires (APEMAC), Nancy, France

3. Direction Régionale du Service Médical du Nord-Est, Nancy, France

4. Radboud University Medical Center, Radboud Institute for Health Sciences, Scientific Center for Quality of Healthcare (IQ healthcare), Nijmegen, the Netherlands

5. Université de Lorraine, Centre Hospitalier Régional Universitaire de Nancy (CHRU-Nancy), Département de maladies infectieuses, Nancy, France

Abstract

Background In most countries, including France, data on clinical indications for outpatient antibiotic prescriptions are not available, making it impossible to assess appropriateness of antibiotic use at prescription level. Aim Our objectives were to: (i) propose proxy indicators (PIs) to estimate appropriateness of antibiotic use at general practitioner (GP) level based on routine reimbursement data; and (ii) assess PIs’ performance scores and their clinimetric properties using a large regional reimbursement database. Methods A recent systematic literature review on quality indicators was the starting point for defining a set of PIs, taking French national guidelines into account. We performed a cross-sectional study analysing National Health Insurance data (available at prescriber and patient levels) on antibiotics prescribed by GPs in 2017 for individuals living in north-eastern France. We measured performance scores of the PIs and their case-mix stability, and tested their measurability, applicability, and room for improvement (clinimetric properties). Results The 3,087 GPs included in this study prescribed a total of 2,077,249 antibiotic treatments. We defined 10 PIs with specific numerators, denominators and targets. Performance was low for almost all indicators ranging from 9% to 75%, with values < 30% for eight of 10 indicators. For all PIs, we found large variation between GPs and patient populations (case-mix stability). Regarding clinimetric properties, all PIs were measurable, applicable, and showed high improvement potential. Conclusions The set of 10 PIs showed satisfactory clinimetric properties and might be used to estimate appropriateness of antibiotic prescribing in primary care, in an automated way within antibiotic stewardship programmes.

Publisher

European Centre for Disease Control and Prevention (ECDC)

Subject

Virology,Public Health, Environmental and Occupational Health,Epidemiology

Reference38 articles.

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