Evidence map›Paper›PMID 38633222›Full record

ArticleJAC-antimicrobial resistance2024

Selection of proxy indicators estimating the appropriateness of antibiotic prescriptions in general practice: a national consensus procedure in France.

Maïa Simon, Aurélie Bocquier, Ouarda Pereira, Alexandre Charmillon, Damien Gonthier, Florence Lieutier Colas, Camille Vallance, Adeline Welter, Céline Pulcini, Nathalie Thilly and 1 more

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Maïa SimonUniversité de Lorraine, Inserm, INSPIIRE, F-54000 Nancy, France.
Aurélie BocquierUniversité de Lorraine, Inserm, INSPIIRE, F-54000 Nancy, France.
Ouarda PereiraDirection Régionale du Service Médical (DRSM) Grand Est, F-67000 Strasbourg, France.
Alexandre CharmillonDépartement de Maladies Infectieuses, CHRU-Nancy, F-54000 Nancy, France.
Damien GonthierUniversité de Lorraine, Inserm, INSPIIRE, F-54000 Nancy, France.
Florence Lieutier ColasCHRU-Nancy, Centre Régional en Antibiothérapie de la Région Grand Est AntibioEst, F-54000 Nancy, France.
Camille VallanceCHRU-Nancy, Centre Régional en Antibiothérapie de la Région Grand Est AntibioEst, F-54000 Nancy, France.
Adeline WelterCaisse Primaire d'Assurance Maladie du Bas-Rhin, F-67000 Strasbourg, France.
Céline PulciniUniversité de Lorraine, Inserm, INSPIIRE, F-54000 Nancy, France.
Nathalie ThillyUniversité de Lorraine, Inserm, INSPIIRE, F-54000 Nancy, France.
Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: GPs are responsible for more than 70% of outpatient antibiotic prescriptions in France. Metrics are important antibiotic stewardship tools that can be used to set targets for improvement and to give feedback to professionals and stakeholders. Objectives: The primary objective of the present study was to select a set of proxy indicators (PIs) based on 10 previously developed PIs, to estimate the appropriateness of antibiotic prescriptions by GPs. The secondary objective was to evaluate the clinimetric properties of the selected PIs. Methods: A RAND-modified Delphi consensus procedure was conducted with a multidisciplinary panel of stakeholders. This procedure consisted of two successive online surveys with a consensus meeting in between. Clinimetric properties (measurability, applicability and potential room for improvement) were evaluated for the PIs selected through the consensus procedure, using 2022 Regional Health Insurance data. Results: Seventeen experts participated in the first-round survey and 14 in the second-round. A final set of 12 PIs was selected. Among the 10 initial PIs, 3 were selected without modification and 7 were modified and selected. Moreover, two newly suggested PIs were selected. Ten of the 12 PIs presented good clinimetric properties. Conclusions: The 12 selected PIs cover the main situations responsible for inappropriate and unnecessary use of antibiotics in general practice. These PIs, easily calculable using routinely collected health insurance reimbursement data, might be used to give feedback to prescribers and stakeholders and help improve antibiotic prescriptions in primary care.

Identifiers

PMID38633222
PMCPMC11022070

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.