Evidence map›Paper›PMID 13680039›Full record

ArticleEuropean journal of clinical pharmacology2003

Exploring patient- and doctor-related variables associated with antibiotic prescribing for respiratory infections in primary care.

Giampiero Mazzaglia, Achille P Caputi, Alessandro Rossi, Germano Bettoncelli, Giovanni Stefanini, Giuseppe Ventriglia, Roberto Nardi, Ovidio Brignoli, Claudio Cricelli

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Article in European journal of clinical pharmacology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

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20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

20 citing papers in PubMed.

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  3. Observational
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  16. Predictors of inappropriate antibiotic prescribing among primary care physicians.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2007
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Giampiero MazzagliaThe Health Search Database, Largo Cesare Cantù 8, 50143 Florence, Italy. mazzaglia.giampiero@simg.it
Achille P Caputi
Alessandro Rossi
Germano Bettoncelli
Giovanni Stefanini
Giuseppe Ventriglia
Roberto Nardi
Ovidio Brignoli
Claudio Cricelli

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess patient- and doctor-related variables leading physicians to prescribe antibiotics or parenteral antibiotics for acute respiratory infections (ARIs) and to describe the variability as well as the appropriateness of antibiotic use and its predictive factors in general practice.

methodsWe conducted a cross-sectional study among patients aged 15-85 years with a diagnosis of ARIs, using information from 469 GPs from the Health Search Database. Diagnoses were linked with antibiotic prescriptions and other patients and doctor-related variables. Available scientific evidence was used to establish the appropriateness of first-choice antibiotic treatment. Frequency analyses and logistic regressions were used to identify variables associated with antibiotic use and appropriateness.

resultsOn 67,761 cases of ARIs, antibiotics were prescribed in 63.2%, varying from 80.9% for acute bronchitis to 43.9% for croup, influenza and common cold. Significant associations with antibiotic use were found for geographic location and number of patients under care. The use of diagnostic tests significantly lowered the risk. Geographic location and living in an urban area were associated with parenteral antibiotic use. Amoxicillin (16.7%) and amoxicillin-clavulanate (17.9%) were the most common antibiotics prescribed. Appropriateness was reported in 39.0% of cases, with geographic location, physician's gender and diagnostic tests being the factors more predictive of appropriate antibiotic use.

conclusionsThere is still excessive antibiotic use for ARIs. Its overuse is influenced by the physicians' characteristics and by the environment in which they practice, whilst diagnostic tests might reduce inappropriateness. Therefore, effective strategies for changing diagnostic and therapeutic behaviour are needed.

Indexed as

Practice Patterns, Physicians'Acute DiseaseAdolescentAdultAgedAged, 80 and overAnti-Bacterial AgentsClinical CompetenceCross-Sectional StudiesDrug Administration RoutesDrug PrescriptionsDrug UtilizationFemaleHumansMaleMiddle AgedAnti-Bacterial Agents

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Registered trials

None linked

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.