Evidence map›Paper›PMID 41107727›Full record

ArticleBMC primary care2025

Routine data registries as a basis to analyse and improve the quality of antimicrobial prescription in primary care.

Martijn Sijbom, Mirte Boelens, Mark G J de Boer, Mattijs E Numans

Abstract read
In one paragraph

Article in BMC primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Martijn SijbomDepartment of Public Health and Primary Care / Health Campus The Hague, Leiden University Medical Centre, Turfmarkt 99, The Hague, Leiden, DP, 2511, The Netherlands. m.sijbom@lumc.nl.
Mirte BoelensDepartment of Public Health and Primary Care / Health Campus The Hague, Leiden University Medical Centre, Turfmarkt 99, The Hague, Leiden, DP, 2511, The Netherlands.
Mark G J de Boer *Department of Infectious Diseases, Leiden University Medical Centre, Leiden, The Netherlands.
Mattijs E Numans *Department of Public Health and Primary Care / Health Campus The Hague, Leiden University Medical Centre, Turfmarkt 99, The Hague, Leiden, DP, 2511, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe overuse of antimicrobials is the main driver of the increasing antimicrobial resistance (AMR). Between 80 and 90% of antimicrobial prescriptions originate from primary care. The goals were to establish the quality of prescriptions through combining data from a primary healthcare registry and a national socioeconomic database for novel determinants.

methodsPseudonymized routine healthcare data from 269,547 patients (1,150,252 antimicrobial prescriptions) obtained between 2012 and 2020 from primary care practices (n = 101) in the region The Hague - Leiden were used. These data were linked with individual socioeconomic data from the Statistic Netherlands database to identify determinants of inappropriate antimicrobial prescribing. The quality of prescription was analysed using predefined criteria based on primary care guidelines. Multivariable logistic regression analyses were performed to identify associations with appropriateness.

resultsRespiratory tract infections (RTI) were most commonly associated with inappropriate antibiotic prescribing, with 14.5% RTI prescriptions being inappropriate. For macrolide prescriptions, 77.1% did not correspond with 1st and 2nd guideline choices. Patient characteristics (migration backgrounds, female gender, comorbidities and age) and medium and large primary care practice size, a proxy for continuity of care and consultation time per patient, were associated with poorer guideline adherence.

conclusionsCombined analyses of socioeconomic and routinely collected healthcare data does reveal relevant additional information to answer medical questions in a broader context, such as AMR. Most room for improvement was found for RTIs and macrolides, especially in specific risk groups. Assuring continuity of care and/or providing extended consultation time per patient might be essential elements to establish, before disseminating improvement strategies.

Indexed as

Anti-Bacterial AgentsDrug PrescriptionsInappropriate PrescribingPractice Patterns, Physicians'Primary Health CareRegistriesAdolescentAdultAgedChild, PreschoolFemaleGuideline AdherenceHumansInfantMaleMiddle AgedAnti-Bacterial AgentsAntimicrobial prescriptionAntimicrobial resistanceAntimicrobial stewardshipData driven healthcareDeterminantsHealthcare registriesPrimary care

Identifiers

PMID41107727
PMCPMC12532453

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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.