Evidence map›Paper›PMID 30447685›Full record

ArticleBMC family practice2018

The influence of gender concordance between general practitioner and patient on antibiotic prescribing for sore throat symptoms: a retrospective study.

D Eggermont, M A M Smit, G A Kwestroo, R A Verheij, K Hek, A E Kunst

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC family practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 6% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. Review
  7. Article
  8. Article
  9. A mixed-methods needs assessment for an antimicrobial stewardship curriculum in pediatrics.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024
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  13. Prevalence and Antibiotic Resistance Pattern ofAntibiotics (Basel, Switzerland) · 2023
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  20. Urgent-care antibiotic prescribing: An exploratory analysis to evaluate health inequities.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2022
    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

6 authors at 2 institutions in 1 country.

D EggermontDepartment of Public Health, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands. d.eggermont@amc.uva.nl.ORCID 0000-0002-1330-4893
M A M SmitDepartment of Public Health, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands.
G A KwestrooDepartment of Public Health, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands.
R A VerheijNetherlands Institute for Health Services Research (Nivel), Otterstraat 118-124, Utrecht, 3513, CR, the Netherlands.
K HekNetherlands Institute for Health Services Research (Nivel), Otterstraat 118-124, Utrecht, 3513, CR, the Netherlands.
A E KunstDepartment of Public Health, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands.
Amsterdam University Medical Centers · NLNetherlands Institute for Health Services Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient gender as well as doctor gender are known to affect doctor-patient interaction during a medical consultation. It is however not known whether an interaction of gender influences antibiotic prescribing. This study examined GP's prescribing behavior of antibiotics at the first presentation of patients with sore throat symptoms in primary care. We investigated whether GP gender, patient gender and gender concordance have an effect on the GP's prescribing behavior of antibiotics in protocolled and non-protocolled diagnoses.

methodsWe analyzed electronic health record data of 11,285 GP practice consultations in the Netherlands in 2013 extracted from the Nivel Primary Care Database. Our primary outcome was the prescription of antibiotics for throat symptoms. Sore throat symptoms were split up in 'protocolled diagnoses' and 'non-protocolled diagnoses'. The association between gender concordance and antibiotic prescription was estimated with multilevel regression models that controlled for patient age and comorbidity.

resultsAntibiotic prescription was found to be lower among female GPs (OR 0.88, CI 95% 0.67-1.09; p = .265) and female patients (OR 0.93, 95% 0.84-1.02; p = .142), but observed differences were not statistically significant. The difference in prescription rates by gender concordance were small and not statistically significant in non-protocolled consultations (OR 0.92, OR 95% CI: 0.83-1.01; p = .099), protocolled consultations (OR 1.00, OR 95% CI: 0.68-1.32; p = .996) and all GP practice consultations together (OR 0.92, OR 95% CI: 0.82-1.02; p = .118). Within the female GP group, however, gender concordance was associated with reduced prescribing of antibiotics (OR 0.85, OR 95% CI: 0.72-0.99; p = 0.034).

conclusionsIn this study, female GPs prescribed antibiotics less often than male GPs, especially in consultation with female patients. This study shows that, in spite of clinical guidelines, gender interaction may influence the prescription of antibiotics with sore throat symptoms.

Indexed as

Physician-Patient RelationsAge DistributionAnti-Bacterial AgentsDrug PrescriptionsElectronic Health RecordsFamily PracticeFemaleGeneral PractitionersHumansIncidenceMaleMiddle AgedNetherlandsPharyngitisPractice Patterns, Physicians'Referral and ConsultationAnti-Bacterial AgentsAnti-bacterial agentsDrug resistanceGender roleGeneral practitionerPrescriptionsSore throat

Identifiers

PMID30447685
PMCPMC6240216
OpenAlexW2900881472

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.