Evidence map›Paper›PMID 29558417›Full record

ArticleAntibiotics (Basel, Switzerland)2018

Geographic Variation in Antibiotic Consumption-Is It Due to Doctors' Prescribing or Patients' Consulting?

Marte Meyer Walle-Hansen, Sigurd Høye

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Marte Meyer Walle-HansenBærum Hospital, Vestre Viken Hospital Trust, 3019 Drammen, Norway. marte@hansencorp.eu.ORCID 0000-0002-7695-2134
Sigurd HøyeAntibiotic Centre for Primary Care, Department of General Practice, Institute of Health and Society, University of Oslo, 0315 Oslo, Norway. sigurd.hoye@medisin.uio.no.
University of Oslo · NOVestre Viken Hospital Trust · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic consumption varies greatly between Norwegian municipalities. We examine whether this variation is associated with inhabitants' consultation rates or general practitioners' (GP) prescription rates. Our study comprises consultations and antibiotic prescriptions for respiratory tract infections (RTIs) in general practice in all Norwegian municipalities with over 5000 inhabitants in 2014. Data was collected from The Norwegian Prescription Database, The Directorate of Health's system for control and payment of health reimbursements registry and Norway Statistics. Consultation rates and prescription rates were categorised in age- and gender specific quintiles and the effect on antibiotic consumption was analysed using a Poisson regression model. We found that inhabitants with RTIs received 42% more prescriptions if they belonged to a municipality with high consultation rates compared to low consultation rates [incidence rate ratio (IRR) 1.42 (95% CI 1.41-1.44)] and 48% more prescriptions if they belonged to a municipality with high prescription rates versus low prescription rates [IRR 1.48 (95% KI 1.47-1.50)]. Our results demonstrate that inhabitants' consultation rates and GPs' prescription rates have about equal impact on the number of RTI antibiotics prescribed at municipality level. These findings highlight the importance of interventions targeting patients as well as doctors in efforts to reduce unnecessary antibiotic consumption.

Indexed as

antibiotic resistancedrug consumptiongeneral practicepharmacoepidemiologyrespiratory tract infections

Identifiers

PMID29558417
PMCPMC5872137
OpenAlexW2790358869

What OpenQuestion holds

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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.