Evidence map›Paper›PMID 30420401›Full record

ReviewBMJ (Clinical research ed.)2018

Advances in optimizing the prescription of antibiotics in outpatient settings.

Laura M King, Katherine E Fleming-Dutra, Lauri A Hicks

Abstract readReview
In one paragraph

Review in BMJ (Clinical research ed.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 2 pooled it
–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

73 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Audit and Feedback Interventions for Antibiotic Prescribing in Primary Care: A Systematic Review and Meta-analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
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13 more citing papers are in PubMed but not listed here.

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

3 authors.

Laura M KingDivision of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Mailstop H16-3, Atlanta, GA, 30329, US.
Katherine E Fleming-DutraDivision of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Mailstop H16-3, Atlanta, GA, 30329, US ftu2@cdc.gov.
Lauri A HicksDivision of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Mailstop H16-3, Atlanta, GA, 30329, US.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

The inappropriate use of antibiotics can increase the likelihood of antibiotic resistance and adverse events. In the United States, nearly a third of antibiotic prescriptions in outpatient settings are unnecessary, and the selection of antibiotics and duration of treatment are also often inappropriate. Evidence shows that antibiotic prescribing is influenced by psychosocial factors, including lack of accountability, perceived patient expectations, clinician workload, and habit. A varied and growing body of evidence, including meta-analyses and randomized controlled trials, has evaluated interventions to optimize the use of antibiotics. Interventions informed by behavioral science-such as communication skills training, audit and feedback with peer comparison, public commitment posters, and accountable justification-have been associated with improved antibiotic prescribing. In addition, delayed prescribing, active monitoring, and the use of diagnostics are guideline recommended practices that improve antibiotic use for some conditions. In 2016, the Centers for Disease Control and Prevention released the

Indexed as

OutpatientsPractice Patterns, Physicians'Anti-Bacterial AgentsHumansAnti-Bacterial Agents

Identifiers

PMID30420401
PMCPMC6511972

What OpenQuestion holds

Textmetadata
LicenceTDM
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.