Evidence map›Paper›PMID 34286273›Full record

ReviewJAC-antimicrobial resistance2021

Metrics for evaluating antibiotic use and prescribing in outpatient settings.

Valerie Leung, Bradley J Langford, Rita Ha, Kevin L Schwartz

Abstract readReview
In one paragraph

Review in JAC-antimicrobial resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A Systematic Review of Dental Antibiotic Stewardship Interventions.Community dentistry and oral epidemiology · 2025
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Spatial pattern and risk factors of resistance to important antibiotics amongAntimicrobial stewardship & healthcare epidemiology : ASHE · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Antibiotic use in Barcelona in 2023 in primary care and the potential reduction by adjusting box sizes to current guidelines.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Five steps to high quality antimicrobial stewardship research.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    Article
  19. Article
  20. 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

4 authors.

Valerie LeungPublic Health Ontario, ON, Canada.ORCID https://orcid.org/0000-0002-6780-5378
Bradley J LangfordPublic Health Ontario, ON, Canada.ORCID https://orcid.org/0000-0001-5467-6776
Rita HaNorth York Family Health Team, ON, Canada.
Kevin L SchwartzPublic Health Ontario, ON, Canada.ORCID https://orcid.org/0000-0002-3666-7005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial stewardship interventions in outpatient settings are diverse and a variety of outcomes have been used to evaluate these efforts. This narrative review describes, compares and provides specific examples of antibiotic use and other prescribing measures to help antimicrobial stewards better understand, interpret and implement metrics for this setting. A variety of data have been used including those generated from drug sales, prescribing and dispensing activities, however data generated closest to when an individual patient consumes an antibiotic is usually more accurate for estimating antibiotic use. Availability of data is often dependent on context such as information technology infrastructure and the healthcare system under consideration. While there is no ideal antibiotic use or prescribing metric for evaluating antimicrobial stewardship activities in the outpatient setting, the intervention of interest and available data sources are important factors. Common metrics for estimating antimicrobial use include DDD per 1000 inhabitants per day (DID) and days of therapy per 1000 inhabitants/day (DOTID). Other prescribing metrics such as antibiotic prescribing rate (APR), proportion of prescriptions containing an antibiotic, proportion of prolonged antibiotic courses prescribed, estimated appropriate APR and quality indicators are used to assess specific aspects of antimicrobial prescribing behaviour such as initiation, selection, duration and appropriateness. Understanding the context of prescribing practices helps to ensure feasibility and relevance when implementing metrics and targets for improvement in the outpatient setting.

Identifiers

PMID34286273
PMCPMC8287042

What OpenQuestion holds

Textmetadata
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.