Evidence map›Paper›PMID 39334979›Full record

ArticleAntibiotics (Basel, Switzerland)2024

Days of Antibiotic Spectrum Coverage (DASC) as a Metric for Evaluating the Impact of Prospective Audit and Feedback (PAF) against Long-Term Broad-Spectrum Antibiotic Use.

Yuichi Shibata, Jun Hirai, Nobuaki Mori, Nobuhiro Asai, Mao Hagihara, Hiroshige Mikamo

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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.

Yuichi ShibataDepartment of Pharmacy, Aichi Medical University Hospital, Nagakute 480-1195, Aichi, Japan.
Jun HiraiDepartment of Infection Control and Prevention, Aichi Medical University Hospital, Nagakute 480-1195, Aichi, Japan.
Nobuaki MoriDepartment of Infection Control and Prevention, Aichi Medical University Hospital, Nagakute 480-1195, Aichi, Japan.ORCID 0000-0002-1433-0276
Nobuhiro AsaiDepartment of Infection Control and Prevention, Aichi Medical University Hospital, Nagakute 480-1195, Aichi, Japan.
Mao HagiharaDepartment of Molecular Epidemiology and Biomedical Sciences, Aichi Medical University, Nagakute 480-1195, Aichi, Japan.
Hiroshige MikamoDepartment of Infection Control and Prevention, Aichi Medical University Hospital, Nagakute 480-1195, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to evaluate the impact of prospective audit and feedback (PAF) on the use of inpatient broad-spectrum antibiotics for more than 10 days using days of therapy (DOT) and a novel metric called days of antibiotic spectrum coverage (DASC) to assess whether the antimicrobial spectrum was narrowed. Conducted at Aichi Medical University Hospital in Japan, the study compared a six-month baseline period (April to September 2022) with a six-month intervention period (April to September 2023). The primary outcome measures were changes in DOT/patient and DASC/patient for broad-spectrum antibiotics. Propensity score matching was performed between two periods and a total of 172 patients were included in the study (pre-intervention, n = 86; intervention, n = 86). The DASC/patient of broad-spectrum antibiotics was statistically decreased in the intervention period compared to that in the baseline period (153.3 vs. 122.7,

Indexed as

antimicrobial stewardship programs (ASPs)days of antibiotic spectrum coverage (DASC)days of therapy (DOT)prospective audit and feedback (PAF)

Identifiers

PMID39334979
PMCPMC11428810

What OpenQuestion holds

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Registered trials

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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.