Evidence map›Paper›PMID 37205319›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2023

Use of clinical decision support for antibiotic stewardship in the emergency department and outpatient clinics: An interrupted time-series analysis.

James S Ford, Brittany L Morgan Bustamante, Mehr Kaur Virk, Nancy Ramirez, Cynthia G Matsumoto, Daniel Jin Lee, Scott MacDonald, Larissa May

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

8 authors at 2 institutions in 1 country.

James S Ford *Department of Emergency Medicine, University of California-San Francisco, San Francisco, California.ORCID https://orcid.org/0000-0003-0311-0718
Brittany L Morgan Bustamante *Department of Public Health Sciences, University of California-Davis School of Medicine, Davis, California.ORCID https://orcid.org/0000-0002-0280-0904
Mehr Kaur VirkDepartment of Emergency Medicine, University of California Davis, School of Medicine. Sacramento, California.
Nancy RamirezDepartment of Emergency Medicine, University of California Davis, School of Medicine. Sacramento, California.
Cynthia G MatsumotoOffice of Population Health and Accountable Care, University of California Davis, Sacramento, California.
Daniel Jin LeeDepartment of Emergency Medicine, University of California Davis, School of Medicine. Sacramento, California.
Scott MacDonaldDepartment of Clinical Informatics, University of California Davis Health, Sacramento, California.ORCID https://orcid.org/0000-0003-0797-656X
Larissa MayDepartment of Emergency Medicine, University of California Davis, School of Medicine. Sacramento, California.
University of California, Davis · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the impact of implementing clinical decision support (CDS) tools for outpatient antibiotic prescribing in the emergency department (ED) and clinic settings. Design: We performed a before-and-after, quasi-experimental study that employed an interrupted time-series analysis. Setting: The study institution was a quaternary, academic referral center in Northern California. Participants: We included prescriptions for patients in the ED and 21 primary-care clinics within the same health system. Intervention: We implemented a CDS tool for azithromycin on March 1, 2020, and a CDS tool for fluoroquinolones (FQs; ie, ciprofloxacin, levofloxacin, and moxifloxacin) on November 1, 2020. The CDS added friction to inappropriate ordering workflows while adding health information technology (HIT) features to easily perform recommended actions. The primary outcome was the number of monthly prescriptions for each antibiotic type, by implementation period (before vs after). Results: Immediately after azithromycin-CDS implementation, monthly rates of azithromycin prescribing decreased significantly in both the ED (-24%; 95% CI, -37% to -10%; Conclusion: Implementing CDS tools was associated with an immediate decrease in azithromycin prescriptions, in both the ED and clinics. CDS may serve as a valuable adjunct to existing antimicrobial stewardship programs.

Identifiers

PMID37205319
PMCPMC10186615
OpenAlexW4367154760

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.