Evidence map›Paper›PMID 36310784›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2022

Effectiveness of an electronic health system-based best-practice advisory to enhance the time to de-escalation of vancomycin for respiratory indications.

Amanda C Gibbs, Daniel A Jackson, Senka Runjaic, Vanessa J Toncray, Wendelyn Bosch, Julio C Mendez, Kevin L Epps

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

7 authors.

Amanda C GibbsMayo Clinic School of Graduate Medical Education, Mayo Clinic College of Medicine and Science, Jacksonville, Florida.
Daniel A JacksonPharmacy Services, Mayo Clinic, Jacksonville, Florida.
Senka RunjaicPharmacy Services, Mayo Clinic, Jacksonville, Florida.
Vanessa J ToncrayPharmacy Services, Mayo Clinic, Jacksonville, Florida.
Wendelyn BoschDivision of Infectious Diseases, Mayo Clinic, Jacksonville, Florida.ORCID https://orcid.org/0000-0003-3021-2752
Julio C MendezDivision of Infectious Diseases, Mayo Clinic, Jacksonville, Florida.
Kevin L EppsPharmacy Services, Mayo Clinic, Jacksonville, Florida.ORCID https://orcid.org/0000-0003-2780-233X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Methicillin-resistant Design: Retrospective, single-center cohort study. Setting: Tertiary-care academic medical center (Mayo Clinic) in Jacksonville, Florida. Patients: Eligible patients received empiric treatment with vancomycin for suspected or confirmed respiratory infections from January through April 2019 (preimplementation cohort) and from October 2019 through January 2020 (postimplementation cohort). Intervention: The electronic health system software was modified to provide a best-practice advisory (BPA) prompt to the pharmacist upon order verification of vancomycin for patients with suspected or confirmed respiratory indications. Pharmacists were prompted to order a MRSA nasal swab if it was not already ordered by the provider. Methods: We reviewed patient records to determine the time from vancomycin prescription to de-escalation. The secondary end point was incidence of acute kidney injury. Results: The study included 120 patients (preimplementation, n = 61; postimplementation, n = 59). Median time to de-escalation was significantly shorter for the postimplementation cohort: 76 hours (interquartile range [IQR], 52-109) versus 42 hours (IQR, 37-61; Conclusions: Implementation of a BPA notification for MRSA nasal screening helped decrease the time to de-escalation of vancomycin.

Identifiers

PMID36310784
PMCPMC9614809

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.