Evidence map›Paper›PMID 38156220›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2023

Ecologic analysis of antimicrobial use in South Carolina hospitals during 2020-2022.

Pamela Bailey, Shujie Chen, Majdi N Al-Hasan, Bankole Olatosi, Xiaoming Li, Jiajia Zhang

Abstract 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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pamela BaileyDepartment of Internal Medicine, Division of Infectious Diseases, Prisma Health-Midlands, Columbia, SC, USA.ORCID https://orcid.org/0000-0002-6953-8955
Shujie ChenDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Majdi N Al-HasanDepartment of Internal Medicine, Division of Infectious Diseases, Prisma Health-Midlands, Columbia, SC, USA.ORCID https://orcid.org/0000-0001-6501-492X
Bankole OlatosiBig Data Health Science Center, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.ORCID https://orcid.org/0000-0002-8295-8735
Xiaoming LiBig Data Health Science Center, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.ORCID https://orcid.org/0000-0002-5555-9034
Jiajia ZhangDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.

Funding

Big Data Health Science Fellow Program in Infectious Disease ResearchR25AI164581 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LI, XIAOMING, ZHANG, JIAJIA · 2021 to 2025
$2.1M
NIAID NIH HHS R25 AI164581
6 · The paper itself

Abstract

Background: Factors influencing excessive antimicrobial utilization in hospitalized patients remain poorly understood, particularly with the COVID-19 pandemic. Methods: In this retrospective cohort, we compared administrative data regarding antimicrobial prescriptions in hospitalized patients in South Carolina from March 2020 through September 2022. The study examined variables associated with antimicrobial use across demographics, COVID status, and length of stay, among other variables. Results: Significant relationships were seen with antimicrobial use in COVID-19 positive patients (OR 2.00, 95% Confidence Interval (CI): 1.9-2.1), young adults (OR 1.08, 95% CI: 0.99-1.12, COVID-19 positive Blacks and Hispanics (OR 1.06, 95% CI: 1.01-1.11, OR 1.05, 95% CI: 0.89-1.23), and COVID-19 positive patients with ≥2 comorbid conditions (OR 1.55, 95% CI: 1.43-1.68). Discussion: Further analysis in more than one healthcare system should explore these ecologic relationships further to understand if these are common trends to inform ongoing stewardship interventions.

Identifiers

PMID38156220
PMCPMC10753502

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.