Antibiotic susceptibility patterns in US children's hospitals

This study provides regional and national data on pediatric antibiotic susceptibilities at US children's hospitals. Many opportunities exist for the use and reporting of aggregate antibiograms to enhance antimicrobial stewardship processes and monitor changes in antimicrobial resistance.

Authors

Institutions

Publication Details

Journal
Journal of Hospital Medicine
Published
2025-10-21
DOI
https://doi.org/10.1002/jhm.70210
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Antibiotic susceptibility patterns in US children's hospitals

Jennifer L. Goldman, Alaina N. Burns, Ann Wirtz, Jessica L. Markham et al.
Journal of Hospital Medicine
Antibiotic Use and Resistance
article

Antibiotic susceptibility patterns in US children's hospitals

Jennifer L. Goldman, Alaina N. Burns, Ann Wirtz, Jessica L. Markham, Matt Hall, Jason G. Newland
article en

Abstract

This study provides regional and national data on pediatric antibiotic susceptibilities at US children's hospitals. Many opportunities exist for the use and reporting of aggregate antibiograms to enhance antimicrobial stewardship processes and monitor changes in antimicrobial resistance.

Journal of Hospital MedicineVol. 21(1)
Nationwide Children's Hospital (US), Children's Mercy Hospital (US), University of Kansas (US), Children's Hospital Association (US), University of Missouri–Kansas City (US)
Openalex Percentile: Top 64%
Antibiotic Use and Resistance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.