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Updated: Jul 7, 2025

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn
Published on: April 7, 2023
Trends in Low-Value Care Among Children's Hospitals
Samantha A House1, Jennifer R Marin2, Eric R Coon3
1Department of Pediatrics, Geisel School of Medicine, Dartmouth College, Hanover, and New Hampshire Dartmouth Health Children's, Lebanon, New Hampshire.
Background And Objectives:
Longitudinal pediatric low-value care (LVC) trends are not well established. We used the Pediatric Health Information System LVC Calculator, which measures utilization of 30 nonevidenced-based services, to report 7-year LVC trends.
Methods:
This retrospective cohort study applied the LVC Calculator to emergency department (ED) and hospital encounters from January 1, 2016, to December 31, 2022. We used generalized estimating equation models accounting for hospital clustering to assess temporal changes in LVC.
Results:
There were 5 265 153 eligible ED encounters and 1 301 613 eligible hospitalizations. In 2022, of 21 LVC measures applicable to the ED cohort, the percentage of encounters with LVC had increased for 11 measures, decreased for 1, and remained unchanged for 9 as compared with 2016. Computed tomography for minor head injury had the largest increase (17%-23%; P < .001); bronchodilators for bronchiolitis decreased (22%-17%; P = .001). Of 26 hospitalization measures, LVC increased for 6 measures, decreased for 9, and was unchanged for 11. Inflammatory marker testing for pneumonia had the largest increase (23%-38%; P = .003); broad-spectrum antibiotic use for pneumonia had the largest decrease (60%-48%; P < .001). LVC remained unchanged or decreased for most medication and procedure measures, but remained unchanged or increased for most laboratory and imaging measures.
Conclusions:
LVC improved for a minority of services between 2016 and 2022. Trends were more favorable for therapeutic (medications and procedures) than diagnostic measures (imaging and laboratory studies). These data may inform prioritization of deimplementation efforts.
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