We examined systems-level costs before and after the implementation of an emergency department paediatric sepsis screening, recognition and treatment pathway. Aggregated hospital admissions for all children aged < 18y with a diagnosis code of sepsis upon admission in Queensland, Australia were compared for 16 participating and 32 non-participating hospitals before and after pathway implementation. Monte Carlo simulation was used to generate uncertainty intervals. Policy impacts were estimated using difference-in-difference analysis comparing observed and expected results. We compared 1055 patient episodes before (77.6% in-pathway) and 1504 after (80.5% in-pathway) implementation. Reductions were likely for non-intensive length of stay (- 20.8 h [- 36.1, - 8.0]) but not intensive care (-9.4 h [- 24.4, 5.0]). Non-pathway utilisation was likely unchanged for interhospital transfers (+ 3.2% [- 5.0%, 11.4%]), non-intensive (- 4.5 h [- 19.0, 9.8]) and intensive (+ 7.7 h, [- 20.9, 37.7]) care length of stay. After difference-in-difference adjustment, estimated savings were 596 [277, 942] non-intensive and 172 [148, 222] intensive care days. The program was cost-saving in 63.4% of simulations, with a mean value of $97,019 [- $857,273, $1,654,925] over 24 months. A paediatric sepsis pathway in Queensland emergency departments was associated with potential reductions in hospital utilisation and costs.
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http://dx.doi.org/10.1038/s41598-022-14226-6 | DOI Listing |
Pediatr Res
January 2025
Neonatal Intensive Care Unit, University Hospital of Modena, Via del Pozzo, 41124, Modena, Italy.
Background: Our aim was to develop a quantitative model for immediately estimating the risk of death and/or brain injury in late-onset sepsis (LOS) in preterm infants, based on objective and measurable data available at the time sepsis is first suspected (i.e., time of blood culture collection).
View Article and Find Full Text PDFNeuroimage Rep
December 2024
Department of Pediatrics, Division of Developmental-Behavioral Pediatrics, Stanford University, Stanford, CA, USA.
Background: Severe neonatal inflammatory conditions in very preterm infants (VPT: <32 weeks gestational age, GA) are linked to adverse neurodevelopmental outcomes. Differences in white matter (WM) microstructure of the corpus callosum (CC) have been observed at age 6 in VPT children with a history of severe neonatal inflammation. The goal of this study was to determine whether these CC differences can be detected at term-equivalent age using diffusion MRI (dMRI), and whether neonatal inflammation is associated with altered WM in additional tracts implicated in the encephalopathy of prematurity.
View Article and Find Full Text PDFAm J Transl Res
December 2024
Department of Pediatrics, Yuyao People's Hospital Yuyao 315400, Zhejiang, China.
Objective: (UU) is an opportunistic pathogen transmitted from mother to fetus, potentially causing neonatal diseases. Despite extensive research, its association with these diseases remains uncertain. This study analyzes the effects of UU infection on newborns.
View Article and Find Full Text PDFInfection
November 2024
Division of Neonatology, Department of Women's and Children's Health, University of Leipzig Medical Center, Liebigstraße 20a, 04103, Leipzig, Germany.
Purpose: Ureaplasma species (spp.) are relevant contributors to preterm birth but may also cause invasive infections particularly in very immature preterm infants. This study aimed to assess the incidence of neonatal Ureaplasma infections of the central nervous system (CNS).
View Article and Find Full Text PDFPediatrics
January 2025
Department of Graduate Medical Education, Akron Children's Hospital, Akron, Ohio.
Objective: The 2021 American Academy of Pediatrics clinical practice guideline (CPG) for well-appearing febrile infants aims to promote evidence-based care, reduce practice variability, enhance care quality, and optimize cost. We aimed to examine the trends in resource utilization and cost associated with the evaluation and management of febrile infants aged 8 to 60 days before and after the CPG's publication.
Methods: We performed a retrospective cross-sectional study using the Pediatric Health Information Systems Database, covering the periods of August 2019 to July 2021 (pre-CPG) and August 2021 to July 2023 (post-CPG).
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