Background: Increased noxious noise leads to adverse short-term and long-term effects on the growing neonate. The American Academy of Pediatrics recommends maintaining a noise level of less than 45 decibels (dBA). The average baseline noise level in an open-pod neonatal intensive care unit (NICU) was 62.6 dBA.
Purpose: The purpose of this pilot project was to reduce the average noise levels by 39% at the end of an 11-week period.
Methods: The location of the project was in a large, high-acuity level IV open-pod layout NICU that consisted of 4 pods, one of which was cardiac-focused. The average baseline noise level in the cardiac pod was 62.6 dBA in a 24-hour period. Noise levels were not monitored before this pilot project. This project was implemented over an 11-week period. Several modes of education were used for parents and staff. Post-education, Quiet Times were implemented at set times twice daily. Noise levels were monitored for 4 weeks during Quiet Times, with weekly noise level updates for staff. General noise levels were collected a final time to evaluate the overall change in the average noise levels.
Results: At the end of the project, noise levels decreased from 62.6 dBA to 54 dBA, a 13.7% reduction.
Implications For Practice And Research: At the end of this pilot project it was noted that: Online modules were the best way to educate staff. Parents should be included in the implementation of quality improvement. Healthcare providers need to know and understand that they can make preventative changes to improve the outcomes of the population.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/ANC.0000000000001074 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Integration of gene expression and DNA methylation data using MLA-GNN for liver cancer biomarker mining.
Front Genet
December 2024
School of information engineering, Jingdezhen Ceramic University, Jingdezhen, China.
The early symptoms of hepatocellular carcinoma patients are often subtle and easily overlooked. By the time patients exhibit noticeable symptoms, the disease has typically progressed to middle or late stages, missing optimal treatment opportunities. Therefore, discovering biomarkers is essential for elucidating their functions for the early diagnosis and prevention.
View Article and Find Full Text PDFOver the past two decades, rapid advancements in magnetic resonance technology have significantly enhanced the imaging resolution of functional Magnetic Resonance Imaging (fMRI), far surpassing its initial capabilities. Beyond mapping brain functional architecture at unprecedented scales, high-spatial-resolution acquisitions have also inspired and enabled several novel analytical strategies that can potentially improve the sensitivity and neuronal specificity of fMRI. With small voxels, one can sample from different levels of the vascular hierarchy within the cerebral cortex and resolve the temporal progression of hemodynamic changes from parenchymal to pial vessels.
View Article and Find Full Text PDFAutomatic image generation and stage prediction of breast cancer immunobiological through a proposed IHC-GAN model.
BMC Med Imaging
January 2025
Electronics and Communications, Arab Academy for Science, Heliopolis, Cairo, 2033, Egypt.
Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epidermal growth factor receptor 2 (HER2) expression levels. While immunohistochemical techniques (IHC) are the gold standard for HER2 evaluation, their implementation can be resource-intensive and costly. To reduce these obstacles and expedite the procedure, we present an efficient deep-learning model that generates high-quality IHC-stained images directly from Hematoxylin and Eosin (H&E) stained images.
View Article and Find Full Text PDFAttention activation network for bearing fault diagnosis under various noise environments.
Sci Rep
January 2025
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China.
Bearings are critical in mechanical systems, as their health impacts system reliability. Proactive monitoring and diagnosing of bearing faults can prevent significant safety issues. Among various diagnostic methods that analyze bearing vibration signals, deep learning is notably effective.
View Article and Find Full Text PDFUsing a novel smartphone app to track noise and vibration exposure during neonatal ambulance transport.
Arch Dis Child Fetal Neonatal Ed
January 2025
Centre for Perinatal Research, University of Nottingham, School of Medicine, Nottingham, UK
Objective: To assess the utility of a bespoke smartphone app to map noise and vibration exposure across neonatal road ambulance journeys.
Design And Setting: Prospective observational study of ambulance journeys across a large UK neonatal transport service. Smartphones, with an in-house developed app, were secured to incubator trolleys to collect vibration and noise data for comparison with international standards.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!