Compassionate extubation protocol to improve team communication and support in the neonatal intensive care unit.

J Perinatol

Division of Neonatology, Department of Pediatrics, Fetal and Neonatal Institute, Children's Hospital Los Angeles, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.

Published: September 2021

Objective: Compassionate extubation (CE) can be stressful for staff and families in the neonatal intensive care unit (NICU). Our quality improvement initiative developed and implemented a novel symptom management and family support checklist and post-debriefing template to improve team communication and staff support.

Study Design: An interprofessional team performed a needs assessment, determined key drivers and intervention steps, and implemented changes using Plan-Do-Study-Act cycles. Outcomes included nursing perception of good communication with the medical team, nursing assessment of patient comfort after CE, and frequency of post-event debrief. Outcomes were analyzed using time series design with 12 months baseline data and 6 months post-implementation monitoring.

Result: Eighteen events were studied. Respondents endorsing "good" communication with the medical team increased by 60%, and debrief participation rate improved by 96%.

Conclusion: Implementation of a CE checklist and post-event debriefing sheet was associated with increased rate of debriefs and improved team communication.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8129605PMC
http://dx.doi.org/10.1038/s41372-021-01085-8DOI Listing

Publication Analysis

Top Keywords

team communication
12
compassionate extubation
8
improve team
8
neonatal intensive
8
intensive care
8
care unit
8
communication medical
8
medical team
8
team
6
communication
5

Similar Publications

We aimed to characterise the medical and social complexities experienced by Inuit children and their families from Nunavut who were cared for at a general paediatrics clinic at an urban tertiary-level hospital located in Eastern Ontario. A retrospective chart review of this cohort was completed between 2016 and 2019. Two independent reviewers extracted data from charts.

View Article and Find Full Text PDF

Empowering the Sports Scientist with Artificial Intelligence in Training, Performance, and Health Management.

Sensors (Basel)

December 2024

Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, CreativeLab Research Community, 5000-801 Vila Real, Portugal.

Artificial Intelligence (AI) is transforming the field of sports science by providing unprecedented insights and tools that enhance training, performance, and health management. This work examines how AI is advancing the role of sports scientists, particularly in team sports environments, by improving training load management, sports performance, and player well-being. It explores key dimensions such as load optimization, injury prevention and return-to-play, sports performance, talent identification and scouting, off-training behavior, sleep quality, and menstrual cycle management.

View Article and Find Full Text PDF

The "" under this Perspective underline the importance of interdisciplinary collaboration and partnerships across several disciplines, such as medical science and technology, medicine, bioengineering, and computational approaches, in bridging the gap between research, manufacturing, and clinical applications. Effective communication is key to bridging team gaps, enhancing trust, and resolving conflicts, thereby fostering teamwork and individual growth toward shared goals. Drawing from the success of the COVID-19 vaccine development, we advocate the application of similar collaborative models in other complex health areas such as nanomedicine and biomedical engineering.

View Article and Find Full Text PDF

Toward Large-Scale Photonic Chips Using Low-Anisotropy Thin-Film Lithium-Tantalate.

Adv Sci (Weinh)

January 2025

College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310058, China.

Photonic manipulation of large-capacity data with the advantages of high speed and low power consumption is a promising solution for explosive growth demands in the era of post-Moore. A well-developed lithium-niobate-on-insulator (LNOI) platform has been widely explored for high-performance electro-optic (EO) modulators to bridge electrical and optical signals. However, the photonic waveguides on the x-cut LNOI platform suffer serious polarization-mode conversion/coupling issues because of strong birefringence, making it hard to realize large-scale integration.

View Article and Find Full Text PDF

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!