Objectives: This study aimed to describe resuscitation practices in level-IV neonatal intensive care units (NICUs) and identify possible areas of improvement.
Study Design: This study was a cross-sectional cohort survey and conducted at the Level-IV NICUs of Children's Hospital Neonatal Consortium (CHNC). The survey was developed with consensus from resuscitation and education experts in the CHNC and pilot tested. An electronic survey was sent to individual site sponsors to determine unit demographics, resuscitation team composition, and resuscitation-related clinical practices.
Results: Of the sites surveyed, 33 of 34 sites responded. Unit average daily census ranged from less than 30 to greater than 100, with the majority (72%) of the sites between 30 and 75 patients. A designated code response team was utilized in 18% of NICUs, only 30% assigned roles before or during codes. The Neonatal Resuscitation Program (NRP) was the exclusive algorithm used during codes in 61% of NICUs, and 34% used a combination of NRP and the Pediatric Advanced Life Support (PALS). Most (81%) of the sites required neonatal attendings to maintain NRP training. A third of sites (36%) lacked protocols for high-acuity events. A code review process existed in 76% of participating NICUs, but only 9% of centers enter code data into a national database.
Conclusion: There is variability among units regarding designated code team presence and composition, resuscitation algorithm, protocols for high-acuity events, and event review. These inconsistencies in resuscitation teams and practices provide an opportunity for standardization and, ultimately, improved resuscitation performance. Resources, education, and efforts could be directed to these areas to potentially impact future neonatal outcomes of the complex patients cared for in level-IV NICUs.
Key Points: · Resuscitation practice is variable in level-IV NICUs.. · Resuscitation algorithm training is not uniform. · Standardized protocols for high-acuity low-occurrence (HALO) events are lacking.
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http://dx.doi.org/10.1055/a-1863-2312 | DOI Listing |
J Perianesth Nurs
October 2024
Center for Nursing Science and Clinical Inquiry, Landstuhl Regional Medical Center, Landstuhl/Kirchberg, Rheinland-Pfalz, Germany.
Purpose: To reduce opioid consumption and decrease length of stay (LOS) in bariatric surgical patients by implementing an evidence-based, nonpharmacologic enhanced recovery after surgery (ERAS) intervention bundle.
Design: Evidence-based practice project.
Methods: We developed and implemented a nonpharmacologic ERAS bundle from existing American Society of PeriAnesthesia Nurses Standards and bariatric and subspecialty surgical ERAS protocols to standardize the postoperative nursing care of bariatric patients.
Res Involv Engagem
October 2024
Department of Vision Sciences, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.
Background: We conducted an NIHR-funded evidence synthesis project, reviewing evidence relating to interventions for perceptual disorders following stroke. This related paper describes how people with lived experience of stroke-related perceptual disorders contributed to and influenced the project, and identifies lessons for future review projects.
Methods: We planned our patient and public involvement and engagement (PPIE) activities within a study protocol, described according to the domains of the ACTIVE framework; these were founded on principles for good practice in PPIE.
West J Emerg Med
September 2024
Albert Einstein College of Medicine, Bronx, New York.
Introduction: Emergency department (ED) patients requiring immediate treatment often bypass a triage process that includes HIV screening. In this study we aimed to investigate the potential missed opportunity to screen these patients for HIV.
Methods: We conducted this cross-sectional study in a municipal ED over a six-week period between June-August 2019.
Cureus
August 2024
Department of Emergency Medicine, Long Island Jewish Medical Center, Northwell Health, Long Island, USA.
Introduction The Emergency Severity Index (ESI) stratifies emergency department (ED) patients for triage, from "most acute" (level 1) to "least acute" (level 5). Many EDs have a split flow model where less acute (ESI 4 and 5) are seen in a fast track, while more acute (ESI 1, 2, and 3) are seen in the acute care area. A core principle of emergency medicine (EM) is to attend to more acute patients first.
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