Objective: To survey neonatologists as to how many use population-based outcomes data to counsel families before and after the birth of 22- to 25-week preterm infants.
Study Design: An anonymous online survey was distributed to 1022 neonatologists in the US. Questions addressed the use of population-based outcome data in prenatal and postnatal counseling.
Results: Ninety-one percent of neonatologists reported using population-based outcomes data for counseling. The National Institute of Child Health and Human Development Neonatal Research Network Outcomes Data is most commonly used (65%) with institutional databases (14.5%) the second choice. Most participants (89%) reported that these data influence their counseling, but it was less clear whether specific estimates of mortality and morbidity influenced families; 36% of neonatologist felt that these data have little or no impact on families. Seventy-one percent reported that outcomes data estimates confirmed their own predictions, but among those who reported having their assumptions challenged, most had previously been overly pessimistic. Participants place a high value on gestational age and family preference in counseling; however, among neonatologists in high-volume centers, the presence of fetal complications was also reported to be an important factor. A large portion of respondents reported using prenatal population-based outcomes data in the neonatal intensive care unit.
Conclusion: Despite uncertainty about their value and impact, neonatologists use population-based outcomes data and provide specific estimates of survival and morbidity in consultation before and after extremely preterm birth. How best to integrate these data into comprehensive, family-centered counseling of infants at the margin of viability is an important area of further study.
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http://dx.doi.org/10.1016/j.jpeds.2016.10.021 | DOI Listing |
Clin Oncol (R Coll Radiol)
December 2024
Radiation Oncology Network, Westmead Hospital, Westmead, NSW, Australia; Sydney Medical School, The University of Sydney, Camperdown, NSW 2006, Australia. Electronic address:
Aims: Unresectable cutaneous squamous cell cancer of the head and neck (HNcSCC) poses treatment challenges in elderly and comorbid patients. Radiation therapy (RT) is often employed for locoregional control. This study aimed to determine progression-free survival (PFS) and overall survival (OS) outcomes achieved with upfront RT in unresectable HNcSCC.
View Article and Find Full Text PDFAm J Emerg Med
January 2025
Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale University, New Haven, CT, USA.
Background: This study aimed to examine how physician performance metrics are affected by the speed of other attendings (co-attendings) concurrently staffing the ED.
Methods: A retrospective study was conducted using patient data from two EDs between January-2018 and February-2020. Machine learning was used to predict patient length of stay (LOS) conditional on being assigned a physician of average speed, using patient- and departmental-level variables.
Am J Emerg Med
January 2025
Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain; Emergency Department, Hospital Clínico Universitario, Gerencia Regional de Salud de Castilla y León, Valladolid, Spain.
Background: The study of the inclusion of new variables in already existing early warning scores is a growing field. The aim of this work was to determine how capnometry measurements, in the form of end-tidal CO2 (ETCO2) and the perfusion index (PI), could improve the National Early Warning Score (NEWS2).
Methods: A secondary, prospective, multicenter, cohort study was undertaken in adult patients with unselected acute diseases who needed continuous monitoring in the emergency department (ED), involving two tertiary hospitals in Spain from October 1, 2022, to June 30, 2023.
Pain
February 2025
Department of Anesthesiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.
Chronic pain is a pervasive and debilitating condition with increasing implications for public health, affecting millions of individuals worldwide. Despite its high prevalence, the underlying neural mechanisms and pathophysiology remain only partly understood. Since its introduction 35 years ago, brain diffusion magnetic resonance imaging (MRI) has emerged as a powerful tool to investigate changes in white matter microstructure and connectivity associated with chronic pain.
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