Background: The Joint Commission on the Accreditation of Healthcare Organizations reports that communication breakdowns are responsible for 85% of sentinel events in hospitals. Patients in surgical ICUs are the most vulnerable to communication errors. Fellows and residents are an integral part of the surgical ICU team, but little is known about resident-fellow communication and its impact on surgical ICU patient outcomes. The objective of this study is to describe resident-fellow patient care communication patterns in the surgical ICU and correlate established communication patterns with short-term outcomes.
Study Design: A prospective observational trial was conducted for 136 consecutive surgical ICU days. We evaluated resident-fellow communication of four cardiorespiratory events: hypotension, new arrhythmias, tachypnea, and desaturation. We prospectively defined three short-term outcomes: improved, not improved, and worse. An intervention was attempted to improve communication.
Results: Three hundred twelve events were collected (166 observational and 146 interventional). PGY3 residents covered approximately 60% of days in both phases. PGY3 residents were responsible for 73% of communication errors in the observational phase and 59% of communication errors in the interventional phase. Communication errors were more likely in the late shift (p < 0.0001). The late shift was responsible for 77% of all communication errors. Communication errors resulted in worse short-term outcomes for cardiorespiratory events (p < 0.0002). Effective communication was a significant predictor of improved short-term outcomes (p < 0.0003). The intervention decreased communication errors in the late shift by 10% (p < 0.052).
Conclusions: Communication errors occurred more frequently during the late shift. These communication errors were associated with worsened short-term outcomes. Improved communication in the surgical ICU is a fruitful target to improve clinical outcomes.
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http://dx.doi.org/10.1016/j.jamcollsurg.2009.09.025 | DOI Listing |
PLoS One
January 2025
Department of Computer Science, University of Jaén, Jaén, Spain.
In the production sector, the usefulness of predictive systems as a tool for management and decision-making is well known. In the agricultural sector, a correct economic balance of the farm depends on making the right decisions. For this purpose, having information in advance on crop yields is an extraordinary help.
View Article and Find Full Text PDFAm J Physiol Heart Circ Physiol
January 2025
NTTR-NCVC Bio Digital Twin Center, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan.
Positive end-expiratory pressure (PEEP) improves respiratory conditions. However, the complex interaction between PEEP and hemodynamics in heart failure patients makes it challenging to determine appropriate PEEP settings. In this study, we developed a framework for the impact of PEEP on hemodynamics considering cardiac function, by integrating the impact of PEEP in the generalized circulatory equilibrium framework, and validated the framework by assessing its ability to accurately predict PEEP-induced hemodynamics.
View Article and Find Full Text PDFJ Educ Health Promot
November 2024
Department of Midwifery and Reproductive Health, Faculty of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran.
Background: Ethical performance is one of the main components of maternal and fetal care. Nurturing and training students who meet professional ethics in midwifery is of utmost importance. It is essential to assess the level of adherence of students and graduates to the codes of ethics in order to determine the extent of education needs in this regard.
View Article and Find Full Text PDFContemp Clin Trials Commun
February 2025
Department of Family Medicine, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Background: Written discharge instructions after hospitalization promote patient understanding and positive clinical outcomes. Despite the rising prevalence of patients with non-English language preference (NELP) in the U.S.
View Article and Find Full Text PDFComput Med Imaging Graph
January 2025
The SMART (Smart Medicine and AI-based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China; Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, China. Electronic address:
Parkinson disease (PD) is a prevalent neurodegenerative disorder, and its accurate diagnosis is crucial for timely intervention. We propose the PArkinson disease Denoising and Segmentation Network (PADS-Net), to simultaneously denoise and segment transcranial ultrasound images of midbrain for accurate PD diagnosis. The PADS-Net is built upon generative adversarial networks and incorporates a multi-task deep learning framework aimed at optimizing the tasks of denoising and segmentation for ultrasound images.
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