AI Article Synopsis
- Patient safety events are especially likely to happen in high-risk areas like intensive care units, operating rooms, and emergency departments, where there’s often a lack of realistic practice opportunities for healthcare teams dealing with rare but critical situations, such as pediatric resuscitations.
- To address this, researchers used a 'train-the-trainer' model to conduct in situ simulations in three emergency departments, training healthcare instructors to help their teams practice pediatric resuscitation in real clinical environments during 2018-2019.
- The study showed that these simulations improved team performance and communication while revealing hidden safety threats, and future efforts will focus on sustaining gains in pediatric readiness and applying the findings to other challenging clinical areas.
Article Abstract
Problem: Given the complex interaction among patients, individual providers, health care teams, and the clinical environment, patient safety events with serious consequences are most likely to occur in intensive care units, operating rooms, and emergency departments (EDs). With low-frequency, high-risk events such as pediatric resuscitations, health care teams working in EDs may not have the clinical opportunity to identify deficiencies, review and reinforce knowledge and skills, and problem solve in authentic clinical conditions. Without creating opportunities to safely practice, hospitals run the risk of having health care teams and environments that are not prepared to provide optimal patient care.
Approach: Researchers employed a case series design and used a train-the-trainer model for in situ simulation. They trained health care professionals (instructors) in 3 general, nonacademic EDs in the San Francisco Bay area of California to perform pediatric resuscitation in situ simulations in 2018-2019. In situ simulations occur in the clinical work environment with simulation participants (teams) who are health care professionals taking care of actual patients.
Outcomes: Teams made up of physicians, nurses, and ED technicians were evaluated for clinical performance, teamwork, and communication during in situ simulations conducted by instructors at baseline, 6 months, and 12 months. Debriefing after the simulations identified multiple latent safety threats (i.e., unidentified potential safety hazards) that were previously unknown. Each ED's pediatric readiness-its ability to provide emergency care for children-was evaluated at baseline and 12 months.
Next Steps: The authors will continue to monitor and examine the impact and sustainability of the pediatric in situ simulation program on pediatric readiness scores and its possible translation to other high-risk clinical settings, as well as explore the relationship between in situ simulations and patient outcomes.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/ACM.0000000000003807 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluation of water environmental capacity in a northern river-reservoir continuum using environmental fluid dynamics code.
Sci Total Environ
January 2025
School of Earth System Science, Tianjin University, Tianjin 300072, China.
The hydrodynamics, water temperature, and water quality model for the Dan River and Renzhuang Reservoir continuum were developed using field monitoring data and the Environmental Fluid Dynamics Code (EFDC). An in-situ water discharge experiment enabled the calculation of water propagation time using a simulated flood progression method and the hydrodynamics module of EFDC. Based on these model results, degradation coefficients for chemical oxygen demand, biochemical oxygen demand, nitrogen (N), phosphorus (P), fluoride, arsenic were determined, revealing significantly higher values when the wetland barrage was opening.
View Article and Find Full Text PDFPutative past, present, and future spatial distributions of deep-sea coral and sponge microbiomes revealed by predictive models.
ISME Commun
January 2024
Department of Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS B2Y 4A2, Canada.
Knowledge of spatial distribution patterns of biodiversity is key to evaluate and ensure ocean integrity and resilience. Especially for the deep ocean, where in situ monitoring requires sophisticated instruments and considerable financial investments, modeling approaches are crucial to move from scattered data points to predictive continuous maps. Those modeling approaches are commonly run on the macrobial level, but spatio-temporal predictions of host-associated microbiomes are not being targeted.
View Article and Find Full Text PDFNickel-Doping Induced Oxygen Vacancies in MnO Hollow Cube with Enlarged Interlayer Spacing for Stable Sodium Ions Storage.
Small
January 2025
School of Chemistry, South China Normal University, Guangzhou, 510006, P. R. China.
Intrinsic low conductivity, poor structural stability, and narrow interlayer spacing limit the development of MnO in sodium-ion (Na) supercapacitors. This work constructs the hollow cubic Mn-PBA precursor through an ion-exchange process to in situ obtain a hollow cubic H-Ni-MnO composite with Ni doping and oxygen vacancies (O) via a self-oxidation strategy. Experiments and theoretical calculations show that the hollow nanostructure and the expanding interlayer spacing induced by Ni doping are beneficial for exposing more reactive sites, synergistically manipulating the Na transport pathways.
View Article and Find Full Text PDFHybrid in-situ and ex-situ hydrolysis of catalytic epoxidation neem oil via a peracid mechanism.
Sci Rep
January 2025
Chemical Engineering Studies, College of Engineering, Universiti Teknologi MARA, Cawangan Johor, Kampus Pasir Gudang, Masai Johor, 81750, Malaysia.
The depletion of oil reserves and their price and availability volatility raise researchers' concerns about renewable resources for epoxidized material. This study aims to produce in situ and ex-situ hydrolyzed dihydroxy stearic acid via the epoxidation of neem oil. Epoxidized neem oil was synthesized using in situ-generated performic acid.
View Article and Find Full Text PDFAssessment of soil classification based on cone penetration test data for Kaifeng area using optimized support vector machine.
Sci Rep
January 2025
School of Civil Engineering and Architecture, Henan University, Kaifeng, 475004, China.
Soil classification and analysis are essential for understanding soil properties and serve as a foundation for various engineering projects. Traditional methods of soil classification rely heavily on costly and time-consuming laboratory and in-situ tests. In this study, Support Vector Machine (SVM) models were trained for soil classification using 649 Cone Penetration Test (CPT) datasets, specifically utilizing cone tip resistance ([Formula: see text]) and sleeve friction ([Formula: see text]) as input variables.
View Article and Find Full Text PDFWant 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!