9 results on '"Duval-Arnould J"'
Search Results
2. Factors Associated With Pediatric Emergency Airway Management by the Difficult Airway Response Team.
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Dalesio NM, Burgunder L, Diaz-Rodriguez NM, Jones SI, Duval-Arnould J, Lester LC, Tunkel DE, and Kudchadkar SR
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Background The goal of this study was to determine if difficult airway risk factors were similar in children cared for by the difficult airway response team (DART) and those cared for by the rapid response team (RRT). Methods In this retrospective database analysis of prospectively collected data, we analyzed patient demographics, comorbidities, history of difficult intubation, and intubation event details, including time and place of the emergency and devices used to successfully secure the airway. Results Within the 110-patient cohort, median age (IQR) was higher among DART patients than among RRT patients [8.5 years (0.9-14.6) versus 0.3 years (0.04-3.6); P < 0.001]. The odds of DART management were higher for children ages 1-2 years (aOR, 43.3; 95% CI: 2.73-684.3) and >5 years (aOR, 13.1; 95% CI: 1.85-93.4) than for those less than one-year-old. DART patients were more likely to have craniofacial abnormalities (aOR, 51.6; 95% CI: 2.50-1065.1), airway swelling (aOR, 240.1; 95% CI: 13.6-4237.2), or trauma (all DART managed). Among patients intubated by the DART, children with a history of difficult airway were more likely to have musculoskeletal (P = 0.04) and craniofacial abnormalities (P < 0.001), whereas children without a known history of difficult airway were more likely to have airway swelling (P = 0.04). Conclusion Specific clinical risk factors predict the need for emergency airway management by the DART in the pediatric hospital setting. The coordinated use of a DART to respond to difficult airway emergencies may limit attempts at endotracheal tube placement and mitigate morbidity., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2021, Dalesio et al.) more...
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- 2021
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3. Cold Debriefings after In-hospital Cardiac Arrest in an International Pediatric Resuscitation Quality Improvement Collaborative.
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Wolfe HA, Wenger J, Sutton R, Seshadri R, Niles DE, Nadkarni V, Duval-Arnould J, Sen AI, and Cheng A
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Introduction: Clinical event debriefing functions to identify optimal and suboptimal performance to improve future performance. "Cold" debriefing (CD), or debriefing performed more than 1 day after an event, was reported to improve patient survival in a single institution. We sought to describe the frequency and content of CD across multiple pediatric centers., Methods: Mixed-methods, a retrospective review of prospectively collected in-hospital cardiac arrest (IHCA) data, and a supplemental survey of 18 international institutions in the Pediatric Resuscitation Quality (pediRES-Q) collaborative. Data from 283 IHCA events reported between February 2016 and April 2018 were analyzed. We used a Plus/Delta framework to collect debriefing content and performed a qualitative analysis utilizing a modified Team Emergency Assessment Measurement Framework. Univariate and regression models were applied, accounting for clustering by site., Results: CD occurred in 33% (93/283) of IHCA events. Median time to debriefing was 26 days [IQR 11, 41] with a median duration of 60 minutes [20, 60]. Attendance was variable across sites (profession, number per debriefing): physicians 12 [IQR 4, 20], nurses 1 [1, 6], respiratory therapists 0 [0, 1], and administrators 1 [0, 1]. "Plus" comments reported per event were most commonly clinical standards 47% (44/93), cooperation 29% (27/93), and communication 17% (16/93). "Delta" comments were in similar categories: clinical standards 44% (41/93), cooperation 26% (24/93), and communication 14% (13/93)., Conclusions: CDs were performed after 33% of cardiac arrests in this multicenter pediatric IHCA collaborative. The majority of plus and delta comments could be categorized as clinical standards, cooperation and communication., (Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc.) more...
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- 2020
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4. Annual Incidence of Adult and Pediatric In-Hospital Cardiac Arrest in the United States
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Holmberg MJ, Ross CE, Fitzmaurice GM, Chan PS, Duval-Arnould J, Grossestreuer AV, Yankama T, Donnino MW, and Andersen LW
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- Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Heart Arrest diagnosis, Humans, Incidence, Infant, Infant, Newborn, Middle Aged, Registries, Time Factors, United States epidemiology, Young Adult, Heart Arrest epidemiology, Inpatients
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Background: Previous incidence estimates may no longer reflect the current public health burden of cardiac arrest in hospitalized adult and pediatric patients across the United States. The aim of this study was to estimate the contemporary annual incidence of in-hospital cardiac arrest in adults and children across the United States and to describe trends in incidence between 2008 and 2017., Methods and Results: Using the Get With The Guidelines– Resuscitation registry, we developed a negative binomial regression model to estimate the incidence of index pulseless in-hospital cardiac arrest based on hospital-level characteristics. The model was used to predict the number of in-hospital cardiac arrests in all US hospitals, using data from the American Hospital Association Annual Survey. We performed separate analyses for adult (≥18 years) and pediatric (<18 years) cardiac arrests. Additional analyses were performed for recurrent cardiac arrests and pediatric patients requiring cardiopulmonary resuscitation for poor perfusion (nonpulseless events). The average annual incidence of in-hospital cardiac arrest in the United States was estimated at 292 000 (95% prediction interval, 217 600–503 500) adult and 15 200 pediatric cases, of which 7100 (95% prediction interval, 4400–9900) cases were pulseless cardiac arrests and 8100 (95% prediction interval, 4700–11 500) cases were nonpulseless events. The rate of adult cardiac arrests increased over time, while pediatric events remained more stable. When including both index and recurrent inhospital cardiac arrests, the average annual incidence was estimated at 357 900 (95% prediction interval, 247 100–598 400) adult and 19 900 pediatric cases, of which 8300 (95% prediction interval, 4900–11 200) cases were pulseless cardiac arrests and 11 600 (95% prediction interval, 6400–16 700) cases were nonpulseless events., Conclusions: There are ≈292 000 adult in-hospital cardiac arrests and 15 200 pediatric in-hospital events in the United States each year. This study provides contemporary estimates of the public health burden of cardiac arrest among hospitalized patients., Competing Interests: None., (© 2019 American Heart Association, Inc.) more...
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- 2019
5. Pediatric Respiratory Therapists Lack a Standard Mental Model for Managing the Patient Who Is Difficult to Ventilate: A Video Review.
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Perretta JS, Salamone C, King D, Mann S, Duval-Arnould J, and Hunt EA
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- Adult, Allied Health Personnel education, Allied Health Personnel standards, Clinical Decision-Making methods, Educational Measurement, Female, Humans, Infant, Male, Masks, Middle Aged, Pediatrics methods, Pediatrics standards, Respiratory Insufficiency therapy, Simulation Training methods, Simulation Training statistics & numerical data, United States, Video Recording methods, Airway Management adverse effects, Airway Management instrumentation, Airway Management methods, Clinical Competence standards, Respiration, Artificial adverse effects, Respiration, Artificial instrumentation, Respiration, Artificial methods
- Abstract
Background: All health-care providers who care for infants and children should be able to effectively provide ventilation with a bag and a mask. Respiratory therapists (RTs'), as part of rapid response teams, need to quickly identify the need for airway support and use adjunct airway interventions when subjects are difficult to mask ventilate. Before implementation of an educational curriculum for airway management, we assessed whether pediatric RTs' who enter the room of a simulated infant mannequin in severe respiratory distress are able to apply bag-mask ventilation within 60 s and implement 2 adjunct airway maneuvers in a patient who is difficult to ventilate., Methods: All pediatric RTs' were required to attend one high-fidelity simulation at the Johns Hopkins Medicine Simulation Center. The sessions were reviewed to evaluate whether the therapists would implement adjunct maneuvers to a patient who was in respiratory distress and was difficult to ventilate., Results: Twenty-eight therapists participated in the baseline skills assessment session, and 26 (72% of eligible therapists) were evaluable with video clips. Only 3 of 26 (12%) attempted bag-mask ventilation within 60 s. Although all the therapists attempted one airway maneuver, only 65% were able to implement ≥2 airway maneuvers and achieve effective ventilation, with a wide range of time (98-298 s). There was no pattern regarding which intervention was implemented first, second, and so forth., Conclusions: Our team of pediatric RTs' did not share a standard mental model for initiating bag-mask ventilation during impending respiratory failure or implementing airway adjuncts. This may place children who are critically ill at risk of suboptimal management and threaten clinical outcomes. Therapist performance indicated that no established care algorithm had been effectively implemented or that skill retention was poor. A change in the content and delivery method of bag-mask ventilation training is warranted to improve the time to performance of key interventions and to establish a clear cognitive framework of difficult mask ventilation management., (Copyright © 2019 by Daedalus Enterprises.) more...
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- 2019
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6. Improved Cardiopulmonary Resuscitation Performance With CODE ACES 2 : A Resuscitation Quality Bundle.
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Hunt EA, Jeffers J, McNamara L, Newton H, Ford K, Bernier M, Tucker EW, Jones K, O'Brien C, Dodge P, Vanderwagen S, Salamone C, Pegram T, Rosen M, Griffis HM, and Duval-Arnould J
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- Adolescent, Age Factors, Child, Child, Preschool, Female, Guideline Adherence standards, Heart Arrest diagnosis, Heart Arrest mortality, Heart Arrest physiopathology, Hospital Mortality, Humans, Infant, Infant, Newborn, Inpatients, Male, Practice Guidelines as Topic standards, Program Evaluation, Prospective Studies, Quality Improvement standards, Quality Indicators, Health Care standards, Recovery of Function, Risk Factors, Time Factors, Treatment Outcome, Workflow, Young Adult, Cardiopulmonary Resuscitation standards, Heart Arrest therapy, Patient Care Bundles standards
- Abstract
Background Over 6000 children have an in-hospital cardiac arrest in the United States annually. Most will not survive to discharge, with significant variability in survival across hospitals suggesting improvement in resuscitation performance can save lives. Methods and Results A prospective observational study of quality of chest compressions ( CC ) during pediatric in-hospital cardiac arrest associated with development and implementation of a resuscitation quality bundle. Objectives were to: 1) implement a debriefing program, 2) identify impediments to delivering high quality CC , 3) develop a resuscitation quality bundle, and 4) measure the impact of the resuscitation quality bundle on compliance with American Heart Association ( AHA ) Pediatric Advanced Life Support CC guidelines over time. Logistic regression was used to assess the relationship between compliance and year of event, adjusting for age and weight. Over 3 years, 317 consecutive cardiac arrests were debriefed, 38% (119/317) had CC data captured via defibrillator-based accelerometer pads, data capture increasing over time: (2013:13% [12/92] versus 2014:43% [44/102] versus 2015:51% [63/123], P<0.001). There were 2135 1-minute cardiopulmonary resuscitation (CPR) epoch data available for analysis, (2013:152 versus 2014:922 versus 2015:1061, P<0.001). Performance mitigating themes were identified and evolved into the resuscitation quality bundle entitled CPR Coaching, Objective-Data Evaluation, Action-linked-phrases, Choreography, Ergonomics, Structured debriefing and Simulation (CODE ACES
2 ). The adjusted marginal probability of a CC epoch meeting the criteria for excellent CPR (compliant for rate, depth, and chest compression fraction) in 2015, after CPR Coaching, Objective-Data Evaluation, Action-linked-phrases, Choreography, Ergonomics, Structured debriefing and Simulation was developed and implemented, was 44.3% (35.3-53.3) versus 19.9%(6.9-32.9) in 2013; (odds ratio 3.2 [95% confidence interval:1.3-8.1], P=0.01). Conclusions CODE ACES2 was associated with progressively increased compliance with AHA CPR guidelines during in-hospital cardiac arrest. more...- Published
- 2018
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7. Conducting multicenter research in healthcare simulation: Lessons learned from the INSPIRE network.
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Cheng A, Kessler D, Mackinnon R, Chang TP, Nadkarni VM, Hunt EA, Duval-Arnould J, Lin Y, Pusic M, and Auerbach M
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Simulation-based research has grown substantially over the past two decades; however, relatively few published simulation studies are multicenter in nature. Multicenter research confers many distinct advantages over single-center studies, including larger sample sizes for more generalizable findings, sharing resources amongst collaborative sites, and promoting networking. Well-executed multicenter studies are more likely to improve provider performance and/or have a positive impact on patient outcomes. In this manuscript, we offer a step-by-step guide to conducting multicenter, simulation-based research based upon our collective experience with the International Network for Simulation-based Pediatric Innovation, Research and Education (INSPIRE). Like multicenter clinical research, simulation-based multicenter research can be divided into four distinct phases. Each phase has specific differences when applied to simulation research: (1) Planning phase , to define the research question, systematically review the literature, identify outcome measures, and conduct pilot studies to ensure feasibility and estimate power; (2) Project Development phase , when the primary investigator identifies collaborators, develops the protocol and research operations manual, prepares grant applications, obtains ethical approval and executes subsite contracts, registers the study in a clinical trial registry, forms a manuscript oversight committee, and conducts feasibility testing and data validation at each site; (3) Study Execution phase , involving recruitment and enrollment of subjects, clear communication and decision-making, quality assurance measures and data abstraction, validation, and analysis; and (4) Dissemination phase , where the research team shares results via conference presentations, publications, traditional media, social media, and implements strategies for translating results to practice. With this manuscript, we provide a guide to conducting quantitative multicenter research with a focus on simulation-specific issues. more...
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- 2017
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8. Reporting guidelines for health care simulation research: extensions to the CONSORT and STROBE statements.
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Cheng A, Kessler D, Mackinnon R, Chang TP, Nadkarni VM, Hunt EA, Duval-Arnould J, Lin Y, Cook DA, Pusic M, Hui J, Moher D, Egger M, and Auerbach M
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Background: Simulation-based research (SBR) is rapidly expanding but the quality of reporting needs improvement. For a reader to critically assess a study, the elements of the study need to be clearly reported. Our objective was to develop reporting guidelines for SBR by creating extensions to the Consolidated Standards of Reporting Trials (CONSORT) and Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statements., Methods: An iterative multistep consensus-building process was used on the basis of the recommended steps for developing reporting guidelines. The consensus process involved the following: (1) developing a steering committee, (2) defining the scope of the reporting guidelines, (3) identifying a consensus panel, (4) generating a list of items for discussion via online premeeting survey, (5) conducting a consensus meeting, and (6) drafting reporting guidelines with an explanation and elaboration document., Results: The following 11 extensions were recommended for CONSORT: item 1 (title/abstract), item 2 (background), item 5 (interventions), item 6 (outcomes), item 11 (blinding), item 12 (statistical methods), item 15 (baseline data), item 17 (outcomes/ estimation), item 20 (limitations), item 21 (generalizability), and item 25 (funding). The following 10 extensions were recommended for STROBE: item 1 (title/abstract), item 2 (background/rationale), item 7 (variables), item 8 (data sources/measurement), item 12 (statistical methods), item 14 (descriptive data), item 16 (main results), item 19 (limitations), item 21 (generalizability), and item 22 (funding). An elaboration document was created to provide examples and explanation for each extension., Conclusions: We have developed extensions for the CONSORT and STROBE Statements that can help improve the quality of reporting for SBR ( Sim Healthcare 00:00-00, 2016). more...
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- 2016
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9. Building consensus for the future of paediatric simulation: a novel 'KJ Reverse-Merlin' methodology.
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Hunt EA, Duval-Arnould J, Chime NO, Auerbach M, Kessler D, Duff JP, Shilkofski N, Brett-Fleegler M, Nadkarni V, and Cheng A
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Objectives: This project aims to identify guiding strategic principles to optimise simulation-based educational impact on learning, patient safety and child health., Methods: Study participants included 39 simulation experts who used a novel 'KJ Reverse-Merlin' consensus process in the systematic identification of barriers to success in simulation, grouped them in themes and subsequently identified solutions for each theme., Results: 193 unique factors were identified and clustered into 6 affinity groups. 6 key consensus strategies were identified: (1) allocate limited resources by engaging health systems partners to define education and research priorities; (2) conduct and publish rigorous translational and cost-effectiveness research; (3) foster collaborative multidisciplinary research and education networks; (4) design simulation solutions with systems integration and sustainability in mind; (5) leverage partnerships with industry for simulation, medical and educational technology; (6) advocate to engage the education community, research funding agencies and regulatory bodies., Conclusions: Simulation can be used as a research, quality improvement and or educational tool aimed at improving the quality of care provided to children. However, without organisation, strategy, prioritisation and collaboration, the simulation community runs the risk of wasting resources, duplicating and misdirecting the efforts., Competing Interests: Competing interests: None declared., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.) more...
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- 2016
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