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Featured researches published by Taylor Sawyer.


Simulation in healthcare : journal of the Society for Simulation in Healthcare | 2012

The effectiveness of video-assisted debriefing versus oral debriefing alone at improving neonatal resuscitation performance: a randomized trial.

Taylor Sawyer; Agnes Sierocka-Castaneda; Debora Chan; Benjamin W. Berg; Mike Lustik; Mark Thompson

Introduction Debriefing is a critical component of effective simulation-based medical education. The optimal format in which to conduct debriefing is unknown. The use of video review has been promoted as a means of enhancing debriefing, and video-assisted debriefing is widely used in simulation training. Few empirical studies have evaluated the impact of video-assisted debriefing, and the results of those studies have been mixed. The objective of this study was to compare the effectiveness of video-assisted debriefing to oral debriefing alone at improving performance in neonatal resuscitation. Methods Thirty residents, divided into 15 teams of 2 members each, participated in the study. Each team completed a series of 3 neonatal resuscitation simulations. Each simulation was followed by a facilitated debriefing. Teams were randomly assigned to receive either oral debriefing alone or video-assisted debriefing after each simulation. Objective measures of performance and times to complete critical tasks in resuscitation were evaluated by blinded video review on the first (pretest) and the third (posttest) simulations using a previously validated tool. Results Overall neonatal resuscitation performance scores improved in both groups [mean (SD), 83% (14%) for oral pretest vs. 91% (7%) for oral posttest (P = 0.005); 81% (16%) for video pretest vs. 93% (10%) for video posttest (P < 0.001)]. There was no difference in performance scores between the 2 groups on either the pretest or posttest [overall posttest scores, 91.3% for oral vs. 93.4% for video (P = 0.59)]. Times to complete the critical tasks of resuscitation also did not differ significantly between the 2 study groups. The educational effect of the video-assisted debriefing versus oral debriefing alone was small (d = 0.08). Conclusions Using this study design, we failed to show a significant educational benefit of video-assisted debriefing. Although our results suggest that the use of video-assisted debriefing may not offer significant advantage over oral debriefing alone, exactly why this is the case remains obscure. Further research is needed to define the optimal role of video review during simulation debriefing in neonatal resuscitation.


Neonatal network : NN | 2013

Improvements in teamwork during neonatal resuscitation after interprofessional TeamSTEPPS training.

Taylor Sawyer; Vickie Laubach; Joseph Hudak; Kelli Yamamura; Amber Pocrnich

Purpose: To determine the impact of interprofessional Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS) training on teamwork skills during neonatal resuscitation Design: Teams of physicians, nurses, and respiratory therapists participated in TeamSTEPPS training that included simulation with an event-based approach. During the simulations, scripted medication order and performance errors were used to test teamwork skills. Measures of teamwork skills were obtained before and after the training using a prospective pretest–posttest design. Sample: Forty-two physicians, nurses, and respiratory therapists Main Outcome Variable: Teamwork skills Result: Significant improvements in teamwork skills were seen in team structure, leadership, situation monitoring, mutual support, and communication (p <.001). Challenges by nurses to a scripted medication order error doubled from 38 percent before the training to 77 percent after the training. The odds of a nurse challenging an incorrect medication dose from an attending neonatologist improved significantly. Detection and correction of inadequate chest compressions increased from 61.5 to 84.6 percent after the training.


American Journal of Ophthalmology | 2008

Ophthalmological Aspects of Pierson Syndrome

Cecilie Bredrup; Verena Matejas; Margaret Barrow; Květa Bláhová; Detlef Bockenhauer; Darren Fowler; Richard M. Gregson; Iwona Maruniak-Chudek; Ana Medeira; Erica Laima Mendonça; Mikhail Kagan; Jens Koenig; Hermann Krastel; Hester Y. Kroes; Anand Saggar; Taylor Sawyer; Michael Schittkowski; Janusz Świetliński; Dorothy A. Thompson; Rene G. VanDeVoorde; Dienke Wittebol-Post; Geoffrey Woodruff; Aleksandra Zurowska; Raoul C. M. Hennekam; Martin Zenker; Isabelle Russell-Eggitt

PURPOSE To study the ocular phenotype of Pierson syndrome and to increase awareness among ophthalmologists of the diagnostic features of this condition. DESIGN Retrospective, observational case series. METHODS A multicenter study of 17 patients with molecularly confirmed Pierson syndrome. The eye findings were reviewed and compared to pertinent findings from the literature. RESULTS The most characteristic ocular anomaly was microcoria. A wide range of additional abnormalities were found, including posterior embryotoxon, megalocornea, iris hypoplasia, cataract, abnormal lens shape, posterior lenticonus, persistent fetal vasculature, retinal detachment, variable axial lengths, and glaucoma. There was high interocular and intrafamilial variability. CONCLUSIONS Loss-of-function mutations in laminin beta2 (LAMB2) cause a broad range of ocular pathology, emphasizing the importance of laminin beta2 in eye development. Patients with Pierson syndrome can initially present with ocular signs alone. In newborns with marked bilateral microcoria, Pierson syndrome should be considered and renal function investigated.


Academic Medicine | 2015

Learn, see, practice, prove, do, maintain: an evidence-based pedagogical framework for procedural skill training in medicine.

Taylor Sawyer; Marjorie Lee White; Pavan Zaveri; Todd P. Chang; Anne Ades; Heather French; JoDee M. Anderson; Marc Auerbach; Lindsay Johnston; David Kessler

Acquisition of competency in procedural skills is a fundamental goal of medical training. In this Perspective, the authors propose an evidence-based pedagogical framework for procedural skill training. The framework was developed based on a review of the literature using a critical synthesis approach and builds on earlier models of procedural skill training in medicine. The authors begin by describing the fundamentals of procedural skill development. Then, a six-step pedagogical framework for procedural skills training is presented: Learn, See, Practice, Prove, Do, and Maintain. In this framework, procedural skill training begins with the learner acquiring requisite cognitive knowledge through didactic education (Learn) and observation of the procedure (See). The learner then progresses to the stage of psychomotor skill acquisition and is allowed to deliberately practice the procedure on a simulator (Practice). Simulation-based mastery learning is employed to allow the trainee to prove competency prior to performing the procedure on a patient (Prove). Once competency is demonstrated on a simulator, the trainee is allowed to perform the procedure on patients with direct supervision, until he or she can be entrusted to perform the procedure independently (Do). Maintenance of the skill is ensured through continued clinical practice, supplemented by simulation-based training as needed (Maintain). Evidence in support of each component of the framework is presented. Implementation of the proposed framework presents a paradigm shift in procedural skill training. However, the authors believe that adoption of the framework will improve procedural skill training and patient safety.


Simulation in healthcare : journal of the Society for Simulation in Healthcare | 2011

Deliberate practice using simulation improves neonatal resuscitation performance.

Taylor Sawyer; Agnes Sierocka-Castaneda; Debora Chan; Benjamin W. Berg; Mike Lustik; Mark Thompson

Introduction: Simulation will soon become the standard method of training in the Neonatal Resuscitation Program (NRP). Deliberate practice (DP) using simulation has been shown to improve performance in other areas of medicine. The objective of this study was to evaluate the effectiveness of DP using simulation on improving NRP performance. Methods: Using a pretest-posttest design, 15 teams of 2 residents participated in a series of 3 NRP simulations followed by a facilitated debriefing. Objective measures of NRP performance and time to complete critical tasks were evaluated on the first (pretest) and the third (posttest) simulations by blinded video review using a validated scoring instrument. Results: Improvements were seen in scores for overall NRP performance (pretest 82.5% vs. posttest 92.5%, mean difference 10% [95% CI, 1.5–18.5]; P = 0.024) and positive-pressure ventilation (pretest 73.3% vs. posttest 95.0%, mean difference 21.7% [95% CI, 0.8–42.5]; P = 0.043). Time to the vascular access decreased by over 1 minute from baseline (pretest 404 second vs. posttest 343 second, mean difference −60.3 second [95% CI, −119.6 to −0.9]; P = 0.047) as did the time to first IV medication (pretest 452 second vs. posttest 387 second, mean difference −64.9 second [95% CI, −112.4 to −17.5]; P = 0.011). Conclusions: Our results suggest that DP using simulation is associated with improvements in NRP performance and support the use of DP using simulation in NRP training.


Simulation in healthcare : journal of the Society for Simulation in Healthcare | 2016

More Than One Way to Debrief: A Critical Review of Healthcare Simulation Debriefing Methods.

Taylor Sawyer; Walter Eppich; Marisa Brett-Fleegler; Vincent Grant; Adam Cheng

Summary Statement Debriefing is a critical component in the process of learning through healthcare simulation. This critical review examines the timing, facilitation, conversational structures, and process elements used in healthcare simulation debriefing. Debriefing occurs either after (postevent) or during (within-event) the simulation. The debriefing conversation can be guided by either a facilitator (facilitator-guided) or the simulation participants themselves (self-guided). Postevent facilitator-guided debriefing may incorporate several conversational structures. These conversational structures break the debriefing discussion into a series of 3 or more phases to help organize the debriefing and ensure the conversation proceeds in an orderly manner. Debriefing process elements are an array of techniques to optimize reflective experience and maximize the impact of debriefing. These are divided here into the following 3 categories: essential elements, conversational techniques/educational strategies, and debriefing adjuncts. This review provides both novice and advanced simulation educators with an overview of various methods of conducting healthcare simulation debriefing. Future research will investigate which debriefing methods are best for which contexts and for whom, and also explore how lessons from simulation debriefing translate to debriefing in clinical practice.


Simulation in healthcare : journal of the Society for Simulation in Healthcare | 2013

Adaptation of the US Army's After-Action Review for simulation debriefing in healthcare.

Taylor Sawyer; Shad Deering

Summary Statement Postsimulation debriefing is a critical component of effective learning in simulation-based health care education. Numerous formats in which to conduct the debriefing have been proposed. In this report, we describe the adaptation the US Army’s After-Action Review (AAR) debriefing format for postsimulation debriefing in health care. The Army’s AAR format is based on sound educational theory and has been used with great success in the US Army and civilian organizations for decades. Debriefing using the health care simulation AAR process requires planning, preparation, and follow-up. Conducting a postsimulation debriefing using the health care simulation AAR debriefing format includes 7 sequential steps as follows: (1) define the rules of the debriefing, (2) explain the learning objectives of the simulation, (3) benchmark performance, (4) review what was supposed to happen during the simulation, (5) identify what actually happened, (6) examine why events occurred the way they did, and (7) formalize learning by reviewing with the group what went well, what did not go well and what they would do differently if faced with a similar situation in real life. We feel that the use of the health care simulation AAR debriefing format provides a structured and supported method to conduct an effective postsimulation debriefing, with a focus on the learning objectives and reliance on preidentified performance standards.


Academic Pediatrics | 2015

Simulation-Based Medical Education in Pediatrics

Joseph Lopreiato; Taylor Sawyer

The use of simulation-based medical education (SBME) in pediatrics has grown rapidly over the past 2 decades and is expected to continue to grow. Similar to other instructional formats used in medical education, SBME is an instructional methodology that facilitates learning. Successful use of SBME in pediatrics requires attention to basic educational principles, including the incorporation of clear learning objectives. To facilitate learning during simulation the psychological safety of the participants must be ensured, and when done correctly, SBME is a powerful tool to enhance patient safety in pediatrics. Here we provide an overview of SBME in pediatrics and review key topics in the field. We first review the tools of the trade and examine various types of simulators used in pediatric SBME, including human patient simulators, task trainers, standardized patients, and virtual reality simulation. Then we explore several uses of simulation that have been shown to lead to effective learning, including curriculum integration, feedback and debriefing, deliberate practice, mastery learning, and range of difficulty and clinical variation. Examples of how these practices have been successfully used in pediatrics are provided. Finally, we discuss the future of pediatric SBME. As a community, pediatric simulation educators and researchers have been a leading force in the advancement of simulation in medicine. As the use of SBME in pediatrics expands, we hope this perspective will serve as a guide for those interested in improving the state of pediatric SBME.


Pediatric Cardiology | 2009

Neonatal Pulmonary Artery Thrombosis Presenting as Persistent Pulmonary Hypertension of the Newborn

Taylor Sawyer; Amanda Antle; Matthew Studer; Mark Thompson; Stanton B. Perry; C. Becket Mahnke

Pulmonary artery thrombosis in neonates occurs rarely. This report describes the case of a term infant with a pulmonary artery thrombosis presenting as persistent pulmonary hypertension of the newborn. The risk factors identified in the case included maternal diabetes and heterozygous factor V Leiden deficiency. The pulmonary thrombus was successfully treated with percutaneous catheter-based embolectomy.


Journal of Perinatology | 2016

Neonatal airway simulators, how good are they? A comparative study of physical and functional fidelity.

Taylor Sawyer; Thomas P. Strandjord; K Johnson; D Low

Objective:Proficiency in airway management is critical for neonatal health-care professionals. Simulation is a proven method to improve airway management skills. Skills transfer from simulation to the real life requires simulators with appropriate physical and functional fidelity.Study design:A cohort of neonatal health-care professionals evaluated eight different neonatal airway simulators for physical and functional fidelity.Result:Twenty-seven subjects completed 151 simulator evaluations. Significant differences were found between the simulators evaluated (P<0.001). The manikins with the highest fidelity scores were the SimNewB, Newborn Anne and Premature Anne (Laerdal Medical). The task trainers with the highest fidelity scores were the Neonatal Intubation Trainer (Laerdal Medical) and the Newborn Airway Trainer (Syndaver Labs).Conclusion:Simulator fidelity is an important aspect of simulation training, but is rarely evaluated. The results of this study can aid in choosing the best simulators for training and research, and provide feedback to the industry to guide future simulator development.

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Anne Ades

Children's Hospital of Philadelphia

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Megan M. Gray

University of Washington

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Akira Nishisaki

Children's Hospital of Philadelphia

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Heather French

University of Pennsylvania

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Shad Deering

Uniformed Services University of the Health Sciences

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Agnes Sierocka-Castaneda

Walter Reed Army Institute of Research

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Benjamin W. Berg

University of Hawaii at Manoa

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