Nicole K. Yamada

Failed endotracheal intubation and adverse outcomes among extremely low birth weight infants.

Objective:To quantify the importance of successful endotracheal intubation on the first attempt among extremely low birth weight (ELBW) infants who require resuscitation after delivery.Study Design:A retrospective chart review was conducted for all ELBW infants ⩽1000 g born between January 2007 and May 2014 at a level IV neonatal intensive care unit. Infants were included if intubation was attempted during the first 5 min of life or if intubation was attempted during the first 10 min of life with heart rate <100. The primary outcome was death or neurodevelopmental impairment. The association between successful intubation on the first attempt and the primary outcome was assessed using multivariable logistic regression with adjustment for birth weight, gestational age, gender and antenatal steroids.Results:The study sample included 88 ELBW infants. Forty percent were intubated on the first attempt and 60% required multiple intubation attempts. Death or neurodevelopmental impairment occurred in 29% of infants intubated on the first attempt, compared with 53% of infants that required multiple attempts, adjusted odds ratio 0.4 (95% confidence interval 0.1 to 1.0), P<0.05.Conclusion:Successful intubation on the first attempt is associated with improved neurodevelopmental outcomes among ELBW infants. This study confirms the importance of rapid establishment of a stable airway in ELBW infants requiring resuscitation after birth and has implications for personnel selection and role assignment in the delivery room.

Impact of a novel decision support tool on adherence to Neonatal Resuscitation Program algorithm

AIM Studies have shown that healthcare professionals (HCPs) display a 16-55% error rate in adherence to the Neonatal Resuscitation Program (NRP) algorithm. The aim of this study was to evaluate adherence to the Neonatal Resuscitation Program algorithm by subjects working from memory as compared to subjects using a decision support tool that provides auditory and visual prompts to guide implementation of the Neonatal Resuscitation Program algorithm during simulated neonatal resuscitation. METHODS Healthcare professionals (physicians, nurse practitioners, obstetrical/neonatal nurses) with a current NRP card were randomized to the control or intervention group and performed three simulated neonatal resuscitations. The scenarios were evaluated for the initiation and cessation of positive pressure ventilation (PPV) and chest compressions (CC), as well as the frequency of FiO2 adjustment. The Wilcoxon rank sum test was used to compare a score measuring the adherence of the control and intervention groups to the Neonatal Resuscitation Program algorithm. RESULTS Sixty-five healthcare professionals were recruited and randomized to the control or intervention group. Positive pressure ventilation was performed correctly 55-80% of the time in the control group vs. 94-95% in the intervention group across all three scenarios (p<0.0001). Chest compressions were performed correctly 71-81% of the time in the control group vs. 82-93% in the intervention group in the two scenarios in which they were indicated (p<0.0001). FiO2 was addressed three times more frequently in the intervention group compared to the control group (p<0.001). CONCLUSIONS Healthcare professionals using a decision support tool exhibit significantly fewer deviations from the Neonatal Resuscitation Program algorithm compared to those working from memory alone during simulated neonatal resuscitation.

Analysis and classification of errors made by teams during neonatal resuscitation.

AIM The Neonatal Resuscitation Program (NRP) algorithm serves as a guide to healthcare professionals caring for neonates transitioning to extrauterine life. Despite this, adherence to the algorithm is challenging, and errors are frequent. Information-dense, high-risk fields such as air traffic control have proven that formal classification of errors facilitates recognition and remediation. This study was performed to determine and characterize common deviations from the NRP algorithm during neonatal resuscitation. METHODS Audiovisual recordings of 250 real neonatal resuscitations were obtained between April 2003 and May 2004. Of these, 23 complex resuscitations were analyzed for adherence to the contemporaneous NRP algorithm and scored using a novel classification tool based on the validated NRP Megacode Checklist. RESULTS Seven hundred eighty algorithm-driven tasks were observed. One hundred ninety-four tasks were completed incorrectly, for an average error rate of 23%. Forty-two were errors of omission (28% of all errors) and 107 were errors of commission (72% of all errors). Many errors were repetitive and potentially clinically significant: failure to assess heart rate and/or breath sounds, improper rate of positive pressure ventilation, inadequate peak inspiratory and end expiratory pressures during ventilation, improper chest compression technique, and asynchronous PPV and CC. CONCLUSIONS Errors of commission, especially when performing advanced life support interventions such as positive pressure ventilation, intubation, and chest compressions, are common during neonatal resuscitation and are sources of potential harm. The adoption of error reduction strategies capable of decreasing cognitive and technical load and standardizing communication - strategies common in other industries - should be considered in healthcare.

Impact of Standardized Communication Techniques on Errors during Simulated Neonatal Resuscitation

AIM Current patterns of communication in high-risk clinical situations, such as resuscitation, are imprecise and prone to error. We hypothesized that the use of standardized communication techniques would decrease the errors committed by resuscitation teams during neonatal resuscitation. METHODS In a prospective, single-blinded, matched pairs design with block randomization, 13 subjects performed as a lead resuscitator in two simulated complex neonatal resuscitations. Two nurses assisted each subject during the simulated resuscitation scenarios. In one scenario, the nurses used nonstandard communication; in the other, they used standardized communication techniques. The performance of the subjects was scored to determine errors committed (defined relative to the Neonatal Resuscitation Program algorithm), time to initiation of positive pressure ventilation (PPV), and time to initiation of chest compressions (CC). RESULTS In scenarios in which subjects were exposed to standardized communication techniques, there was a trend toward decreased error rate, time to initiation of PPV, and time to initiation of CC. While not statistically significant, there was a 1.7-second improvement in time to initiation of PPV and a 7.9-second improvement in time to initiation of CC. CONCLUSIONS Should these improvements in human performance be replicated in the care of real newborn infants, they could improve patient outcomes and enhance patient safety.

Simulation-Based Patient-Specific Multidisciplinary Team Training in Preparation for the Resuscitation and Stabilization of Conjoined Twins

&NA; The resuscitation of conjoined twins is a rare and complex clinical challenge. We detail how patient‐specific, in situ simulation can be used to prepare a large, multidisciplinary team of health care professionals (HCPs) to deliver safe, efficient, and effective care to such patients. In this case, in situ simulation allowed an 18‐person team to address the clinical and ergonomic challenges anticipated for this neonatal resuscitation. The HCPs trained together as an intact team in the actual delivery room environment to probe for human and system weaknesses prior to this unique delivery, and optimized communication, teamwork, and other behavioral skills as they prepared for the simultaneous resuscitation of two patients who were physically joined to one another.

Modification of the Neonatal Resuscitation Program Algorithm for Resuscitation of Conjoined Twins

There are no national or international guidelines for the resuscitation of conjoined twins. We have described how the U.S. Neonatal Resuscitation Program algorithm can be modified for delivery room resuscitation of omphaloischiopagus conjoined twins. In planning for the delivery and resuscitation of these patients, we considered the challenges of providing cardiopulmonary support to preterm conjoined twins in face-to-face orientation and with shared circulation via a fused liver and single umbilical cord. We also demonstrate how in situ simulation can be used to prepare a large, multidisciplinary team of health care professionals to deliver safe, efficient, and effective care to such patients.

Communication during resuscitation: Time for a change?

RN1: It [heart rate] is slow. Keep stimulating. RN1: [to baby] What’s going on? Huh? MD: I think we need to intubate. RN1: Yeah, go ahead. Why don’t you get that bag while I get the [intubation] tray? MD: [to others in room] Can you call for an extra hand from the NICU please? MD: I can’t get it, can you do it? RN1: Yeah, ok. MD: Did you guys hear me? Can you guys call the NICU? Because we need an extra hand. RN2: Call the team? What do you want? Who do you want? WHO DO YOU WANT? RN1: WHO DO YOU WANT? MD: Um, anybody. Uh. One of the doctors. Get one of the doctors.

The Neonatal Resuscitation Program: Current Recommendations and a Look at the Future

The Neonatal Resuscitation Program (NRP) consists of an algorithm and curriculum to train healthcare professionals to facilitate newborn infants’ transition to extrauterine life and to provide a standardized approach to the care of infants who require more invasive support and resuscitation. This review discusses the most recent update of the NRP algorithm and recommended guidelines for the care of newly born infants. Current challenges in training and assessment as well as the importance of ergonomics in the optimization of human performance are discussed. Finally, it is recommended that in order to ensure high-performing resuscitation teams, members should be selected and retained based on objective performance criteria and frequent participation in realistic simulated clinical scenarios.

Optimal human and system performance during neonatal resuscitation

Performance in the delivery of care to sick neonates in need of resuscitation has long been defined primarily in terms of the extent of the knowledge possessed and hands-on skill demonstrated by physicians and other healthcare professionals. This definition of performance in neonatal resuscitation is limited by its focus solely on the human beings delivering care and a perceived set of the requisite skills to do so. This manuscript will expand the definition of performance to include all of the skill sets that humans must use to resuscitate newborns as well as the often complex systems in which those humans operate while delivering that care. It will also highlight how the principles of human factors and ergonomics can be used to enhance human and system performance during patient care. Finally, it will describe the role of simulation and debriefing in the assessment of human and system performance.

Perspectives on periviability counselling and decision-making differed between neonatologists in the United States and the Netherlands

American guidelines suggest that neonatal resuscitation be considered at 23 weeks of gestation, one week earlier than in the Netherlands, but how counselling practices differ at the threshold of viability is unknown. This pilot study compared prenatal periviability counselling in the two countries.