Janene Fuerch, MD

Abstract

BACKGROUND: Debriefing is crucial for enhancing learning following healthcare simulation. Various validated tools have been shown to have contextual value for assessing debriefers. The Debriefing Assessment in Real Time (DART) tool may offer an alternative or additional assessment of conversational dynamics during debriefings.METHODS: This is a multi-method international study investigating reliability and validity. Enrolled raters (n = 12) were active simulation educators. Following tool training, the raters were asked to score a mixed sample of debriefings. Descriptive statistics are recorded, with coefficient of variation (CV%) and Cronbach's alpha used to estimate reliability. Raters returned a detailed reflective survey following their contribution. Kane's framework was used to construct validity arguments.RESULTS: The 8 debriefings (mu = 15.4 min (SD 2.7)) included 45 interdisciplinary learners at various levels of training. Reliability (mean CV%) for key components was as follows: instructor questions mu = 14.7%, instructor statements mu = 34.1%, and trainee responses mu = 29.0%. Cronbach alpha ranged from 0.852 to 0.978 across the debriefings. Post-experience responses suggested that DARTs can highlight suboptimal practices including unqualified lecturing by debriefers.CONCLUSION: The DART demonstrated acceptable reliability and may have a limited role in assessment of healthcare simulation debriefing. Inherent complexity and emergent properties of debriefing practice should be accounted for when using this tool.

View details for DOI 10.1186/s41077-023-00248-1

View details for PubMedID 36918946

Abstract

Although prematurity is the single largest cause of death in children under 5 years of age, the current definition of prematurity, based on gestational age, lacks the precision needed for guiding care decisions. Here, we propose a longitudinal risk assessment for adverse neonatal outcomes in newborns based on a deep learning model that uses electronic health records (EHRs) to predict a wide range of outcomes over a period starting shortly before conception and ending months after birth. By linking the EHRs of the Lucile Packard Children's Hospital and the Stanford Healthcare Adult Hospital, we developed a cohort of 22,104 mother-newborn dyads delivered between 2014 and 2018. Maternal and newborn EHRs were extracted and used to train a multi-input multitask deep learning model, featuring a long short-term memory neural network, to predict 24 different neonatal outcomes. An additional cohort of 10,250 mother-newborn dyads delivered at the same Stanford Hospitals from 2019 to September 2020 was used to validate the model. Areas under the receiver operating characteristic curve at delivery exceeded 0.9 for 10 of the 24 neonatal outcomes considered and were between 0.8 and 0.9 for 7 additional outcomes. Moreover, comprehensive association analysis identified multiple known associations between various maternal and neonatal features and specific neonatal outcomes. This study used linked EHRs from more than 30,000 mother-newborn dyads and would serve as a resource for the investigation and prediction of neonatal outcomes. An interactive website is available for independent investigators to leverage this unique dataset: https://maternal-child-health-associations.shinyapps.io/shiny_app/.

View details for DOI 10.1126/scitranslmed.adc9854

View details for PubMedID 36791208

View details for DOI 10.1542/neo.24-1-e36

View details for PubMedID 36587004

Abstract

This is the sixth annual summary of the International Liaison Committee on Resuscitation International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations. This summary addresses the most recently published resuscitation evidence reviewed by International Liaison Committee on Resuscitation Task Force science experts. Topics covered by systematic reviews include cardiopulmonary resuscitation during transport; approach to resuscitation after drowning; passive ventilation; minimizing pauses during cardiopulmonary resuscitation; temperature management after cardiac arrest; use of diagnostic point-of-care ultrasound during cardiac arrest; use of vasopressin and corticosteroids during cardiac arrest; coronary angiography after cardiac arrest; public-access defibrillation devices for children; pediatric early warning systems; maintaining normal temperature immediately after birth; suctioning of amniotic fluid at birth; tactile stimulation for resuscitation immediately after birth; use of continuous positive airway pressure for respiratory distress at term birth; respiratory and heart rate monitoring in the delivery room; supraglottic airway use in neonates; prearrest prediction of in-hospital cardiac arrest mortality; basic life support training for likely rescuers of high-risk populations; effect of resuscitation team training; blended learning for life support training; training and recertification for resuscitation instructors; and recovery position for maintenance of breathing and prevention of cardiac arrest. Members from 6 task forces have assessed, discussed, and debated the quality of the evidence using Grading of Recommendations Assessment, Development, and Evaluation criteria and generated consensus treatment recommendations. Insights into the deliberations of the task forces are provided in the Justification and Evidence-to-Decision Framework Highlights sections, and priority knowledge gaps for future research are listed.

View details for DOI 10.1161/CIR.0000000000001095

View details for Web of Science ID 000928164500001

View details for PubMedID 36325905

Abstract

BACKGROUND: Various rating tools aim to assess simulation debriefing quality, but their use may be limited by complexity and subjectivity. The Debriefing Assessment in Real Time (DART) tool represents an alternative debriefing aid that uses quantitative measures to estimate quality and requires minimal training to use. The DART isuses a cumulative tally of instructor questions (IQ), instructor statements (IS) and trainee responses (TR). Ratios for IQ:IS and TR:[IQ+IS] may estimate the level of debriefer inclusivity and participant engagement.METHODS: Experienced faculty from four geographically disparate university-affiliated simulation centers rated video-based debriefings and a transcript using the DART. The primary endpoint was an assessment of the estimated reliability of the tool. The small sample size confined analysis to descriptive statistics and coefficient of variations (CV%) as an estimate of reliability.RESULTS: Ratings for Video A (n=7), Video B (n=6), and Transcript A (n=6) demonstrated mean CV% for IQ (27.8%), IS (39.5%), TR (34.8%), IQ:IS (40.8%), and TR:[IQ+IS] (28.0%). Higher CV% observed in IS and TR may be attributable to rater characterizations of longer contributions as either lumped or split. Lower variances in IQ and TR:[IQ+IS] suggest overall consistency regardless of scores being lumped or split.CONCLUSION: The DART tool appears to be reliable for the recording of data which may be useful for informing feedback to debriefers. Future studies should assess reliability in a wider pool of debriefings and examine potential uses in faculty development.

View details for DOI 10.1186/s12909-022-03697-w

View details for PubMedID 35989331

Abstract

Background. The Stanford Biodesign Faculty Fellows program was established in 2014 to train Stanford Medical and Engineering faculty in a repeatable innovation process for health technology translation while also being compatible with the busy clinical schedules of surgical faculty members. Methods. Since 2014, 62 faculty members have completed the fellowship with 42% (n = 26) coming from 14 surgical subspecialties. This eight-month, needs-based innovation program covers topics from identifying unmet health-related needs, to inventing new technology, developing plans for intellectual property (IP), regulatory, reimbursement, and business models to advance the technologies toward patient care. Results/Conclusion. Intake and exit survey results from threeyears of program participants (n = 36) indicate that the fellowship is a valuable hands-on educational program capable of improving awareness and experience with skill sets required for health technology innovation and entrepreneurship.

View details for DOI 10.1177/1553350620984338

View details for Web of Science ID 000621156000001

View details for PubMedID 33599567

Abstract

Newborn resuscitation requires a multidisciplinary team effort to deliver safe, effective and efficient care. California Perinatal Quality Care Collaborative's Simulating Success program was designed to help hospitals implement on-site simulation-based neonatal resuscitation training programs. Partnering with the Center for Advanced Pediatric and Perinatal Education at Stanford, Simulating Success engaged hospitals over a 15 month period, including three months of preparatory training and 12 months of implementation. The experience of the first cohort (Children's Hospital of Orange County (CHOC), Sharp Mary Birch Hospital for Women and Newborns (SMB) and Valley Children's Hospital (VCH)), with their site-specific needs and aims, showed that a multidisciplinary approach with a sound understanding of simulation methodology can lead to a dynamic simulation program. All sites increased staff participation. CHOC reduced latent safety threats measured during team exercises from 4.5 to two per simulation while improving debriefing skills. SMB achieved 100% staff participation by identifying unit-specific hurdles within in situ simulation. VCH improved staff confidence level in responding to neonatal codes and proved feasibility of expanding simulation across their hospital system. A multidisciplinary approach to quality improvement in neonatal resuscitation fosters engagement, enables focus on patient safety rather than individual performance, and leads to identification of system issues.

View details for DOI 10.3390/children8010039

View details for PubMedID 33445638

Abstract

The combination of computing power, connectivity, and big data has been touted as the future of innovation in many fields, including medicine. There has been a groundswell of companies developing tools for improving patient care utilizing healthcare data, but procedural specialties, like surgery, have lagged behind in benefitting from data-based innovations, given the lack of data that is well structured. While many companies are attempting to innovate in the surgical field, some have encountered difficulties around collecting surgical data, given its complex nature. As there is no standardized way in which to interact with healthcare systems to purchase these data, the authors attempt to characterize the various ways in which surgical data are collected and shared. By surveying and conducting interviews with various surgical technology companies, at least 3 different methods to collect surgical data were identified. From this information, the authors conclude that an attempt to outline best practices should be undertaken that benefits all stakeholders.

View details for DOI 10.1177/15533506211003538

View details for PubMedID 33830831

Abstract

Extensive neonatal resuscitation is a high acuity, low-frequency event accounting for approximately 1% of births. Neonatal resuscitation requires an interprofessional healthcare team to communicate and carry out tasks efficiently and effectively in a high adrenaline state. Implementing a neonatal patient safety simulation and debriefing program can help teams improve the behavioral, cognitive, and technical skills necessary to reduce morbidity and mortality. In Simulating Success, a 15-month quality improvement (QI) project, the Center for Advanced Pediatric and Perinatal Education (CAPE) and California Perinatal Quality Care Collaborative (CPQCC) provided outreach and training on neonatal simulation and debriefing fundamentals to individual teams, including community hospital settings, and assisted in implementing a sustainable program at each site. The primary Aim was to conduct two simulations a month, with a goal of 80% neonatal intensive care unit (NICU) staff participation in two simulations during the implementation phase. While the primary Aim was not achieved, in-situ simulations led to the identification of latent safety threats and improvement in system processes. This paper describes one unit's QI collaborative experience implementing an in-situ neonatal simulation and debriefing program.

View details for DOI 10.3390/children7110202

View details for PubMedID 33137897

Abstract

OBJECTIVE: Umbilical central lines deliver life-saving medications and nutrition for neonates; however, complications associated with umbilical catheters (UCs) occur more frequently than in adults with central lines (i.e., line migration, systemic infection). We have developed a device for neonatal UC protection and stabilization to reduce catheter exposure to bacteria compared with the standard of care: "goal post" tape configuration. This study analyzes the effect of device venting and material on bacterial load of human umbilical cords in vitro.STUDY DESIGN: Catheters were inserted into human umbilical cord segments in vitro, secured with plastic or silicone vented prototype versus tape, and levels of bacterial colonization were compared between groups after 7 days of incubation.RESULTS: Nonvented plastic prototype showed increased bacterial load compared with goal post (p=0.04). Colonization was comparable between the goal post and all vented plastic prototypes (p0.30) and when compared with the vented silicone device (p=1).CONCLUSION: A novel silicone device does not increase external bacterial colonization compared with the current standard of care for line securement, and may provide a safe, convenient alternative to standard adhesive tape for UC stabilization. Future studies are anticipated to establish safety in vivo, alongside benefits such as migration and infection reduction.

View details for DOI 10.1055/s-0039-1700542

View details for PubMedID 31739365

Abstract

Neonatal resuscitation demands that healthcare professionals perform cognitive and technical tasks while working under time pressure as a team in order to provide efficient and effective care. Neonatal resuscitation teams simultaneously process and act upon multiple data streams, perform ergonomically challenging technical procedures, and coordinate their actions within a small physical space. An understanding and application of human factors and ergonomics science broadens the areas of need in resuscitation research, and will lead to enhanced technologies, systems, and work environments that support human limitations and maximize human performance during neonatal resuscitation.

View details for DOI 10.3390/children6060074

View details for PubMedID 31163596

Abstract

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.

View details for DOI 10.1055/s-0036-1593808

View details for Web of Science ID 000400074500016

Abstract

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.

View details for PubMedID 27832667

Abstract

AimCurrent 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. MethodsIn 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). ResultsIn 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. ConclusionsShould these improvements in human performance be replicated in the care of real newborn infants, they could improve patient outcomes and enhance patient safety.

View details for DOI 10.1055/s-0035-1565997

View details for PubMedID 26485251

Abstract

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.

View details for DOI 10.1055/s-0035-1563713

View details for PubMedID 26461924

Abstract

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.

View details for DOI 10.1007/s12098-013-1332-0

View details for Web of Science ID 000335739000011

View details for PubMedID 24652267

Abstract

To assess the effects of reducing television viewing and computer use on children's body mass index (BMI) as a risk factor for the development of overweight in young children.Randomized controlled clinical trial.University children's hospital.Seventy children aged 4 to 7 years whose BMI was at or above the 75th BMI percentile for age and sex.Children were randomized to an intervention to reduce their television viewing and computer use by 50% vs a monitoring control group that did not reduce television viewing or computer use.Age- and sex-standardized BMI (zBMI), television viewing, energy intake, and physical activity were monitored every 6 months during 2 years.Children randomized to the intervention group showed greater reductions in targeted sedentary behavior (P < .001), zBMI (P < .05), and energy intake (P < .05) compared with the monitoring control group. Socioeconomic status moderated zBMI change (P = .01), with the experimental intervention working better among families of low socioeconomic status. Changes in targeted sedentary behavior mediated changes in zBMI (P < .05). The change in television viewing was related to the change in energy intake (P < .001) but not to the change in physical activity (P =.37).Reducing television viewing and computer use may have an important role in preventing obesity and in lowering BMI in young children, and these changes may be related more to changes in energy intake than to changes in physical activity.

View details for Web of Science ID 000253672100007

View details for PubMedID 18316661

View details for PubMedCentralID PMC2291289