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BackgroundInexperienced adolescent drivers are particularly susceptible to engaging in distracted driving behaviors (DDBs) such as texting while driving (TWD). Traditional driver education approaches have shown limited success in reducing motor vehicle crashes among young drivers. ObjectiveWe tested an innovative approach to help address the critical issue of DDB among teenagers. We investigated the effectiveness of using a novel virtual reality (VR) game “Distracted Navigator” to educate novice teenage drivers about DDB. MethodsThe game consisted of maneuvering a spaceship around asteroids while engaging in simulated DDB (eg, inputting numbers into a keypad). A physician-facilitated discussion, based on the theory of planned behavior, linked gameplay to real-life driving. Teenagers were recruited for the in-person study and randomly assigned at the block level to intervention (VR gameplay or discussion) and control groups (discussion only), approximating a 2:1 ratio. Unblinded, bivariate statistical analyses (all 2-tailed t tests or chi-square tests) and regression analyses measured programming impact on TWD-related beliefs and intentions. Content analysis of focus group interviews identified thematic feedback on the programming. ResultsOf the 24 participants, 15 (63%) were male; their ages ranged from 14 to 17 (mean 15.8, SD 0.92) years, and all owned cell phones. Compared to the control group (n=7, 29%), the intervention group (n=17, 71%) was more likely to report that the programming had positively changed how they felt about texting and driving (?218=–8.3; P=.02). However, specific TWD attitudes and intentions were not different by treatment status. Irrespective of treatment, pre- and postintervention scores indicated reduced confidence in safely TWD (ie, perceived behavioral control; β=–.78; t46=–2.66; P=.01). Thematic analysis revealed the following: (1) the VR gameplay adeptly portrayed real-world consequences of texting and driving, (2) participants highly valued the interactive nature of the VR game and discussion, (3) both the VR game and facilitated discussion were deemed as integral and complementary components, and (4) feedback for improving the VR game and discussion. ConclusionsOur findings show that the novel use of immersive VR experiences with interactive discussions can raise awareness of DDB consequences and is a promising method to enhance driving safety education. The widespread accessibility of VR technology allows for scalable integration into driver training programs, warranting a larger, prospective, randomized study.

IntroductionThis study explores the dynamic relationship among different academic career stages within engineering education, using academic career self-efficacy (ACSE) – one’s belief in their academic ability, as the unitary construct. The purpose of this study was to examine the relationships between the academic career segments demonstrating self-efficacy at the beginning of career, during academic progression, and post-graduation completion, along with the mediating and moderating effects corresponding to the relationships.MethodsQuantitative survey was conducted on Indian recent engineering graduates. Data was collected from closed-ended questionnaire. Structural equation modeling was employed to analyze the relationships among academic career segments, mediation and the moderating impact of personal traits.ResultsThere were statistical significances among the relationships between academic career segments with each other. Notably, ACSE during academic progression emerged as a crucial mediator between entry-level ACSE and ACSE post-graduation completion. Furthermore, gender, social caste, engineering major, campus placement and engineering grade were identified as significant moderators for these relationships.DiscussionIt sheds light on the significance of ACSE throughout diverse academic career segments enhancing career aspirations, engineering skills, and expressions and reflections that facilitate collaborative co-creation for engineering as a career. It contributes to the positive propagation of engineering education as an excellent and rewarding career choice.

Introduction: In mid-2020, the Emergency Medicine Education and Research by Global Experts (EMERGE) network surveyed the emergency response to the COVID-19 pandemic. We demonstrated that innovative measures were being generated at unprecedented rates. Our aim was to build on these findings to develop the first theoretical model with utility in assessing and developing emergency innovations. Methods: Phase 1 of a two-phase, explanatory sequential mixed methods study was a secondary analysis of the original EMERGE survey. Phase 2 involved follow-up interviews of a purposeful sample of 15 of the original survey respondents, representing 12 countries and all 6 World Health Organization regions. Thematic analysis was performed by three members of the research team. Results: Innovation is a nonlinear process in which ideas are developed, implemented, refined, and spread. Ideas grew from departmental needs or the spread of successful innovations from other sites. Development was highly localized, influenced by institutional and regional factors. Obtaining buy-in from relevant stakeholders and addressing various barriers were essential to implementation. The majority of innovations then underwent a process of evolution before some were spread to other institutions through a largely unidirectional flow of information. Conclusions: This study proposes the first model for emergency innovation processes and highlights multiple areas for improvement. Understanding how to prioritize departmental needs and the barriers may streamline development and implementation. Furthermore, the apparent unidirectional flow of information demonstrated by our participants suggests both an opportunity and a need for improved information systems. We present a framework for further research and an outline for innovation management.

BackgroundEmergency departments (EDs) are complex and fast-paced clinical settings where a diagnosis is made in a time-, information-, and resource-constrained context. Thus, it is predisposed to suboptimal diagnostic outcomes, leading to errors and subsequent patient harm. Arriving at a timely and accurate diagnosis is an activity that occurs after an effective collaboration between the patient or caregiver and the clinical team within the ED. Interventions such as novel sociotechnical solutions are needed to mitigate errors and risks. ObjectiveThis study aims to identify challenges that frontline ED health care providers and patients face in the ED diagnostic process and involve them in co-designing technological interventions to enhance diagnostic excellence. MethodsWe will conduct separate sessions with ED health care providers and patients, respectively, to assess various design ideas and use a participatory design (PD) approach for technological interventions to improve ED diagnostic safety. In the sessions, various intervention ideas will be presented to participants through storyboards. Based on a preliminary interview study with ED patients and health care providers, we created intervention storyboards that illustrate different care contexts in which ED health care providers or patients experience challenges and show how each intervention would address the specific challenge. By facilitating participant group discussion, we will reveal the overlap between the needs of the design research team observed during fieldwork and the needs perceived by target users (ie, participants) in their own experience to gain their perspectives and assessment on each idea. After the group discussions, participants will rank the ideas and co-design to improve our interventions. Data sources will include audio and video recordings, design sketches, and ratings of intervention design ideas from PD sessions. The University of Michigan Institutional Review Board approved this study. This foundational work will help identify the needs and challenges of key stakeholders in the ED diagnostic process and develop initial design ideas, specifically focusing on sociotechnological ideas for patient-, health care provider–, and system-level interventions for improving patient safety in EDs. ResultsThe recruitment of participants for ED health care providers and patients is complete. We are currently preparing for PD sessions. The first results from design sessions with health care providers will be reported in fall 2024. ConclusionsThe study findings will provide unique insights for designing sociotechnological interventions to support ED diagnostic processes. By inviting frontline health care providers and patients into the design process, we anticipate obtaining unique insights into the ED diagnostic process and designing novel sociotechnical interventions to enhance patient safety. Based on this study’s collected data and intervention ideas, we will develop prototypes of multilevel interventions that can be tested and subsequently implemented for patients, health care providers, or hospitals as a system. International Registered Report Identifier (IRRID)DERR1-10.2196/55357

Introduction: Procalcitonin (PCT) is a useful biomarker in the initial evaluation of febrile infants for serious bacterial infections (SBIs). However, PCT is not always available locally and must at times be frozen and shipped to a reference laboratory for research studies. We sought to compare PCT measured locally versus centrally at a reference laboratory during a research study. Materials and methods: This was a secondary analysis of a multicenter study of febrile infants ≤60 days evaluated for SBIs from June 2016 to April 2019. A PCT cutoff value of 0.5 ng/mL was used to stratify infants at low-versus high-risk of SBIs. Statistical analyses consisted of Spearman's correlation, Bland-Altman difference plotting, Passing-Bablok regression, Deming regression, and Fisher's exact testing at the 0.5 ng/mL threshold. Results: 241 febrile infants had PCT levels measured both locally and at the reference laboratory. PCT levels measured locally on 5 different platforms and from the frozen research samples demonstrated strong Spearman's correlation (ρ = 0.83) and had similar mean PCT values with an average relative difference of 0.02%. Eleven infants with SBIs had PCT values

Abstract Multi‐center research networks often supported by centralized data centers are integral in generating high‐quality evidence needed to address the gaps in emergency care. However, there are substantial costs to maintain high‐functioning data centers. A novel distributed or federated data health networks (FDHN) approach has been used recently to overcome the shortcomings of centralized data approaches. A FDHN in emergency care is comprised of a series of decentralized, interconnected emergency departments (EDs) where each site's data is structured according to a common data model that allows data to be queried and/or analyzed without the data leaving the site's institutional firewall. To best leverage FDHNs for emergency care research networks, we propose a stepwise, 2‐level development and deployment process—creating a lower resource requiring Level I FDHN capable of basic analyses, or a more resource‐intense Level II FDHN capable of sophisticated analyses such as distributed machine learning. Importantly, existing electronic health records‐based analytical tools can be leveraged without substantial cost implications for research networks to implement a Level 1 FDHN. Fewer regulatory barriers associated with FDHN have a potential for diverse, non‐network EDs to contribute to research, foster faculty development, and improve patient outcomes in emergency care.

Abstract Background Early screening and accurately identifying Acute Appendicitis (AA) among patients with undifferentiated symptoms associated with appendicitis during their emergency visit will improve patient safety and health care quality. The aim of the study was to compare models that predict AA among patients with undifferentiated symptoms at emergency visits using both structured data and free-text data from a national survey. Methods We performed a secondary data analysis on the 2005-2017 United States National Hospital Ambulatory Medical Care Survey (NHAMCS) data to estimate the association between emergency department (ED) patients with the diagnosis of AA, and the demographic and clinical factors present at ED visits during a patient’s ED stay. We used binary logistic regression (LR) and random forest (RF) models incorporating natural language processing (NLP) to predict AA diagnosis among patients with undifferentiated symptoms. Results Among the 40,441 ED patients with assigned International Classification of Diseases (ICD) codes of AA and appendicitis-related symptoms between 2005 and 2017, 655 adults (2.3%) and 256 children (2.2%) had AA. For the LR model identifying AA diagnosis among adult ED patients, the c-statistic was 0.72 (95% CI: 0.69–0.75) for structured variables only, 0.72 (95% CI: 0.69–0.75) for unstructured variables only, and 0.78 (95% CI: 0.76–0.80) when including both structured and unstructured variables. For the LR model identifying AA diagnosis among pediatric ED patients, the c-statistic was 0.84 (95% CI: 0.79–0.89) for including structured variables only, 0.78 (95% CI: 0.72–0.84) for unstructured variables, and 0.87 (95% CI: 0.83–0.91) when including both structured and unstructured variables. The RF method showed similar c-statistic to the corresponding LR model. Conclusions We developed predictive models that can predict the AA diagnosis for adult and pediatric ED patients, and the predictive accuracy was improved with the inclusion of NLP elements and approaches.

Background Diagnostic errors, reframed as missed opportunities for improving diagnosis (MOIDs), are poorly understood in the paediatric emergency department (ED) setting. We investigated the clinical experience, harm and contributing factors related to MOIDs reported by physicians working in paediatric EDs.Methods We developed a web-based survey in which physicians participating in the international Paediatric Emergency Research Network representing five out of six WHO regions, described examples of MOIDs involving their own or a colleague’s patients. Respondents provided case summaries and answered questions regarding harm and factors contributing to the event.Results Of 1594 physicians surveyed, 412 (25.8%) responded (mean age=43 years (SD=9.2), 42.0% female, mean years in practice=12 (SD=9.0)). Patient presentations involving MOIDs had common undifferentiated symptoms at initial presentation, including abdominal pain (21.1%), fever (17.2%) and vomiting (16.5%). Patients were discharged from the ED with commonly reported diagnoses, including acute gastroenteritis (16.7%), viral syndrome (10.2%) and constipation (7.0%). Most reported MOIDs (65%) were detected on ED return visits (46% within 24 hours and 76% within 72 hours). The most common reported MOID was appendicitis (11.4%), followed by brain tumour (4.4%), meningitis (4.4%) and non-accidental trauma (4.1%). More than half (59.1%) of the reported MOIDs involved the patient/parent–provider encounter (eg, misinterpreted/ignored history or an incomplete/inadequate physical examination). Types of MOIDs and contributing factors did not differ significantly between countries. More than half of patients had either moderate (48.7%) or major (10%) harm due to the MOID.Conclusions An international cohort of paediatric ED physicians reported several MOIDs, often in children who presented to the ED with common undifferentiated symptoms. Many of these were related to patient/parent–provider interaction factors such as suboptimal history and physical examination. Physicians’ personal experiences offer an underexplored source for investigating and mitigating diagnostic errors in the paediatric ED.

Engineering profession for students and diverse students for Engineering Campuses (ECs) is the prestige to have for both. Worldwide higher education has been impacted by COVID-19 pandemic, but particularly pulling padlocked doors of Indian engineering campuses (ECs) down. Students' attitudes regarding choice, liking, and preferences were also affected. Knowing how tough 'college choice' was before the pandemic, one can guess how difficult it will be today. The objective of this study was to explore students' perceptions of choice characteristics related to ECs and diverse students enabling choice decisions under the COVID-19 situation, and to discover any possible relationships among them. Research questions were qualitatively examined with the statistical confirmation of related hypothesizes by utilizing ANOVA and Regression analysis. A self-reported quantitative survey composed of a closed-ended structured questionnaire was administered on the students of first-year engineering who had recently enrolled in ECs of North Maharashtra Region of India, after pandemic hitting India. According to the study, ECs have several characteristics impacting students' selection of ECs under pandemic. The influence of proximity, image and reputation, educational quality, and curriculum delivery was significant in contributing sustainability of ECs. This influence was significant across students' psychological and behavioural biases on likes, choices, and preferences. Furthermore, multiple relationships were noted within the sub-groups of demographic, geographic, socioeconomic, academic performance, and psychological and behavioural traits due to the impact of ECs' characteristics on sustainability. The study has provided a framework for policymakers and administrators to strengthen repositioning towards sustainability while capturing potentially diverse enrolments. Even if we have to coexist with pandemic forever or with more similar pandemics, the findings of this study may undergo a fundamental transformation for ECs (existing and forthcoming). On the other hand, by understanding the importance and relations of choice characteristics may smoothen the complex nature of "college choice" for prospective students.

Abstract Background The COVID‐19 pandemic affected the volume and epidemiology of pediatric emergency department (ED) visits. We aimed to determine the rate of associated complications for 16 high‐risk conditions in a Michigan statewide network of academic and community EDs during the pandemic. Methods We conducted a cross‐sectional study of pediatric ED visits among a network of 5 Michigan health systems during the pre‐pandemic (March 1, 2019–March 10, 2020) and pandemic (March 11, 2020–March 31, 2021) periods. Data were collected from the medical record and included patient demographics, ED visit characteristics, procedure codes, and final International Classification of Diseases, 10th Revision, Clinical Modification diagnosis codes. Selection of codes for 16 high‐risk conditions and diagnostic complications were identified using previously described methods. Characteristics of ED visits were compared before versus during the pandemic using χ2 and Fisher's exact tests. We used multilevel logistic regression to analyze covariates and potential confounders for being diagnosed with a high‐risk condition or a complication of a high‐risk condition. Results A total of 417,038 pediatric ED visits were analyzed. The proportion of patients presenting with 10 of 16 high‐risk conditions (including appendicitis, sepsis, and stroke) was higher in the pandemic period compared with pre‐pandemic (P < 0.01). Despite this, there was no significant increase in the frequency of complications for any of the 16 high‐risk conditions during the pandemic. The adjusted odds of being diagnosed with appendicitis (pre‐pandemic 0.23% vs pandemic 0.52%; odds ratio [OR], 1.19 [95% confidence interval, CI, 1.00–1.41]), diabetic ketoacidosis (pre‐pandemic 0.16% vs pandemic 0.52%; OR, 2.40 [95% CI, 2.07–2.78]), intussusception (pre‐pandemic 0.05% vs pandemic 0.07%; OR, 1.64 [95% CI, 1.22–2.21)], and testicular torsion (pre‐pandemic 0.10% vs pandemic 0.14%; OR, 1.64 [95% CI, 1.18–2.28]) was higher during the pandemic. Conclusions Despite a higher proportion of ED visits attributed to high‐risk conditions, there was no increase in complications, suggesting minimal impact of the pandemic on outcomes of pediatric ED visits.

Introduction: The Emergency Medicine Education and Research by Global Experts (EMERGE) network was formed to generate and translate evidence to improve global emergency care. We share the challenges faced and lessons learned in establishing a global research network. Methods: We describe the challenges encountered when EMERGE proposed the development of a global emergency department (ED) visit registry. The proposed registry was to be a six-month, retrospective, deidentified, minimal dataset of routinely collected variables, such as patient demographics, diagnosis, and disposition. Results: Obtaining reliable, accurate, and pertinent data from participating EDs is challenging in a global context. Barriers experienced ranged from variable taxonomies, need for language translation, varying site processes for curation and transfer of deidentified data, navigating institution- and country-specific data protection regulations, and substantial variation in each participating institution’s research infrastructure including training in research-related activities. We have overcome many of these challenges by creating detailed data-sharing agreements with bilateral regulatory oversight agreements between EMERGE and participating EDs, developing relationships with and training health informaticians at each site to ensure secure transfer of deidentified data, and formalizing an electronic transfer process ensuring data privacy. Conclusion: We believe that networks like EMERGE are integral to providing the necessary platforms for education, training, and research collaborations for emergency care. We identified substantial challenges in data sharing and variation in local sites’ research infrastructure and propose potential approaches to address these challenges.

Gray wolves are capable of adapting to human-dominated landscapes by utilizing domestic prey as a source of food. Livestock depredation by wolves incurs a heavy economic loss to the villagers, resulting in negative attitudes toward the species and leading to increased conservation conflict. We used multi-state occupancy modeling on the interview data to assess the ecological factors governing livestock depredation by wolves. We also assessed the socio-demographic factors that may govern the attitude of villagers toward the wolf using ordinal regression. Over the past year, 64% of respondents reported a loss of livestock, in which goats (63%) comprised the major share, followed by sheep (22%) and cattle calves (15%). Wolves tend to hunt medium-sized domestic prey (sheep and goats) that commonly graze in open agricultural areas. The estimated livestock depredation probability of wolves was 0.84 (SD = ± 0.23). Depredation probability was influenced by habitat use by wolves, the extent of agricultural areas, scrubland area, and settlement size. Respondents with prior experience of livestock loss held more negative attitudes. Shepherds held more negative attitudes than other occupations. Increases in the respondent’s age and education level reflected a positive shift in attitudes toward the wolf. High economic loss caused by livestock depredation by wolves can lead to retaliatory persecution of wolves. Adequate compensation for livestock loss, along with better education and awareness can help lead to coexistence between wolves and humans in multi-use landscape of Kailadevi Wildlife Sanctuary, Rajasthan, India.

The coronavirus disease 2019 crisis has forced the world to integrate telemedicine into health delivery systems in an unprecedented way. To deliver essential care, lawmakers, physicians, patients, payers, and health systems have all adopted telemedicine and redesigned delivery processes with accelerated speed and coordination in a fragmented way without a long-term vision or uniformed standards. There is an opportunity to learn from the experiences gained by this pandemic to help shape a better health-care system that standardizes telemedicine to optimize the overall efficiency of remote health-care delivery. This collaboration focuses on four pillars of telemedicine that will serve as a framework to enable a uniformed, standardized process that allows for remote data capture and quality, aiming to improve ongoing management outside the hospital. In this collaboration, we recommend learning from this experience by proposing a telemedicine framework built on the following four pillars-patient safety and confidentiality; metrics, analytics, and reform; recording of audio-visual data as a health record; and reimbursement and accountability.

Growth plate (physeal) fractures are defined as a disruption in the cartilaginous physis of bone with or without the involvement of epiphysis or metaphysis. These represent around 15-18% of all pediatric fractures. It is important to diagnose physeal injury as early as possible, as misdiagnosis or delay in diagnosis may result in long term complications. Physeal injuries may not be initially obvious in children who present with periarticular trauma, and a high index of suspicion is important for diagnosis. Differential diagnosis for a Salter-Harris fracture includes a ligamentous sprain, acute osteomyelitis, or an extraphyseal fracture such as a Torus fracture. Salter-Harris I & Salter-Harris II growth plate fractures commonly are commonly managed by closed manipulation, reduction & immobilization. These are relatively stable injuries and can be retained by adequate plaster. Salter-Harris III & Salter-Harris IV fractures require anatomical reduction with the maintenance of congruity of joint. Physeal fractures can have many complications such as malunion, bar formation, acceleration of growth of physis, posttraumatic arthritis, ligament laxity and shortening of the bone. The key to well-healing fractures is successful anatomic reduction and patients must have regular follow-up for these injuries.

Abstract Background Acute severe childhood asthma is an infrequent, but potentially life-threatening emergency condition. There is a wide range of different approaches to this condition, with very little supporting evidence, leading to significant variation in practice. To improve knowledge in this area, there must first be consensus on how to conduct clinical trials, so that valid comparisons can be made between future studies. We have formed an international working group comprising paediatricians and emergency physicians from North America, Europe, Asia, the Middle East, Africa, South America, Central America, Australasia and the United Kingdom. Methods/design A 5-stage approach will be used: (1) a comprehensive list of outcomes relevant to stakeholders will be compiled through systematic reviews and qualitative interviews with patients, families, and clinicians; (2) Delphi methodology will be applied to reduce the comprehensive list to a core outcome set; (3) we will review current clinical practice guidelines, existing clinical trials, and literature on bedside assessment of asthma severity. We will then identify practice differences in tne clinical assessment of asthma severity, and determine whether further prospective work is needed to achieve agreement on inclusion criteria for clinical trials in acute paediatric asthma in the emergency department (ED) setting; (4) a retrospective chart review in Australia and New Zealand will identify the incidence of serious clinical complications such as intubation, ICU admission, and death in children hospitalized with acute severe asthma. Understanding the incidence of such outcomes will allow us to understand how common (and therefore how feasible) particular outcomes are in asthma in the ED setting; and finally (5) a meeting of the Pediatric Emergency Research Networks (PERN) asthma working group will be held, with invitation of other clinicians interested in acute asthma research, and patients/families. The group will be asked to achieve consensus on a core set of outcomes and to make recommendations for the conduct of clinical trials in acute severe asthma. If this is not possible, the group will agree on a series of prioritized steps to achieve this aim. Discussion The development of an international consensus on core outcomes is an important first step towards the development of consensus guidelines and standardised protocols for randomized controlled trials (RCTs) in this population. This will enable us to better interpret and compare future studies, reduce risks of study heterogeneity and outcome reporting bias, and improve the evidence base for the management of this important condition.

The COVID-19 pandemic has forced Indian engineering institutions (EIs) to bring their previous half-shut shades completely down. Attracting new admissions to EI campuses during the pandemic have become a ‘now or never’ situation for EIs. During crisis situations, EIs have struggled to return to their normal track. The pandemic has drastically changed students' behavior and family preferences due to mental stress and the emotional life associated with it. Consequently, it has become the need of hour to examine the choice characteristics influencing the selection of EIs during the COVID-19 pandemic.The purpose of this study is to critically examine institutional influence and pandemic influence that affects students’ choice about engineering institutions (EIs) during COVID-19 pandemic situation and consequently to study relationships between them. A quantitative research, conducted through a self-report survey composed by a closed-ended structured questionnaire was performed on the students who were recently enrolled in the EIs (academic year 2020–2021) belonging to North Maharashtra region of India during the pandemic.The findings of this study have revealed that institutional and pandemic influence have directed EI choice under the COVID-19 pandemic. It is also found that pandemic influence is positively affected by institutional influence. The study demonstrated that EIs can attract new enrollments by repositioning their institutional characteristics that regulate pandemic influence. The study can be a measuring tool for policy makers to attract new enrollments under pandemic situation.

Introduction: Emergency departments (ED) globally are addressing the coronavirus disease 2019 (COVID-19) pandemic with varying degrees of success. We leveraged the 17-country, Emergency Medicine Education & Research by Global Experts (EMERGE) network and non-EMERGE ED contacts to understand ED emergency preparedness and practices globally when combating the COVID-19 pandemic. Methods: We electronically surveyed EMERGE and non-EMERGE EDs from April 3–June 1, 2020 on ED capacity, pandemic preparedness plans, triage methods, staffing, supplies, and communication practices. The survey was available in English, Mandarin Chinese, and Spanish to optimize participation. We analyzed survey responses using descriptive statistics. Results: 74/129 (57%) EDs from 28 countries in all six World Health Organization global regions responded. Most EDs were in Asia (49%), followed by North America (28%), and Europe (14%). Nearly all EDs (97%) developed and implemented protocols for screening, testing, and treating patients with suspected COVID-19 infections. Sixty percent responded that provider staffing/back-up plans were ineffective. Many sites (47/74, 64%) reported staff missing work due to possible illness with the highest provider proportion of COVID-19 exposures and infections among nurses. Conclusion: Despite having disaster plans in place, ED pandemic preparedness and response continue to be a challenge. Global emergency research networks are vital for generating and disseminating large-scale event data, which is particularly important during a pandemic.

Introduction Diagnostic processes in the emergency department (ED) involve multiple interactions among individuals who interface with information systems to access and record information. A better understanding of diagnostic processes is needed to mitigate errors. This paper describes a study protocol to map diagnostic processes in the ED as a foundation for developing future error mitigation strategies.Methods and analysis This study of an adult and a paediatric academic ED uses a prospective mixed methods case study design informed by an ED-specific diagnostic decision-making model (the modified ED-National Academies of Sciences, Engineering and Medicine (NASEM) model) and two cognitive theories (dual process theory and distributed cognition). Data sources include audio recordings of patient and care team interactions, electronic health record data, observer field notes and stakeholder interviews. Multiple qualitative analysis methods will be used to explore diagnostic processes in situ, including systems information flow, human–human and human–system interactions and contextual factors influencing cognition. The study has three parts. Part 1 involves prospective field observations of patients with undifferentiated symptoms at high risk for diagnostic error, where each patient is followed throughout the entire care delivery process. Part 2 involves observing individual care team providers over a 4-hour window to capture their diagnostic workflow, team coordination and communication across multiple patients. Part 3 uses interviews with key stakeholders to understand different perspectives on the diagnostic process, as well as perceived strengths and vulnerabilities, in order to enrich the ED-NASEM diagnostic model.Ethics and dissemination The University of Michigan Institutional Review Board approved this study, HUM00156261. This foundational work will help identify strengths and vulnerabilities in diagnostic processes. Further, it will inform the future development and testing of patient, provider and systems-level interventions for mitigating error and improving patient safety in these and other EDs. The work will be disseminated through journal publications and presentations at national and international meetings.

Abstract Objective To examine the association between the medical imaging utilization and information related to patients’ socioeconomic, demographic and clinical factors during the patients’ ED visits; and to develop predictive models using these associated factors including natural language elements to predict the medical imaging utilization at pediatric ED. Methods Pediatric patients’ data from the 2012–2016 United States National Hospital Ambulatory Medical Care Survey was included to build the models to predict the use of imaging in children presenting to the ED. Multivariable logistic regression models were built with structured variables such as temperature, heart rate, age, and unstructured variables such as reason for visit, free text nursing notes and combined data available at triage. NLP techniques were used to extract information from the unstructured data. Results Of the 27,665 pediatric ED visits included in the study, 8394 (30.3%) received medical imaging in the ED, including 6922 (25.0%) who had an X-ray and 1367 (4.9%) who had a computed tomography (CT) scan. In the predictive model including only structured variables, the c-statistic was 0.71 (95% CI: 0.70–0.71) for any imaging use, 0.69 (95% CI: 0.68–0.70) for X-ray, and 0.77 (95% CI: 0.76–0.78) for CT. Models including only unstructured information had c-statistics of 0.81 (95% CI: 0.81–0.82) for any imaging use, 0.82 (95% CI: 0.82–0.83) for X-ray, and 0.85 (95% CI: 0.83–0.86) for CT scans. When both structured variables and free text variables were included, the c-statistics reached 0.82 (95% CI: 0.82–0.83) for any imaging use, 0.83 (95% CI: 0.83–0.84) for X-ray, and 0.87 (95% CI: 0.86–0.88) for CT. Conclusions Both CT and X-rays are commonly used in the pediatric ED with one third of the visits receiving at least one. Patients’ socioeconomic, demographic and clinical factors presented at ED triage period were associated with the medical imaging utilization. Predictive models combining structured and unstructured variables available at triage performed better than models using structured or unstructured variables alone, suggesting the potential for use of NLP in determining resource utilization.

There is a global variation in policies that define clear indications for pediatric intensive care unit (PICU) admissions. In resource-limited countries where PICU service availability is limited, the admission criteria to PICU are urgently needed to optimize the utilization of available intensive care services and to maximize patient benefit. The objective of these consensus recommendations on PICU admission criteria is to provide a framework and reference for future policy development by professional societies and governments. Design: The consensus recommendations were developed by a multidisciplinary consensus task force comprised of international experts in pediatric critical care, emergency medicine, trauma, critical care, and health policy stakeholders during the 2016 annual INDUSEM WORLD CONGRESS in Bengaluru, India. Measurements and Main Results: A task force steering committee completed a global literature search about PICU admission criteria development, reviewed PICU admission guidelines published by a variety of professional organizations worldwide, and performed a literature review of relevant publications. The objectives of this task force is to provide a framework for validated approach to determine appropriateness of intensive care unit (ICU) admission in India (resource-limited setting) based on (a) prioritization modeling; (b) general clinical criteria; (c) clinical and objective parameters; and (d) other criteria. The expert consensus panel then discussed and ranked proposed criteria according to scientific evidence, the current standard of care, and expert opinion in the context of the Indian health system. The general subject was addressed in sections: admission criteria and benefits of different levels of care. Following the appraisal of the literature, discussion, and consensus, recommendations were written. Conclusion: Although these are consensus recommendations, the subjects addressed encompass complex ethical and medicolegal aspects of patient care that affect daily clinical practice. The scarcity of high-quality evidence made it difficult to answer all the questions asked related to ICU admission. Despite these limitations, the members of the task force believe that these recommendations provide a comprehensive framework to guide practitioners in making informed decisions during the admission process. This publication is designed to assist in future development of health policies to ensure effective resource allocation, maximize healthcare benefits, and improve access to quality care for children.

Importance: While the literature documenting health disparities has advanced in recent decades, less is known about the pattern of racial/ethnic disparities in emergency care in the United States.Objective: To describe the trends and differences of health outcomes and resource utilization among racial/ethnic groups in US emergency care for adult patients over a 12-year period.Design, Setting, and Participants: This cross-sectional study of emergency department (ED) data from the nationally representative National Hospital Ambulatory Medical Survey (NHAMCS) examined multiple dimensions of ED care and treatment from 2005 to 2016 among adults in the US.Main Outcomes and Measures: The main outcomes include ED care outcomes (hospital admission, ICU admission, and death in the ED/hospital), resource utilization outcomes (medical imaging use, blood test, and procedure use), and patients' waiting time in the ED. The main exposure variable is race/ethnicity including white patients (non-Hispanic), black patients (non-Hispanic), Hispanic patients, Asian patients, and Other.Results: During the 12-year study period, NHAMCS collected data on 247,989 adult (> 18 years old) ED encounters, providing a weighted sample of 1,065,936,835 ED visits for analysis. Asian patients were 1.21 times more likely than white patients to be admitted to the hospital following an ED visit (aOR 1.21, 95% CI 1.12–1.31). Hispanic patients presented no significant difference in hospital admission following an ED visit (aOR 1.01, 95% CI 0.97–1.06) with white patients. Black patients were 7% less likely to receive an urgent ESI score than white patients less likely to receive immediate or emergent scores, as opposed to semi- or non-urgent scores. Black patients were also 10% less likely than white patients to be admitted to the hospital and were 1.26 times more likely than white patients to die in the ED or hospital.Conclusions and Relevance: Race is associated with significant differences in ED treatment and admission rates, which may represent disparities in emergency care. Hispanic and Asian Americans were equal or more likely to be admitted to the hospital compared to white patients. Black patients received lower triage scores and higher mortality rates. Further research is needed to understand the underlying causes and long-term health consequences of these disparities.

Abstract Background Low-income African-American adolescents use preventive medical services less frequently than their White counterparts, indicating a need for effective interventions targeting this group. Puff City is a Web-based, asthma management program for urban adolescents that has been evaluated in high school settings with promising results. The objective of this pilot was to assess the feasibility of initiating Puff City (treatment) in an emergency department setting, thereby informing the conduct of an individual randomized trial to evaluate its effectiveness compared to a generic, Web-based program (control) in preventing subsequent emergency department (ED) visits. Methods Teens aged 13–19 years presenting with acute asthma to two urban EDs within the study period were eligible. Subsequent ED visits were collected using the electronic medical record. A priori indication of a potential intervention effect was p 3 of 4 sessions and 90% completed the 12-month survey. At 12 months, the treatment group showed a trend toward fewer ED visits than controls (33.8 versus 46.4%), p = 0.15. Conclusions Results indicate the feasibility of enrolling at-risk adolescents in ED settings and set the stage for a large, pragmatic trial using a technology-based intervention to reduce the burden of pediatric asthma. Trial registration ClinicalTrials.gov, NCT01695031

Abstract Background Detecting change in health status over time and ascertaining meaningful changes are critical elements when using health-related quality of life (HRQL) instruments to measure patient-centered outcomes. The PedsQL™ Sickle Cell Disease module, a disease specific HRQL instrument, has previously been shown to be valid and reliable. Our objectives were to determine the longitudinal validity of the PedsQL™ Sickle Cell Disease module and the change in HRQL that is meaningful to patients. Methods An ancillary study was conducted utilizing a multi-center prospective trial design. Children ages 4–21 years with sickle cell disease admitted to the hospital for an acute painful vaso-oclusive crisis were eligible. Children completed HRQL assessments at three time points (in the Emergency Department, one week post-discharge, and at return to baseline (One to three months post-discharge). The primary outcome was change in HRQL score. Both distribution (effect size, standard error of measurement (SEM)) and anchor (global change assessment) based methods were used to determine the longitudinal validity and meaningful change in HRQL. Changes in HRQL meaningful to patients were identified by anchoring the change scores to the patient’s perception of global improvement in pain. Results Moderate effect sizes (0.20–0.80) were determined for all domains except the Communication I and Cognitive Fatigue domains. The value of 1 SEM varied from 3.8–14.6 across all domains. Over 50% of patients improved by at least 1 SEM in Total HRQL score. A HRQL change score of 7–10 in the pain domains represented minimal perceived improvement in HRQL and a HRQL change score of 18 or greater represented moderate to large improvement. Conclusions The PedsQL™ Sickle Cell Disease Module is responsive to changes in HRQL in patients experiencing acute painful vaso-occlusive crises. The study data establish longitudinal validity and meaningful change parameters for the PedsQL™ Sickle Cell Disease Module. Trial Registration ClinicalTrials.gov (study identifier: NCT01197417 ). Date of registration: 08/30/2010

A 23-day-old neonate, born of nonconsangious marriage, admitted to Neonatal Intensive Care Unit for hypernatremic dehydration with petechiae and ecchymotic patches and necrotic skin lesions for 10–12 days was referred to dermatology department. On the general examination, pulse was 158/min, and respiratory rate was 52/min, and systemic examination was normal. Hematological investigations showed pancytopenia. Bleeding time was normal but prothrombin time and activated partial thromboplastin time reports were prolonged. D-dimer levels were elevated. Urine and stool were normal. Blood culture and sensitivity report revealed the growth of Citrobacter species with sensitivity to ciprofloxacin, amikacin, tetracycline, and resistance to Imipenem. Histopathology revealed epidermal hyperkeratosis with epidermal-dermal splitting, vessels showing fibrin occlusion with red blood cell extravasation into the perivascular areas in dermis along with dermal necrosis. To the best of our knowledge, this might be the first case of purpura fulminans in a neonate caused by rare Citrobacter species.

Background: There is an incomplete understanding of disparities in emergency care for children across racial and ethnic groups in the United States. In this project, we sought to investigate patterns in emergency care utilization, disposition, and resource use in children by race and ethnicity after adjusting for demographic, socioeconomic, and clinical factors.Methods: In this cross-sectional study of emergency department (ED) data from the nationally representative National Hospital Ambulatory Medical Survey (NHAMCS), we examined multiple dimensions of ED care and treatment from 2005 to 2016 among children in the United States. The main outcomes include ED disposition (hospital admission, ICU admission, and in hospital death), resources utilization (medical imaging use, blood tests, and procedure use) and patient ED waiting times and total length of ED stay. The main exposure variable is race/ethnicity, categorized as non-Hispanic white (white), non-Hispanic black (Black), Hispanic, Asian, and Other. Analyses were stratified by race/ethnicity and adjusted for demographic, socioeconomic, and clinical factors.Results: There were 78,471 pediatric (≤18 years old) ED encounters, providing a weighted sample of 333,169,620 ED visits eligible for analysis. Black and Hispanic pediatric patients were 8% less likely (aOR 0.92, 95% CI 0.91–0.92) and 14% less likely (aOR 0.86, CI 0.86–0.86), respectively, than whites to have their care needs classified as immediate/emergent. Blacks and Hispanics were also 28 and 3% less likely, respectively, than whites to be admitted to the hospital following an ED visit (aOR 0.72, CI 0.72–0.72; aOR 0.97, CI 0.97–0.97). Blacks and Hispanics also experienced significantly longer wait times and overall visits as compared to whites.Conclusions: Black and Hispanic children faced disparities in emergency care across multiple dimensions of emergency care when compared to non-Hispanic white children, while Asian children did not demonstrate such patterns. Further research is needed to understand the underlying causes and long-term health consequences of these divergent patterns of racial disparities in ED care within an increasingly racially diverse cohort of younger Americans.

Background: The epidemiology of emergency care globally is largely unknown, especially in developing countries, because of a lack of common taxonomy, an absence of robust reporting mechanisms, and because emergency medicine is not always recognised as a subspecialty in its own right. Other disease-specific and specialty-specific research networks have addressed these barriers and brought about improved health of populations as a result. The University of Michigan's Department of Emergency Medicine is developing an international emergency-department research network to study the epidemiology of emergency visits in developed and developing countries. Our objectives are: to describe the first steps taken in creation of an international emergency-department research network; to discuss lessons learned; and propose a feasibility pilot study to determine epidemiology of emergency department visits across ten emergency departments in eight countries. Methods: We contacted emergency departments that have a training programme for emergency medicine and have an existing collaboration with the University of Michigan's Global Reach programme in China, India, Ghana, Brazil, Taiwan, Austria, Finland, and the USA. We conducted a survey of research-related resources and electronic data access to determine whether sites were suitable for inclusion in the network. Finally, we proposed a feasibility study to measure interest in the project at sites as well as their ability to participate. Findings: We noticed substantial variation between sites with respect to: the emergency department triage process; access to consultants; definitions of levels of severity of illness; management of resuscitation; and discharge disposition, even for the same condition. We developed a manual of operations, standard taxonomies, and are working on Institutional Review Board approval and data transfer agreements. We will be enrolling patients in prospective and retrospective studies with a sparse simultaneous-sampling design over a period of 6 months. The data collected will have ongoing quality checks to confirm validity and reliability. Interpretation: Despite some substantial barriers, development of an infrastructure to study emergency care at a global level is feasible. The sustainability plan is to create a robust network that nurtures future investigators, identifies funding sources, and works on collaborative research. We anticipate challenges in collecting baseline data on emergency department presentations, so have designed two pathways to collect data: a retrospective Electronic Health Record query; and prospective data collection in real-time. We are planning an in-person meeting to establish standard processes for research priorities and resource allocation. Funding: None.