Measuring the Implementation Preferences of Emergency Medical Services Clinicians Using Discrete Choice Experiments.

INTRODUCTION: Prehospital research and evidence-based guidelines (EBGs) have grown in recent decades, yet there is still a paucity of prehospital implementation research. While recent studies have revealed EMS agency leadership perspectives on implementation, the important perspectives and opinions of frontline EMS clinicians regarding implementation have yet to be explored in a systematic approach. The objective of this study was to measure the preferences of EMS clinicians for the process of EBG implementation and whether current agency practices align with those preferences. METHODS: This study was a cross-sectional survey of National Registry of Emergency Medical Technicians registrants. Eligible participants were certified paramedics who were actively practicing EMS clinicians. The survey contained discrete choice experiments (DCEs) for three EBG implementation scenarios and questions about rank order preferences for various aspects of the implementation process. For the DCEs, we used multinomial logistic regression to analyze the implementation preference choices of EMS clinicians, and latent class analysis to classify respondents into groups by their preferences. RESULTS: A total of 183 respondents completed the survey. Respondents had a median age of 39 years, were 74.9% male, 89.6% White, and 93.4% of non-Hispanic ethnicity. For all three DCE scenarios, respondents were significantly more likely to choose options with hospital feedback and individual-level feedback from EMS agencies. Respondents were significantly less likely to choose options with email/online only education, no feedback from hospitals, and no EMS agency feedback to clinicians. In general, respondents' preferences favored classroom-based training over in-person simulation. For all DCE questions, most respondents (66.2%-77.1%) preferred their survey DCE choice to their agency's current implementation practices. In the rank order preferences, most participants selected "knowledge of the underlying evidence behind the change" as the most important component of the process of implementation. CONCLUSIONS: In this study of EMS clinicians' implementation preferences using DCEs, respondents preferred in-person education, feedback on hospital outcomes, and feedback on their individual performance. However, current practice at EMS agencies rarely matched those expressed EMS clinician preferences. Collectively, these results present opportunities for improving EMS implementation from the EMS clinician perspective.

Early Administration of Steroids in the Ambulance Setting: An Observational Design Trial (EASI-AS-ODT).

BACKGROUND: In the emergency department (ED), prompt administration of systemic corticosteroids for pediatric asthma exacerbations decreases hospital admission rates. However, there is sparse evidence for whether earlier administration of systemic corticosteroids by emergency medical services (EMS) clinicians, prior to ED arrival, further improves pediatric asthma outcomes. METHODS: Early Administration of Steroids in the Ambulance Setting: An Observational Design Trial is a multicenter, observational, nonrandomized stepped-wedge design study with seven participating EMS agencies who adopted an oral systemic corticosteroid (OCS) into their protocols for pediatric asthma treatment. Using univariate analyses and multivariable mixed-effects models, we compared hospital admission rates for pediatric asthma patients ages 2-18 years before and after the introduction of a prehospital OCS and for those who did and did not receive a systemic corticosteroid from EMS. RESULTS: A total of 834 patients were included, 21% of whom received a systemic corticosteroid from EMS. EMS administration of systemic corticosteroids increased after the introduction of an OCS from 14.7% to 28.1% (p < 0.001). However, there was no significant difference between hospital admission rates and ED length of stay before and after the introduction of OCS or between patients who did and did not receive a systemic corticosteroid from EMS. Mixed-effects models revealed that age 14-18 years (coefficient -0.83, p = 0.002), EMS administration of magnesium (coefficient 1.22, p = 0.04), and initial EMS respiratory severity score (coefficient 0.40, p < 0.001) were significantly associated with hospital admission. CONCLUSIONS: In this multicenter study, the addition of an OCS into EMS agency protocols for pediatric asthma exacerbations significantly increased systemic corticosteroid administration but did not significantly decrease hospital admission rates. As overall EMS systemic corticosteroid administration rates were low, further work is required to understand optimal implementation of EMS protocol changes to better assess potential benefits to patients.

Evaluation of the implementation of evidence-based pediatric asthma exacerbation treatments in a regional consortium of emergency medical Services Agencies.

OBJECTIVE: Asthma exacerbations are a frequent reason for pediatric emergency medical services (EMS) encounters. The objective of this study was to examine the implementation of evidence-based treatments for pediatric asthma in a regional consortium of EMS agencies. METHODS: This retrospective study applied the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) implementation framework to data from an EMS agency consortium in the Cincinnati, Ohio region. The study analyzed one year before an oral systemic corticosteroid (OCS) option was added to the agencies' protocol, and five years after the protocol change. We constructed logistic regression models for the primary outcome of Reach, defined as the proportion of pediatric asthma patients who received a systemic corticosteroid. We modeled Maintenance (Reach measured monthly over time) using time series models. RESULTS: A total of 713 patients were included, 133 pre- and 580 post-protocol change. In terms of Reach, 3% (n = 4) of eligible patients received a systemic corticosteroid pre-OCS versus 20% (n = 116) post-OCS. Multivariable modeling of Reach revealed the study period, EMS transport time, months since implementation of OCS, and number of bronchodilators administered by EMS as significant covariates for the administration of a systemic corticosteroid. For Maintenance, it took approximately two years to reach maximal administration of systemic corticosteroids. CONCLUSIONS: Indicators of asthma severity and time since the protocol change were significantly associated with EMS administration of systemic corticosteroids to pediatric asthma patients. The two-year time for maximal Reach suggests further work is required to understand how to best implement evidence-based pediatric asthma treatments in EMS.

Examination of disparities in prehospital encounters for pediatric asthma exacerbations.

Introduction: There are disparities in multiple aspects of pediatric asthma care; however, prehospital care disparities are largely undescribed. This study's objective was to examine racial and geographic disparities in emergency medical services (EMS) medication administration to pediatric patients with asthma. Methods: This is a substudy of the Early Administration of Steroids in the Ambulance Setting: An Observational Design Trial, which includes data from pediatric asthma patients ages 2-18 years. We examined rates of EMS administration of systemic corticosteroids and inhaled bronchodilators by patient race. We geocoded EMS scene addresses, characterized the locations' neighborhood-based conditions and resources relevant to children using the Child Opportunity Index (COI) 2.0, and analyzed associations between EMS scene address COI with medications administered by EMS. Results: A total of 765 patients had available racial data and 825 had scene addresses that were geocoded to a COI. EMS administered at least 1 bronchodilator to 84.7% (n = 492) of non-White patients and 83.2% of White patients (n = 153), P = 0.6. EMS administered a systemic corticosteroid to 19.4% (n = 113) of non-White patients and 20.1% (n = 37) of White patients, P = 0.8. There was a significant difference in bronchodilator administration between COI categories of low/very low versus moderate/high/very high (85.0%, n = 485 vs. 75.9%, n = 192, respectively, P = 0.003). Conclusions: There were no racial differences in EMS administration of medications to pediatric asthma patients. However, there were significantly higher rates of EMS bronchodilator administration for encounters in low/very low COIs. That latter finding may reflect inequities in asthma exacerbation severity for patients living in disadvantaged areas.

Cancer incidence after asthma diagnosis: Evidence from a large clinical research network in the United States.

BACKGROUND: Prior studies on the association between asthma and cancer show inconsistent results. This study aimed to generate additional evidence on the association between asthma and cancer, both overall, and by cancer type, in the United States. METHOD: We conducted a retrospective cohort study using 2012-2020 electronic health records and claims data in the OneFlorida+ clinical research network. Our study population included a cohort of adult patients with asthma (n = 90,021) and a matching cohort of adult patients without asthma (n = 270,063). We built Cox proportional hazards models to examine the association between asthma diagnosis and subsequent cancer risk. RESULTS: Our results showed that asthma patients were more likely to develop cancer compared to patients without asthma in multivariable analysis (hazard ratio [HR] = 1.36, 99% confidence interval [CI] = 1.29-1.44). Elevated cancer risk was observed in asthma patients without (HR = 1.60; 99% CI: 1.50-1.71) or with (HR = 1.11; 99% CI: 1.03-1.21) inhaled steroid use. However, in analyses of specific cancer types, cancer risk was elevated for nine of 13 cancers in asthma patients without inhaled steroid use but only for two of 13 cancers in asthma patients with inhaled steroid use, suggesting a protective effect of inhaled steroid use on cancer. CONCLUSION: This is the first study to report a positive association between asthma and overall cancer risk in the US population. More in-depth studies using real-word data are needed to further explore the causal mechanisms of asthma on cancer risk.

Pediatric Bradycardia Is Undertreated in the Prehospital Setting: A Retrospective Multi-Agency Analysis.

BACKGROUND: Bradycardia is the most common terminal cardiac electrical activity in children, and early recognition and treatment is necessary to avoid cardiac arrest. Interventions such as oxygen, chest compressions, epinephrine, and atropine recommended by American Heart Association (AHA) Pediatric Advanced Life support (PALS) guidelines have been shown to improve outcomes (including higher survival rates) for inpatient pediatric patients with bradycardia. However, little is known about the epidemiology of pediatric prehospital bradycardia. We sought to investigate the incidence and management of pediatric bradycardia in the prehospital setting by emergency medical services (EMS). METHODS: This was a retrospective study of 911 scene response prehospital encounters for patients ages 0-18 years in 2019 from the United States ESO Research Data Collaborative. We defined age-based bradycardia per the 2015 AHA PALS guidelines. We performed general descriptive statistics and a univariate analysis examining any PALS-recommended interventions in the presence of altered mental status, hypotension for age, and a first heart rate less than 60. RESULTS: Of 7,422,710 encounters in the 2019 ESO Data Collaborative, 1,209 patients met inclusion criteria. Most (58.5%) were male, and the median age was 2 years (interquartile range 0-13 years). One-quarter (24.7%) of patients received fluids, and bag-valve mask ventilation was the most common airway intervention (12.1% of patients). Receipt of any PALS-recommended interventions was associated with age-adjusted hypotension (odds ratio (OR) 4.0, 95% confidence interval (CI) 3.9-5.4) and altered mental status (OR 15.5, 95% CI 10.7-22.3), but not a first heart rate less than 60 bpm (OR 0.9, 95% CI 0.6-1.1). CONCLUSIONS: To our knowledge, this study is the first to examine the incidence and management of prehospital pediatric bradycardia. Incidence was rare, but adherence to PALS guidelines was variable. Further research and education are needed to ensure proper prehospital treatment of pediatric bradycardia.

Using Natural Language Processing to Examine Social Determinants of Health in Prehospital Pediatric Encounters and Associations with EMS Transport Decisions.

BACKGROUND: Social determinants of health (SDOH) influence access to health care and are associated with inequities in patient outcomes, yet few studies have explored SDOH among pediatric EMS patients. The objective of this study was to examine the presence of SDOH in EMS clinician free text notes and quantify the association of SDOH with EMS pediatric transport decisions. METHODS: This was a retrospective analysis of primary 9-1-1 responses for patients ages 0-17 years from the 2019 ESO Data Collaborative research dataset. We excluded cardiac arrests and patients in law enforcement custody. Using natural language processing (NLP) we extracted the following SDOH categories: income insecurity, food insecurity, housing insecurity, insurance insecurity, poor social support, and child protective services. Univariate and multivariable associations between the presence of SDOH in EMS records and EMS transport decisions were assessed using logistic regression. RESULTS: We analyzed 325,847 pediatric EMS encounters, of which 35% resulted in non-transport. The median age was 10 years and 52% were male. Slightly over half (53%) were White, 31% were Black, and 11% were Hispanic. Child protective services (n = 2,620) and housing insecurity (n = 1,136) were the most common SDOH categories found in the EMS free text narratives. In the multivariable model, child protective services involvement (odds ratio (OR)=2.04 [95% confidence interval (CI) 1.84-2.05]), housing insecurity (OR = 1.46 [95% CI 1.26-1.70]), insurance security (OR = 2.44 [95% CI 1.93-3.09]), and poor social support (OR = 10.48 [95% CI 1.42-77.29]) were associated with greater odds of EMS transport. CONCLUSIONS: SDOH documentation in the EMS narrative was rare among pediatric encounters; however, children with documented SDOH were more likely to be transported. Additional exploration of the root causes and outcomes associated with SDOH among children encountered by EMS are warranted.

Identification of Factors Associated with Return of Spontaneous Circulation after Pediatric Out-of-Hospital Cardiac Arrest Using Natural Language Processing.

INTRODUCTION: Prior studies examining prehospital characteristics related to return of spontaneous circulation (ROSC) in pediatric out-of-hospital cardiac arrest (OHCA) are limited to structured data. Natural language processing (NLP) could identify new factors from unstructured data using free-text narratives. The purpose of this study was to use NLP to examine EMS clinician free-text narratives for characteristics associated with prehospital ROSC in pediatric OHCA. METHODS: This was a retrospective analysis of patients ages 0-17 with OHCA in 2019 from the ESO Data Collaborative. We performed an exploratory analysis of EMS narratives using NLP with an a priori token library. We then constructed biostatistical and machine learning models and compared their performance in predicting ROSC. RESULTS: There were 1,726 included EMS encounters for pediatric OHCA; 60% were male patients, and the median age was 1 year (IQR 0-9). Most cardiac arrest events (61.3%) were unwitnessed, 87.3% were identified as having medical causes, and 5.9% had initial shockable rhythms. Prehospital ROSC was achieved in 23.1%. Words most positively correlated with ROSC were "ROSC" (r = 0.42), "pulse" (r = 0.29), "drowning" (r = 0.13), and "PEA" (r = 0.12). Words negatively correlated with ROSC included "asystole" (r = -0.25), "lividity" (r = -0.14), and "cold" (r = -0.14). The terms "asystole," "pulse," "no breathing," "PEA," and "dry" had the greatest difference in frequency of appearance between encounters with and without ROSC (p < 0.05). The best-performing model for predicting prehospital ROSC was logistic regression with random oversampling using free-text data only (area under the receiver operating characteristic curve 0.92). CONCLUSIONS: EMS clinician free-text narratives reveal additional characteristics associated with prehospital ROSC in pediatric OHCA. Incorporating those terms into machine learning models of prehospital ROSC improves predictive ability. Therefore, NLP holds promise as a tool for use in predictive models with the goal to increase evidence-based management of pediatric OHCA.

Prehospital Pediatric Asthma Care during COVID-19: Changes to EMS Treatment Protocols and Downstream Clinical Effects.

INTRODUCTION: During the COVID-19 pandemic, many emergency medical services (EMS) agencies modified treatment guidelines for clinical care and standard operating procedures. For the prehospital care of pediatric asthma exacerbations, modifications included changes to bronchodilator administration, systemic corticosteroid administration, and introduction of alternative medications. Since timely administration of bronchodilators and systemic corticosteroids has been shown to improve pediatric asthma clinical outcomes, we investigated the association of COVID-19 protocol modifications in the prehospital management of pediatric asthma on hospital admission rates and emergency department (ED) length-of-stay. METHODS: This is a multicenter, retrospective, observational cohort study comparing prehospital pediatric asthma patients treated by EMS clinicians from four EMS systems before and after implementation of COVID-19 interim EMS protocol modifications. We included children ages 2-18 years who were treated and transported by ground EMS for respiratory-related prehospital primary complaints, and who also had asthma-related ED discharge diagnoses. Patient data and outcomes were compared from 12 months prior to and 12 months after the implementation of interim COVID-19 prehospital protocol modifications using univariate and multivariable statistics. RESULTS: A total of 430 patients met inclusion criteria with a median age of 8 years. There was a slight male predominance (57.9%) and the majority of patients were African American (78.4%). There were twice as many patients treated prior to the COVID-19 protocol modifications (N = 287) compared to after (N = 143). There was a significant decrease in EMS bronchodilator administration from 76% to 59.4% of patients after COVID-19 protocol guidelines were implemented (p < 0.0001). Mixed effects models for hospital admission (to both pediatric inpatient units and pediatric intensive care units) as well as ED length-of-stay did not show any significant effect after the COVID-19 protocol change period (p = 0.18 and p = 0.55, respectively). CONCLUSIONS: Despite a decrease in prehospital bronchodilator administration after COVID-19 changes to prehospital pediatric asthma management protocols, hospital admission rates and ED length-of-stay did not significantly increase. However, this finding is tempered by the marked decrease in study patients treated after COVID-19 prehospital protocol modifications. Given the potential for future waves of COVID-19 variants, further studies with larger patient populations are warranted.

Pediatric and adult asthma clinical phenotypes: a real world, big data study based on acute exacerbations.

INTRODUCTION: Asthma is a heterogeneous disease with a range of observable phenotypes. To date, the characterization of asthma phenotypes is mostly limited to allergic versus non-allergic disease. Therefore, the aim of this big data study was to computationally derive asthma subtypes from the OneFlorida Clinical Research Consortium. METHODS: We obtained data from 2012-2020 from the OneFlorida Clinical Research Consortium. Longitudinal data for patients greater than two years of age who met inclusion criteria for an asthma exacerbation based on International Classification of Diseases codes. We used matrix factorization to extract information and K-means clustering to derive subtypes. The distributions of demographics, comorbidities, and medications were compared using Chi-square statistics. RESULTS: A total of 39,807 pediatric patients and 23,883 adult patients met inclusion criteria. We identified five distinct pediatric subtypes and four distinct adult subtypes. Pediatric subtype P1 had the highest proportion of black patients, but the lowest use of inhaled corticosteroids and allergy medications. Subtype P2 had a predominance of patients with gastroesophageal reflux disease, whereas P3 had a predominance of patients with allergic disorders. Adult subtype A2 was the most severe and all patients were on biologic agents. Most of subtype A3 patients were not taking controller medications, whereas most patients (>90%) in subtypes A2 and A4 were taking corticosteroids and allergy medications. CONCLUSION: We found five distinct pediatric asthma subtypes and four distinct adult asthma subtypes. Future work should externally validate these subtypes and characterize response to treatment by subtype to better guide clinical treatment of asthma.

Implementing Oral Systemic Corticosteroids for Pediatric Asthma into EMS Treatment Guidelines: A Qualitative Study.

Introduction: Respiratory distress accounts for approximately 14% of all pediatric emergency medical services (EMS) encounters, with asthma being the most common diagnosis. In the emergency department (ED), early administration of systemic corticosteroids decreases hospital admission and speeds resolution of symptoms. For children treated by EMS, there is an opportunity for earlier corticosteroid administration. Most EMS agencies carry intravenous (IV) corticosteroids; yet given the challenges and low rates of EMS pediatric IV placement, oral corticosteroids (OCS) are a logical alternative. However, previous single-agency studies showed low adoption of OCS. Therefore, qualitative study of OCS implementation by EMS is warranted.Methods: This study's objective was to explore uptake and implementation of OCS for pediatric asthma treatment through semi-structured interviews and focus groups with EMS clinicians. We thematically coded and analyzed transcripts using the domains and constructs of the Consolidated Framework for Implementation Research (CFIR) to identify barriers and facilitators that most strongly influenced OCS implementation and adoption by EMS clinicians.Results: We conducted five focus groups with a total of ten EMS clinicians from four EMS systems: one urban region with multiple agencies that hosted two focus groups, one suburban agency, one rural agency, and a mixed rural/suburban agency. Of the 36 CFIR constructs, 31 were addressed in the interviews. Most constructs coded were in the CFIR domains of the inner setting and characteristics of individuals, indicating that EMS agency factors as well as EMS clinician characteristics were impactful for implementation. Barriers to OCS adoption included unfamiliarity and inexperience with pediatric patients and pediatric dosing, and lack of knowledge of the benefits of corticosteroids. Facilitators included friendly competition with colleagues, having a pediatric medical director, and feedback from receiving EDs on patient outcomes.Conclusion: This qualitative focus group study of OCS implementation by EMS clinicians for the treatment of pediatric asthma found many barriers and facilitators that mapped to the structure of EMS agencies and characteristics of individual EMS clinicians. To fully implement this evidence-based intervention for pediatric asthma, more education on the intervention is required, and EMS clinicians will benefit from further pediatric training.

Understanding Health Care Administrators' Data and Information Needs for Decision Making during the COVID-19 Pandemic: A Qualitative Study at an Academic Health System.

Objective. The COVID-19 pandemic created an unprecedented strain on the health care system, and administrators had to make many critical decisions to respond appropriately. This study sought to understand how health care administrators used data and information for decision making during the first 6 mo of the COVID-19 pandemic. Materials and Methods. We conducted semistructured interviews with administrators across University of Florida (UF) Health. We performed an inductive thematic analysis of the transcripts. Results. Four themes emerged from the interviews: 1) common types of health systems or hospital operations data; 2) public health and other external data sources; 3) data interaction, integration, and exchange; and 4) novelty and evolution in data, information, or tools used over time. Participants illustrated the organizational, public health, and regional information they considered essential (e.g., hospital census, community positivity rate, etc.). Participants named specific challenges they faced due to data quality and timeliness. Participants elaborated on the necessity of data integration, validation, and coordination across different boundaries (e.g., different hospital systems in the same metro areas, public health agencies at the local, state, and federal level, etc.). Participants indicated that even within the first 6 mo of the COVID-19 pandemic, the data and tools used for making critical decisions changed. Discussion. While existing medical informatics infrastructure can facilitate decision making in pandemic response, data may not always be readily available in a usable format. Interoperable infrastructure and data standardization across multiple health systems would help provide more reliable and timely information for decision making. Conclusion. Our findings contribute to future discussions of improving data infrastructure and developing harmonized data standards needed to facilitate critical decisions at multiple health care system levels. Highlights: The study revealed common health systems or hospital operations data and information used in decision making during the first 6 mo of the COVID-19 pandemic.Participants described commonly used internal data sources, such as resource and financial reports and dashboards, and external data sources, such as federal, state, and local public health data.Participants described challenges including poor timeliness and limited local relevance of external data as well as poor integration of data sources within and across organizational boundaries.Results suggest the need for continued integration and standardization of health data to support health care administrative decision making during pandemics or other emergencies.

State emergency medical services guidance and protocol changes in response to the COVID-19 pandemic: A national investigation.

OBJECTIVES: The COVID-19 pandemic has had an impact on emergency medical services (EMS) and its guidelines, which aid in patient care. This study characterizes state and territory EMS office recommendations to EMS statewide operational and clinical guidelines and describes the mechanisms of distribution and implementation during the COVID-19 pandemic. METHODS: A mixed-methods study was conducted in 2 phases. In phase 1, changes and development of COVID-19 guidance and protocols for EMS clinical management and operations were identified among 50 states, the District of Columbia, and 5 territories in publicly available online documents and information. In phase 2, structured interviews were conducted with state/territory EMS officials to confirm the protocol changes or guidance and assess dissemination and implementation strategies for COVID-19. RESULTS: In phase 1, publicly available online documents for 52 states/territories regarding EMS protocols and COVID-19 guidance were identified and reviewed. Of 52 (33/52) states/territories, 33 had either formal protocol changes or specific guidance for the pandemic. In phase 2, 2 state and territory EMS officials were interviewed regarding their protocols or guidance for COVID-19 and the dissemination and implementation practices they used to reach EMS agencies (response rate = 65%). Of the 34 state/territory officials interviewed, 22 had publicly available online COVID-19 protocols or guidance. Of the 22 officials with online COVID-19 protocols, all reported providing operational direction, and 19 of 22 officials reported providing clinical direction. CONCLUSIONS: Most states provided guidance to EMS agencies and/or updated protocols in response to the COVID-19 pandemic.

Priorities for Prehospital Evidence-Based Guideline Development: A Modified Delphi Analysis.

Objective: Few areas of prehospital care are supported by evidence-based guidelines (EBGs). We aimed to identify gaps in clinical and operational prehospital EBGs to prioritize future EBG development and research funding. Methods: Using modified Delphi methodology, we sought consensus among experts in prehospital care and EBG development. Five rounds of surveys were administered between October 2019 and February 2020. Round 1 asked participants to list the top three gaps in prehospital clinical guidelines and top three gaps in operational guidelines that should be prioritized for guideline development and research funding. Based on responses, 3 reviewers performed thematic analysis to develop a list of prehospital EBG gaps, with participant feedback in Round 2. In Round 3, participants rated each gap's importance using a 5-point Likert scale, and participants' responses were averaged. In Round 4, participants rank-ordered 10 gaps with the highest mean scores identified in Round 3. In Round 5, participants indicated their agreement with sets of the highest ranked gaps. Results: Of 23 invited participants, 14 completed all 5 rounds. In Rounds 1 and 2, participants submitted 65 clinical and 58 operational gaps, and thematic analysis identified 23 unique clinical gaps and 28 unique operational gaps. The final prioritized list of clinical EBG gaps was: 1) airway management in adult and pediatric patients, 2) care of the pediatric patient, and 3) management of prehospital behavioral health emergencies, with 79% of participants agreeing. The final prioritized list of operational EBG gaps was: 1) define and measure the impact of EMS care on patient outcomes, 2) practitioner wellness, and 3) practitioner safety in the out-of-hospital environment, with 86% of participants agreeing. Conclusions: This modified Delphi study identifies gaps in prehospital EBGs that, if prioritized for development and research funding, would be expected to have the greatest impact on prehospital clinical care and operations.

A national survey of pediatric emergency medicine physicians on improving education in child maltreatment recognition and reporting child abuse & neglect.

BACKGROUND: Child maltreatment is an important public health problem with serious consequences. Even in the face of increased research and enhanced public awareness over the last decade, the rate of child fatalities due to reported child maltreatment has increased. OBJECTIVE: This study describes pediatric emergency medicine (PEM) physicians' knowledge, training, confidence, and barriers in recognition and reporting suspected child maltreatment. PARTICIPANTS AND SETTING: A nationally representative sample of PEM physician members of Pediatric Emergency Medicine Collaborative Research Committee (PEM CRC) participated. METHODS: A cross-sectional 36-item survey study of PEM physicians with content domains including provider knowledge, preparedness, confidence, and barriers to identifying and reporting child maltreatment was conducted and distributed. RESULTS: 113 of 486 members completed the survey. Confidence with recognizing and reporting child abuse (95%) was greater than in child neglect (88%). Knowledge in child maltreatment recognition and reporting was significantly correlated with confidence in reporting and recognition (p < 0.001). There was a significant relationship between knowledge and confidence for respondents from states with training in child maltreatment recognition and reporting requirement as a condition of licensure and re-licensure compared to states without the requirement (p < 0.01). Qualitative responses revealed insightful themes to improve child maltreatment training, recognition and reporting. CONCLUSION: Our national survey study demonstrates that PEM-trained physicians have high confidence and knowledge with the management of child maltreatment, and that inclusion of mandated child maltreatment training in residency/fellowship and mandated training for medical licensure in all states could improve child maltreatment recognition and reporting.

Emergency Medical Services Clinicians' Pediatric Destination Decision-Making: A Qualitative Study.

Objective This study sought to identify factors that influence emergency medical services (EMS) clinicians' destination decision-making for pediatric patients. We also sought EMS clinicians' opinions on potential systems improvements, such as protocol changes and the use of evidence-based transport guidelines. Methods Thirty-six in-depth phone interviews were conducted using a semi-structured format. We utilized a modified Grounded Theory approach to understand the complicated decision-making processes of EMS personnel. Memo writing was used throughout the data collection and analysis processes in order to identify emerging themes. The research team utilized hierarchical coding of interview transcripts to organize data into sub-categories for final analysis.  Results EMS clinicians cited the perceived need for specialty care, the presence of a medical home, a desire for improved continuity of care, and the availability of aeromedical transport as factors that promoted transport to a pediatric specialty center. They voiced that children with emergent stabilization needs should be transported to the closest facility, however, they did not identify any specific medical conditions suitable for transport to non-specialty centers. EMS clinicians recommended improvements in pediatric-specific education, improved clarity of hospitals' pediatric capabilities, and the creation of a pediatric-specific destination decision-making tool. Conclusion This study describes specific factors that influence EMS clinicians' transport destination decision-making for pediatric patients. It also describes potential systems and educational improvements that may increase pediatric transport directly to definitive care. EMS clinicians are in support of specific designations for hospitals' pediatric capabilities and were in favor of the creation of a formal destination decision-making tool.

Creating a Pediatric Prehospital Destination Decision Tool Using a Modified Delphi Method.

Decisions for patient transport by emergency medical services (EMS) are individualized; while established guidelines help direct adult patients to specialty hospitals, no such pediatric equivalents are in wide use. When children are transported to a hospital that cannot provide definitive care, care is delayed and may cause adverse events. Therefore, we created a novel evidence-based decision tool to support EMS destination choice. A multidisciplinary expert panel (EP) of stakeholders reviewed published literature. Four facility capability levels for pediatric care were defined. Using a modified Delphi method, the EP matched specific conditions to a facility pediatric-capability level in a draft tool. The literature review and EP recommendations identified seventeen pediatric medical conditions at risk for secondary transport. In the first voting round, two were rejected, nine met consensus for a specific facility capability level, and six did not reach consensus on the destination facility level. A second round reached consensus on a facility level for the six conditions as well as revision of one previously rejected condition. In the third round, the panel selected a visual display format. Finally, the panel unanimously approved the PDTree. Using a modified Delphi technique, we developed the PDTree EMS destination decision tool by incorporating existing evidence and the expertise of a multidisciplinary panel.

Single Nucleotide Polymorphisms (SNPs) in PRKG1 & SPATA13-AS1 are associated with bronchodilator response: a pilot study during acute asthma exacerbations in African American children.

OBJECTIVE: Inhaled bronchodilators are the first-line treatment for asthma exacerbations, but individual bronchodilator response (BDR) varies by race and ethnicity. Studies have examined BDR's genetic underpinnings, but many did not include children or were not conducted during an asthma exacerbation. This pilot study tested single-nucleotide polymorphisms' (SNPs') association with pediatric African American BDR during an acute asthma exacerbation. METHODS: This was a study of pediatric asthma patients in the age group 2-18 years treated in the emergency department for an asthma exacerbation. We measured BDR before and after inhaled bronchodilator treatments using both the Pediatric Asthma Severity Score (PASS) and asthma severity score. We collected genomic DNA and examined whether 21 candidate SNPs from a review of the literature were associated with BDR using crude odds ratios (OR) and adjusted analysis. RESULTS: The final sample population was 53 children, with an average age of 7.2 years. The average initial PASS score (scale of ascending severity from 0 to 6) was 2.5. After adjusting for BMI, age category, gender and smoke exposure, rs912142 was associated with decreased odds of having low BDR (OR, 0.20; 95% confidence interval (CI), 0.02-0.92), and rs7081864 and rs7903366 were associated with decreased odds of having high BDR (OR, 0.097; 95% CI, 0.009-0.62). CONCLUSIONS: We found three SNPs significantly associated with pediatric African American BDR that provide information regarding a child's potential response to emergency asthma exacerbation treatment. Once validated in larger studies, such information could guide pharmacogenomic evidence-based emergency asthma treatment to improve patient outcomes.