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.

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.

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.

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.

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.

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.

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.

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.

Implementation of a dual cervical spine and blunt cerebrovascular injury assessment pathway for pediatric trauma patients.

BACKGROUND: Pediatric cervical spine (CSI) and blunt cerebrovascular injuries (BCVI) are challenging to evaluate as they are rare but carry high morbidity and mortality. CT scans are the traditional imaging modality to evaluate for CSI/BCVI, but involve radiation exposure and potential future increased risk of malignancy. Therefore, we present results from the implementation of a combined CSI/BCVI pediatric trauma clinical pathway to aid clinicians in their decision-making. METHODS: We conducted a 2-year retrospective cohort study analyzing data pre and post implementation of the combined CSI/BCVI pathway. Data was obtained from a level 1 pediatric trauma center and included blunt trauma patients under the age of 14. We evaluated the use of cervical spine computed tomography (CT), CT angiography, and plain radiographs, as well as missed injuries and provider pathway adherence. RESULTS: We included 358 patients: 209 pre-pathway and 149 post-pathway implementation. Patient mean age was 8.9 years and 61% were male (61% males). There were no significant differences in GCS, AIS, and ISS between pre and post pathway groups. Post pathway implementation saw reduced use of cervical spine CT, although this was not clinically significant (33% vs 31%, p = 0.74). However, cervical spine radiography use increased (9% vs 16%, p = 0.03), and there was also an increase in screening for BCVI injuries with higher use of CTA (5% vs 7%, p = 0.52). A total of 12 CSI and 3 BCVI were identified with no missed injuries. Provider adherence to the pathway was modest (54%). Conclusion Implementation of a combined CSI/BCVI clinical pathway for pediatric trauma patients increased screening radiography and did not miss any injuries. However, CT use did not significantly decrease and provider adherence was modest, supporting the need for further implementation analysis and larger studies to validate the pathway's sensitivity and specificity for CSI/BCVI.

Pediatric Conditions Requiring Interfacility Transport From Emergency Departments: A Statewide Study of Regionalization.

OBJECTIVES: Pediatric care is increasingly regionalized, increasing rates of interfacility transport (IFT). However, it is unknown what conditions most frequently require IFT. This study's objective was to identify high-frequency pediatric conditions requiring IFT. METHODS: This is a statewide retrospective observational study from 2010 to 2012 of pediatric patients (<18 years of age) who underwent IFT in Maryland. Patients were identified from the Health Care Utilization Project's database using probabilistic linkage. This study identified the 20 most common pediatric IFT conditions, and the conditions with the highest IFT rates. RESULTS: Probabilistic linkage was successful for 2254 records. The largest age category was 0 to 4 years (43%). The top 3 IFT conditions were asthma (13.5%), epilepsy (8.5%), and diabetes mellitus (6.6%). Diabetes mellitus had the highest IFT rate (24%), followed by appendicitis (15.5%) and internal obstruction (14.4%). CONCLUSIONS: Specific pediatric conditions commonly require IFT and had high IFT rates in this statewide study. In addition, the largest age group undergoing IFT was young children (0 to 4 years of age). This study provides specific detail regarding conditions and ages impacted by IFT, and emergency medical services should consider incorporating these findings into transport destination algorithms. In addition, public health stakeholders should address implications of the concentration of care for these common pediatric conditions and younger age groups.

A Statewide Study of the Epidemiology of Emergency Medical Services' Management of Pediatric Asthma.

OBJECTIVES: Little is known about emergency medical services' (EMS') management of pediatric asthma. This study's objective was to describe the demographic, clinical, and geographic characteristics of current EMS' management of pediatric asthma in the state with the fourth-largest pediatric population. METHODS: This was a retrospective observational study of EMS patients ages 2 to 18 years with an asthma exacerbation from 2011 to 2016. Patients from Florida's EMS Tracking and Reporting System were included if their EMS chief complaint indicated respiratory distress, if they received at least 1 albuterol treatment, and if they were transported to a hospital. RESULTS: A total of 11,226 patients met the inclusion criteria. The median age was 9 years, and 49% were African-American. Geospatial analysis revealed 4 rural counties with disproportionate numbers of African-American patients. In addition to albuterol, 37% of patients received ipratropium bromide and 9% received systemic corticosteroids. Adjusted logistic regression revealed that the strongest predictors of receiving systemic corticosteroids from EMS were intravenous access (odds ratio, 33.4; 95% confidence interval, 24.4-45.6) and intravenous magnesium sulfate administration (odds ratio, 5.0; 95% confidence interval, 3.4-7.3), indicating a more severe presentation. CONCLUSIONS: This statewide study demonstrated low rates of EMS administration of ipratropium bromide and systemic corticosteroids, both evidence-based treatments for asthma exacerbations. Targeted EMS education should attempt to increase utilization of both those medications. In addition, the feasibility and efficacy of EMS administration of oral systemic corticosteroids for children should be explored.

Methods and implementation of a pediatric asthma pharmacogenomic study in the emergency department setting.

OBJECTIVES: The emergency department (ED) is a challenging setting to conduct pharmacogenomic studies and integrate that data into fast-paced and potentially life-saving treatment decisions. Therefore, our objective is to present the methods and feasibility of a pilot pharmacogenomic study set in the ED that measured pediatric bronchodilator response (BDR) during acute asthma exacerbations. METHODS: This is an exploratory pilot study that collected buccal swabs for DNA and measured BDR during ED encounters for pediatric asthma exacerbations. We evaluated the study's feasibility with a qualitative analysis of ED provider surveys and quantitatively by the proportion of eligible patients enrolled. RESULTS: We enrolled 59 out of 90 patients (65%) that were identified and considered eligible during a 5-month period (target enrollment 60 patients over 12 months). The median patient age was 7 years (interquartile range 4-9 years), 61% (N = 36) were male, and 92% (N = 54) were African American. Quality DNA collection was successful for all 59 patients. The ED provider survey response rate was 100%. Most ED providers reported that the study did not impact their workflow (98% of physicians, 88% of nurses, and 90% of respiratory therapists). ED providers did report difficulties with spirometry in the younger age group. CONCLUSIONS: Pharmacogenomic studies can be conducted in the ED setting, and enroll a younger patient population with a high proportion of minority participants. By disseminating this study's methods and feasibility analysis, we aim to increase interest in pharmacogenomic studies set in the ED and aimed toward future ED-based pharmacogenomic decision-making.

Prodromal clinical, demographic, and socio-ecological correlates of asthma in adults: a 10-year statewide big data multi-domain analysis.

Objectives: To identify prodromal correlates of asthma as compared to chronic obstructive pulmonary disease and allied-conditions (COPDAC) using a multi domain analysis of socio-ecological, clinical, and demographic domains.Methods: This is a retrospective case-risk-control study using data from Florida's statewide Healthcare Cost and Utilization Project (HCUP). Patients were grouped into three groups: asthma, COPDAC (without asthma), and neither asthma nor COPDAC. To identify socio-ecological, clinical, demographic, and clinical predictors of asthma and COPDAC, we used univariate analysis, feature ranking by bootstrapped information gain ratio, multivariable logistic regression with LogitBoost selection, decision trees, and random forests.Results: A total of 141,729 patients met inclusion criteria, of whom 56,052 were diagnosed with asthma, 85,677 with COPDAC, and 84,737 with neither asthma nor COPDAC. The multi-domain approach proved superior in distinguishing asthma versus COPDAC and non-asthma/non-COPDAC controls (area under the curve (AUROC) 84%). The best domain to distinguish asthma from COPDAC without controls was prior clinical diagnoses (AUROC 82%). Ranking variables from all the domains found the most important predictors for the asthma versus COPDAC and controls were primarily socio-ecological variables, while for asthma versus COPDAC without controls, demographic and clinical variables such as age, CCI, and prior clinical diagnoses, scored better.Conclusions: In this large statewide study using a machine learning approach, we found that a multi-domain approach with demographics, clinical, and socio-ecological variables best predicted an asthma diagnosis. Future work should focus on integrating machine learning-generated predictive models into clinical practice to improve early detection of those common respiratory diseases.

A Statewide Analysis of EMS' Pediatric Transport Destination Decisions.

Introduction: Deciding where to transport a patient is a key decision made by emergency medical services (EMS), particularly for children because pediatric hospital resources are regionalized. Since evidence-based guidelines for pediatric transport destinations are being developed, the purpose of this study was to use a large statewide EMS database to describe current patterns of EMS providers' transport destination decisions for pediatric patients.Methods: This is a retrospective study of pediatric transports from 2011-2016 in EMS Tracking and Reporting System (EMSTARS), Florida's statewide EMS database. We included patients greater than 1 day and less than or equal to 18 years who were primary EMS scene transports. Our primary outcome variable was 'reason for choosing destination.' We performed descriptive and comparative analysis between closest facility and all other 'reason for choosing destination' choices. We used geospatial analysis to examine destination choice in urban and rural counties.Results: Our final study sample was 446,274, and 48.2% of patients had closest facility as their 'reason for choosing destination.' The next largest category was patient/family choice (154,035 patients, 35.7%). Closest facility patients were older (median age 12 versus 10 years, p < 0.0001) and had shorter median EMS transport times (11.3 versus 15 minutes, p < 0.0001) compared to all other destination decisions. Notably, 60% of respiratory distress patients' and 44% of seizure patients' reason for choosing destination was something other than closest facility. Geospatial analysis revealed that fewer rural patients were documented as closest facility compared to urban (43.9% versus 47%, p < 0.0001). Correspondingly, more rural patients' destination decision was patient/family choice than urban patients (36.3% versus 34.3%, p < 0.0001).Conclusions: This large, statewide study describes EMS' reason for choosing destination for pediatric patients. We found that just under half of patients were documented as closest facility, and over one-third as patient/family choice. Significant differences in destination reasons were noted for rural versus urban counties. This study can help those currently developing pediatric EMS destination guidelines by revealing a high proportion of patient/family choice and identifying conditions with high proportions of destination reasons other than closest facility.

Pediatric Behavioral Health-Related EMS Encounters: A Statewide Analysis.

Objectives: Pediatric behavioral health disorders and related emergency department visits are increasing, but effects on emergency medical services (EMS) are unknown. This study's objective was to describe the statewide epidemiology of pediatric behavioral health-related EMS encounters in Florida, including mental health and substance use. Methods: This analysis is a retrospective study of pediatric behavioral health-related EMS encounters from Florida's statewide EMS Tracking and Reporting Systems Database from 2011 to 2016. Demographic, clinical, EMS, and geographic characteristics are described. We also compared characteristics between patients who did and did not receive an acute EMS behavioral/psychiatric intervention. Results: There were 22,254 pediatric behavioral health-related EMS encounters during the study period, one-quarter of which were noted to have suspected or confirmed ingestion/substance use. The median age was 16 and the majority of patients were female and white. A total of 946 patients (4%) had an acute EMS behavioral/psychiatric intervention. EMS scene, ED turnaround, and total EMS time were significantly longer for intervention patients. Of the 14 counties in the top quartile of percentages of intervention patients, 7 were rural, 10 did not have any hospitals with child/adolescent psychiatric services, and 7 did not have any child psychiatrists. Conclusions: Pediatric behavioral-health related EMS encounters had a significant proportion of suspected ingestions/substance use, and we found disproportionate effects on rural agencies. Increases in EMS resource utilization (including longer EMS times) occurred in certain settings with limited behavioral health infrastructure. Those findings suggest an opportunity for community paramedicine to alleviate EMS utilization and decrease the frequency of pediatric behavioral health emergencies.

Emergency Medical Services Bypass of the Closest Facility for Pediatric Patients.

Objectives: Pediatric specialty care is increasingly regionalized. It is unknown how regionalization affects emergency medical services (EMS) providers' destination decisions for non-trauma pediatric patients. We sought to characterize the rates of bypass of the closest facility, and destination facilities' levels of pediatric care in three diverse EMS agencies. Methods: This is a one-year retrospective study of non-trauma pediatric patients less than 18 years of age transported by three EMS agencies (Baltimore City, Prince George's County, and Queen Anne's County) in 2016. A priori, a bypass was defined as transport to a facility more than 2 km farther than the distance to the closest facility. We calculated rates of bypass and categorized destination and closest facilities by their pediatric service availability using publicly available information. EMS transport distance and time were also compared for bypass and closest facility patients. Results: The three EMS agencies in 2016 transported a total of 12,258 non-trauma pediatric patients, of whom 11,945 (97%) were successfully geocoded. Overall 43% (n = 5,087) of patients bypassed the nearest facility, of which 87% (n = 4,439) were transported to a facility with higher-level pediatric care than the closest facility. Both bypass rates and destination facility pediatric levels differed between agencies. Bypasses had significantly longer transport times and distances as compared to closest facility transports (p < 0.001). For non-trauma pediatric bypasses alone, an additional 41,494 kilometers traveled, and 979 hours of EMS transport time was attributable to bypassing the closest facility. Conclusions: This study reveals a high rate of pediatric bypass for non-trauma patients in three diverse EMS agencies. Bypass results in increased EMS resource utilization through longer transport time and distance. For non-trauma pediatric patients for whom there is little destination guidance, further work is required to determine bypass' effects on patient outcomes.

Retrospective Evaluation of Risk Factors for Pediatric Secondary Transport.

OBJECTIVE: Emergency medical services (EMS) typically transports patients to the nearest emergency department (ED). After initial presentation, children who require specialized care must undergo secondary transport, exposing them to additional risks and delaying definitive treatment. EMS direct transport protocols exist for major trauma and certain adult medical conditions, however the same cannot be said for pediatric medical conditions or injuries that do not meet trauma center criteria ('minor trauma'). To explore the utility of such future protocols, we sought to first describe the pediatric secondary transport population and examine prehospital risk factors for secondary transport. METHODS: Pediatric secondary transport patients aged 0-18 years were identified. Patients meeting state EMS trauma protocol criteria or who were clinically unstable were excluded. Data were abstracted by chart review of EMS, community hospital ED, and specialty hospital records. Patients were compared to control patients with similar conditions who did not require secondary transport. RESULTS: This study identified 211 medical or minor trauma pediatric secondary transport patients between 2013 and 2014. The three most prevalent conditions were seizure (n = 52), isolated orthopedic injury (n = 49), and asthma/respiratory distress (n = 27). Increased odds of secondary transport for seizure patients were associated with administration of supplemental oxygen, glucose measurement, and online medical direction; for isolated orthopedic injuries, online medical direction; and for asthma/respiratory distress, administration of supplemental oxygen, and online medical direction. Decreased odds of secondary transport for seizure patients were associated with a higher GCS; for isolated orthopedic injuries, increased age and oxygen saturation; and for asthma/respiratory distress, administration of albuterol only. CONCLUSIONS: Children with seizures, isolated orthopedic injuries, and asthma/respiratory distress comprised the majority of the medical or minor trauma pediatric secondary transport population. Each of those conditions had specific risk factors for secondary transport. This study's results provide information to guide future prospective studies and the development of direct transport protocols for those populations.