Pandemic phase-related racial and ethnic disparities in COVID-19 positivity and outcomes among patients presenting to emergency departments during the first two pandemic waves in the USA.

BACKGROUND: In many countries including the USA, the UK and Canada, the impact of COVID-19 on people of colour has been disproportionately high but examination of disparities in patients presenting to ED has been limited. We assessed racial and ethnic differences in COVID-19 positivity and outcomes in patients presenting to EDs in the USA, and the effect of the phase of the pandemic on these outcomes. METHODS: This is a retrospective cohort study of adult patients tested for COVID-19 during, or 14 days prior to, the index ED visit in 2020. Data were obtained from the National Registry of Suspected COVID-19 in Emergency Care network which has data from 155 EDs across 27 US states. Hierarchical models were used to account for clustering by hospital. The outcomes included COVID-19 diagnosis, hospitalisation at index visit, subsequent hospitalisation within 30 days and 30-day mortality. We further stratified the analysis by time period (early phase: March-June 2020; late phase: July-September 2020). RESULTS: Of the 26 111 adult patients, 38% were non-Hispanic White (NHW), 29% Black, 20% Hispanic/Latino, 3% Asian and 10% all others; half were female. The median age was 56 years (IQR 40-69), and 53% were diagnosed with COVID-19; of those, 59% were hospitalised at index visit. Of those discharged from ED, 47% had a subsequent hospitalisation in 30 days. Hispanic/Latino patients had twice (adjusted OR (aOR) 2.3; 95% CI 1.8 to 3.0) the odds of COVID-19 diagnosis than NHW patients, after adjusting for age, sex and comorbidities. Black, Asian and other minority groups also had higher odds of being diagnosed (compared with NHW patients). On stratification, this association was observed in both phases for Hispanic/Latino patients. Hispanic/Latino patients had lower odds of hospitalisation at index visit, but when stratified, this effect was only observed in early phase. Subsequent hospitalisation was more likely in Asian patients (aOR 3.1; 95% CI 1.1 to 8.7) in comparison with NHW patients. Subsequent ED visit was more likely in Blacks and Hispanic/Latino patients in late phase. CONCLUSION: We found significant differences in ED outcomes that are not explained by comorbidity burden. The gap decreased but persisted during the later phase in 2020.

A National Assessment of EMS Performance at the Response and Agency Level.

BACKGROUND: In 2019, the National EMS Quality Alliance (NEMSQA) established a suite of 11 evidence-based EMS quality measures, yet little is known regarding EMS performance on a national level. Our objective was to describe EMS performance at a response and agency level using the National EMS Information System (NEMSIS) dataset. METHODS: The 2019 NEMSIS research dataset of all EMS 9-1-1 responses in the United States was utilized to calculate 10 of 11 NEMSQA quality measures. Measure criteria and pseudocode was implemented to calculate the proportion meeting measure criteria and 95% confidence intervals across all encounters and for each anonymized agency. We omitted Pediatrics-03b because the NEMSIS national dataset does not report patient weight. Agency level analysis was subsequently stratified by call volume and urbanicity. RESULTS: Records from 9,679 agencies responding to 26,502,968 9-1-1 events were analyzed. Run-level average performance ranged from 12% for Safety-01 (encounter documented as initial response without the use of lights and siren to 82% for Pediatrics-02 (documented respiratory assessment in pediatric patients with respiratory distress) At the agency level, significant variation in measure performance existed by agency size and by urbanicity. At the individual agency performance analysis, Trauma-04 (trauma patients transported to trauma center) had the lowest agency-level performance with 47% of agencies reporting 0% of eligible runs with documented transport to a trauma center. CONCLUSION: There is a wide range of performance in key EMS quality measures across the United States that demonstrate a need to identify strategies to improve quality and equity of care in the prehospital environment, system performance and data collection.

A Decade in Review: Trends in Female Authorship in Peer-Reviewed Toxicology Journals.

BACKGROUND: Gender diversity in both emergency medicine and medical toxicology has grown over the last decade. However, disparities in promotion, awards, and speakership still exist. No studies have examined gender disparities in authorship in medical toxicology journals. RESEARCH QUESTIONS: Does the proportion of female first authors and female senior authors in medical toxicology publications increase over time? What factors predict female authorship in the first author or last author positions in two major medical toxicology journals? METHODS: We performed a retrospective review of all non-abstract publications in two medical toxicology journals, Clinical Toxicology and Journal of Medical Toxicology, between 2011 and 2020. We collected author names, number of authors, publication type, and publication year. Author names were used to identify author gender using Gender-API integrative tool. Data on the percentages of female medical toxicology fellows and medical toxicologists was provided by the American Board of Emergency Medicine (ABEM). RESULTS: A total of 2212 publications were reviewed and 2171 (97.9%) were included in the dataset. Overall, 31.7% of first authors were identified as female and 67.0% were identified as male by the Gender-API tool. There were 46.8% male-male author dyads, 24.2% female-male author dyads, 12.1% male-female author dyads, and 5.7% female-female author dyads. Predictors of female first authorship included research and case report articles, and percentage of ABEM female toxicologists. Predictors of female senior authorship included number of authors and percentage of ABEM female toxicologists. The proportion of female authorship in both categories increased over the study period. CONCLUSIONS: The frequency of female authorship in the first author position has grown over the last decade and is associated with increasing female representation in medical toxicology and specific manuscript subtypes, specifically research manuscripts.

AiRDose: Developing and Validating an Augmented Reality Smartphone Application for Weight Estimation and Dosing in Children.

OBJECTIVES: Inaccurate weight estimation is a contributing factor to medical error in pediatric emergencies, especially in the prehospital setting. Current American Heart Association guidelines recommend the use of length-based weight estimation tools such as the Broselow tape. We developed the AiRDose smartphone application that uses augmented reality to provide length-based weight estimates, as well as medication dosing, defibrillation energy, and equipment sizing recommendations; AiRDose was programmed to use Broselow conversions to obtain these estimates. The primary objective was to compare the length estimated by AiRDose with the actual length obtained by the standard tape measure. The secondary objectives were to compare the estimated weights and critical medication doses from AiRDose with current established methods. METHODS: In this prospective validation study, lengths and estimated weights were obtained for children presenting to 2 emergency departments using AiRDose, Broselow, and a standard tape measure; actual weight was recorded from the patient chart. Using the AiRDose estimated weights, hypothetical doses of epinephrine and lorazepam were calculated and compared with doses recommended via Broselow and to actual weight-based doses. Spearman rank correlation coefficients were calculated. We defined an acceptable difference of 20% between AiRDose and standard measurements as clinically relevant. RESULTS: Five hundred forty-nine children (mean age, 4.8 years; standard deviation [SD], 2.9 years) were recruited. There were 99.6% of AiRDose lengths within a 20% difference of tape-measure lengths. There was a significant correlation between AiRDose and tape-measure length measurements (r = 0.989, P < 0.0001), and between AiRDose and Broselow weights (r = 0.983, P < 0.0001) and AiRDose and actual weights (r = 0.886, P < 0.0001). AiRDose lorazepam and epinephrine doses correlated significantly with Broselow lorazepam (r = 0.963, P < 0.0001) and epinephrine (r = 0.966, P < 0.0001) doses. CONCLUSIONS: Anthropometric estimates and medication dose recommendations provided by AiRDose strongly correlate with established techniques. Further study will establish the feasibility of using AiRDose to accurately obtain weight estimates and medication doses for pediatric patients in the prehospital setting.

Validation of a screening tool for labor and sex trafficking among emergency department patients.

OBJECTIVE: Patients with labor and sex trafficking experiences seek healthcare while and after being trafficked. Their trafficking experiences are often unrecognized by clinicians who lack a validated tool to systematically screen for trafficking. We aimed to derive and validate a brief, comprehensive trafficking screening tool for use in healthcare settings. METHODS: Patients were randomly selected to participate in this prospective study based on time of arrival. Data collectors administered 5 dichotomous index questions and a reference standard trafficking assessment tool that requires 30 to 60 minutes to administer. Data collection was from June 2016 to January 2021. Data from patients in 5 New York City (NYC) emergency departments (EDs) were used for tool psychometric derivation, and data from patients in a Fort Worth ED were used for external validation. Clinically stable ED adults (aged ≥18 years) were eligible to participate. Candidate questions were selected from the Trafficking Victim Identification Tool (TVIT). The study outcome measurement was a determination of a participant having a lifetime experience of labor and/or sex trafficking based on the interpretation of the reference standard interview, the TVIT. RESULTS: Overall, 4127 ED patients were enrolled. In the derivation group, the reference standard identified 36 (1.1%) as positive for a labor and/or sex trafficking experience. In the validation group, 12 (1.4%) were positive by the reference standard. Rapid Appraisal for Trafficking (RAFT) is a new 4-item trafficking screening tool: in the derivation group, RAFT was 89% sensitive (95% confidence interval [CI], 79%-99%) and 74% specific (95% CI, 73%-76%) and in the external validation group, RAFT was 100% sensitive (95% CI, 100%-100%) and 61% specific (95% CI, 56%-65%). CONCLUSIONS: The rapid, 4-item RAFT screening tool demonstrated good sensitivity compared with the existing, resource-intensive reference standard tool. RAFT may enhance the detection of human trafficking in EDs. Additional multicenter studies and research on RAFT's implementation are needed.

System Level Informatics to Improve Triage Practices for Sickle Cell Disease Vaso-Occlusive Crisis: A Cluster Randomized Controlled Trial.

BACKGROUND: National Heart Lung and Blood Institute guidelines for the treatment of vaso-occlusive crisis among people with sickle cell disease in the emergency department recommend assigning an emergency severity index of 2 at triage. However, patients with sickle cell disease often do not receive guideline-concordant care at triage. To address this gap, a decision support tool was developed, in the form of a text banner on the triage page in the electronic health record system, visible to triage nurses. METHODS: A prospective quality improvement initiative was designed where the emergency severity index clinical decision support tool was deployed to a stratified random sample of emergency department triage nurses to receive the banner (n = 24) or not to receive the banner (n = 27), reminding them to assign the patient to emergency severity index category 2. The acceptability of the emergency severity index clinical decision support tool was evaluated with the Ottawa Acceptability of Decision Rules Instrument. Descriptive and bivariate (chi-square test) statistics were used to characterize the study's primary outcome, proportion of visits assigned an emergency severity index of 2 or higher. A generalized linear mixed model with clustering at the level of the triage nurse was performed to test the association between the banner intervention and triage practices. RESULTS: A total of 384 ED visits were included for analysis. Before study initiation, the percentage of sickle cell disease patients' visits with the proper emergency severity index assignment at triage was 37.04%. After initiation, the proportion of sickle cell disease patients' visits with an emergency severity index of 2 or higher triaged by nurses in the intervention group was markedly higher in the intervention group than in the control group (64.95% vs 35.05%; χ2 = 8.79, P ≤ .003). Accounting for clustering by nurse, the odds ratio for proper triage emergency severity index assignment was 3.22 (95% confidence interval 1.17-8.85; P ≤ .02) for the intervention versus control. Surveyed triage nurses reported the emergency severity index clinical decision support tool to be moderately acceptable (nurses' mean Ottawa Acceptability of Decision Rules Instrument scores ranged from 4.13 to 4.90 on the 6-point scale; n = 11). There were no differences in ED experience outcomes including time to first analgesic or length of stay between the control and intervention groups. CONCLUSION: Substantial improvements in triage guideline concordance were achieved and sustained without direct nursing education.

Prevalence of Intracranial Injury in Adult Patients With Blunt Head Trauma With and Without Anticoagulant or Antiplatelet Use.

STUDY OBJECTIVE: We determine the prevalence of significant intracranial injury among adults with blunt head trauma who are receiving preinjury anticoagulant or antiplatelet medications. METHODS: This was a multicenter, prospective, observational study conducted from December 2007 to December 2015. Patients were enrolled in 3 emergency departments (EDs) in the United States. Adults with blunt head trauma who underwent neuroimaging in the ED were included. Use of preinjury aspirin, clopidogrel, and warfarin was recorded. Data on direct oral anticoagulants were not specifically recorded. The primary outcome was prevalence of significant intracranial injury on neuroimaging. The secondary outcome was receipt of neurosurgical intervention. RESULTS: Among 9,070 patients enrolled in this study, the median age was 53.8 years (interquartile range 34.7 to 74.3 years) and 60.7% were men. A total of 1,323 patients (14.6%) were receiving antiplatelet medications or warfarin, including 635 receiving aspirin alone, 109 clopidogrel alone, and 406 warfarin alone. Compared with that of patients without any coagulopathy, the relative risk of significant intracranial injury was 1.29 (95% confidence interval [CI] 0.88 to 1.87) for patients receiving aspirin alone, 0.75 (95% CI 0.24 to 2.30) for those receiving clopidogrel alone, and 1.88 (95% CI 1.28 to 2.75) for those receiving warfarin alone. The relative risk of significant intracranial injury was 2.88 (95% CI 1.53 to 5.42) for patients receiving aspirin and clopidogrel in combination. CONCLUSION: Patients receiving preinjury warfarin or a combination of aspirin and clopidogrel were at increased risk for significant intracranial injury, but not those receiving aspirin alone. Clinicians should have a low threshold for neuroimaging when evaluating patients receiving warfarin or a combination of aspirin and clopidogrel.

Building RAFT: Trafficking Screening Tool Derivation and Validation Methods.

BACKGROUND: Labor and sex trafficking have long impacted the patients who seek care in emergency departments (ED) across the United States. Increasing social and legislative pressures have led to multiple calls for screening for trafficking in the clinical care setting, but adoption of unvalidated screening tools for trafficking recognition is unwise for individual patient care and population-level data. Development of a valid screening tool for a social malady that is largely "invisible" to most clinicians requires significant investments. Valid screening tool development is largely a poorly understood process in the antitrafficking field and among clinicians who would use the tools. METHODS: The authors describe the study design and procedures for reliable data collection and analysis in the development of RAFT (Rapid Appraisal for Trafficking). In a five-ED, randomized, prospective study, RAFT will be derived and validated as a labor and sex trafficking screening tool for use among adult ED patients. Using a novel method of ED patient-participant randomization, intensively trained data collectors use qualitative data to assess subjects for a lifetime experience of human trafficking. CONCLUSION: Study methodology transparency encourages investigative rigor and integrity and will allow other sites to reproduce and externally validate this study's findings.

Noninvasive Ventilation for Critically Ill Subjects With Acute Respiratory Failure in the Emergency Department.

BACKGROUND: We aimed to investigate the association between noninvasive ventilation (NIV) initiated in the emergency department and patient outcomes for those requiring invasive mechanical ventilation so that we could understand the effect of extended NIV use (ie, > 4 h) prior to invasive mechanical ventilation on patient outcomes. METHODS: We conducted a retrospective single-center cohort study at an academic tertiary care hospital center. All emergency department patients with acute respiratory failure requiring invasive mechanical ventilation and admission to the ICU within 48 h of initial presentation over a 24-month period were included. RESULTS: Subject characteristics, ventilator parameters, and clinical course were captured via electronic query, respiratory billing data, and standardized chart abstraction. A total of 431 subjects with acute respiratory failure requiring invasive mechanical ventilation within 48 h of arrival were identified, of whom 115 (26.7%) were exposed to NIV prior to invasive mechanical ventilation, with a median duration of 4 h (interquartile range 1.9-9.3). Based on a multivariable model controlling for covariates, any NIV exposure prior to invasive mechanical ventilation was not associated with an increased odds of persistent organ dysfunction or death. However, in the subset of subjects exposed to NIV, extended NIV use (ie, > 4 h) prior to invasive mechanical ventilation was associated with increased odds of persistent organ dysfunction or death (odds ratio 4.11, 95% CI 1.51-11.19). Extended NIV use was also associated with increased odds of in-hospital mortality (odds ratio 4.02, 95% CI 1.51-10.74). CONCLUSIONS: Although any exposure to NIV prior to invasive mechanical ventilation did not appear to affect morbidity and mortality, extended NIV use prior to invasive mechanical ventilation was associated with worse patient outcomes, suggesting a need for additional study to better understand the ramifications of duration of NIV use prior to failure on outcomes. Given this early timeframe for intervention, future studies should be collaborations between the emergency department and ICU.

Expanding Health Information Exchange Improves Identification of Frequent Emergency Department Users.

STUDY OBJECTIVE: Frequent emergency department (ED) users are of interest to policymakers and hospitals. The objective of this study is to examine the effect of health information exchange size on the identification of frequent ED users. METHODS: We retrospectively analyzed data from Healthix, a health information exchange in New York that previously included 10 hospitals and then grew to 31 hospitals. We divided patients into 3 cohorts: high-frequency ED users with 4 or more visits in any 30-day period, medium-frequency ED users with 4 or more visits in any year, and infrequent ED users with fewer than 4 visits in any year. For both the smaller (10-hospital) and larger (31-hospital) health information exchanges, we compared the identification rate of frequent ED users that was based on hospital-specific data with the corresponding rates that were based on health information exchange data. RESULTS: The smaller health information exchange (n=1,696,279 unique ED patients) identified 11.4% more high-frequency users (33,467 versus 30,057) and 9.5% more medium-frequency users (109,497 versus 100,014) than the hospital-specific data. The larger health information exchange (n=3,684,999) identified 19.6% more high-frequency patients (52,727 versus 44,079) and 18.2% more medium-frequency patients (222,574 versus 192,541) than the hospital-specific data. Expanding from the smaller health information exchange to the larger one, we found an absolute increase of 8.2% and 8.7% identified high- and medium-frequency users, respectively. CONCLUSION: Increasing health information exchange size more accurately reflects how patients access EDs and ultimately improves not only the total number of identified frequent ED users but also their identification rate.

Mapping of HIE CT terms to LOINC®: analysis of content-dependent coverage and coverage improvement through new term creation.

Objective: We describe and evaluate the mapping of computerized tomography (CT) terms from 40 hospitals participating in a health information exchange (HIE) to a standard terminology. Methods: Proprietary CT exam terms and corresponding exam frequency data were obtained from 40 participant HIE sites that transmitted radiology data to the HIE from January 2013 through October 2015. These terms were mapped to the Logical Observations Identifiers Names and Codes (LOINC®) terminology using the Regenstrief LOINC mapping assistant (RELMA) beginning in January 2016. Terms without initial LOINC match were submitted to LOINC as new term requests on an ongoing basis. After new LOINC terms were created, proprietary terms without an initial match were reviewed and mapped to these new LOINC terms where appropriate. Content type and token coverage were calculated for the LOINC version at the time of initial mapping (v2.54) and for the most recently released version at the time of our analysis (v2.63). Descriptive analysis was performed to assess for significant differences in content-dependent coverage between the 2 versions. Results: LOINC's content type and token coverages of HIE CT exam terms for version 2.54 were 83% and 95%, respectively. Two-hundred-fifteen new LOINC CT terms were created in the interval between the releases of version 2.54 and 2.63, and content type and token coverages, respectively, increased to 93% and 99% (P < .001). Conclusion: LOINC's content type coverage of proprietary CT terms across 40 HIE sites was 83% but improved significantly to 93% following new term creation.

National Assessment of Quality Programs in Emergency Medical Services.

OBJECTIVE: This study aims to understand the adoption of clinical quality measurement throughout the United States on an EMS agency level, the features of agencies that do participate in quality measurement, and the level of physician involvement. It also aims to barriers to implementing quality improvement initiatives in EMS. METHODS: A 46-question survey was developed to gather agency level data on current quality improvement practices and measurement. The survey was distributed nationally via State EMS Offices to EMS agencies nation-wide using Surveymonkey©. A convenience sample of respondents was enrolled between August and November, 2015. Univariate, bivariate and multiple logistic regression analyses were conducted to describe demographics and relationships between outcomes of interest and their covariates using SAS 9.3©. RESULTS: A total of 1,733 surveys were initiated and 1,060 surveys had complete or near-complete responses. This includes agencies from 45 states representing over 6.23 million 9-1-1 responses annually. Totals of 70.5% (747) agencies reported dedicated QI personnel, 62.5% (663) follow clinical metrics and 33.3% (353) participate in outside quality or research program. Medical director hours varied, notably, 61.5% (649) of EMS agencies had <5 hours of medical director time per month. Presence of medical director time was correlated with tracking of QI measures. Air medical [OR 9.64 (1.13, 82.16)] and hospital-based EMS agencies [OR 2.49 (1.36, 4.59)] were more likely to track quality measures compared to fire-based agencies. Agencies in rural only environments were less likely to follow clinical quality metrics. (OR 0.47 CI 0.31 -0.72 p < 0.0004). For those that track QI measures, the most common are; Response Time (Emergency) (68.3%), On-Scene Time (66.4%), prehospital stroke screen (64.6%), aspirin administration (64.5%), and 12 lead ECG in chest pain patients (63.0%). CONCLUSIONS: EMS agencies in the United States have significant practice variability with regard to quality improvement resources, medical direction and specific clinical quality measures. More research is needed to understand the impact of this variation on patient care outcomes.

Bouncing Back Elsewhere: Multilevel Analysis of Return Visits to the Same or a Different Hospital After Initial Emergency Department Presentation.

STUDY OBJECTIVE: Analyses of 72-hour emergency department (ED) return visits are frequently used for quality assurance purposes and have been proposed as a means of measuring provider performance. These analyses have traditionally examined only patients returning to the same hospital as the initial visit. We use a health information exchange network to describe differences between ED visits resulting in 72-hour revisits to the same hospital and those resulting in revisits to a different site. METHODS: We examined data from a 31-hospital health information exchange of all ED visits during a 5-year period to identify 72-hour return visits and collected available encounter, patient, and hospital variables. Next, we used multilevel analysis of encounter-level, patient-level, and hospital-level data to describe differences between initial ED visits resulting in different-site and same-site return visits. RESULTS: We identified 12,621,159 patient visits to the 31 study EDs, including 841,259 same-site and 107,713 different-site return visits within 72 hours of initial ED presentation. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) for the initial-visit characteristics' predictive relationship that any return visit would be at a different site: daytime visit (OR 1.10; 95% CI 1.07 to 1.12), patient-hospital county concordance (OR 1.40; 95% CI 1.36 to 1.44), male sex (OR 1.27; 95% CI 1.24 to 1.30), aged 65 years or older (OR 0.55; 95% CI 0.53 to 0.57), sites with an ED residency (OR 0.41; 95% CI 0.40 to 0.43), sites at an academic hospital (OR 1.12; 95% CI 1.08 to 1.15), sites with high density of surrounding EDs (OR 1.73; 95% CI 1.68 to 1.77), and sites with a high frequency of same-site return visits (OR 0.10; 95% CI 0.10 to 0.11). CONCLUSION: This analysis describes how ED encounters with early revisits to the same hospital differ from those with revisits to a second hospital. These findings challenge the use of single-site return-visit frequency as a quality measure, and, more constructively, describe how hospitals can use health information exchange to more accurately identify early ED return visits and to support programs related to these revisits.

Standard Anatomic Terminologies: Comparison for Use in a Health Information Exchange-Based Prior Computed Tomography (CT) Alerting System.

BACKGROUND: A health information exchange (HIE)-based prior computed tomography (CT) alerting system may reduce avoidable CT imaging by notifying ordering clinicians of prior relevant studies when a study is ordered. For maximal effectiveness, a system would alert not only for prior same CTs (exams mapped to the same code from an exam name terminology) but also for similar CTs (exams mapped to different exam name terminology codes but in the same anatomic region) and anatomically proximate CTs (exams in adjacent anatomic regions). Notification of previous same studies across an HIE requires mapping of local site CT codes to a standard terminology for exam names (such as Logical Observation Identifiers Names and Codes [LOINC]) to show that two studies with different local codes and descriptions are equivalent. Notifying of prior similar or proximate CTs requires an additional mapping of exam codes to anatomic regions, ideally coded by an anatomic terminology. Several anatomic terminologies exist, but no prior studies have evaluated how well they would support an alerting use case. OBJECTIVE: The aim of this study was to evaluate the fitness of five existing standard anatomic terminologies to support similar or proximate alerts of an HIE-based prior CT alerting system. METHODS: We compared five standard anatomic terminologies (Foundational Model of Anatomy, Systematized Nomenclature of Medicine Clinical Terms, RadLex, LOINC, and LOINC/Radiological Society of North America [RSNA] Radiology Playbook) to an anatomic framework created specifically for our use case (Simple ANatomic Ontology for Proximity or Similarity [SANOPS]), to determine whether the existing terminologies could support our use case without modification. On the basis of an assessment of optimal terminology features for our purpose, we developed an ordinal anatomic terminology utility classification. We mapped samples of 100 random and the 100 most frequent LOINC CT codes to anatomic regions in each terminology, assigned utility classes for each mapping, and statistically compared each terminology's utility class rankings. We also constructed seven hypothetical alerting scenarios to illustrate the terminologies' differences. RESULTS: Both RadLex and the LOINC/RSNA Radiology Playbook anatomic terminologies ranked significantly better (P<.001) than the other standard terminologies for the 100 most frequent CTs, but no terminology ranked significantly better than any other for 100 random CTs. Hypothetical scenarios illustrated instances where no standard terminology would support appropriate proximate or similar alerts, without modification. CONCLUSIONS: LOINC/RSNA Radiology Playbook and RadLex's anatomic terminologies appear well suited to support proximate or similar alerts for commonly ordered CTs, but for less commonly ordered tests, modification of the existing terminologies with concepts and relations from SANOPS would likely be required. Our findings suggest SANOPS may serve as a framework for enhancing anatomic terminologies in support of other similar use cases.

The role of reduced heart rate volatility in predicting disposition from the emergency department.

OBJECTIVE: Heart rate volatility (HRVO) is a physiological parameter that is believed to reflect the sympathetic activity of the autonomic nervous system. We explored the utility of HRVO as a predictive tool for declining physiological states, hypothesising that patients admitted from the resuscitation area of the ED to a high-dependency unit (HDU) experience low HRVO compared with patients who did not. METHODS: We retrospectively reviewed HR data recordings, medical charts and disposition decisions from the ED of patients who were admitted to the five resuscitation beds in our adult ED between 29 April 2014 and 30 May 2015. HRVO was calculated for each 5 min interval; it was measured as the SD of all HRs within that interval. Logistic regression was used to model the odds of admission to a HDU given low HRVO during ED stay. RESULTS: HR data from 2051 patients was collected and approximately 7 million HR data points were analysed. 402 patients experienced low HRVO. Patients who experienced low HRVO during their ED stay were twice as likely to be admitted to a HDU from the ED (OR=2.07, 95% CI 1.64 to 2.60; p<0.001). CONCLUSIONS: Our result provides additional evidence supporting previously published data indicating that autonomic nervous system measures such as HRVO could serve as important and useful clinical tools in the early triage of critically ill patients in the ED.

Patient Perspectives on EMS Alternate Destination Models.

INTRODUCTION: Studies have shown that a large number of ambulance transports to emergency departments (ED) could have been safely treated in an alternative environment, prompting interest in the development of more patient-centered models for prehospital care. We examined patient attitudes, perspectives, and agreement/comfort with alternate destinations and other proposed innovations in Emergency Medical Services (EMS) care delivery and determined whether demographic, socioeconomic, acuity, and EMS utilization history factors impact levels of agreement. METHODS: We conducted a cross-sectional study on a convenience sample of patients and caregivers presenting to an urban academic ED between July 2012 and May 2013. Respondents were surveyed on levels of agreement with 13 statements corresponding to various aspects of a proposed patient-centered emergency response system including increased EMS access to healthcare records, shared decision making with the patient and/or primary care physician, transport to alternative destinations, and relative importance of EMS assessment versus transportation. Information on demographic and socioeconomic factors, level of acuity, and EMS utilization history were also determined via survey and chart review. Responses were analyzed descriptively and compared across patient characteristics using chi-square and regression analyses. RESULTS: A total of 621 patients were enrolled. The percentage of patients who agreed or strongly agreed with each of the 13 statements ranged from 48.2 to 93.8%. About 86% agreed with increased EMS access to healthcare records; approximately 72% agreed with coordinating disposition decisions with a primary physician; and about 58% supported transport to alternative destinations for low acuity conditions. No association was found between levels of agreement and the patient's level of acuity or EMS utilization history. Only Black or Hispanic race showed isolated associations with lower rates of agreement with some aspects of an innovative EMS care delivery model. CONCLUSION: A substantial proportion of patients surveyed in this cross sectional study agreed with a more patient-centered approach to prehospital care where a 9-1-1 call could be met with a variety of treatment and transportation options. Agreement was relatively consistent among a diverse group of patients with varying demographics, levels of acuity and EMS utilization history. MeSH Key words: emergency medical services; triage; telemedicine; surveys and questionnaires; transportation of patients.

Increased Identification of Emergency Department 72-hour Returns Using Multihospital Health Information Exchange.

OBJECTIVES: Emergency departments (EDs) commonly analyze cases of patients returning within 72 hours of initial ED discharge as potential opportunities for quality improvement. In this study, we tested the use of a health information exchange (HIE) to improve identification of 72-hour return visits compared to individual hospitals' site-specific data. METHODS: We collected deidentified patient data over a 5-year study period from Healthix, an HIE in the New York metropolitan area. We measured site-specific 72-hour ED returns and compared these data to those obtained from a regional 31-site HIE (Healthix) and to those from a smaller, antecedent 11-site HIE. Although only ED visits were counted as index visits, either ED or inpatient revisits within 72 hours of the index visit were considered as early returns. RESULTS: A total of 12,669,657 patient encounters were analyzed across the 31 HIE EDs, including 6,352,829 encounters from the antecedent 11-site HIE. Site-specific 72-hour return visit rates ranged from 1.1% to 15.2% (median = 5.8%) among the individual 31 sites. When the larger HIE was used to identify return visits to any site, individual EDs had a 72-hour return frequency of 1.8% to 15.5% (median = 6.8%). HIE increased the identification ability of 72-hour ED return analyses by a mean of 11.16% (95% confidence interval = 11.10% to 11.22%) compared with site-specific (no HIE) analyses. CONCLUSION: This analysis demonstrates incremental improvements in our ability to identify early ED returns using increasing levels of HIE data aggregation. Although intuitive, this has not been previously described using HIE. ED quality measurement and patient safety efforts may be aided by using HIE in 72-hour return analyses.

Coping Behavior and Risk of Post-Traumatic Stress Disorder Among Federal Disaster Responders.

BACKGROUND: Our knowledge about the impact of coping behavior styles in people exposed to stressful disaster events is limited. Effective coping behavior has been shown to be a psychosocial stress modifier in both occupational and nonoccupational settings. METHODS: Data were collected by using a web-based survey that administered the Post-Traumatic Stress Disorder (PTSD) Checklist-Civilian, General Coping Questionnaire-30, and a supplementary questionnaire assessing various risk factors. Logistic regression models were used to test for the association of the 3 coping styles with probable PTSD following disaster exposure among federal disaster responders. RESULTS: In this sample of 549 study subjects, avoidant coping behavior was most associated with probable PTSD. In tested regression models, the odds ratios ranged from 1.19 to 1.26 and 95% confidence intervals ranged from 1.08 to 1.35. With control for various predictors, emotion-based coping behavior was also found to be associated with probable PTSD (odds ratio=1.11; 95% confidence interval: 1.01-1.22). CONCLUSION: This study found that in disaster responders exposed to traumatic disaster events, the likelihood of probable PTSD can be influenced by individual coping behavior style and other covariates. The continued probability of disasters underscores the critical importance of these findings both in terms of guiding mental health practitioners in treating exposed disaster responders and in stimulating future research.

The mental health consequences of terrorism: implications for emergency medicine practitioners.

Emergency physicians are likely to be first-line responders in any local or regional terrorist event. In addition to preparing for the potential physical conditions and injuries that are associated with terrorism, they should be aware of the behavioral and mental health implications as well. It is helpful to be familiar with the characteristics that predict who may be at increased risk for mental illness after such events and how they may be identified in an Emergency Department setting. Although most people in the general population with behavioral conditions stemming from a terrorist event can be expected to recover spontaneously within several months, other individuals are at increased risk of developing more debilitating mental health conditions that have been associated with post-terrorist and disaster environments. Screening tools are available to help emergency practitioners identify them and refer patients for more formal psychiatric evaluation and potential interventions to facilitate and speed the recovery process.