scholarly journals Comparative Analysis of Pedestrian Injuries using Police, Emergency Department, and Death Certificate Data Sources in North Carolina, U.S., 2007–2012

Author(s):  
Laura S. Sandt ◽  
Scott K. Proescholdbell ◽  
Kelly R. Evenson ◽  
Whitney R. Robinson ◽  
Daniel A. Rodríguez ◽  
...  

Pedestrian safety programs are needed to address the rising incidence of pedestrian fatalities. Unfortunately, most communities lack comprehensive information on the circumstances of pedestrian crashes and resulting injuries that could help guide decision-making for prevention program development and implementation. This study aimed to evaluate how three commonly available data sources (police-reported pedestrian crashes, emergency department [ED] visits, and death certificates) define and capture pedestrian injury data, and to compare the distribution of pedestrian injuries and fatalities across these data sources. Existing state-wide data sources in North Carolina, U.S.A.,—police-reported pedestrian crashes, ED visits, and death certificates—were used to perform a descriptive analysis of temporal and demographic pedestrian injury severity distributions for a 6-year period (2007–2012). After excluding non-relevant cases, there were 12,646 police-reported pedestrian crashes, 17,369 pedestrian-injury-related ED visits, and 993 pedestrian-related death certificate cases. Pedestrian injury distributions appeared similar across the three data sets in relation to pedestrian sex, age, and temporality. Police data (which represented crashes rather than all pedestrians involved in a crash) likely underrepresented pedestrian injury incidence, while ED data (which represented ED visits, with multiple visits per person possible) likely overrepresented pedestrian injury incidence. The study provides a better understanding of the discrepancies between pedestrian injury data sources and key considerations when using police, ED, and death certificate data for surveillance or injury prevention efforts.

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Katherine Harmon ◽  
Amy Ising ◽  
Laura Sandt ◽  
Anna E. Waller

ObjectiveTo evaluate four ICD-10-CM based case definitions designed to capture pedestrian and bicycle crash-related emergency department (ED) visits in North Carolina’s statewide syndromic surveillance system, NC DETECT.IntroductionOver the last few decades, the United States has made considerable progress in decreasing the incidence of motor vehicle occupants injured and killed in traffic collisions.1 However, there is still a need for continued motor vehicle crash (MVC) injury surveillance, particularly for vulnerable road users, such as pedestrians and bicyclists. In NC, the average annual number of pedestrian-motor vehicle crashes increased by 13.5 percent during the period 2011-2015, as compared to 2006-2010.2 Therefore, the Carolina Center for Health Informatics (CCHI), as part of a NC Governor’s Highway Safety Program-funded project to improve statewide MVC injury surveillance, developed and evaluated four ICD-10-CM based case definitions for use with NC DETECT, NC’s statewide syndromic surveillance system.MethodsWe created four pedestrian/bicycle crash injury case definitions based on ICD-10-CM transportation codes (“V-codes”): Traffic-Related Pedestrian Crashes, Traffic/Non-Traffic-Related Pedestrian Crashes, Traffic-Related Bicycle Crashes, and Traffic/Non-Traffic-Related Bicycle Crashes. These definitions were based on the Centers for Disease Control and Prevention (CDC) “ICD-10-CM External Cause of Injury Codes”.3 We then applied these pedestrian/bicycle crash case definitions to 2016-2017 NC DETECT ED visit data and data obtained from a single NC Level I Trauma Center. Next, we linked the two data sources using the variables date of visit, time of visit, and medical record number. Since trauma center data are collected and verified by a designated trauma registrar, we considered the data obtained from the Level I Trauma Center to be the “gold standard”.ResultsThe linkage between the two data sources was successful, with 99.5% of all Level I Trauma Center records linking to ED visits in NC DETECT. However, we found discrepancies in the assignment of codes between the ED visit and Trauma Center data. For example, 47.5% of NC DETECT ED visits that linked to a pedestrian/bicycle crash record in the Trauma Center data, were missing an ICD-10-CM injury mechanism code of any category. Historically, the proportion of injury-related ED visits that were missing corresponding injury mechanism codes was low (<15%). However, the transition from ICD-9-CM to ICD-10-CM increased the proportion of injury-related visits missing injury mechanism codes.4 Among the 92 NC DETECT ED visits missing injury mechanism codes, 35.9% contained a pedestrian/bicycle crash-related keyword in the Chief Complaint or Triage Note.Among the 100 linked records with valid ICD-10-CM injury mechanism codes, the percent agreement between the two data sources on whether the ED visit was a “pedestrian” or “bicycle” crash was 54.4% and 71.9%, respectively. Percent agreement decreased for “traffic” and “non-traffic” designations, however. The most common V-code assigned to misclassified pedestrian/bicycle crashes in the NC DETECT ED visit data was “V87.7XXA-Person injured in a collision between other specified motor vehicles (traffic)”.Although the linkage study used data obtained from only a single Level I Trauma Center and primarily a single facility in NC DETECT, we felt that the results of this limited linkage study were generalizable to statewide NC DETECT ED visit data. For example, many facilities in NC DETECT underreport injury mechanism codes. Therefore, we added pedestrian/bicycle crash injury-related keywords to the Traffic/Non-Traffic Pedestrian/Bicycle Crash Injury case definitions (Table 1). After inclusion of these keywords, the number of identified pedestrian and bicycle crash injury-related ED visits identified in NC DETECT increased by 16.9% and 57.9% from January-June 2018, respectively (Figure 1).ConclusionsPedestrian and bicycle crashes represent a major cause of MVC injury morbidity and mortality. Therefore, the development and evaluation of case definitions is key for the successful surveillance of these types of injuries. The inclusion of keywords can help account for some of the injury mechanism data missingness common to ED surveillance systems.References1.NHTSA. Traffic Safety Facts 2015. DOT HS 812 384. Washington, DC: US Department of Transportation; 2017. https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812384. Accessed Sept 12, 2018.2.Thomas L, Vann, M, Levitt D. North Carolina Pedestrian Crash Trends and Facts 2011-2015. RP 2017-42. Chapel Hill, NC: University of North Carolina Highway Safety Research Center; 2018. http://www.pedbikeinfo.org/pbcat_nc/pdf/summary_ped_facts11-15.pdf. Accessed Sept 12, 2018.3.NCIPC. Help and Tools for Injury Data; Atlanta, GA: CDC 2018. https://www.cdc.gov/injury/wisqars/dataandstats.html. Accessed Sept 12, 2018.4.Harmon K, Barnett C, Marshall S, Waller A. Implementing the External Cause Matrix for Injury Morbidity – North Carolina Emergency Department Data – January 2015 – May 2015. Chapel Hill, NC: Carolina Center for Health Informatics and the Injury Prevention Research Center; 2016. https://ncdetect.org/files/2017/03/ICD10CCMExternalCauseMatrixImplementation_NCSQI_201607.pdf. Accessed Sept 12, 2018.


2021 ◽  
Vol 8 (1) ◽  
pp. 18-28
Author(s):  
Paula Tanabe ◽  
Audrey L. Blewer ◽  
Emily Bonnabeau ◽  
Hayden B. Bosworth ◽  
Denise H. Clayton ◽  
...  

Background: Sickle cell disease (SCD) is a genetic condition affecting primarily individuals of African descent, who happen to be disproportionately impacted by poverty and who lack access to health care. Individuals with SCD are at high likelihood of high acute care utilization and chronic pain episodes. The multiple complications seen in SCD contribute to significant morbidity and premature mortality, as well as substantial costs to the healthcare system. Objectives: SCD is a complex chronic disease resulting in the need for primary, specialty and emergency care. Many providers do not feel prepared to care for individuals with SCD, despite the existence of evidence-based guidelines. We report the development of a SCD toolbox and the dissemination process to primary care and emergency department (ED) providers in North Carolina (NC). We report the effect of this dissemination on health-care utilization, cost of care, and overall cost-benefit. Methods: The SCD toolbox was adapted from the National Heart, Lung, and Blood Institute recommendations. Toolbox training was provided to quality improvement specialists who then disseminated the toolbox to primary care providers (PCPs) affiliated with the only NC managed care coordination system and ED providers. Tools were made available in paper, online, and in app formats to participating managed care network practices (n=1800). Medicaid claims data were analyzed for total costs and benefits of the toolbox dissemination for a 24-month pre- and 18-month post-intervention period. Results: There was no statistically significant shift in the number of outpatient specialty visits, ED visits or hospitalizations. There was a small decrease in the number of PCP visits in the post-implementation period. The dissemination resulted in a net cost-savings of $361 414 ($14.03 per-enrollee per-month on average). However, the estimated financial benefit associated with the dissemination of the SCD toolbox was not statistically significant. Conclusions: Although we did not find the expected shift to increased PCP visits and decreased ED visits and hospitalizations, there were many lessons learned.


Author(s):  
Kristen N. Cowan ◽  
Audrey F. Pennington ◽  
Kanta Sircar ◽  
W. Dana Flanders

Abstract Objective: Previous research suggests that people with asthma may experience a worsening of symptoms following hurricanes due to changes in environmental exposures, discontinuity in chronic disease management, and stress. The objective of this study was to estimate changes in asthma-related emergency department (ED) visits in North Carolina following Hurricane Irene, which made landfall in August 2011. Methods: Changes in asthma-related ED visits in September to December of 2010 and 2011 were examined using data from the Healthcare Cost and Utilization Project State Emergency Department and Inpatient Databases. A Poisson generalized linear model was used to estimate the association between Federal Emergency Management Agency disaster declarations following Hurricane Irene and county-level asthma-related ED visits controlling for month, year, and county. Results: Following Hurricane Irene, disaster declarations were made for 38 of 100 counties in North Carolina. In September 2010, the rate of asthma-related ED visits for North Carolina was 6 per 10,000 person-months. In September 2011, rates of asthma-related ED visits were similar in counties with and without disaster declarations (7 and 5 per 10,000 person-months, respectively). When adjusting for covariates, there was little or no difference in the rate of asthma ED visits before and after the hurricane between counties with and without a disaster declaration (rate ratio {RR} [95% confidence interval {CI}] = 1.02[0.97, 1.08]). Conclusions: Although risk factors for asthma exacerbations increase following hurricanes, these results found little evidence of an increase in asthma-related ED visits in North Carolina following Hurricane Irene.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Anna Waller ◽  
Dylan DeLisle ◽  
Katherine Wolff ◽  
Katherine Jean Harmon ◽  
Amy Ising

ObjectiveTo identify potential emergency department (ED) visits prior to suicide deaths in North Carolina (NC) and describe pre-suicide care-seeking in EDs.IntroductionSuicide is a leading cause of mortality in the United States, causing about 45,000 deaths annually1. Research suggests that universal screening in health care settings may be beneficial for prevention, but few studies have combined detailed suicide circumstances with ED encounter data to better understand care-seeking behavior prior to death.MethodsThis project used data from the NC Violent Death Reporting System (NC-VDRS), a repository of all violent deaths in North Carolina, and the NC Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT), which includes all visits to 24/7, acute-care, civilian, hospital-affiliated EDs in NC. We identified all suicide deaths recorded in the NC-VDRS between 1/1/2014 – 9/30/2015, and all NC DETECT ED visits between 1/1/2013 – 9/30/2015. Descriptive analyses were conducted for each data source, separately. For all NC-VDRS suicides, we identified ED visits likely made by the same individual within the 48 hours prior to death. We identified these ED visits based on the variables arrival date, sex, date of birth (DOB), county of residence, and a chief complaint consistent with self-harm/suicide; we refer to these as suicide-related ED visits. For the subset of NC-VDRS suicides with a suicide-related ED visit, made within 48 hours of death, we identified all ED visits associated with the decedent made to the same facility or healthcare system in the year prior to death. We then categorized the pre-suicide ED visits according to the primary reason healthcare was sought by the patient (e.g. mental health problem, substance abuse/overdose, pain, etc.).ResultsFrom 1/1/2014-9/30/2015, there were 2,953 suicide deaths captured in NC-VDRS data; 2,435 (82%) of these included DOB. Between 1/1/2013 – 9/30/2015, there were 13,463,345 ED visits captured by NC DETECT; 12,884,596 (96%) included DOB. For 961 suicides (32.5%), no ED visit was found with the same DOB, sex and county of residence. For the remaining 1,474 suicides, at least one ED visit was found for a patient with the same DOB, sex and county of residence and occurring on or before the date of death. For 406 suicides, a suicide-related ED visit was identified; 122 of these patients had at least one additional ED visit in the year prior to death. A total of 516 ED visits were identified for these 122 suicides, including the suicide-related ED visit, with an average of 3.2 (range: 1-25) visits.ConclusionsFor nearly a third of NC-VDRS suicides, no indication of any ED visit by a patient with the same DOB, sex, and county of residence was found. While it is likely we were unable to identify all ED visits prior to suicide, the findings from this pilot study suggest many suicide victims did not seek NC ED care in the year prior to death. Overall, a suicide-related ED visit was found for only 13.7% of NC suicides in the study period, indicating that most people who self-inflict fatal injury do not make it to an ED for care prior to death. ED visits in the year prior to death by suicide indicated a variety of diagnoses, but rarely depression or suicidality; this suggests that universal screening at ED visits would have been necessary to identify any suicide risk present. Limitations of this study include that we were unable to directly link suicide deaths and ED visits using patient identifiers. Additionally, we relied solely on secondary data used for public health surveillance and, therefore, had no access to medical record information that may have documented depression or suicidal ideation that was not coded as such. Findings from this pilot study can inform future work to identify ED visits prior to suicide.References1National Center for Injury Prevention and Control. Suicide Rising Across the US. Vital Signs, June 2018; Atlanta, GA: Centers for Disease Control and Prevention 2018. https://www.cdc.gov/vitalsigns/suicide/. Accessed Sept 25, 2018. 


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shaleen Ahmad ◽  
Iain M Carey ◽  
Tess Harris ◽  
Derek G Cook ◽  
Stephen DeWilde ◽  
...  

Abstract Background Dementia is currently the leading certified underlying cause of death in England. We assess how dementia recording on Office for National Statistics death certificates (ONS) corresponded to recording in general practice records (GP) and Hospital Episode Statistics (HES). Methods Retrospective study of deaths (2001-15) in 153 English General Practices contributing to the Clinical Practice Research Datalink, with linked ONS and HES records. Results Of 207,068 total deaths from any cause, 19,627 mentioned dementia on the death certificate with 10,253 as underlying cause; steady increases occurred from 2001 to 2015 (any mention 5.3 to 15.4 %, underlying cause 2.7 to 10 %). Including all data sources, recording of any dementia increased from 13.2 to 28.6 %. In 2015, only 53.8 % of people dying with dementia had dementia recorded on their death certificates. Among deaths mentioning dementia on the death certificate, the recording of a prior diagnosis of dementia in GP and HES rose markedly over the same period. In 2001, only 76.3 % had a prior diagnosis in GP and/or HES records; by 2015 this had risen to 95.7 %. However, over the same period the percentage of all deaths with dementia recorded in GP or HES but not mentioned on the death certificate rose from 7.9 to 13.3 %. Conclusions Dementia recording in all data sources increased between 2001 and 2015. By 2015 the vast majority of deaths mentioning dementia had supporting evidence in primary and/or secondary care. However, death certificates were still providing an inadequate picture of the number of people dying with dementia.


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Eugenia Wong ◽  
Wayne D Rosamond ◽  
Mehul D Patel ◽  
Anna Waller

Introduction: Efforts to control the COVID-19 pandemic brought sweeping social change, with stay-at-home orders and physical distancing mandates in 43 of 50 states by April 2020. Early on, isolated studies around the world described reduced hospital admissions. Reports from some US hospitals also described declines in catheterization laboratory activations, and acute myocardial infarction (AMI) and stroke admissions. However, there have been few population-based analyses of emergency department (ED) visits to verify these initial reports and describe longer term impacts of the pandemic on care seeking behavior. Hypothesis: We hypothesized that AMI and stroke ED visits in North Carolina (NC) would decrease substantially after a statewide stay-at-home order was announced on March 27, 2020. Methods: We analyzed all ED visits from January 5 to August 28, 2020 using data collected by the NC Disease Event Tracking and Epidemiologic Collection Tool, a syndromic surveillance system that automatically gathers ED data in near-real time for all EDs in NC. Counts of AMI and stroke/transient ischemic attack (TIA) were ascertained using ICD-10-CM diagnosis codes. We compared weekly 2020 ED visit data before and after NC’s stay-at-home order, and to 2019 ED visit data. Results: Overall ED volume declined by 44% in the weeks before and after the stay-at-home order ( Figure ) while the prior year’s ED volume stayed steady at ~100,000 visits per week. From January 5 to March 28, there were 593 AMI and 791 stroke/TIA visits per week on average. By April 11, ED visits reached a nadir at 426 AMI and 543 stroke/TIA visits per week, representing a 28% and 31% decrease, respectively. Since June, AMI and stroke/TIA ED visits have rebounded slightly but have yet to reach pre-pandemic levels. Conclusions: We observed swift declines in AMI and stroke/TIA ED visits following NC’s stay-at-home order. These findings potentially reflect the avoidance of medical care due to fears of COVID-19 exposure and may eventually result in higher associated case fatality.


2021 ◽  
Vol 45 ◽  
pp. 1
Author(s):  
Katja Seitz ◽  
Luc Deliens ◽  
Joachim Cohen ◽  
Cardozo Emanuel Adrian ◽  
Vilma A. Tripodoro ◽  
...  

Objective. This paper assesses the availability and quality of death certificate data in Latin America and the feasibility of using these data to study place of death and associated factors. Methods. In this comparative study, we collected examples of current official death certificates and digital data files containing information about all deaths that occurred during 1 year in 19 Latin American countries. Data were collected from June 2019 to May 2020. The records for place of death and associated variables were studied. The criteria for data quality were completeness, number of ill-defined causes of death and timeliness. Results. All 19 countries provided copies of current official death certificates and 18 of these registered the place of death. Distinguishing among hospital or other health care institution, home and other was possible for all countries. Digital data files with death certificate data were available from 12 countries and 1 region. Three countries had data considered to be of high quality and seven had data considered to be of medium quality. Categories for place of death and most of the predetermined factors possibly associated with place of death were included in the data files. Conclusions. The quality of data sets was rated medium to high in 10 countries. Hence, death certificate data make it feasible to conduct an international comparative study on place of death and the associated factors in Latin America.


2020 ◽  
pp. 1-10
Author(s):  
Brittany M. Stopa ◽  
Maya Harary ◽  
Ray Jhun ◽  
Arun Job ◽  
Saef Izzy ◽  
...  

OBJECTIVETraumatic brain injury (TBI) is a leading cause of morbidity and mortality in the US, but the true incidence of TBI is unknown.METHODSThe National Trauma Data Bank National Sample Program (NTDB NSP) was queried for 2007 and 2013, and population-based weighted estimates of TBI-related emergency department (ED) visits, hospitalizations, and deaths were calculated. These data were compared to the 2017 Centers for Disease Control and Prevention (CDC) report on TBI, which used the Healthcare Cost and Utilization Project’s National (“Nationwide” before 2012) Inpatient Sample and National Emergency Department Sample.RESULTSIn the NTDB NSP the incidence of TBI-related ED visits was 59/100,000 in 2007 and 62/100,000 in 2013. However, in the CDC report there were 534/100,000 in 2007 and 787/100,000 in 2013. The CDC estimate for ED visits was 805% higher in 2007 and 1169% higher in 2013. In the NTDB NSP, the incidence of TBI-related deaths was 5/100,000 in 2007 and 4/100,000 in 2013. In the CDC report, the incidence was 18/100,000 in both years. The CDC estimate for deaths was 260% higher in 2007 and 325% higher in 2013.CONCLUSIONSThe databases disagreed widely in their weighted estimates of TBI incidence: CDC estimates were consistently higher than NTDB NSP estimates, by an average of 448%. Although such a discrepancy may be intuitive, this is the first study to quantify the magnitude of disagreement between these databases. Given that research, funding, and policy decisions are made based on these estimates, there is a need for a more accurate estimate of the true national incidence of TBI.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Rhonda J. Rosychuk ◽  
Jeff W.N. Bachman ◽  
Anqi Chen ◽  
X. Joan Hu

Abstract Background Administrative databases offer vast amounts of data that provide opportunities for cost-effective insights. They simultaneously pose significant challenges to statistical analysis such as the redaction of data because of privacy policies and the provision of data that may not be at the level of detail required. For example, ages in years rather than birthdates available at event dates can pose challenges to the analysis of recurrent event data. Methods Hu and Rosychuk provided a strategy for estimating age-varying effects in a marginal regression analysis of recurrent event times when birthdates are all missing. They analyzed emergency department (ED) visits made by children and youth and privacy rules prevented all birthdates to be released, and justified their approach via a simulation and asymptotic study. With recent changes in data access rules, we requested a new extract of data for April 2010 to March 2017 that includes patient birthdates. This allows us to compare the estimates using the Hu and Rosychuk (HR) approach for coarsened ages with estimates under the true, known ages to further examine their approach numerically. The performance of the HR approach under five scenarios is considered: uniform distribution for missing birthdates, uniform distribution for missing birthdates with supplementary data on age, empirical distribution for missing birthdates, smaller sample size, and an additional year of data. Results Data from 33,299 subjects provided 58,166 ED visits. About 67% of subjects had one ED visit and less than 9% of subjects made over three visits during the study period. Most visits (84.0%) were made by teenagers between 13 and 17 years old. The uniform distribution and the HR modeling approach capture the main trends over age of the estimates when compared to the known birthdates. Boys had higher ED visit frequencies than girls in the younger ages whereas girls had higher ED visit frequencies than boys for the older ages. Including additional age data based on age at end of fiscal year did not sufficiently narrow the widths of potential birthdate intervals to influence estimates. The empirical distribution of the known birthdates was close to a uniform distribution and therefore, use of the empirical distribution did not change the estimates provided by assuming a uniform distribution for the missing birthdates. The HR approach performed well for a smaller sample size, although estimates were less smooth when there were very few ED visits at some younger ages. When an additional year of data is added, the estimates become better at these younger ages. Conclusions Overall the Hu and Rosychuk approach for coarsened ages performed well and captured the key features of the relationships between ED visit frequency and covariates.


2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S333-S334
Author(s):  
So Lim Kim ◽  
Angela Everett ◽  
Susan J Rehm ◽  
Steven Gordon ◽  
Nabin Shrestha

Abstract Background Outpatient parenteral antimicrobial therapy (OPAT) carries risk of vascular access complications, antimicrobial adverse effects, and worsening of infection. Both OPAT-related and unrelated events may lead to emergency department (ED) visits. The purpose of this study was to describe adverse events that result in ED visits and risk factors associated with ED visits during OPAT. Methods OPAT courses between January 1, 2013 and December 31, 2016 at Cleveland Clinic were identified from the institution’s OPAT registry. ED visits within 30 days of OPAT initiation were reviewed. Reasons and potential risk factors for ED visits were sought in the medical record. Results Among 11,440 OPAT courses during the study period, 603 (5%) were associated with 1 or more ED visits within 30 days of OPAT initiation. Mean patient age was 58 years and 57% were males. 379 ED visits (49%) were OPAT-related; the most common visit reason was vascular access complication, which occurred in 211 (56%) of OPAT-related ED visits. The most common vascular access complications were occlusion and dislodgement, which occurred in 99 and 34 patients (47% and 16% of vascular access complications, respectively). In a multivariable logistic regression model, at least one prior ED visit in the preceding year (prior ED visit) was most strongly associated with one or more ED visits during an OPAT course (OR 2.96, 95% CI 2.38 – 3.71, p-value &lt; 0.001). Other significant factors were younger age (p 0.01), female sex (p 0.01), home county residence (P &lt; 0.001), and having a PICC (p 0.05). 549 ED visits (71%) resulted in discharge from the ED within 24 hours, 18 (2%) left against medical advice, 46 (6%) were observed up to 24 hours, and 150 ED visits (20%) led to hospital admission. Prior ED visit was not associated with hospital admission among patients who visited the ED during OPAT. Conclusion OPAT-related ED visits are most often due to vascular access complications, especially line occlusions. Patients with a prior ED visit in the preceding year have a 3-fold higher odds of at least one ED visit during OPAT compared with patients without a prior ED visit. A strategy of managing occlusions at home and a focus on patients with prior ED visits could potentially prevent a substantial proportion of OPAT-related ED visits. Disclosures All authors: No reported disclosures.


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