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Ames SG, Salvi A, Lin A, Malveau S, Mann NC, Jenkins PC, Hansen M, Papa L, Schmitz S, Sabogal C, Newgard CD. Timing and causes of death to 1 year among children presenting to emergency departments. Acad Emerg Med 2024. [PMID: 38499441 DOI: 10.1111/acem.14875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/05/2023] [Accepted: 12/31/2023] [Indexed: 03/20/2024]
Abstract
BACKGROUND AND OBJECTIVES A better characterization of deaths in children following emergency care is needed to inform timely interventions. This study aimed to describe the timing, location, and causes of death to 1 year among a cohort of injured and medically ill children. METHODS We conducted a retrospective cohort study of children <18 years requiring emergency care in six states from January 1, 2012, through December 31, 2017, with follow-up through December 31, 2018, for patients who were not discharged from the emergency department (ED). In this cohort, 1-year mortality, time to death within 1 year, and causes of death were assessed from ED, inpatient, and vital status records. RESULTS There were 546,044 children during the 6-year period. The 1-year mortality rate was 2.2% (n = 1356) for injured children and 1.4% (n = 6687) for medically ill children. Matched death certificates were available for 861 (63.5%) of 1356 deaths in the injury cohort and for 4712 (70.5%) of 6687 deaths in the medical cohort. Among deaths in the injury cohort, 1274 (94.0%) occurred in the ED or hospital. The most common causes of death were motor vehicle collisions, firearm injuries, and pedestrian injuries. Among the 6687 deaths in the medical cohort, 5081 (76.0%) children died in the ED or hospital (primarily in the ED) and 1606 (24.0%) occurred after hospital discharge. The most common causes of death were sudden infant death syndrome, suffocation and drowning, and congenital conditions. CONCLUSIONS The 1-year mortality of children presenting to an ED is 2.2% for injured children and 1.4% for medically ill children with most deaths occurring in the ED. Future interventional trials, quality improvement efforts, and health policy focused in the ED could have the potential to improve outcomes of pediatric patients.
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Affiliation(s)
- Stefanie G Ames
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Apoorva Salvi
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Amber Lin
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Susan Malveau
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - N Clay Mann
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Peter C Jenkins
- Department of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Matthew Hansen
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Linda Papa
- Department of Emergency Medicine, Orlando Regional Medical Center, Orlando, Florida, USA
| | - Sabrina Schmitz
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Cesar Sabogal
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Craig D Newgard
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon, USA
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Huebinger R, Ketterer AR, Hill MJ, Mann NC, Wang RC, Montoy JCC, Osborn L, Ugalde IT. National community disparities in prehospital penetrating trauma adjusted for income, 2020-2021. Am J Emerg Med 2024; 77:183-186. [PMID: 38163413 DOI: 10.1016/j.ajem.2023.12.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 12/07/2023] [Indexed: 01/03/2024] Open
Abstract
INTRODUCTION While Black individuals experienced disproportionately increased firearm violence and deaths during the COVID-19 pandemic, less is known about community level disparities. We sought to evaluate national community race and ethnicity differences in 2020 and 2021 rates of penetrating trauma. METHODS We linked the 2018-2021 National Emergency Medical Services Information System databases to ZIP Code demographics. We stratified encounters into majority race/ethnicity communities (>50% White, Black, or Hispanic/Latino). We used logistic regression to compare penetrating trauma for each community in 2020 and 2021 to a combined 2018-2019 historical baseline. Majority Black and majority Hispanic/Latino communities were compared to majority White communities for each year. Analyses were adjusted for household income. RESULTS We included 87,504,097 encounters (259,449 penetrating traumas). All communities had increased odds of trauma in 2020 when compared to 2018-2019, but this increase was largest for Black communities (aOR 1.4, [1.3-1.4]; White communities - aOR 1.2, [1.2-1.3]; Hispanic/Latino communities - aOR 1.1. [1.1-1.2]). There was a similar trend of increased penetrating trauma in 2021 for Black (aOR 1.2, [1.2-1.3]); White (aOR 1.2, [1.1-1.2]); Hispanic/Latino (aOR 1.1, [1.1-1.1]). Comparing penetrating trauma in each year to White communities, Black communities had higher odds of trauma in all years (2018/2019 - aOR 3.0, [3.0-3.1]; 2020 - aOR 3.3, [3.3-3.4]; 2021 - aOR 3.3, [3.2-3.2]). Hispanic/Latino also had more trauma each year but to a lesser degree (2018/2019 - aOR 2.0, [2.0-2.0]; 2020 - aOR 1.8, [1.8-1.9]; 2021 - aOR 1.9, [1.8-1.9]). CONCLUSION Black communities were most impacted by increased penetrating trauma rates in 2020 and 2021 even after adjusting for income.
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Affiliation(s)
- Ryan Huebinger
- Department of Emergency Medicine, University of New Mexico, Albuquerque, NM, United States of America.
| | - Andrew R Ketterer
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center-Harvard Medical School, Boston, MA, United States of America.
| | - Mandy J Hill
- Department of Emergency Medicine, McGovern Medical School at the University of Texas Health Science Center at Houston (UTHealth), Houston, TX, United States of America.
| | - N Clay Mann
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, United States of America.
| | - Ralph C Wang
- Department of Emergency Medicine, University of California San Francisco, San Francisco, CA, United States of America.
| | - Juan Carlos C Montoy
- Department of Emergency Medicine, University of California San Francisco, San Francisco, CA, United States of America.
| | - Lesley Osborn
- Department of Emergency Medicine, University of Colorado Anschutz Medical Campus School of Medicine, Aurora, CO, United States of America.
| | - Irma T Ugalde
- Department of Emergency Medicine, McGovern Medical School at the University of Texas Health Science Center at Houston (UTHealth), Houston, TX, United States of America.
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Huebinger R, Chan HK, Mann NC, Fisher B, Karfunkle B, Bobrow B. Out-of-Hospital Intubation Trends Through the Coronavirus Disease 2019 Pandemic. Ann Emerg Med 2023; 82:763-765. [PMID: 37598333 DOI: 10.1016/j.annemergmed.2023.07.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 07/07/2023] [Accepted: 07/12/2023] [Indexed: 08/21/2023]
Affiliation(s)
- Ryan Huebinger
- Department of Emergency Medicine, McGovern Medical School, the University of Texas Health Science Center, Houston, TX; Texas Emergency Medicine Research Center, Houston, TX.
| | - Hei Kit Chan
- Department of Emergency Medicine, McGovern Medical School, the University of Texas Health Science Center, Houston, TX; Texas Emergency Medicine Research Center, Houston, TX
| | - N Clay Mann
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT
| | - Benjamin Fisher
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT
| | - Benjamin Karfunkle
- Department of Emergency Medicine, McGovern Medical School, the University of Texas Health Science Center, Houston, TX; Texas Emergency Medicine Research Center, Houston, TX
| | - Bentley Bobrow
- Department of Emergency Medicine, McGovern Medical School, the University of Texas Health Science Center, Houston, TX; Texas Emergency Medicine Research Center, Houston, TX
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Huebinger R, Chan HK, Reed J, Mann NC, Fisher B, Osborn L. National trends in prehospital penetrating trauma in 2020 and 2021. Am J Emerg Med 2023; 72:183-187. [PMID: 37544146 DOI: 10.1016/j.ajem.2023.07.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/07/2023] [Accepted: 07/10/2023] [Indexed: 08/08/2023] Open
Abstract
OBJECTIVE Prior studies identified increased penetrating trauma rates during the earlier phase of the COVID-19 pandemic, but there is limited study of penetrating trauma rates in 2021 or at a national level. We evaluated trends in prehospital encounters for penetrating trauma in 2020 and 2021 using a national database. METHODS We conducted a retrospective analysis of the National Emergency Medicinal Services (EMS) Information System (NEMSIS) combined 2018-2021 databases of prehospital encounters. We calculated penetrating trauma yearly and monthly rates with 95% confidence; both overall and for each census region. We compared trauma rates in 2020 and 2021 to combined 2018/2019. RESULTS There were 67,457 (rate of 0.30%) penetrating traumas in 2018, 86,054 (0.30%) in 2019, 95,750 (0.37%) in 2020, and 98,040 (0.34%) in 2021. Nationally, trauma rates were higher from March 2020 to July 2021 than baseline. Penetrating trauma rates from May-December 2021 were lower than May-December of 2020. All census regions similarly had increased trauma rates during from March 2020 to July 2021. CONCLUSION We identified elevated rates of trauma on 2020 that lasted until July of 2021 that was present in all US census regions.
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Affiliation(s)
- Ryan Huebinger
- McGovern Medical School at the University of Texas Health Science Center at Houston (UTHealth), Department of Emergency Medicine, Houston, TX, United States of America; Texas Emergency Medicine Research Center, Houston, TX, United States of America.
| | - Hei Kit Chan
- McGovern Medical School at the University of Texas Health Science Center at Houston (UTHealth), Department of Emergency Medicine, Houston, TX, United States of America; Texas Emergency Medicine Research Center, Houston, TX, United States of America.
| | - Justin Reed
- Cy-Fair Fire Department, Houston, TX, United States of America.
| | - N Clay Mann
- University of Utah School of Medicine, Department of Pediatrics, Salt Lake City, UT, United States of America.
| | - Benjamin Fisher
- University of Utah School of Medicine, Department of Pediatrics, Salt Lake City, UT, United States of America.
| | - Lesley Osborn
- McGovern Medical School at the University of Texas Health Science Center at Houston (UTHealth), Department of Emergency Medicine, Houston, TX, United States of America; Texas Emergency Medicine Research Center, Houston, TX, United States of America.
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Glass NE, Salvi A, Wei R, Lin A, Malveau S, Cook JNB, Mann NC, Burd RS, Jenkins PC, Hansen M, Mohr NM, Stephens C, Fallat ME, Lerner EB, Carr BG, Wall SP, Newgard CD. Association of Transport Time, Proximity, and Emergency Department Pediatric Readiness With Pediatric Survival at US Trauma Centers. JAMA Surg 2023; 158:1078-1087. [PMID: 37556154 PMCID: PMC10413216 DOI: 10.1001/jamasurg.2023.3344] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 05/25/2023] [Indexed: 08/10/2023]
Abstract
Importance Emergency department (ED) pediatric readiness is associated with improved survival among children. However, the association between geographic access to high-readiness EDs in US trauma centers and mortality is unclear. Objective To evaluate the association between the proximity of injury location to receiving trauma centers, including the level of ED pediatric readiness, and mortality among injured children. Design, Setting, and Participants This retrospective cohort study used a standardized risk-adjustment model to evaluate the association between trauma center proximity, ED pediatric readiness, and in-hospital survival. There were 765 trauma centers (level I-V, adult and pediatric) that contributed data to the National Trauma Data Bank (January 1, 2012, through December 31, 2017) and completed the 2013 National Pediatric Readiness Assessment (conducted from January 1 through August 31, 2013). The study comprised children aged younger than 18 years who were transported by ground to the included trauma centers. Data analysis was performed between January 1 and March 31, 2022. Exposures Trauma center proximity within 30 minutes by ground transport and ED pediatric readiness, as measured by weighted pediatric readiness score (wPRS; range, 0-100; quartiles 1 [low readiness] to 4 [high readiness]). Main Outcomes and Measures In-hospital mortality. We used a patient-level mixed-effects logistic regression model to evaluate the association of transport time, proximity, and ED pediatric readiness on mortality. Results This study included 212 689 injured children seen at 765 trauma centers. The median patient age was 10 (IQR, 4-15) years, 136 538 (64.2%) were male, and 127 885 (60.1%) were White. A total of 4156 children (2.0%) died during their hospital stay. The median wPRS at these hospitals was 79.1 (IQR, 62.9-92.7). A total of 105 871 children (49.8%) were transported to trauma centers with high-readiness EDs (wPRS quartile 4) and another 36 330 children (33.7%) were injured within 30 minutes of a quartile 4 ED. After adjustment for confounders, proximity, and transport time, high ED pediatric readiness was associated with lower mortality (highest-readiness vs lowest-readiness EDs by wPRS quartiles: adjusted odds ratio, 0.65 [95% CI, 0.47-0.89]). The survival benefit of high-readiness EDs persisted for transport times up to 45 minutes. The findings suggest that matching children to trauma centers with high-readiness EDs within 30 minutes of the injury location may have potentially saved 468 lives (95% CI, 460-476 lives), but increasing all trauma centers to high ED pediatric readiness may have potentially saved 1655 lives (95% CI, 1647-1664 lives). Conclusions and Relevance These findings suggest that trauma centers with high ED pediatric readiness had lower mortality after considering transport time and proximity. Improving ED pediatric readiness among all trauma centers, rather than selective transport to trauma centers with high ED readiness, had the largest association with pediatric survival. Thus, increased pediatric readiness at all US trauma centers may substantially improve patient outcomes after trauma.
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Affiliation(s)
- Nina E. Glass
- Department of Surgery, Rutgers New Jersey Medical School, Newark
| | - Apoorva Salvi
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Ran Wei
- School of Public Policy, University of California, Riverside
| | - Amber Lin
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Susan Malveau
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Jennifer N. B. Cook
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - N. Clay Mann
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City
| | - Randall S. Burd
- Division of Trauma and Burn Surgery, Center for Surgical Care, Children’s National Hospital, Washington, DC
| | - Peter C. Jenkins
- Department of Surgery, Indiana University School of Medicine, Indianapolis
| | - Matthew Hansen
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Nicholas M. Mohr
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City
| | | | - Mary E. Fallat
- Department of Surgery, University of Louisville School of Medicine, Norton Children’s Hospital, Louisville, Kentucky
| | - E. Brooke Lerner
- Department of Emergency Medicine, University at Buffalo, Buffalo, New York
| | - Brendan G. Carr
- Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Stephen P. Wall
- Department of Emergency Medicine, New York University Grossman School of Medicine, New York, New York
| | - Craig D. Newgard
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
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Newgard CD, Babcock SR, Song X, Remick KE, Gausche-Hill M, Lin A, Malveau S, Mann NC, Nathens AB, Cook JNB, Jenkins PC, Burd RS, Hewes HA, Glass NE, Jensen AR, Fallat ME, Ames SG, Salvi A, McConnell KJ, Ford R, Auerbach M, Bailey J, Riddick TA, Xin H, Kuppermann N. Emergency Department Pediatric Readiness Among US Trauma Centers: A Machine Learning Analysis of Components Associated With Survival. Ann Surg 2023; 278:e580-e588. [PMID: 36538639 PMCID: PMC10149578 DOI: 10.1097/sla.0000000000005741] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE We used machine learning to identify the highest impact components of emergency department (ED) pediatric readiness for predicting in-hospital survival among children cared for in US trauma centers. BACKGROUND ED pediatric readiness is associated with improved short-term and long-term survival among injured children and part of the national verification criteria for US trauma centers. However, the components of ED pediatric readiness most predictive of survival are unknown. METHODS This was a retrospective cohort study of injured children below 18 years treated in 458 trauma centers from January 1, 2012, through December 31, 2017, matched to the 2013 National ED Pediatric Readiness Assessment and the American Hospital Association survey. We used machine learning to analyze 265 potential predictors of survival, including 152 ED readiness variables, 29 patient variables, and 84 ED-level and hospital-level variables. The primary outcome was in-hospital survival. RESULTS There were 274,756 injured children, including 4585 (1.7%) who died. Nine ED pediatric readiness components were associated with the greatest increase in survival: policy for mental health care (+8.8% change in survival), policy for patient assessment (+7.5%), specific respiratory equipment (+7.2%), policy for reduced-dose radiation imaging (+7.0%), physician competency evaluations (+4.9%), recording weight in kilograms (+3.2%), life support courses for nursing (+1.0%-2.5%), and policy on pediatric triage (+2.5%). There was a 268% improvement in survival when the 5 highest impact components were present. CONCLUSIONS ED pediatric readiness components related to specific policies, personnel, and equipment were the strongest predictors of pediatric survival and worked synergistically when combined.
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Affiliation(s)
- Craig D. Newgard
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon
| | - Sean R. Babcock
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon
| | - Xubo Song
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon
| | - Katherine E. Remick
- Departments of Pediatrics and Surgery, Dell Medical School, University of Texas at Austin, Austin, Texas
| | - Marianne Gausche-Hill
- Los Angeles County Emergency Medical Services, Harbor-UCLA Medical Center, Torrance, California
| | - Amber Lin
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon
| | - Susan Malveau
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon
| | - N. Clay Mann
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Avery B. Nathens
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Jennifer N. B. Cook
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon
| | - Peter C. Jenkins
- Department of Surgery, Indiana University School of Medicine, Indianapolis, Indiana
| | - Randall S. Burd
- Division of Trauma and Burn Surgery, Center for Surgical Care, Children’s National Hospital, Washington, District of Columbia
| | - Hilary A. Hewes
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Nina E. Glass
- Department of Surgery, Rutgers New Jersey Medical School, Newark, New Jersey
| | - Aaron R. Jensen
- Department of Surgery, University of California, San Francisco, Benioff Children’s Hospitals, San Francisco, California
| | - Mary E. Fallat
- Department of Surgery, University of Louisville School of Medicine, Norton Children’s Hospital, Louisville, Kentucky
| | - Stefanie G. Ames
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Apoorva Salvi
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon
| | - K. John McConnell
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon
- Center for Health Systems Effectiveness, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon
| | - Rachel Ford
- Oregon Emergency Medical Services for Children Program, Oregon Health Authority, Portland, Oregon
| | - Marc Auerbach
- Departments of Pediatrics and Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Jessica Bailey
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon
| | - Tyne A. Riddick
- Oregon Health & Science University-Portland State University, School of Public Health, Portland, Oregon
| | - Haichang Xin
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon
| | - Nathan Kuppermann
- Departments of Emergency Medicine and Pediatrics, University of California, Davis School of Medicine, Sacramento, California
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Firnberg MT, Lerner EB, Nan N, Ma CX, Shah MI, Mann NC, Dayan PS. National Variation in EMS Response and Antiepileptic Medication Administration for Children with Seizures in the Prehospital Setting. West J Emerg Med 2023; 24:805-813. [PMID: 37527390 PMCID: PMC10393459 DOI: 10.5811/westjem.59396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 04/21/2023] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Prehospital Advanced Life Support (ALS) is important to improve patient outcomes in children with seizures, yet data is limited regarding national prehospital variation in ALS response for these children. We aimed to determine the variation in ALS response and prehospital administration of antiepileptic medication for children with seizures across the United States. METHODS We analyzed children <19 years with 9-1-1 dispatch codes for seizure in the 2019 National Emergency Medical Services Information System dataset. We defined ALS response as ALS-paramedic, ALS-Advanced Emergency Medical Technician, or ALS-intermediate responses. We conducted regression analyses to identify associations between ALS response (primary outcome), antiepileptic administration (secondary outcome) and age, gender, location, and US census regions. RESULTS Of 147,821 pediatric calls for seizures, 88% received ALS responses. Receipt of ALS response was associated with urbanicity, with wilderness (adjusted odds ratio [aOR] 0.44, 0.39-0.49) and rural (aOR 0.80, 0.75-0.84) locations less likely to have ALS responses than urban areas. Of 129,733 emergency medical service (EMS) activations with an ALS responder's impression of seizure, antiepileptic medications were administered in 9%. Medication administration was independently associated with age (aOR 1.008, 95% confidence interval [CI] 1.005-1.010) and gender (aOR 1.22, 95% CI 1.18-1.27), with females receiving medications more than males. Of the 11,698 children who received antiepileptic medications, midazolam was the most commonly used (83%). CONCLUSION The majority of children in the US receive ALS responses for seizures. Although medications are infrequently administered, the majority who received medications had midazolam given, which is the current standard of care. Further research should determine the proportion of children who are continuing to seize upon EMS arrival and would most benefit from immediate treatment.
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Affiliation(s)
| | | | - Nan Nan
- State University of New York at Buffalo, Buffalo, NY
| | - Chang-Xing Ma
- State University of New York at Buffalo, Buffalo, NY
| | - Manish I Shah
- Baylor College of Medicine and Texas Children's Hospital, Houston, Texas
| | | | - Peter S Dayan
- Columbia University Irving Medical Center, New York, NY
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Remick K, Smith M, Newgard CD, Lin A, Hewes H, Jensen AR, Glass N, Ford R, Ames S, Cook J, Malveau S, Dai M, Auerbach M, Jenkins P, Gausche-Hill M, Fallat M, Kuppermann N, Mann NC. Impact of individual components of emergency department pediatric readiness on pediatric mortality in US trauma centers. J Trauma Acute Care Surg 2023; 94:417-424. [PMID: 36045493 PMCID: PMC9974586 DOI: 10.1097/ta.0000000000003779] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Injured children initially treated at trauma centers with high emergency department (ED) pediatric readiness have improved survival. Centers with limited resources may not be able to address all pediatric readiness deficiencies, and there currently is no evidence-based guidance for prioritizing different components of readiness. The objective of this study was to identify individual components of ED pediatric readiness associated with better-than-expected survival in US trauma centers to aid in the allocation of resources targeted at improving pediatric readiness. METHODS This cohort study of US trauma centers used the National Trauma Data Bank (2012-2017) matched to the 2013 National Pediatric Readiness Project assessment. Adult and pediatric centers treating at least 50 injured children (younger than 18 years) and recording at least one death during the 6-year study period were included. Using a standardized risk-adjustment model for trauma, we calculated the observed-to-expected mortality ratio for each trauma center. We used bivariate analyses and multivariable linear regression to assess for associations between individual components of ED pediatric readiness and better-than-expected survival. RESULTS Among 555 trauma centers, the observed-to-expected mortality ratios ranged from 0.07 to 4.17 (interquartile range, 0.93-1.14). Unadjusted analyses of 23 components of ED pediatric readiness showed that trauma centers with better-than-expected survival were more likely to have a validated pediatric triage tool, comprehensive quality improvement processes, a pediatric-specific disaster plan, and critical airway and resuscitation equipment (all p < 0.03). The multivariable analysis demonstrated that trauma centers with both a physician and a nurse pediatric emergency care coordinator had better-than-expected survival, but this association weakened after accounting for trauma center level. Child maltreatment policies were associated with lower-than-expected survival, particularly in Levels III to V trauma centers. CONCLUSION Specific components of ED pediatric readiness were associated with pediatric survival among US trauma centers. LEVEL OF EVIDENCE Therapeutic/Care Management; Level III.
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Affiliation(s)
- Katherine Remick
- From the Department of Pediatrics (K.R.), Dell Medical School at the University of Texas at Austin, Austin, Texas; Department of Pediatrics (M.S., H.H., S.A., M.D., N.C.M.), University of Utah School of Medicine, Salt Lake City, Utah; Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine (C.D.N., A.L., J.C., S.M.), Oregon Health & Science University, Portland, Oregon; UCSF Benioff Children's Hospitals, Department of Surgery (A.R.J.), University of California San Francisco, San Francisco, California; Department of Surgery (N.G.), Rutgers New Jersey Medical School, Newark, New Jersey; Oregon EMS for Children Program (R.F.), Oregon Health Authority, Portland, Oregon; Departments of Pediatrics (M.A.) and Emergency Medicine (M.A.), Yale University School of Medicine, New Haven, Connecticut; Indiana University School of Medicine, Department of Surgery (P.J.), Indianapolis, Indiana; Departments of Emergency Medicine (M.G.-H.) and Pediatrics (M.G.-H.), David Geffen School of Medicine at University of California Los Angeles, Los Angeles, California; Department of Surgery (M.F.), University of Louisville School of Medicine, Louisville, Kentucky; and Departments of Emergency Medicine (N.K.) and Pediatrics (N.K.), University of California Davis School of Medicine, Sacramento, California
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Shekhar AC, Madhok M, Campbell T, Blumen IJ, Lyon RM, Mann NC. A comparison between sudden cardiac arrest on military bases and non-military settings. Am J Emerg Med 2023; 65:84-86. [PMID: 36592565 DOI: 10.1016/j.ajem.2022.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 12/07/2022] [Accepted: 12/10/2022] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Out-of-hospital cardiac arrests contribute to significant morbidity and mortality in both non-military/civilian and military populations. Early CPR and AED use have been linked with improved outcomes. There is public health interest in identifying communities with high rates of both with the hopes of creating generalizable tactics for improving cardiac arrest survival. METHODS We examined a national registry of EMS activations in the United States (NEMSIS). Inclusion criteria were witnessed cardiac arrests from January 2020 to September 2022 where EMS providers documented the location of the arrest, whether CPR was provided prior to their arrival (yes/no), and whether an AED was applied prior to their arrival (yes/no). Cardiac arrests were then classified as occurring on a military base or in a non-military setting. RESULTS A total of 60 witnessed cardiac arrests on military bases and 202,605 witnessed cardiac arrests in non-military settings met inclusion criteria. Importantly, the prevalence of CPR and AED use prior to EMS arrival was significantly higher on military bases compared to non-military settings. CONCLUSIONS Reasons for the trends we observed may be a greater availability of CPR-trained individuals and AEDs on military bases, as well as a widespread willingness to provide aid to victims of cardiac arrest. Further research should examine cardiac arrests on military bases.
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Affiliation(s)
- Aditya C Shekhar
- The Icahn School of Medicine at Mount Sinai, New York City, NY, United States of America; Harvard Medical School, Boston, MA, United States of America.
| | - Manu Madhok
- Department of Emergency Medicine, Children's Minnesota, Minneapolis, MN, United States of America
| | - Teri Campbell
- University of Chicago Aeromedical Network (UCAN), Chicago, IL, United States of America
| | - Ira J Blumen
- University of Chicago Aeromedical Network (UCAN), Chicago, IL, United States of America; Section of Emergency Medicine, The University of Chicago, Chicago, IL, United States of America
| | - Richard M Lyon
- Air Ambulance Kent Surrey Sussex, UK; School of Health Sciences, University of Surrey, Surrey, UK
| | - N Clay Mann
- Department of Pediatrics, The University of Utah, Salt Lake City, UT, United States of America
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Shekhar AC, Larkin A, Fisher B, Mann NC. Aspirin use in ST-elevation myocardial infarction (STEMI) patients transported by emergency medical services (EMS). Am J Emerg Med 2023; 65:200-201. [PMID: 36509606 DOI: 10.1016/j.ajem.2022.11.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 11/26/2022] [Indexed: 12/05/2022] Open
Affiliation(s)
- Aditya C Shekhar
- Icahn School of Medicine at Mount Sinai, New York City, NY, United States of America.
| | - Angela Larkin
- NEMSIS Technical Assistance Center, The University of Utah, Salt Lake City, UT, United States of America
| | - Benjamin Fisher
- NEMSIS Technical Assistance Center, The University of Utah, Salt Lake City, UT, United States of America
| | - N Clay Mann
- NEMSIS Technical Assistance Center, The University of Utah, Salt Lake City, UT, United States of America; Department of Pediatrics, The University of Utah, Salt Lake City, UT, United States of America
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Lupton JR, Davis-O'Reilly C, Jungbauer RM, Newgard CD, Fallat ME, Brown JB, Mann NC, Jurkovich GJ, Bulger E, Gestring ML, Lerner EB, Chou R, Totten AM. Under-Triage and Over-Triage Using the Field Triage Guidelines for Injured Patients: A Systematic Review. PREHOSP EMERG CARE 2023; 27:38-45. [PMID: 35191799 DOI: 10.1080/10903127.2022.2043963] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
OBJECTIVES The Field Triage Guidelines (FTG) are used across North America to identify seriously injured patients for transport to appropriate level trauma centers, with a goal of under-triaging no more than 5% and over-triaging between 25% and 35%. Our objective was to systematically review the literature on under-triage and over-triage rates of the FTG. METHODS We conducted a systematic review of the FTG performance. Ovid Medline, EMBASE, and the Cochrane databases were searched for studies published between January 2011 and February 2021. Two investigators dual-reviewed eligibility of abstracts and full-text. We included studies evaluating under- or over-triage of patients using the FTG in the prehospital setting. We excluded studies not reporting an outcome of under- or over-triage, studies evaluating other triage tools, or studies of triage not in the prehospital setting. Two investigators independently assessed the risk of bias for each included article. The primary accuracy measures to assess the FTG were under-triage, defined as seriously injured patients transported to non-trauma hospitals (1-sensitivity), and over-triage, defined as non-injured patients transported to trauma hospitals (1-specificity). Due to heterogeneity, results were synthesized qualitatively. RESULTS We screened 2,418 abstracts, reviewed 315 full-text publications, and identified 17 studies that evaluated the accuracy of the FTG. Among eight studies evaluating the entire FTG (steps 1-4), under-triage rates ranged from 1.6% to 72.0% and were higher for older (≥55 or ≥65 years) adults (20.1-72.0%) and pediatric (<15 years) patients (15.9-34.8%) compared to all ages (1.6-33.8%). Over-triage rates ranged from 9.9% to 87.4% and were higher for all ages (12.2-87.4%) compared to older (≥55 or ≥65 years) adults (9.9-48.2%) and pediatric (<15 years) patients (28.0-33.6%). Under-triage was lower in studies strictly applying the FTG retrospectively (1.6-34.8%) compared to as-practiced (10.5-72.0%), while over-triage was higher retrospectively (64.2-87.4%) compared to as-practiced (9.9-48.2%). CONCLUSIONS Evidence suggests that under-triage, while improved if the FTG is strictly applied, remains above targets, with higher rates of under-triage in both children and older adults.
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Affiliation(s)
- Joshua R Lupton
- Department of Emergency Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Cynthia Davis-O'Reilly
- Pacific Northwest Evidence-based Practice Center, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
| | - Rebecca M Jungbauer
- Pacific Northwest Evidence-based Practice Center, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
| | - Craig D Newgard
- Department of Emergency Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Mary E Fallat
- Department of Surgery, University of Louisville School of Medicine, Louisville, KY, USA
| | - Joshua B Brown
- Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - N Clay Mann
- Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | | | - Eileen Bulger
- Department of Surgery, University of Washington, Seattle, WA, USA
| | - Mark L Gestring
- Department of Surgery, University of Rochester, Rochester, NY, USA
| | - E Brooke Lerner
- Department of Emergency Medicine, University at Buffalo, Buffalo, NY, USA
| | - Roger Chou
- Pacific Northwest Evidence-based Practice Center, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
| | - Annette M Totten
- Pacific Northwest Evidence-based Practice Center, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
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Medrano NW, Villarreal CL, Mann NC, Price MA, Nolte KB, MacKenzie EJ, Bixby P, Eastridge BJ. Activation and On-Scene Intervals for Severe Trauma EMS Interventions: An Analysis of the NEMSIS Database. PREHOSP EMERG CARE 2023; 27:46-53. [PMID: 35363117 DOI: 10.1080/10903127.2022.2053615] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Objective: Time to care is a determinant of trauma patient outcomes, and timely delivery of trauma care to severely injured patients is critical in reducing mortality. Numerous studies have analyzed access to care using prehospital intervals from a Carr et al. meta-analysis of studies from 1975 to 2005. Carr et al.'s research sought to determine national mean activation and on-scene intervals for trauma patients using contemporary emergency medical services (EMS) records. Since the Carr et al. meta-analysis was published, the National Highway Traffic Safety Administration (NHTSA) created and refined the National Emergency Medical Services Information System (NEMSIS) database. We sought to perform a modern analysis of prehospital intervals to establish current standards and temporal patterns.Methods: We utilized NEMSIS to analyze EMS data of trauma patients from 2016 to 2019. The dataset comprises more than 94 million EMS records, which we filtered to select for severe trauma and stratified by type of transport and rurality to calculate mean activation and on-scene intervals. Furthermore, we explored the impact of basic life support (BLS) and advanced life support (ALS) of ground units on activation and on-scene time intervals.Results: Mean activation and on-scene intervals for ground transport were statistically different when stratified by rurality. Urban, suburban, and rural ground activation intervals were 2.60 ± 3.94, 2.88 ± 3.89, and 3.33 ± 4.58 minutes, respectively. On-scene intervals were 15.50 ± 10.46, 17.56 ± 11.27, and 18.07 ± 16.13 minutes, respectively. Mean helicopter transport activation time was 13.75 ± 7.44 minutes and on-scene time was 19.42 ± 16.09 minutes. This analysis provides an empirically defined mean for activation and on-scene times for trauma patients based on transport type and rurality. Results from this analysis proved to be significantly longer than the previous analysis, except for helicopter transport on-scene time. Shorter mean intervals were seen in ALS compared to BLS for activation intervals, however ALS on-scene intervals were marginally longer than BLS.Conclusions: With the increasing sophistication of geospatial technologies employed to analyze access to care, these intervals are the most accurate and up-to-date and should be included in access to care models.
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Affiliation(s)
| | | | - N Clay Mann
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | | | - Kurt B Nolte
- Department of Pathology, University of New Mexico School of Medicine, Albuquerque, New Mexico
| | - Ellen J MacKenzie
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Pam Bixby
- Coalition for National Trauma Research, San Antonio, Texas
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Newgard CD, Lin A, Malveau S, Cook JNB, Smith M, Kuppermann N, Remick KE, Gausche-Hill M, Goldhaber-Fiebert J, Burd RS, Hewes HA, Salvi A, Xin H, Ames SG, Jenkins PC, Marin J, Hansen M, Glass NE, Nathens AB, McConnell KJ, Dai M, Carr B, Ford R, Yanez D, Babcock SR, Lang B, Mann NC. Emergency Department Pediatric Readiness and Short-term and Long-term Mortality Among Children Receiving Emergency Care. JAMA Netw Open 2023; 6:e2250941. [PMID: 36637819 PMCID: PMC9857584 DOI: 10.1001/jamanetworkopen.2022.50941] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
IMPORTANCE Emergency departments (EDs) with high pediatric readiness (coordination, personnel, quality improvement, safety, policies, and equipment) are associated with lower mortality among children with critical illness and those admitted to trauma centers, but the benefit among children with more diverse clinical conditions is unknown. OBJECTIVE To evaluate the association between ED pediatric readiness, in-hospital mortality, and 1-year mortality among injured and medically ill children receiving emergency care in 11 states. DESIGN, SETTING, AND PARTICIPANTS This is a retrospective cohort study of children receiving emergency care at 983 EDs in 11 states from January 1, 2012, through December 31, 2017, with follow-up for a subset of children through December 31, 2018. Participants included children younger than 18 years admitted, transferred to another hospital, or dying in the ED, stratified by injury vs medical conditions. Data analysis was performed from November 1, 2021, through June 30, 2022. EXPOSURE ED pediatric readiness of the initial ED, measured through the weighted Pediatric Readiness Score (wPRS; range, 0-100) from the 2013 National Pediatric Readiness Project assessment. MAIN OUTCOMES AND MEASURES The primary outcome was in-hospital mortality, with a secondary outcome of time to death to 1 year among children in 6 states. RESULTS There were 796 937 children, including 90 963 (11.4%) in the injury cohort (mean [SD] age, 9.3 [5.8] years; median [IQR] age, 10 [4-15] years; 33 516 [36.8%] female; 1820 [2.0%] deaths) and 705 974 (88.6%) in the medical cohort (mean [SD] age, 5.8 [6.1] years; median [IQR] age, 3 [0-12] years; 329 829 [46.7%] female, 7688 [1.1%] deaths). Among the 983 EDs, the median (IQR) wPRS was 73 (59-87). Compared with EDs in the lowest quartile of ED readiness (quartile 1, wPRS of 0-58), initial care in a quartile 4 ED (wPRS of 88-100) was associated with 60% lower in-hospital mortality among injured children (adjusted odds ratio, 0.40; 95% CI, 0.26-0.60) and 76% lower mortality among medical children (adjusted odds ratio, 0.24; 95% CI, 0.17-0.34). Among 545 921 children followed to 1 year, the adjusted hazard ratio of death in quartile 4 EDs was 0.59 (95% CI, 0.42-0.84) for injured children and 0.34 (95% CI, 0.25-0.45) for medical children. If all EDs were in the highest quartile of pediatric readiness, an estimated 288 injury deaths (95% CI, 281-297 injury deaths) and 1154 medical deaths (95% CI, 1150-1159 medical deaths) may have been prevented. CONCLUSIONS AND RELEVANCE These findings suggest that children with injuries and medical conditions treated in EDs with high pediatric readiness had lower mortality during hospitalization and to 1 year.
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Affiliation(s)
- Craig D. Newgard
- Department of Emergency Medicine, Center for Policy and Research in Emergency Medicine, Oregon Health & Science University, Portland
| | - Amber Lin
- Department of Emergency Medicine, Center for Policy and Research in Emergency Medicine, Oregon Health & Science University, Portland
| | - Susan Malveau
- Department of Emergency Medicine, Center for Policy and Research in Emergency Medicine, Oregon Health & Science University, Portland
| | - Jennifer N. B. Cook
- Department of Emergency Medicine, Center for Policy and Research in Emergency Medicine, Oregon Health & Science University, Portland
| | - McKenna Smith
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City
| | - Nathan Kuppermann
- Department of Emergency Medicine, University of California, Davis School of Medicine, Sacramento
- Department of Pediatrics, University of California, Davis School of Medicine, Sacramento
| | - Katherine E. Remick
- Department of Pediatric, Dell Medical School, University of Texas at Austin, Austin
- Department of Surgery, Dell Medical School, University of Texas at Austin, Austin
| | - Marianne Gausche-Hill
- Los Angeles County Emergency Medical Services, Harbor-UCLA Medical Center, Torrance, California
| | - Jeremy Goldhaber-Fiebert
- Centers for Health Policy, Primary Care and Outcomes Research, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Randall S. Burd
- Division of Trauma and Burn Surgery, Department of Surgery, Children’s National Hospital, Washington, DC
| | - Hilary A. Hewes
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City
| | - Apoorva Salvi
- Department of Emergency Medicine, Center for Policy and Research in Emergency Medicine, Oregon Health & Science University, Portland
| | - Haichang Xin
- Department of Emergency Medicine, Center for Policy and Research in Emergency Medicine, Oregon Health & Science University, Portland
| | - Stefanie G. Ames
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City
| | - Peter C. Jenkins
- Department of Surgery, Indiana University School of Medicine, Indianapolis
| | - Jennifer Marin
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Matthew Hansen
- Department of Emergency Medicine, Center for Policy and Research in Emergency Medicine, Oregon Health & Science University, Portland
| | - Nina E. Glass
- Department of Surgery, Rutgers New Jersey Medical School, Newark
| | - Avery B. Nathens
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - K. John McConnell
- Department of Emergency Medicine, Center for Policy and Research in Emergency Medicine, Oregon Health & Science University, Portland
- Center for Health Systems Effectiveness, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Mengtao Dai
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City
| | - Brendan Carr
- Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Rachel Ford
- Oregon Emergency Medical Services for Children Program, Oregon Health Authority, Portland
| | - Davis Yanez
- Department of Anesthesia, Yale School of Medicine, New Haven, Connecticut
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - Sean R. Babcock
- Department of Emergency Medicine, Center for Policy and Research in Emergency Medicine, Oregon Health & Science University, Portland
| | - Benjamin Lang
- Department of Pediatric, Dell Medical School, University of Texas at Austin, Austin
- Department of Surgery, Dell Medical School, University of Texas at Austin, Austin
| | - N. Clay Mann
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City
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Lupton JR, Davis‐O'Reilly C, Jungbauer RM, Newgard CD, Fallat ME, Brown JB, Mann NC, Jurkovich GJ, Bulger E, Gestring ML, Lerner EB, Chou R, Totten AM. Mechanism of injury and special considerations as predictive of serious injury: A systematic review. Acad Emerg Med 2022; 29:1106-1117. [PMID: 35319149 PMCID: PMC9545392 DOI: 10.1111/acem.14489] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 03/17/2022] [Accepted: 03/19/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVES The Centers for Disease Control and Prevention's field triage guidelines (FTG) are routinely used by emergency medical services personnel for triaging injured patients. The most recent (2011) FTG contains physiologic, anatomic, mechanism, and special consideration steps. Our objective was to systematically review the criteria in the mechanism and special consideration steps that might be predictive of serious injury or need for a trauma center. METHODS We conducted a systematic review of the predictive utility of mechanism and special consideration criteria for predicting serious injury. A research librarian searched in Ovid Medline, EMBASE, and the Cochrane databases for studies published between January 2011 and February 2021. Eligible studies were identified using a priori inclusion and exclusion criteria. Studies were excluded if they lacked an outcome for serious injury, such as measures of resource use, injury severity scores, mortality, or composite measures using a combination of outcomes. Given the heterogeneity in populations, measures, and outcomes, results were synthesized qualitatively focusing on positive likelihood ratios (LR+) whenever these could be calculated from presented data or adjusted odds ratios (aOR). RESULTS We reviewed 2418 abstracts and 315 full-text publications and identified 42 relevant studies. The factors most predictive of serious injury across multiple studies were death in the same vehicle (LR+ 2.2-7.4), ejection (aOR 3.2-266.2), extrication (LR+ 1.1-6.6), lack of seat belt use (aOR 4.4-11.3), high speeds (aOR 2.0-2.9), concerning crash variables identified by vehicle telemetry systems (LR+ 4.7-22.2), falls from height (LR+ 2.4-5.9), and axial load or diving (aOR 2.5-17.6). Minor or inconsistent predictors of serious injury were vehicle intrusion (LR+ 0.8-7.2), cardiopulmonary or neurologic comorbidities (LR+ 0.8-3.1), older age (LR+ 0.6-6.8), or anticoagulant use (LR+ 1.1-1.8). CONCLUSIONS Select mechanism and special consideration criteria contribute positively to appropriate field triage of potentially injured patients.
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Affiliation(s)
- Joshua R. Lupton
- Department of Emergency MedicineOregon Health & Science UniversityPortlandOregonUSA
| | - Cynthia Davis‐O'Reilly
- Pacific Northwest Evidence‐based Practice Center, Department of Medical Informatics and Clinical EpidemiologyOregon Health & Science UniversityPortlandOregonUSA
| | - Rebecca M. Jungbauer
- Pacific Northwest Evidence‐based Practice Center, Department of Medical Informatics and Clinical EpidemiologyOregon Health & Science UniversityPortlandOregonUSA
| | - Craig D. Newgard
- Department of Emergency MedicineOregon Health & Science UniversityPortlandOregonUSA
| | - Mary E. Fallat
- Department of SurgeryUniversity of Louisville School of MedicineLouisvilleKentuckyUSA
| | - Joshua B. Brown
- Department of SurgeryUniversity of Pittsburgh Medical CenterPittsburghPennsylvaniaUSA
| | - N. Clay Mann
- Department of PediatricsUniversity of UtahSalt Lake CityUtahUSA
| | | | - Eileen Bulger
- Department of SurgeryUniversity of WashingtonSeattleWashingtonUSA
| | - Mark L. Gestring
- Department of SurgeryUniversity of RochesterRochesterNew YorkUSA
| | - E. Brooke Lerner
- Department of Emergency MedicineUniversity at BuffaloBuffaloNew YorkUSA
| | - Roger Chou
- Pacific Northwest Evidence‐based Practice Center, Department of Medical Informatics and Clinical EpidemiologyOregon Health & Science UniversityPortlandOregonUSA
| | - Annette M. Totten
- Pacific Northwest Evidence‐based Practice Center, Department of Medical Informatics and Clinical EpidemiologyOregon Health & Science UniversityPortlandOregonUSA
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Shekhar AC, Blumen IJ, Mann NC, Mader TJ. Full moons are not associated with increases in emergency medical services (EMS) activations (911 calls) in the United States. Am J Emerg Med 2022; 61:227-228. [PMID: 35879199 DOI: 10.1016/j.ajem.2022.07.044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 07/15/2022] [Accepted: 07/17/2022] [Indexed: 11/27/2022] Open
Affiliation(s)
- Aditya C Shekhar
- Icahn School of Medicine at Mount Sinai, New York City, NY, United States of America; Harvard Medical School, Boston, MA, United States of America.
| | - Ira J Blumen
- Section of Emergency Medicine, The University of Chicago, Chicago, IL, United States of America
| | - N Clay Mann
- Department of Pediatrics, The University of Utah, Salt Lake City, UT, United States of America
| | - Timothy J Mader
- Department of Emergency Medicine, University of Massachusetts Medical School-Baystate, Springfield, MA, United States of America
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Shekhar AC, Effiong A, Mann NC, Blumen IJ. Success of prehospital tracheal intubation during cardiac arrest varies based on race/ethnicity and sex. Trends in Anaesthesia and Critical Care 2022. [DOI: 10.1016/j.tacc.2022.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Shekhar A, Mann NC. P153 Lidocaine versus amiodarone in out-of-hospital cardiac arrest: a retrospective analysis. Resuscitation 2022. [DOI: 10.1016/s0300-9572(22)00563-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Abstract
Background: The National Emergency Medical Services Information System (NEMSIS) is a federally funded program designed to standardize Emergency Medical Services (EMS) patient care reporting and facilitate state and national data repositories for the assessment and improvement of EMS systems of care. This manuscript characterizes the 2020 submissions to the National EMS Database, detailing the strengths and limitations associated with use of these data for public health surveillance, improving prehospital patient care, critical resource allocation, clinician safety, system quality assurance and research purposes.Methodology: Using the 2020 NEMSIS Public-Release Research Dataset (NEMSIS dataset), we evaluated the dataset completeness (i.e., presence of missing/null values), dataset content and assessed data generalizability. The analysis focused on 911 EMS activations resulting in the treatment and transport of a patient, except for out-of-hospital cardiac arrests for which all patients were included regardless of transport status.Results: In 2020, 43,488,767 EMS activations were reported to the National EMS Database by 12,319 agencies serving 50 states and territories. Of the 19,533,036 911 EMS activations reportedly treating and transporting a patient, the majority were attended by "non-volunteer" clinicians (77%) working in a fire-based EMS agency (35%) certified to offer Advanced Life Support (ALS) Paramedic service (80%) and located in an urban area (82%). 911 call centers most often dispatched EMS for "sick person" (20%), while EMS clinicians most likely reported asthenia (7%) as the patient's primary symptom as well as the clinician's primary impression (6%), and documented "fall on same level, slip, or trip" as the most common cause of injury (37%). The NEMSIS dataset demonstrates some "missingness" and element inconsistencies, but methods may be employed to mitigate these data limitations.Conclusions: The National EMS Database is a free and publicly available resource for evaluating EMS system utilization, response, and prehospital patient care. Understanding the characteristics of the underlying dataset and known data limitations will help ensure proper analysis and reporting of research and quality metrics based on nationally standardized NEMSIS data.
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Affiliation(s)
- Julianne Ehlers
- National Emergency Medical Services (NEMSIS) Technical Assistance Center, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Benjamin Fisher
- National Emergency Medical Services (NEMSIS) Technical Assistance Center, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Skyler Peterson
- National Emergency Medical Services (NEMSIS) Technical Assistance Center, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Mengtao Dai
- National Emergency Medical Services (NEMSIS) Technical Assistance Center, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Angela Larkin
- National Emergency Medical Services (NEMSIS) Technical Assistance Center, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Lauri Bradt
- National Emergency Medical Services (NEMSIS) Technical Assistance Center, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - N Clay Mann
- National Emergency Medical Services (NEMSIS) Technical Assistance Center, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
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Newgard CD, Malveau S, Mann NC, Hansen M, Lang B, Lin A, Carr BG, Berry C, Buchwalder K, Lerner EB, Hewes HA, Kusin S, Dai M, Wei R. A Geospatial Evaluation of 9-1-1 Ambulance Transports for Children and Emergency Department Pediatric Readiness. PREHOSP EMERG CARE 2022; 27:252-262. [PMID: 35394855 PMCID: PMC9681031 DOI: 10.1080/10903127.2022.2064020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/05/2022] [Accepted: 04/05/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE Whether ambulance transport patterns are optimized to match children to high-readiness emergency departments (EDs) and the resulting effect on survival are unknown. We quantified the number of children transported by 9-1-1 emergency medical services (EMS) to high-readiness EDs, additional children within 30 minutes of a high-readiness ED, and the estimated effect on survival. METHODS This was a cross-sectional study using data from the National EMS Information System for 5,461 EMS agencies in 28 states from 1/1/2012 through 12/31/2019, matched to the 2013 National Pediatric Readiness Project assessment of ED pediatric readiness. We performed a geospatial analysis of children 0 to 17 years requiring 9-1-1 EMS transport to acute care hospitals, including day-, time-, and traffic-adjusted estimates for driving times to all EDs within 30 minutes of the scene. We categorized receiving hospitals by quartile of ED pediatric readiness using the weighted Pediatric Readiness Score (wPRS, range 0-100) and defined a high-risk subgroup of children as a proxy for admission. We used published estimates for the survival benefit of high readiness EDs to estimate the number of lives saved. RESULTS There were 808,536 children transported by EMS, of whom 253,541 (31.4%) were high-risk. Among the 2,261 receiving hospitals, the median wPRS was 70 (IQR 57-85, range 26-100) and the median number of receiving hospitals within 30 minutes was 4 per child (IQR 2-11, range 1 to 53). Among all children, 411,685 (50.9%) were taken to EDs in the highest quartile of pediatric readiness, and 180,547 (22.3%) children transported to lower readiness EDs were within 30 minutes of a high readiness ED. Findings were similar among high-risk children. Based on high-risk children, we estimated that 3,050 pediatric lives were saved by transport to high-readiness EDs and an additional 1,719 lives could have been saved by shifting transports to high readiness EDs within 30 minutes. CONCLUSIONS Approximately half of children transported by EMS were taken to high-readiness EDs and an additional one quarter could have been transported to such an ED, with measurable effect on survival.
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Affiliation(s)
- Craig D. Newgard
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine Oregon Health & Science University, Portland, Oregon
| | - Susan Malveau
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine Oregon Health & Science University, Portland, Oregon
| | - N. Clay Mann
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Matthew Hansen
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine Oregon Health & Science University, Portland, Oregon
| | - Benjamin Lang
- Department of Pediatrics, Dell Medical School, University of Texas at Austin, Austin, Texas
| | - Amber Lin
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine Oregon Health & Science University, Portland, Oregon
| | - Brendan G. Carr
- Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Cherisse Berry
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
| | - Kyle Buchwalder
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine Oregon Health & Science University, Portland, Oregon
| | - E. Brooke Lerner
- Department of Emergency Medicine, University at Buffalo, Buffalo, New York
| | - Hilary A. Hewes
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Shana Kusin
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine Oregon Health & Science University, Portland, Oregon
| | - Mengtao Dai
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Ran Wei
- School of Public Policy, University of California at Riverside, Riverside, California
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20
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Abstract
Out-of-hospital cardiac arrest (OHCA) in the pediatric population is a significant public health concern. Estimates of mortality suggest ≈7000 pediatric cardiac arrests occur annually in the United States.1 The existence of racial disparities in adult OHCA has been well established2; however, there is limited research examining whether similar disparities might also be present in the pediatric population. Age-related disparities in pediatric OHCA have also been previously identified.3 For cardiac arrests in both adult and pediatric patients, early cardiopulmonary resuscitation (CPR) is crucial to prevent permanent injury and promote a desirable outcome; in the out-of-hospital setting, this often involves CPR being initiated by nonmedical bystanders.1,3 Emergency medical services (EMS) are often the first professional responders to OHCA, and data from the EMS perspective might be the only means of determining whether disparities-defined as significant differences in care and/or outcomes-are present in pediatric OHCA.
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Affiliation(s)
- Aditya C Shekhar
- Center for Bioethics, Harvard Medical School, Boston, MA; University of Minnesota-Twin Cities, Minneapolis, MN
| | - Teri Campbell
- University of Chicago Aeromedical Network (UCAN), University of Chicago, Chicago, IL
| | - N Clay Mann
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT
| | - Ira J Blumen
- University of Chicago Aeromedical Network (UCAN), University of Chicago, Chicago, IL; Department of Emergency Medicine, University of Chicago, Chicago, IL
| | - Manu Madhok
- University of Minnesota-Twin Cities, Minneapolis, MN; Department of Emergency Medicine, Children's Minnesota, Minneapolis, MN
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Shekhar A, Madhok M, Campbell T, Mann NC, Blumen I. DISTINCTIVE FEATURES OF OUT-OF-HOSPITAL CARDIAC ARRESTS ON MILITARY BASES: A NATIONWIDE ANALYSIS. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)01014-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Shekhar AC, Campbell T, Mann NC, Blumen I. Etiology affects predictors of survival for out-of-hospital cardiac arrest. Am J Emerg Med 2022; 57:218-219. [PMID: 35181162 DOI: 10.1016/j.ajem.2022.02.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 01/23/2022] [Accepted: 02/06/2022] [Indexed: 12/21/2022] Open
Affiliation(s)
- Aditya C Shekhar
- Harvard Medical School, United States of America; The University of Minnesota, United States of America.
| | | | - N Clay Mann
- The University of Utah, United States of America
| | - Ira Blumen
- The University of Chicago, United States of America
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Newgard CD, Braverman MA, Phuong J, Shipper ES, Price MA, Bixby PJ, Goralnick E, Daya MR, Lerner EB, Guyette FX, Rowell S, Doucet J, Jenkins P, Mann NC, Staudenmayer K, Blake DP, Bulger E. Developing a National Trauma Research Action Plan: Results from the prehospital and mass casualty research Delphi survey. J Trauma Acute Care Surg 2022; 92:398-406. [PMID: 34789701 DOI: 10.1097/ta.0000000000003469] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND The National Academies of Sciences, Engineering, and Medicine 2016 trauma system report recommended a National Trauma Research Action Plan to strengthen and guide future trauma research. To address this recommendation, 11 expert panels completed a Delphi survey process to create a comprehensive research agenda, spanning the continuum of trauma care. We describe the gap analysis and high-priority research questions generated from the National Trauma Research Action Plan panel on prehospital and mass casualty trauma care. METHODS We recruited interdisciplinary national experts to identify gaps in the prehospital and mass casualty trauma evidence base and generate prioritized research questions using a consensus-driven Delphi survey approach. We included military and civilian representatives. Panelists were encouraged to use the Patient/Population, Intervention, Compare/Control, and Outcome format to generate research questions. We conducted four Delphi rounds in which participants generated key research questions and then prioritized the questions on a 9-point Likert scale to low-, medium-, and high-priority items. We defined consensus as ≥60% agreement on the priority category and coded research questions using a taxonomy of 118 research concepts in 9 categories. RESULTS Thirty-one interdisciplinary subject matter experts generated 490 research questions, of which 433 (88%) reached consensus on priority. The rankings of the 433 questions were as follows: 81 (19%) high priority, 339 (78%) medium priority, and 13 (3%) low priority. Among the 81 high-priority questions, there were 46 taxonomy concepts, including health systems of care (36 questions), interventional clinical trials and comparative effectiveness (32 questions), mortality as an outcome (30 questions), prehospital time/transport mode/level of responder (24 questions), system benchmarks (17 questions), and fluid/blood product resuscitation (17 questions). CONCLUSION This Delphi gap analysis of prehospital and mass casualty care identified 81 high-priority research questions to guide investigators and funding agencies for future trauma research.
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Affiliation(s)
- Craig D Newgard
- From the Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine (C.D.N., M.R.D.), Oregon Health and Science University, Portland, Oregon; Coalition for National Trauma Research (M.A.B., E.S.S., M.A.P., P.J.B.), San Antonio, Texas; Department of Biomedical Informatics and Medical Education (J.P.), University of Washington, Seattle, Washington; Department of Emergency Medicine (E.G.), Brigham and Women's Hospital Harvard Medical School Boston, Massachusetts; Department of Emergency Medicine (E.B.L.), Jacobs School of Medicine and Biomedical Sciences University at Buffalo, Buffalo, New York; Department of Emergency Medicine (F.X.G.), University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Surgery (S.R.), University of Chicago Medicine and Biological Sciences, Chicago, Illinois; Division of Trauma, Surgical Critical Care, Burns and Acute Care Surgery, Department of Surgery (J.D.), University of California San Diego Health, San Diego, California; Department of Surgery (P.J.), Indiana University School of Medicine, Indianapolis, Indiana; Department of Pediatrics (N.C.M.), University of Utah School of Medicine, Salt Lake City, Utah; Department of Surgery (K.S.), Stanford University, Palo Alto, California; Department of Surgery (D.P.B.), Inova Medical Group/Inova Fairfax Medical Campus, Falls Church, Virginia; and Department of Surgery (E.B.), Harborview Medical Center University of Washington, Seattle, Washington
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Shekhar AC, Campbell T, Mann NC, Blumen I. Overdose-Attributable Out-of-Hospital Cardiac Arrest in the United States (2017 to 2019). Am J Cardiol 2022; 162:200-201. [PMID: 34702556 DOI: 10.1016/j.amjcard.2021.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 09/08/2021] [Accepted: 09/14/2021] [Indexed: 11/16/2022]
Affiliation(s)
- Aditya C Shekhar
- University of Minnesota, Minneapolis, Minnesota; The University of Chicago, Chicago, Illinois
| | | | - N Clay Mann
- The University of Utah, Salt Lake City, Utah
| | - Ira Blumen
- The University of Chicago, Chicago, Illinois
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Newgard CD, Lin A, Olson LM, Cook JNB, Gausche-Hill M, Kuppermann N, Goldhaber-Fiebert JD, Malveau S, Smith M, Dai M, Nathens AB, Glass NE, Jenkins PC, McConnell KJ, Remick KE, Hewes H, Mann NC. Evaluation of Emergency Department Pediatric Readiness and Outcomes Among US Trauma Centers. JAMA Pediatr 2021; 175:947-956. [PMID: 34096991 PMCID: PMC8185631 DOI: 10.1001/jamapediatrics.2021.1319] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 03/25/2021] [Indexed: 01/20/2023]
Abstract
Importance The National Pediatric Readiness Project is a US initiative to improve emergency department (ED) readiness to care for acutely ill and injured children. However, it is unclear whether high ED pediatric readiness is associated with improved survival in US trauma centers. Objective To evaluate the association between ED pediatric readiness, in-hospital mortality, and in-hospital complications among injured children presenting to US trauma centers. Design, Setting, and Participants A retrospective cohort study of 832 EDs in US trauma centers in 50 states and the District of Columbia was conducted using data from January 1, 2012, through December 31, 2017. Injured children younger than 18 years who were admitted, transferred, or with injury-related death in a participating trauma center were included in the analysis. Subgroups included children with an Injury Severity Score (ISS) of 16 or above, indicating overall seriously injured (accounting for all injuries); any Abbreviated Injury Scale (AIS) score of 3 or above, indicating at least 1 serious injury; a head AIS score of 3 or above, indicating serious brain injury; and need for early use of critical resources. Exposures Emergency department pediatric readiness for the initial ED visit, measured through the weighted Pediatric Readiness Score (range, 0-100) from the 2013 National Pediatric Readiness Project ED pediatric readiness assessment. Main Outcomes and Measures In-hospital mortality, with a secondary composite outcome of in-hospital mortality or complication. For the primary measurement tools used, the possible range of the AIS is 0 to 6, with 3 or higher indicating a serious injury; the possible range of the ISS is 0 to 75, with 16 or higher indicating serious overall injury. The weighted Pediatric Readiness Score examines and scores 6 domains; in this study, the lowest quartile included scores of 29 to 62 and the highest quartile included scores of 93 to 100. Results There were 372 004 injured children (239 273 [64.3%] boys; median age, 10 years [interquartile range, 4-15 years]), including 5700 (1.5%) who died in-hospital and 5018 (1.3%) who developed in-hospital complications. Subgroups included 50 440 children (13.6%) with an ISS of 16 or higher, 124 507 (33.5%) with any AIS score of 3 or higher, 57 368 (15.4%) with a head AIS score of 3 or higher, and 32 671 (8.8%) requiring early use of critical resources. Compared with EDs in the lowest weighted Pediatric Readiness Score quartile, children cared for in the highest ED quartile had lower in-hospital mortality (adjusted odds ratio [aOR], 0.58; 95% CI, 0.45-0.75), but not fewer complications (aOR for the composite outcome 0.88; 95% CI, 0.74-1.04). These findings were consistent across subgroups, strata, and multiple sensitivity analyses. If all children cared for in the lowest-readiness quartiles (1-3) were treated in an ED in the highest quartile of readiness, an additional 126 lives (95% CI, 97-154 lives) might be saved each year in these trauma centers. Conclusions and Relevance In this cohort study, injured children treated in high-readiness EDs had lower mortality compared with similar children in low-readiness EDs, but not fewer complications. These findings support national efforts to increase ED pediatric readiness in US trauma centers that care for children.
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Affiliation(s)
- Craig D. Newgard
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Amber Lin
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Lenora M. Olson
- National Emergency Medical Services for Children Data Analysis Resource Center, Department of Pediatrics, The University of Utah School of Medicine, Salt Lake City
| | - Jennifer N. B. Cook
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | | | - Nathan Kuppermann
- Department of Emergency Medicine, University of California, Davis School of Medicine, Sacramento
| | - Jeremy D. Goldhaber-Fiebert
- Centers for Health Policy, Primary Care, and Outcomes Research, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Susan Malveau
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - McKenna Smith
- Department of Biostatistics, The University of Utah School of Medicine, Salt Lake City
| | - Mengtao Dai
- Department of Pediatrics, The University of Utah School of Medicine, Salt Lake City
| | - Avery B. Nathens
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Nina E. Glass
- Department of Surgery, Rutgers New Jersey Medical School, Newark, New Jersey
| | - Peter C. Jenkins
- Department of Surgery, Indiana University School of Medicine, Indianapolis
| | - K. John McConnell
- Center for Health Systems Effectiveness, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Katherine E. Remick
- Departments of Pediatrics and Surgery, Dell Medical School, The University of Texas at Austin
| | - Hilary Hewes
- National Emergency Medical Services for Children Data Analysis Resource Center, Department of Pediatrics, The University of Utah School of Medicine, Salt Lake City
| | - N. Clay Mann
- Department of Pediatrics, The University of Utah School of Medicine, Salt Lake City
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Friedman J, Mann NC, Hansen H, Bourgois P, Braslow J, Bui AAT, Beletsky L, Schriger DL. Racial/Ethnic, Social, and Geographic Trends in Overdose-Associated Cardiac Arrests Observed by US Emergency Medical Services During the COVID-19 Pandemic. JAMA Psychiatry 2021; 78:886-895. [PMID: 34037672 PMCID: PMC8156174 DOI: 10.1001/jamapsychiatry.2021.0967] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
IMPORTANCE Provisional records from the US Centers for Disease Control and Prevention (CDC) through July 2020 indicate that overdose deaths spiked during the early months of the COVID-19 pandemic, yet more recent trends are not available, and the data are not disaggregated by month of occurrence, race/ethnicity, or other social categories. In contrast, data from emergency medical services (EMS) provide a source of information nearly in real time that may be useful for rapid and more granular surveillance of overdose mortality. OBJECTIVE To describe racial/ethnic, social, and geographic trends in EMS-observed overdose-associated cardiac arrests during the COVID-19 pandemic through December 2020 and assess the concordance with CDC-reported provisional total overdose mortality through May 2020. DESIGN, SETTING, AND PARTICIPANTS This cohort study included more than 11 000 EMS agencies in 49 US states that participate in the National EMS Information System and 83.7 million EMS activations in which patient contact was made. EXPOSURES Year and month of occurrence of overdose-associated cardiac arrest; patient race/ethnicity; census region and division; county-level urbanicity; and zip code-level racial/ethnic composition, poverty, and educational attainment. MAIN OUTCOMES AND MEASURES Overdose-associated cardiac arrests per 100 000 EMS activations with patient contact in 2020 were compared with a baseline of values from 2018 and 2019. Aggregate numbers of overdose-associated cardiac arrests and percentage increases were compared with provisional total mortality in CDC records from rolling 12-month windows with end months spanning January 2018 through July 2020. RESULTS Among 33.4 million EMS activations in 2020, 16.8 million (50.2%) involved female patients and 16.3 million (48.8%) involved non-Hispanic White individuals. Overdose-associated cardiac arrests were elevated by 42.1% nationally in 2020 (42.3 per 100 000 EMS activations at baseline vs 60.1 per 100 000 EMS activations in 2020). The highest percentage increases were seen among Latinx individuals (49.7%; 38.8 per 100 000 activations at baseline vs 58.1 per 100 000 activations in 2020) and Black or African American individuals (50.3%; 21.5 per 100 000 activations at baseline vs 32.3 per 100 000 activations in 2020), people living in more impoverished neighborhoods (46.4%; 42.0 per 100 000 activations at baseline vs 61.5 per 100 000 activations in 2020), and the Pacific states (63.8%; 33.1 per 100 000 activations at baseline vs 54.2 per 100 000 activations in 2020), despite lower rates at baseline for these groups. The EMS records were available 6 to 12 months ahead of CDC mortality figures and showed a high concordance (r = 0.98) for months in which both data sets were available. If the historical association between EMS-observed and total overdose mortality holds true, an expected total of approximately 90 632 (95% CI, 85 737-95 525) overdose deaths may eventually be reported by the CDC for 2020. CONCLUSIONS AND RELEVANCE In this cohort study, records from EMS agencies provided an effective manner to rapidly surveil shifts in US overdose mortality. Unprecedented overdose deaths during the pandemic necessitate investments in overdose prevention as an essential aspect of the COVID-19 response and postpandemic recovery. This is particularly urgent for more socioeconomically disadvantaged and racial/ethnic minority communities subjected to the compounded burden of disproportionate COVID-19 mortality and rising overdose deaths.
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Affiliation(s)
- Joseph Friedman
- Center for Social Medicine and Humanities, University of California, Los Angeles, Los Angeles,Medical Informatics Home Area, University of California, Los Angeles, Los Angeles
| | - N. Clay Mann
- Department of Pediatrics, School of Medicine, University of Utah, Salt Lake City
| | - Helena Hansen
- Center for Social Medicine and Humanities, University of California, Los Angeles, Los Angeles
| | - Philippe Bourgois
- Center for Social Medicine and Humanities, University of California, Los Angeles, Los Angeles
| | - Joel Braslow
- Center for Social Medicine and Humanities, University of California, Los Angeles, Los Angeles
| | - Alex A. T. Bui
- Medical Informatics Home Area, University of California, Los Angeles, Los Angeles,Department of Radiological Sciences, University of California, Los Angeles, Los Angeles
| | - Leo Beletsky
- School of Law, Northeastern University, Boston, Massachusetts,Department of Health Sciences, Northeastern University, Boston, Massachusetts,Health in Justice Action Lab, Northeastern University, Boston, Massachusetts
| | - David L. Schriger
- Department of Emergency Medicine, University of California, Los Angeles, Los Angeles
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Lerner EB, Browne LR, Studnek JR, Mann NC, Dai M, Hoffman CK, Pilkey D, Adelgais KM, Brown KM, Gaither JB, Leonard JC, Martin-Gill C, Nishijima DK, Owusu Ansah S, Shah ZS, Shah MI. A Novel Use of NEMSIS to Create a PECARN-Specific EMS Patient Registry. PREHOSP EMERG CARE 2021; 26:484-491. [PMID: 34232828 DOI: 10.1080/10903127.2021.1951407] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Background: Research networks need access to EMS data to conduct pilot studies and determine feasibility of prospective studies. Combining data across EMS agencies is complicated and costly. Leveraging the National EMS Information System (NEMSIS) to extract select agencies' data may be an efficient and cost-effective method of providing network-level data. Objective: Describe the process of creating a Pediatric Emergency Care Applied Research Network (PECARN) specific NEMSIS data set and determine if these data were nationally representative. Methods: We established data use agreements (DUAs) with EMS agencies participating in PECARN to allow for agency identification through NEMSIS. Using 2019 NEMSIS version 3.4.0 data for EMS events with patients 18 years old and younger, we compared PECARN NEMSIS data to national NEMSIS data. Analyzed variables were selected for their ability to characterize events. No statistical analyses were utilized due to the large sample, instead, differences of ±5% were deemed clinically meaningful. Results: DUAs were established for 19 EMS agencies, creating a PECARN data set with 305,188 EMS activations of which 17,478 (5.7%) were pediatric. Of the pediatric activations, 17,140 (98.1%) were initiated through 9-1-1 and 9,487 (55.4%) resulted in transport by the documenting agency. The national data included 36,288,405 EMS activations of which 2,152,849 (5.9%) were pediatric. Of the pediatric activations 1,704,141 (79.2%) were initiated through 9-1-1 and 1,055,504 (61.9%) were transported by the documenting agency. Age and gender distributions were similar between the two groups, but the PECARN-specific data under-represents Black and Latinx patients. Comparison of EMS provider primary impressions revealed that three of the five most common were similar with injury being the most prevalent for both data sets along with mental/behavioral health and seizure. Conclusion: We demonstrated that NEMSIS can be leveraged to create network specific data sets. PECARN's EMS data were similar to the national data, though racial/ethnic minorities and some primary impressions may be under-represented. Additionally, more EMS activations in PECARN study areas originated through 9-1-1 but fewer were transported by the documenting agency. This is likely related to the type of participating agencies, their ALS response level, and the diversity of the communities they serve.
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Handberry M, Bull-Otterson L, Dai M, Mann NC, Chaney E, Ratto J, Horiuchi K, Siza C, Kulkarni A, Gundlapalli AV, Boehmer TK. Changes in Emergency Medical Services Before and During the COVID-19 Pandemic in the United States, January 2018-December 2020. Clin Infect Dis 2021; 73:S84-S91. [PMID: 33956123 PMCID: PMC8135919 DOI: 10.1093/cid/ciab373] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Background As a result of the continuing surge of COVID-19, many patients have delayed or missed routine screening and preventive services. Medical conditions, such as coronary heart disease, mental health issues, and substance use disorder, may be identified later, leading to increases in patient morbidity and mortality. Methods The National Emergency Medical Services Information System (NEMSIS) data were used to assess 911 Emergency Medical Services (EMS) activations during 2018–2020. For specific activation types, the percentage of total activations was calculated per week and joinpoint analysis was used to identify changes over time. Results Since March 2020, the number of 911 emergency medical services (EMS) activations has decreased, while the percentages of on-scene death, cardiac arrest, and opioid use/overdose EMS activations were higher than pre-pandemic levels. During the early pandemic period, percentages of total EMS activations increased for on-scene death (from 1.3% to 2.4% during weeks 11–15), cardiac arrest (from 1.3% to 2.2% during weeks 11–15), and opioid use/overdose (from 0.6% to 1.1% during weeks 8–18); the percentages then declined, but remained above pre-pandemic levels through calendar week 52. Conclusions The COVID-19 pandemic has indirect consequences, such as relative increases in EMS activations for cardiac events and opioid use/overdose, possibly linked to disruptions is healthcare access and health-seeking behaviors. Increasing telehealth visits or other opportunities for patient-provider touch points for chronic disease and substance use disorders that emphasize counseling, preventive care, and expanded access to medications can disrupt delayed care-seeking during the pandemic and potentially prevent premature death.
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Affiliation(s)
- Maya Handberry
- Division of Health Informatics and Surveillance, Center for Surveillance, Epidemiology, and Laboratory Services, CDC, Atlanta, Georgia, USA
| | - Lara Bull-Otterson
- Division of Health Informatics and Surveillance, Center for Surveillance, Epidemiology, and Laboratory Services, CDC, Atlanta, Georgia, USA.,CDC COVID-19 Emergency Response, CDC, Atlanta, Georgia, USA
| | - Mengtao Dai
- NEMSIS Technical Assistant Center, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - N Clay Mann
- NEMSIS Technical Assistant Center, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Eric Chaney
- National Highway Traffic Safety Administration, Washington, DC, USA
| | - Jeff Ratto
- Division of Violence Prevention, National Center for Injury Prevention and Control, CDC, Atlanta, Georgia, USA
| | | | - Charlene Siza
- CDC COVID-19 Emergency Response, CDC, Atlanta, Georgia, USA
| | | | - Adi V Gundlapalli
- CDC COVID-19 Emergency Response, CDC, Atlanta, Georgia, USA.,Public Health Informatics Office, Center for Surveillance, Epidemiology, and Laboratory Services, CDC, Atlanta, Georgia, USA
| | - Tegan K Boehmer
- National Highway Traffic Safety Administration, Washington, DC, USA.,Public Health Informatics Office, Center for Surveillance, Epidemiology, and Laboratory Services, CDC, Atlanta, Georgia, USA.,United States Public Health Service Commissioned Corps, Rockville, Maryland, USA
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Shekhar AC, Effiong A, Ruskin KJ, Blumen I, Mann NC, Narula J. COVID-19 and the Prehospital Incidence of Acute Cardiovascular Events (from the Nationwide US EMS). Am J Cardiol 2020; 134:152-153. [PMID: 32873370 PMCID: PMC7414779 DOI: 10.1016/j.amjcard.2020.08.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 08/04/2020] [Indexed: 12/12/2022]
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Qualls C, Hewes HA, Mann NC, Dai M, Adelgais K. Documentation of Child Maltreatment by Emergency Medical Services in a National Database. PREHOSP EMERG CARE 2020; 25:675-681. [PMID: 32870747 DOI: 10.1080/10903127.2020.1817213] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND Child abuse and neglect (CAN) has an estimated annual incidence of 1.46% among those ≤3 years old. Prehospital providers (PHPs) report difficulties identifying CAN and the frequency in which PHPs document CAN during prehospital encounters of young children is not known. OBJECTIVE To report the percentage of CAN documentation by PHPs during encounters among children ≤3 years in a national dataset and describe the characteristics of this population. METHODS This is an analysis of concurrent cases in the 2017-18 National Emergency Medical Services Information System database. We identified children ≤3 years old with ICD-10-CM codes specific for CAN including codes for physical and sexual abuse as well as neglect. We examined patient demographics including race, gender, Emergency Medical Services (EMS) primary and secondary impression, associated symptoms, anatomic location of chief complaint, and cause of injury. Our primary outcome is the percentage of CAN reported as an EMS primary or secondary impression; secondary outcomes include proportion of children with each subtype of abuse, the description of patients by demographic information, anatomic location of injury, and associated symptoms. RESULTS There were 498,555 for children ≤3 years old, of which 522 had an impression of CAN (0.10%). Within our cohort, 43% were <1 year of age, 51% were male. The most common anatomic location of injury was general/global (29.7%), followed by head (23.5%) and extremity (14%). The most common symptoms reported by PHPs are those associated with injury including codes for injury, burn, fracture, cutaneous findings, hemorrhage, or pain (n = 244, 63%). Pain is the most commonly reported symptom (n = 110, 21%). Few encounters specified vomiting, seizure, or disordered breathing as symptoms (1%, 1%, and 5.4%, respectively). Interestingly, 28.2% (27/124) of cases in our cohort were related to sexual abuse. CONCLUSIONS The percentage of PHP documentation of CAN among children ≤3 years of age is very low. Among those with an EMS primary impression of CAN, documentation is primarily associated with findings of injury whereas documentation of nonspecific symptoms such as vomiting and seizure is infrequent. These findings suggest that recognition of abuse primarily occurs in young patients with overt signs of trauma.
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Okubo M, Chan HK, Callaway CW, Mann NC, Wang HE. Characteristics of paediatric out-of-hospital cardiac arrest in the United States. Resuscitation 2020; 153:227-233. [DOI: 10.1016/j.resuscitation.2020.04.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Revised: 03/24/2020] [Accepted: 04/12/2020] [Indexed: 10/24/2022]
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Lerner EB, Newgard CD, Mann NC. Effect of the Coronavirus Disease 2019 (COVID-19) Pandemic on the U.S. Emergency Medical Services System: A Preliminary Report. Acad Emerg Med 2020; 27:693-699. [PMID: 32557999 PMCID: PMC7323429 DOI: 10.1111/acem.14051] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 06/09/2020] [Accepted: 06/10/2020] [Indexed: 01/17/2023]
Abstract
Background Our objective was to quantify trends in emergency medical services (EMS) incidents as the effects of the COVID‐19 pandemic spread across the United States and to determine if there was an increase in EMS‐attended deaths. Methods We conducted a 3‐year comparative retrospective cohort analysis of data from the National EMS Information System. Data were included if care was provided between the 40th and 21st weeks of the next year and compared over 3 years. We included incidents identified through 9‐1‐1 where patient contact was made. The total number of EMS incidents per week was used as the denominator to calculate the rate of patient deaths and possible injury. We assessed for temporal and seasonal trends. Results Starting in the 10th week of 2020 there was a decrease in the number of EMS activations in the United States compared to the prior weeks and the same time period in previous years. The number of activations between week 10 and week 16 decreased by 140,292 or 26.1%. The portion of EMS activations reporting a patient disposition of death nearly doubled between the 11th and 15th weeks of 2020 (1.49%–2.77% of all activations). The number of EMS activations documenting a possible injury decreased from 18.43% to 15.27% between weeks 10 and 13. Conclusion We found that early in the COVID‐19 outbreak there was a significant decrease in the number of EMS responses across the United States. Simultaneously the rate of EMS‐attended death doubled, while the rate of injuries decreased.
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Affiliation(s)
- E. Brooke Lerner
- From the Department of Emergency Medicine University at Buffalo Buffalo NY USA
| | - Craig D. Newgard
- the Department of Emergency Medicine Center for Policy and Research in Emergency Medicine Oregon Health & Science University Portland OR USA
| | - N. Clay Mann
- and the Department of Pediatrics University of Utah School of Medicine Salt Lake City UT USA
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Chan HK, Okubo M, Callaway CW, Mann NC, Wang HE. Characteristics of adult out-of-hospital cardiac arrest in the National Emergency Medical Services Information System. J Am Coll Emerg Physicians Open 2020; 1:445-452. [PMID: 33000069 PMCID: PMC7493527 DOI: 10.1002/emp2.12106] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 04/25/2020] [Accepted: 04/28/2020] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND The national incidence and characteristics of out-of-hospital cardiac arrest in the United States is unclear. We sought to describe the national characteristics of adult out-of-hospital cardiac arrest reported in the National Emergency Medical Services Information System (NEMSIS). METHODS We used 2016 NEMSIS data, consisting of most emergency medical services (EMS) responses from 46 states and territories. We limited the analysis to adult (age ≥18 years) emergency "9-1-1" events. We defined out-of-hospital cardiac arrest as: (1) patient condition reported as cardiac arrest, (2) EMS reported attempted resuscitation of cardiac arrest, (3) EMS performance of cardiopulmonary resuscitation (CPR), or (4) EMS performance of defibrillation. We determined the incidence of adult out-of-hospital cardiac arrest among EMS responses. We also determined patient demographics (age, sex, race, ethnicity, location, US census region, and urbanicity), response characteristics (dispatch complaint and elapsed time) and clinical interventions (medications and procedures) of adult out-of-hospital cardiac arrest. We analyzed the data using descriptive techniques, calculating binomial proportions with exact 95% confidence intervals (CI). RESULTS Among 18,679,873 adult 9-1-1 responses, there were 224,992 with patient condition cardiac arrest, 344,274 with EMS-reported attempted cardiac arrest resuscitation, 149,775 with EMS performance of CPR, and 185,388 cases with EMS performance of defibrillation, resulting in a total of 574,824 out-of-hospital cardiac arrest (incidence 30.8 per 1000 EMS 9-1-1 responses, 95% CI = 30.69-30.85). Among identified out-of-hospital cardiac arrest responses, most involved patients who were older (mean = 62.4 ± 20.1 years). Most out-of-hospital cardiac arrest occurred at home (58.8%), in the South census region (65.4%), and in urban settings (79.8%). The most commonly reported medications used in out-of-hospital cardiac arrest were: epinephrine (22.5%), amiodarone (2.9%), sodium bicarbonate (6.2%), glucose (3.0%), and naloxone (5.1%). Commonly reported procedures included CPR (26.1%), orotracheal intubation (14.2%), bag-valve-mask ventilation (10.1%), manual defibrillation (29.3%) and automated external defibrillation (5.6%). Out-of-hospital cardiac arrest EMS treatment times were: elapsed response time (median = 7 minutes [interquartile range (IQR) = 5-10]), scene time (median = 17 minutes [IQR = 12-25]), and elapsed transport time (median = 11 minutes [IQR = 6-17]). CONCLUSIONS Using information available in the 2016 NEMSIS data, we estimate that there were over 570,000 reported adult out-of-hospital cardiac arrests in the United States. These results highlight the challenges of characterizing the epidemiology of adult out-of-hospital cardiac arrest in the United States.
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Affiliation(s)
- Hei Kit Chan
- Department of Emergency Medicine, Department of Biostatistics The University of Texas Health Science Center at Houston Houston Texas USA
| | - Masashi Okubo
- Department of Emergency Medicine University of Pittsburgh Pittsburgh Pennsylvania USA
| | - Clifton W Callaway
- Department of Emergency Medicine University of Pittsburgh Pittsburgh Pennsylvania USA
| | - N Clay Mann
- Department of Pediatrics University of Utah Salt Lake City Utah USA
| | - Henry E Wang
- Department of Emergency Medicine The University of Texas Health Science Center at Houston Houston Texas USA
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Byrne JP, Mann NC, Dai M, Mason SA, Karanicolas P, Rizoli S, Nathens AB. Association Between Emergency Medical Service Response Time and Motor Vehicle Crash Mortality in the United States. JAMA Surg 2020; 154:286-293. [PMID: 30725080 DOI: 10.1001/jamasurg.2018.5097] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance Motor vehicle crashes (MVCs) are a leading public health concern. Emergency medical service (EMS) response time is a modifiable, system-level factor with the potential to influence trauma patient survival. The relationship between EMS response time and MVC mortality is unknown. Objectives To measure the association between EMS response times and MVC mortality at the population level across US counties. Design, Setting, and Study Population This population-based study included MVC-related deaths in 2268 US counties, representing an estimated population of 239 464 121 people, from January 1, 2013, through December 31, 2015. Data were analyzed from October 1, 2017, through April 30, 2018. Exposure The median EMS response time to MVCs within each county (county response time), derived from data collected by the National Emergency Medical Service Information System. Main Outcomes and Measures The county rate of MVC-related death, calculated using crash fatality data recorded in the Fatality Analysis Reporting System of the National Highway Traffic Safety Administration. Results During the study period, 2 214 480 ambulance responses to MVCs were identified (median, 229 responses per county [interquartile range (IQR), 73-697 responses per county]) in 2268 US counties. The median county response time was 9 minutes (IQR, 7-11) minutes. Longer response times were significantly associated with higher rates of MVC mortality (≥12 vs <7 minutes; mortality rate ratio, 1.46; 95% CI, 1.32-1.61) after adjusting for measures of rurality, on-scene and transport times, access to trauma resources, and traffic safety laws. This finding was consistent in both rural/wilderness and urban/suburban settings, where a significant proportion of MVC fatalities (population attributable fraction: rural/wilderness, 9.9%; urban/suburban, 14.1%) were associated with prolonged response times (defined by the median value, ≥10 minutes and ≥7 minutes, respectively). Conclusions and Relevance Among 2268 US counties, longer EMS response times were associated with higher rates of MVC mortality. A significant proportion of MVC-related deaths were associated with prolonged response times in both rural/wilderness and urban/suburban settings. These findings suggest that trauma system-level efforts to address regional disparities in MVC mortality should evaluate EMS response times as a potential contributor.
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Affiliation(s)
- James P Byrne
- Sunnybrook Research Institute, Sunnybrook Health Sciences Center, Toronto, Ontario, Canada.,Clinical Epidemiology Program, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Division of General Surgery, University of Toronto, Toronto, Ontario, Canada
| | - N Clay Mann
- National Emergency Medical Service Information System Technical Assistance Center, Salt Lake City, Utah.,Department of Pediatrics, University of Utah School of Medicine, Salt Lake City
| | - Mengtao Dai
- National Emergency Medical Service Information System Technical Assistance Center, Salt Lake City, Utah
| | - Stephanie A Mason
- Sunnybrook Research Institute, Sunnybrook Health Sciences Center, Toronto, Ontario, Canada.,Clinical Epidemiology Program, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Division of General Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Paul Karanicolas
- Sunnybrook Research Institute, Sunnybrook Health Sciences Center, Toronto, Ontario, Canada.,Clinical Epidemiology Program, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Division of General Surgery, University of Toronto, Toronto, Ontario, Canada.,Department of Surgery, Sunnybrook Health Sciences Center, University of Toronto, Toronto, Ontario, Canada
| | - Sandro Rizoli
- Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Avery B Nathens
- Sunnybrook Research Institute, Sunnybrook Health Sciences Center, Toronto, Ontario, Canada.,Clinical Epidemiology Program, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Division of General Surgery, University of Toronto, Toronto, Ontario, Canada.,Department of Surgery, Sunnybrook Health Sciences Center, University of Toronto, Toronto, Ontario, Canada
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Cui ER, Beja-Glasser A, Fernandez AR, Grover JM, Mann NC, Patel MD. Emergency Medical Services Time Intervals for Acute Chest Pain in the United States, 2015–2016. PREHOSP EMERG CARE 2019; 24:557-565. [DOI: 10.1080/10903127.2019.1676346] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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McCarthy ML, Haynes S, Li X, Mann NC, Newgard CD, Lewis JF, Simon AE, Wood SF, Zeger SL. "Make the Call, Don't Miss a Beat" Campaign: Effect on Emergency Medical Services Use in Women with Heart Attack Signs. Womens Health Issues 2019; 29:392-399. [PMID: 31350017 DOI: 10.1016/j.whi.2019.06.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 06/10/2019] [Accepted: 06/12/2019] [Indexed: 11/30/2022]
Abstract
BACKGROUND Our objective was to evaluate the relationship between the "Make The Call, Don't Miss a Beat" national mass media campaign and emergency medical services (EMS) use among women with possible heart attack symptoms. METHODS We linked campaign TV public service advertisement data with national EMS activation data for 2010 to 2014. We identified EMS activations (i.e., responses) for possible heart attack symptoms and for unintentional injuries for both women and men. We estimated the impact of the campaign on the fraction of the 1.7 to 15.9 million activations of women with possible heart attack symptoms compared with 1.9 million female activations for unintentional injuries within each EMS agency and month using quasi-binomial logistic regression controlling for time and state. RESULTS Of the 3,175 U S. counties, 90% were exposed to the campaign. However, less than 2% of U.S. counties reached moderate TV exposure (≥300 gross rating points) during the entire campaign period. We did not observe an increase in the fraction of female activations for possible heart attack during periods or in counties with higher campaign exposure. CONCLUSIONS This mass media campaign that relied heavily on TV public service advertisements was not associated with increased EMS use by women with possible heart attack symptoms, even among counties that were more highly exposed to the campaign advertisements.
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Affiliation(s)
- Melissa L McCarthy
- Department of Health Policy and Management, George Washington University Milken Institute School of Public Health, Washington, District of Columbia.
| | - Suzanne Haynes
- Department of Health and Human Services, Office on Women's Health, Washington, District of Columbia
| | - Ximin Li
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - N Clay Mann
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Craig D Newgard
- Department of Emergency Medicine, Center for Policy and Research in Emergency Medicine, Oregon Health & Science University, Portland, Oregon
| | - Jannet F Lewis
- Division of Cardiology, Department of Internal Medicine, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia
| | - Alan E Simon
- Department of Health and Human Services, Office on Women's Health, Washington, District of Columbia
| | - Susan F Wood
- Department of Health Policy and Management, George Washington University Milken Institute School of Public Health, Washington, District of Columbia
| | - Scott L Zeger
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
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Lewis JF, Zeger SL, Li X, Mann NC, Newgard CD, Haynes S, Wood SF, Dai M, Simon AE, McCarthy ML. Gender Differences in the Quality of EMS Care Nationwide for Chest Pain and Out-of-Hospital Cardiac Arrest. Womens Health Issues 2019; 29:116-124. [DOI: 10.1016/j.whi.2018.10.007] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 09/06/2018] [Accepted: 10/17/2018] [Indexed: 01/28/2023]
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Wei R, Mann NC, Dai M, Hsia RY. Injury-based Geographic Access to Trauma Centers. Acad Emerg Med 2019; 26:192-204. [PMID: 30019802 DOI: 10.1111/acem.13518] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2018] [Revised: 07/06/2018] [Accepted: 07/10/2018] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Previous studies examining access to trauma care use patient residence as a proxy for location and need for services, which could result in a flawed understanding of access to trauma centers. The objective of this study was to examine the geographic access of the U.S. population to trauma centers based on trauma incident locations. METHODS We conducted a cross-sectional study using 9-1-1 emergency medical services activations associated with traumatic injury from the 2014 National Emergency Medical Services Information System and trauma centers participating in the 2014 American Hospital Association Annual Survey. The measures included the percentage of trauma incidents that could reach a trauma center within 60 minutes by ground ambulance, capacity-to-demand ratio for each trauma center, and overall trauma care accessibility ratio for each U.S. zip code. RESULTS A total of 92.9% of all trauma incidents could be transported to an existing trauma center within 60 minutes by ground ambulance, and 85.3% could be transported to a Level I or II trauma center within this time frame in the 32 study states. While 94.7% of trauma incidents in the Northeast area could be transported to a Level I or II trauma center within a 60-minute driving time, the capacity-to-demand ratios of trauma centers in this region were low, indicating high utilization of those trauma center resources. By using the accessibility measure, we found that some Midwestern and Southern states had higher amounts of accessible trauma center resources relative to the number of injuries than Northeastern states. CONCLUSIONS These findings suggest that greater access to trauma care and significant variations can be observed throughout the 32 study states when using trauma incident location rather than patient residence to calculate access to trauma care. The proposed capacity-to-demand ratio and accessibility ratio can be applied to many other needs assessments in health care.
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Affiliation(s)
- Ran Wei
- School of Public Policy University of California RiversideCAUSA
| | - N. Clay Mann
- Department of Pediatrics University of Utah School of Medicine Salt Lake City UTUSA
| | - Mengtao Dai
- Department of Pediatrics University of Utah School of Medicine Salt Lake City UTUSA
| | - Renee Y. Hsia
- Department of Emergency Medicine University of California San Francisco San Francisco CAUSA
- Philip R. Lee Institute for Health Policy Studies University of California San Francisco San Francisco CA USA
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Abstract
Prehospital use of ventilators by emergency medical services (EMS) during 911 calls is increasing. This study described the impact of prehospital mechanical ventilation on prehospital time intervals and on mortality.This retrospective matched-cohort study used 4 consecutive public releases of the US National Emergency Medical Services Information System dataset (2011-2014). EMS activations with recorded ventilator use were randomly matched with activations without ventilator use (1 to 1) on age (range ± 2 years), gender, provider's primary impression, urbanicity, and level of service.A total of 5740 EMS activations were included (2870 patients per group). Patients in the ventilator group had a mean age of 69.1 (±17.3) years with 49.4% males, similar to the non-ventilator group. Activations were mostly in urban settings (83.8%) with an advanced life support level of care (94.5%). Respiratory distress (77.8%) and cardiac arrest (6.8%) were the most common provider's primary impressions. Continuous positive airway pressure was the most common mode of ventilation used (79.2%).Mortality was higher at hospital discharge (29.0% vs 21.1%, P = .01) but not at emergency department (ED) discharge (8.4% vs 7.4%, P = .19) with prehospital ventilator use. Both total on-scene time and total prehospital time intervals increased with reported ventilator use (4.10 minutes (95% confidence interval [CI]: 2.71-5.49) and 3.59 minutes (95% CI: 3.04-4.14), respectively).Ventilator use by EMS agencies in 911 calls in the US is associated with higher prehospital time intervals without observed impact on survival to ED discharge. More EMS outcome research is needed to provide evidence-based prehospital care guidelines and targeted resource utilization.
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Affiliation(s)
- Mazen J. El Sayed
- Department of Emergency Medicine
- Emergency Medical Services and Prehospital Care Program
| | - Hani Tamim
- Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon
| | | | - N. Clay Mann
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT
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Kaufmann MA, Nelson DR, Kaushik P, Mann NC, Mitchell B. Hypoglycemia Emergencies: Factors Associated with Prehospital Care, Transportation Status, Emergency Department Disposition, and Cost. PREHOSP EMERG CARE 2018; 23:453-464. [PMID: 30259772 DOI: 10.1080/10903127.2018.1528322] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Objectives: The objectives of this study were to evaluate demographic/clinical characteristics and treatment/transportation decisions by emergency medical services (EMS) for patients with hypoglycemia and link EMS activations to patient disposition, outcomes, and costs to the emergency medical system. This evaluation was to identify potential areas where improvements in prehospital healthcare could be made. Methods: This was a retrospective analysis of the National Emergency Medical Services Information System (NEMSIS) registry and three national surveys: Nationwide Emergency Department Sample (NEDS), National Hospital Ambulatory Medical Care Survey (NHAMCS), and Medical Expenditure Panel Survey (MEPS) from 2013, to examine care of hypoglycemia from the prehospital and the emergency department (ED) perspectives. Results: The study estimated 270,945 hypoglycemia EMS incidents from the NEMSIS registry. Treatments were consistent with national guidelines (i.e., oral glucose, intravenous [IV] dextrose, or glucagon), and patients were more likely to be transported to the ED if the incident was in a rural setting or they had other chief concerns related to the pulmonary or cardiovascular system. Use of IV dextrose decreased the likelihood of transportation. Approximately 43% of patients were not transported from the scene. Data from the NEDS survey estimated 258,831 ED admissions for hypoglycemia, and 41% arrived by ambulance. The median ambulance expenditure was $664 ± 98. From the ED, 74% were released. The average ED charge that did not lead to hospital admission was $3106 ± 86. Increased odds of overnight admission included infection and acute renal failure. Conclusions: EMS activations for hypoglycemia are sizeable and yet a considerable proportion of patients are not transported to or are discharged from the ED. Seemingly, these events resolved and were not medically complex. It is possible that implementation and appropriate use of EMS treat-and-release protocols along with utilizing programs to educate patients on hypoglycemia risk factors and emergency preparedness could partially reduce the burden of hypoglycemia to the healthcare system.
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Hsia RY, Huang D, Mann NC, Colwell C, Mercer MP, Dai M, Niedzwiecki MJ. A US National Study of the Association Between Income and Ambulance Response Time in Cardiac Arrest. JAMA Netw Open 2018; 1:e185202. [PMID: 30646394 PMCID: PMC6324393 DOI: 10.1001/jamanetworkopen.2018.5202] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
IMPORTANCE Emergency medical services (EMS) provide critical prehospital care, and disparities in response times to time-sensitive conditions, such as cardiac arrest, may contribute to disparities in patient outcomes. OBJECTIVES To investigate whether ambulance 9-1-1 times were longer in low-income vs high-income areas and to compare response times with national benchmarks of 4, 8, or 15 minutes across income quartiles. DESIGN, SETTING, AND PARTICIPANTS A retrospective cross-sectional study was performed of the 2014 National Emergency Medical Services Information System data in June 2017 using negative binomial and logistic regressions to examine the association between zip code-level income and EMS response times. The study used ambulance 9-1-1 response data for out-of-hospital cardiac arrest from 46 of 50 state repositories (92.0%) in the United States. The sample included 63 600 cardiac arrest encounters of patients who did not die on scene and were transported to the hospital. MAIN OUTCOMES AND MEASURES Four time measures were examined, including response time, on-scene time, transport time, and total EMS time. The study compared response times with EMS response time benchmarks for responding to cardiac arrest calls within 4, 8, and 15 minutes. RESULTS The study sample included 63 600 cardiac arrest encounters of patients (mean [SD] age, 60.6 [19.0] years; 57.9% male), with 37 550 patients (59.0%) from high-income areas and 8192 patients (12.9%) from low-income areas. High-income areas had greater proportions of white patients (70.1% vs 62.2%), male patients (58.8% vs 54.1%), privately insured patients (29.4% vs 15.9%), and uninsured patients (15.3% vs 7.9%), while low-income areas had a greater proportion of Medicaid-insured patients (38.3% vs 15.8%). The mean (SD) total EMS time was 37.5 (13.6) minutes in the highest zip code income quartile and 43.0 (18.8) minutes in the lowest. After controlling for urban zip code, weekday, and time of day in regression analyses, total EMS time remained 10% longer (95% CI, 9%-11%; P < .001), translating to 3.8 minutes longer in the poorest zip codes. The EMS response time to patients in high-income zip codes was more likely to meet 8-minute and 15-minute cutoffs compared with low-income zip codes. CONCLUSIONS AND RELEVANCE Patients with cardiac arrest from the poorest neighborhoods had longer EMS times compared with those from the wealthiest, and response times were less likely to meet national benchmarks in low-income areas, which may lead to increased disparities in prehospital delivery of care over time.
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Affiliation(s)
- Renee Y. Hsia
- Department of Emergency Medicine, University of California, San Francisco
- Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco
| | - Delphine Huang
- Department of Emergency Medicine, University of California, San Francisco
| | - N. Clay Mann
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City
| | | | - Mary P. Mercer
- Department of Emergency Medicine, University of California, San Francisco
| | - Mengtao Dai
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City
| | - Matthew J. Niedzwiecki
- Department of Emergency Medicine, University of California, San Francisco
- Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco
- Mathematica Policy Research, Oakland, California
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Klassen AB, Marshall M, Dai M, Mann NC, Sztajnkrycer MD. Emergency Medical Services Response to Mass Shooting and Active Shooter Incidents, United States, 2014-2015. PREHOSP EMERG CARE 2018; 23:159-166. [PMID: 30118358 DOI: 10.1080/10903127.2018.1484970] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
BACKGROUND The purpose of the current study was to describe the injury patterns, EMS response and interventions to mass shooting (MS) and active shooter (AS) incidents. METHODS Retrospective analysis of 2014-2015 National Emergency Medical Services Information System (NEMSIS) data sets. Date, time, and location for MS incidents were obtained from the Gun Violence Archive and then correlated with NEMSIS data set records. AS incidents were identified through Federal Bureau of Investigation (FBI) data. A de-identified database was generated for final analysis. RESULTS A total of 608 MS incidents were identified, of which 19 were also classified as AS incidents. NEMSIS patient care data was available for 652 EMS activations representing 226 unique MS incidents. Thirty-four EMS responses to 5 unique AS incidents were similarly identified: 76% of victims were male and 80% of victims were African American. Dispatch complaint did not suggest shooting (potentially dangerous scene environment) in 15.9% of records. The most commonly reported incident locations for MS were Street/Highway (38.2%) and Home/Residence (32.4%). Location of wounds included extremities (49%), chest (12%), and head/neck (13%). Tourniquet use was documented in 6 victims. 35.9% of victims were transported to the closest facility. CONCLUSIONS MS and AS incidents are prevalent in the United States. Despite the fact that extremity wounds were common, documented EMS tourniquet use was uncommon. While MS events are high risk for responders, dispatch information was lacking in almost 15% of records. Responding EMS agencies were diverse, emphasizing the need to ensure all EMS providers are prepared to respond to MS incidents.
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Benoit SR, Kahn HS, Geller AI, Budnitz DS, Mann NC, Dai M, Gregg EW, Geiss LS. Diabetes-Related Emergency Medical Service Activations in 23 States, United States 2015. PREHOSP EMERG CARE 2018; 22:705-712. [PMID: 29648909 DOI: 10.1080/10903127.2018.1456582] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
OBJECTIVE The use of emergency medical services (EMS) for diabetes-related events is believed to be substantial but has not been quantified nationally despite the diverse acute complications associated with diabetes. We describe diabetes-related EMS activations in 2015 among people of all ages from 23 U.S. states. METHODS We used data from 23 states that reported ≥95% of their EMS activations to the U.S. National Emergency Medical Services Information System (NEMSIS) in 2015. A diabetes-related EMS activation was defined using coded EMS provider impressions of "diabetes symptoms" and coded complaints recorded by dispatch of "diabetic problem." We described activations by type of location, urbanicity, U.S. Census Division, season, and time of day; and patient-events by age category, race/ethnicity, disposition, and treatment with glucose. Crude and age-adjusted diabetes-related EMS patient-level event rates were calculated for adults ≥18 years of age with diagnosed diabetes using the Behavioral Risk Factor Surveillance System to estimate the population denominator. RESULTS Of 10,324,031 relevant EMS records, 241,495 (2.3%) were diabetes-related activations, which involved over 235,000 hours of service. Most activations occurred in urban or suburban environ- ments (86.4%), in the home setting (73.5%), and were slightly more frequent in the summer months. Most patients (72.6%) were ≥45 years of age and over one-half (55.4%) were transported to the emergency department. The overall age-adjusted diabetes-related EMS event rate was 33.9 per 1,000 persons with diagnosed diabetes; rates were highest in patients 18-44 years of age, males, and non-Hispanic blacks and varied by U.S. Census Division. CONCLUSIONS Diabetes results in a substantial burden on EMS resources. Collection of more detailed diabetes complication information in NEMSIS may help facilitate EMS resource planning and prevention strategies.
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Abstract
IMPORTANCE Historically, pain management in the prehospital setting, specifically pediatric pain management, has been inadequate despite many EMS (emergency medical services) transports related to traumatic injury with pain noted as a symptom. The National Emergency Services Information System (NEMSIS) database offers the largest national repository of prehospital data, and can be used to assess current patterns of EMS pain management across the country. OBJECTIVES To analyze prehospital management of pain using NEMSIS data, and to assess if variables such as patient age and/or race/ethnicity are associated with disparity in pain treatment. DESIGN/SETTING/PARTICIPANTS A retrospective descriptive study over a three-year period (2012-2014) of the NEMSIS database for patients evaluated for three potentially painful medical impressions (fracture, burn, penetrating injury) to assess the presence of documented pain as a symptom, and if patients received treatment with analgesic medications. Results were analyzed according to type of pain medication given, age categories, and race/ethnicity of the patients. MAIN OUTCOMES Percentage of EMS transports documenting the three painful impressions that had pain documented as a symptom, received any of the six pain medications, and the disparity in documentation and treatment by age and race/ethnicity. RESULTS There were 276,925 EMS records in the NEMSIS database that met inclusion criteria. Pain was listed as a primary or associated symptom for 29.5% of patients, and the youngest children (0-3 years) were least likely to have pain documented as a symptom (14.6%). Only 15.6% of all activations documented the receipt of prehospital pain medications. Children (<15 years) received pain medication 14.8% [95% CI 14.33, 15.34] of the time versus adults (≥15 years) 15.6% [95% CI 15.48, 15.76, p = 0.004]. Morphine and fentanyl were the most commonly administered medications to all age groups. Black patients were less likely to receive pain medication than other racial groups. CONCLUSIONS Documentation of pain as a symptom and pain treatment continue to be infrequent in the prehospital setting in all age groups, especially young children. There appears to be a racial disparity with Black patients less often treated with analgesics. The broad incorporation of national NEMSIS data suggests that these inadequacies are a widespread challenge deserving further attention.
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Duong HV, Herrera LN, Moore JX, Donnelly J, Jacobson KE, Carlson JN, Mann NC, Wang HE. National Characteristics of Emergency Medical Services Responses for Older Adults in the United States. PREHOSP EMERG CARE 2017; 22:7-14. [PMID: 28862480 DOI: 10.1080/10903127.2017.1347223] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVE Older adults, those aged 65 and older, frequently require emergency care. However, only limited national data describe the Emergency Medical Services (EMS) care provided to older adults. We sought to determine the characteristics of EMS care provided to older adults in the United States. METHODS We used data from the 2014 National Emergency Medical Services Information System (NEMSIS), encompassing EMS response data from 46 States and territories. We excluded EMS responses for children <18 years, interfacility transports, intercepts, non-emergency medical transports, and standby responses. We defined older adults as age ≥65 years. We compared patient demographics (age, sex, race, primary payer), response characteristics (dispatch time, location type, time intervals), and clinical course (clinical impression, injury, procedures, medications) between older and younger adult EMS emergency 9-1-1 responses. RESULTS During the study period there were 20,212,245 EMS emergency responses. Among the 16,116,219 adult EMS responses, there were 6,569,064 (40.76%) older and 9,547,155 (59.24%) younger adults. Older EMS patients were more likely to be white and the EMS incident to be located in healthcare facilities (clinic, hospital, nursing home). Compared with younger patients, older EMS patients were more likely to present with syncope (5.68% vs. 3.40%; OR 1.71; CI: 1.71-1.72), cardiac arrest/rhythm disturbance (3.27% vs. 1.69%; OR 1.97; CI: 1.96-1.98), stroke (2.18% vs. 0.74%; OR 2.99; CI: 2.96-3.02) and shock (0.77% vs. 0.38%; OR 2.02; CI: 2.00-2.04). Common EMS interventions performed on older persons included intravenous access (32.02%), 12-lead ECG (14.37%), CPR (0.87%), and intubation (2.00%). The most common EMS drugs administered to older persons included epinephrine, atropine, furosemide, amiodarone, and albuterol or ipratropium. CONCLUSION One of every three U.S. EMS emergency responses involves older adults. EMS personnel must be prepared to care for the older patient.
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Newgard CD, Fu R, Bulger E, Hedges JR, Mann NC, Wright DA, Lehrfeld DP, Shields C, Hoskins G, Warden C, Wittwer L, Cook JNB, Verkest M, Conway W, Somerville S, Hansen M. Evaluation of Rural vs Urban Trauma Patients Served by 9-1-1 Emergency Medical Services. JAMA Surg 2017; 152:11-18. [PMID: 27732713 DOI: 10.1001/jamasurg.2016.3329] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Importance Despite a large rural US population, there are potential differences between rural and urban regions in the processes and outcomes following trauma. Objectives To describe and evaluate rural vs urban processes of care, injury severity, and mortality among injured patients served by 9-1-1 emergency medical services (EMS). Design, Setting, and Participants This was a preplanned secondary analysis of a prospective cohort enrolled from January 1 through December 31, 2011, and followed up through hospitalization. The study included 44 EMS agencies transporting to 28 hospitals in 2 rural and 5 urban counties in Oregon and Washington. A population-based, consecutive sample of 67 047 injured children and adults served by EMS (1971 rural and 65 076 urban) was enrolled. Among the 53 487 patients transported by EMS, a stratified probability sample of 17 633 patients (1438 rural and 16 195 urban) was created to track hospital outcomes (78.9% with in-hospital follow-up). Data analysis was performed from June 12, 2015, to May 20, 2016. Exposures Rural was defined at the county level by 60 minutes or more driving proximity to the nearest level I or II trauma center and/or rural designation in the Centers for Medicare & Medicaid Services ambulance fee schedule by zip code. Main Outcomes and Measures Mortality (out-of-hospital and in-hospital), need for early critical resources, and transfer rates. Results Of the 53 487 injured patients transported by EMS (17 633 patients in the probability sample), 27 535 were women (51.5%); mean (SD) age was 51.6 (26.1) years. Rural vs urban sensitivity of field triage for identifying patients requiring early critical resources was 65.2% vs 80.5%, and only 29.4% of rural patients needing critical resources were initially transported to major trauma centers vs 88.7% of urban patients. After accounting for transfers, 39.8% of rural patients requiring critical resources were cared for in major trauma centers vs 88.7% of urban patients. Overall mortality did not differ between rural and urban regions (1.44% vs 0.89%; P = .09); however, 89.6% of rural deaths occurred within 24 hours compared with 64% of urban deaths. Rural regions had higher transfer rates (3.2% vs 2.7%) and longer transfer distances (median, 97.4 km; interquartile range [IQR], 51.7-394.5 km; range, 47.8-398.6 km vs 22.5 km; IQR, 11.6-24.6 km; range, 3.5-97.4 km). Conclusions and Relevance Most high-risk trauma patients injured in rural areas were cared for outside of major trauma centers and most rural trauma deaths occurred early, although overall mortality did not differ between regions. There are opportunities for improved timeliness and access to major trauma care among patients injured in rural regions.
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Affiliation(s)
- Craig D Newgard
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Rongwei Fu
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland2School of Public Health, Oregon Health & Science University, Portland
| | - Eileen Bulger
- Department of Surgery, University of Washington, Seattle
| | - Jerris R Hedges
- John A. Burns School of Medicine, University of Hawaii, Honolulu
| | - N Clay Mann
- Intermountain Injury Control Research Center, Department of Pediatrics, University of Utah, Salt Lake City
| | - Dagan A Wright
- School of Public Health, Oregon Health & Science University, Portland6Injury and Violence Prevention Section, Oregon Health Authority, Portland
| | - David P Lehrfeld
- Emergency Medical Services & Trauma Systems, Oregon Health Authority, Portland
| | - Carol Shields
- Skamania County Emergency Medical Services, Stevenson, Washington
| | - Gregory Hoskins
- Skamania County Emergency Medical Services, Stevenson, Washington9PeaceHealth Southwest Medical Center, Vancouver, Washington
| | - Craig Warden
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Lynn Wittwer
- Clark Regional Emergency Services Agency, Vancouver, Washington
| | - Jennifer N B Cook
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Michael Verkest
- American Medical Response, Portland, Oregon12Clackamas County Fire District 1, Milwaukee, Oregon
| | | | | | - Matthew Hansen
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
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Brice JH, Shofer FS, Cowden C, Lerner EB, Psioda M, Arasaratanam M, Mann NC, Fernandez AR, Waller A, Moss C, Mian M. Evaluation of the Implementation of the Trauma Triage and Destination Plan on the Field Triage of Injured Patients in North Carolina. PREHOSP EMERG CARE 2017; 21:591-604. [DOI: 10.1080/10903127.2017.1308606] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Abstract
BACKGROUND Large marathons frequently involve widespread road closures and infrastructure disruptions, which may create delays in emergency care for nonparticipants with acute medical conditions who live in proximity to marathon routes. METHODS We analyzed Medicare data on hospitalizations for acute myocardial infarction or cardiac arrest among Medicare beneficiaries (≥65 years of age) in 11 U.S. cities that were hosting major marathons during the period from 2002 through 2012 and compared 30-day mortality among the beneficiaries who were hospitalized on the date of a marathon, those who were hospitalized on the same day of the week as the day of the marathon in the 5 weeks before or the 5 weeks after the marathon, and those who were hospitalized on the same day as the marathon but in surrounding ZIP Code areas unaffected by the marathon. We also analyzed data from a national registry of ambulance transports and investigated whether ambulance transports occurring before noon in marathon-affected areas (when road closures are likely) had longer scene-to-hospital transport times than on nonmarathon dates. We also compared transport times on marathon dates with those on nonmarathon dates in these same areas during evenings (when roads were reopened) and in areas unaffected by the marathon. RESULTS The daily frequency of hospitalizations was similar on marathon and nonmarathon dates (mean number of hospitalizations per city, 10.6 and 10.5, respectively; P=0.71); the characteristics of the beneficiaries hospitalized on marathon and nonmarathon dates were also similar. Unadjusted 30-day mortality in marathon-affected areas on marathon dates was 28.2% (323 deaths in 1145 hospitalizations) as compared with 24.9% (2757 deaths in 11,074 hospitalizations) on nonmarathon dates (absolute risk difference, 3.3 percentage points; 95% confidence interval, 0.7 to 6.0; P=0.01; relative risk difference, 13.3%). This pattern persisted after adjustment for covariates and in an analysis that included beneficiaries who had five or more chronic medical conditions (a group that is unlikely to be hospitalized because of marathon participation). No significant differences were found with respect to where patients were hospitalized or the treatments they received in the hospital. Ambulance scene-to-hospital transport times for pickups before noon were 4.4 minutes longer on marathon dates than on nonmarathon dates (relative difference, 32.1%; P=0.005). No delays were found in evenings or in marathon-unaffected areas. CONCLUSIONS Medicare beneficiaries who were admitted to marathon-affected hospitals with acute myocardial infarction or cardiac arrest on marathon dates had longer ambulance transport times before noon (4.4 minutes longer) and higher 30-day mortality than beneficiaries who were hospitalized on nonmarathon dates. (Funded by the National Institutes of Health.).
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Affiliation(s)
- Anupam B Jena
- From the Department of Health Care Policy, Harvard Medical School (A.B.J., A.O.), and Massachusetts General Hospital (A.B.J.) - both in Boston, and the National Bureau of Economic Research (A.B.J.) and Harvard University (L.N.W.), Cambridge - all in Massachusetts; and the Department of Pediatrics, University of Utah School of Medicine, and the National EMS Information System Technical Assistance Center - both in Salt Lake City (N.C.M.)
| | - N Clay Mann
- From the Department of Health Care Policy, Harvard Medical School (A.B.J., A.O.), and Massachusetts General Hospital (A.B.J.) - both in Boston, and the National Bureau of Economic Research (A.B.J.) and Harvard University (L.N.W.), Cambridge - all in Massachusetts; and the Department of Pediatrics, University of Utah School of Medicine, and the National EMS Information System Technical Assistance Center - both in Salt Lake City (N.C.M.)
| | - Leia N Wedlund
- From the Department of Health Care Policy, Harvard Medical School (A.B.J., A.O.), and Massachusetts General Hospital (A.B.J.) - both in Boston, and the National Bureau of Economic Research (A.B.J.) and Harvard University (L.N.W.), Cambridge - all in Massachusetts; and the Department of Pediatrics, University of Utah School of Medicine, and the National EMS Information System Technical Assistance Center - both in Salt Lake City (N.C.M.)
| | - Andrew Olenski
- From the Department of Health Care Policy, Harvard Medical School (A.B.J., A.O.), and Massachusetts General Hospital (A.B.J.) - both in Boston, and the National Bureau of Economic Research (A.B.J.) and Harvard University (L.N.W.), Cambridge - all in Massachusetts; and the Department of Pediatrics, University of Utah School of Medicine, and the National EMS Information System Technical Assistance Center - both in Salt Lake City (N.C.M.)
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El Sayed MJ, Tamim H, Mailhac A, Mann NC. Trends and Predictors of Limb Tourniquet Use by Civilian Emergency Medical Services in the United States. PREHOSP EMERG CARE 2016; 21:54-62. [PMID: 27689248 DOI: 10.1080/10903127.2016.1227002] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND Tourniquet use by Emergency Medical Services (EMS) can be life saving for severely injured patients. The adoption of this intervention is not well described in civilian settings. This study describes patterns and trends of tourniquet use by civilian EMS and identifies predictors of such use. METHODS A retrospective study of four consecutive releases of the U.S. National Emergency Medical Services Information System (NEMSIS) public research dataset (2011-14) was conducted. Descriptive analysis was performed to compare two groups of EMS activations for injuries with or without tourniquet application. This was followed by multivariate logistic regression to identify predictors of tourniquet use. RESULTS A total of 2,048 tourniquet applications were documented among all EMS activations for injured patients (N = 10,366,537) yielding a prevalence of 0.2 per 1,000 EMS activations. Tourniquets were mainly applied in young (mean age 44.0 ± 21.1 years) male patients (76.5%) in urban and suburban EMS activations (86.4%) and by advanced life support (ALS) EMS services (81.6%). Most common complaints reported by dispatch for EMS activations with tourniquet use were Traumatic injury (25.3%), Hemorrhage/laceration (23.5%), and Traffic accident (16.8%) with injuries mainly related to Stabbing/Accidental cutting (20.3%), Falls (17.1%), and Motor vehicle traffic accident (11.5%). Upper extremity injuries (39.6%) were more common than Lower extremity injuries (27.3%). The providers' primary impression was predominantly Traumatic injury (92.8%), and patients' primary symptoms were mainly Bleeding (50.4%) and Wound (28.7%). All prehospital time intervals except on-scene time interval were significantly shorter in the group with tourniquets compared to the group without tourniquets (p < 0.05). Reported prevalence of tourniquet use by EMS (per 1,000 EMS injury activations) increased from 2011 to 2012 then stabilized over the following years (2012-14). Significant predictors of tourniquet use reported by the provider were identified and included demographic characteristics, EMS agency type, specific complaints, injury cause, injury anatomic location, chief complaint organ system, and primary symptom. CONCLUSION Reported tourniquet use by EMS for injured patients in the U.S. is low. Increasing adoption mainly by urban services was noted. Predictors for tourniquet use in civilian trauma were identified. Establishing the effectiveness of this intervention by comparing patient outcomes is needed. Key words: emergency medical services; prehospital; tourniquet; injury; NEMSIS; hemorrhage.
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Hedegaard H, Mann NC. 46 The national emergency medical services information system (NEMSIS): prehospital care data on injury. Inj Prev 2016. [DOI: 10.1136/injuryprev-2016-042156.46] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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