Emergency Medical Services and Syndromic Surveillance: A Comparison With Traditional Surveillance and Effects on Timeliness

Objective Traditional public health surveillance of nonfatal opioid overdose relies on emergency department (ED) billing data, which can be delayed substantially. We compared the timeliness of 2 new data sources for rapid drug overdose surveillance—emergency medical services (EMS) and syndromic surveillance—with ED billing data. Methods We used data on nonfatal opioid overdoses in Kentucky captured in EMS, syndromic surveillance, and ED billing systems during 2018-2019. We evaluated the time-series relationships between EMS and ED billing data and syndromic surveillance and ED billing data by calculating cross-correlation functions, controlling for influences of autocorrelations. A case example demonstrates the usefulness of EMS and syndromic surveillance data to monitor rapid changes in opioid overdose encounters in Kentucky during the COVID-19 epidemic. Results EMS and syndromic surveillance data showed moderate-to-strong correlation with ED billing data on a lag of 0 ( r = 0.694; 95% CI, 0.579-0.782; t = 9.73; df = 101; P < .001; and r = 0.656; 95% CI, 0.530-0.754; t = 8.73; df = 101; P < .001; respectively) at the week-aggregated level. After the COVID-19 emergency declaration, EMS and syndromic surveillance time series had steep increases in April and May 2020, followed by declines from June through September 2020. The ED billing data were available for analysis 3 months after the end of a calendar quarter but closely followed the trends identified by the EMS and syndromic surveillance data. Conclusion Data from EMS and syndromic surveillance systems can be reliably used to monitor nonfatal opioid overdose trends in Kentucky in near–real time to inform timely public health response.

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EMS Heroin Overdoses with Refusal to Transport & Impacts on ED Overdose Surveillance

Online Journal of Public Health Informatics ◽

10.5210/ojphi.v11i1.9917 ◽

2019 ◽

Vol 11 (1) ◽

Cited By ~ 1

Author(s):

Peter Rock ◽

Michael Singleton

Keyword(s):

Emergency Department ◽

Emergency Medical Services ◽

Syndromic Surveillance ◽

Emergency Department Visits ◽

Medical Services ◽

Opioid Overdose ◽

Billing Data ◽

Heroin Overdose ◽

Emergency Medical ◽

Significant Difference

ObjectiveThe aim of this project was to explore changing patterns in patient refusal to transport by emergency medical services for classified heroin overdoses and possible implications on heroin overdose surveillance in Kentucky.IntroductionAs a Centers for Disease Control and Prevention Enhanced State Opioid Overdose Surveillance (ESOOS) funded state, Kentucky started utilizing Emergency Medical Services (EMS) data to increase timeliness of state data on drug overdose events in late 2016. Using developed definitions of heroin overdose for EMS emergency runs, Kentucky analyzed the patterns of refused/transported EMS runs for both statewide and local jurisdictions. Changes in EMS transportation patterns of heroin overdoses can have a dramatic impact on other surveillance systems, such as emergency department (ED) claims data or syndromic surveillance (SyS) data.MethodsAs part of the ESOOS grant, Kentucky receives all emergency-only EMS runs monthly from Kentucky Board for Emergency Medical Services, Kentucky State Ambulance Reporting System data. Heroin cases were classified based on text and medications (Narcan) administered, with comparisons to historic data discussed elsewhere (Rock & Singleton, 2018). Transportation classifications are based on EMS standard elements defining treatment with transportation vs refusal to transport to hospital and canceled runs were excluded. Initial analysis included trend analysis at state and local levels, as well as demographic comparisons of refusal vs transported heroin overdose encounters.ResultsStatewide trends in EMS heroin overdoses with refusal transport significantly increased from 5% (n=42) in 2016 quarter three to 22% (n=290) in 2018 quarter two (Fig 1). Initial demographic analysis does not show any significant difference between refusals/transported for age, gender, or race. However, there are significant differences among geographic regions in Kentucky with heroin encounter refusal proportion ranging from 3%-48% in 2018 quarter two. Specifically, one urban area (Fig 2) shows the change in proportion of refusal increasing from 15% (n=23) in 2016 quarter three to 47% (n=110) in 2018 quarter two. In this geographic area, combined refused/transported EMS heroin overdoses compared to traditional ED data demonstrates opposing heroin overdose patterns for the same local with EMS showing and increasing trend overtime and ED showing a decreasing trend (Fig 3).ConclusionsTraditional public health surveillance for heroin overdose has historically relied on ED billing data, though agencies are starting to use syndromic surveillance, too (Vivolo-Kantor et al., 2016). These systems share similar underlying ED data, albeit with different components, quality, and limitations. However, in terms of the overdose epidemic, both are limited to only heroin overdoses that result in ED hospital encounters. The recent drastic increase in refused transport can have significant impacts on heroin surveillance. Jurisdictions relying on SyS or ED data for monitoring overdose patterns and/or evaluating interventions may be significantly underestimating acute overdose occurrence in the population. This analysis highlights the importance of this preclinical data source in surveillance of the heroin epidemic.ReferencesRock, P. J., & Singleton, M. D. (2018). Assessing Definitions of Heroin Overdose in ED & EMS Data Using Hospital Billing Data, 10(1), 2579.Vivolo-Kantor, A. M., Seth, P., Gladden, ; R Matthew, Mattson, C. L., Baldwin, G. T., Kite-Powell, A., & Coletta, M. A. (2016). Morbidity and Mortality Weekly Report Vital Signs: Trends in Emergency Department Visits for Suspected Opioid Overdoses — United States, 67(9), 279–285. Retrieved from https://www.cdc.gov/mmwr/volumes/67/wr/pdfs/mm6709e1-H.pdf

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Using Emergency Medical Services Data to Monitor Nonfatal Opioid Overdoses in Real Time

Public Health Reports ◽

10.1177/00333549211018989 ◽

2021 ◽

Vol 136 (1_suppl) ◽

pp. 40S-46S

Author(s):

Benjamin D. Hallowell ◽

Laura C. Chambers ◽

Jason Rhodes ◽

Melissa Basta ◽

Samara Viner-Brown ◽

...

Keyword(s):

Public Health ◽

Emergency Medical Services ◽

Real Time ◽

Rhode Island ◽

Keyword Search ◽

Case Definition ◽

Outbreak Detection ◽

Medical Services ◽

Opioid Overdose ◽

Emergency Medical

Objective No case definition exists that allows public health authorities to accurately identify opioid overdoses using emergency medical services (EMS) data. We developed and evaluated a case definition for suspected nonfatal opioid overdoses in EMS data. Methods To identify suspected opioid overdose–related EMS runs, in 2019 the Rhode Island Department of Health (RIDOH) developed a case definition using the primary impression, secondary impression, selection of naloxone in the dropdown field for medication given, indication of medication response in a dropdown field, and keyword search of the report narrative. We developed the case definition with input from EMS personnel and validated it using an iterative process of random medical record review. We used naloxone administration in consideration with other factors to avoid misclassification of opioid overdoses. Results In 2018, naloxone was administered during 2513 EMS runs in Rhode Island, of which 1501 met our case definition of a nonfatal opioid overdose. Based on a review of 400 randomly selected EMS runs in which naloxone was administered, the RIDOH case definition accurately identified 90.0% of opioid overdoses and accurately excluded 83.3% of non–opioid overdose–related EMS runs. Use of the case definition enabled analyses that identified key patterns in overdose locations, people who experienced repeat overdoses, and the creation of hotspot maps to inform outbreak detection and response. Practice Implications EMS data can be an effective tool for monitoring overdoses in real time and informing public health practice. To accurately identify opioid overdose–related EMS runs, the use of a comprehensive case definition is essential.

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The 2017 Solar Eclipse: Implementing Enhanced Syndromic Surveillance on the Path of Totality in Kentucky

Disaster Medicine and Public Health Preparedness ◽

10.1017/dmp.2020.4 ◽

2020 ◽

pp. 1-4

Author(s):

Kristen Heitzinger ◽

Douglas A. Thoroughman ◽

Blake D. Johnson ◽

Andrew Chandler ◽

John W. Prather ◽

...

Keyword(s):

Public Health ◽

Emergency Medical Services ◽

Solar Eclipse ◽

Syndromic Surveillance ◽

First Aid ◽

Medical Services ◽

Care Providers ◽

Syndromic Surveillance System ◽

Mass Gatherings ◽

Emergency Medical

ABSTRACT Objective: The 2017 solar eclipse was associated with mass gatherings in many of the 14 states along the path of totality. The Kentucky Department for Public Health implemented an enhanced syndromic surveillance system to detect increases in emergency department (ED) visits and other health care needs near Hopkinsville, Kentucky, where the point of greatest eclipse occurred. Methods: EDs flagged visits of patients who participated in eclipse events from August 17–22. Data from 14 area emergency medical services and 26 first-aid stations were also monitored to detect health-related events occurring during the eclipse period. Results: Forty-four potential eclipse event-related visits were identified, primarily injuries, gastrointestinal illness, and heat-related illness. First-aid stations and emergency medical services commonly attended to patients with pain and heat-related illness. Conclusions: Kentucky’s experience during the eclipse demonstrated the value of patient visit flagging to describe the disease burden during a mass gathering and to investigate epidemiological links between cases. A close collaboration between public health authorities within and across jurisdictions, health information exchanges, hospitals, and other first-response care providers will optimize health surveillance activities before, during, and after mass gatherings.

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Approach to Onboarding Emergency Medical Services (EMS) Data Into a Syndromic Surveillance System

Online Journal of Public Health Informatics ◽

10.5210/ojphi.v11i1.9736 ◽

2019 ◽

Vol 11 (1) ◽

Cited By ~ 1

Author(s):

Samurl P. Prahlow ◽

David Atrubin ◽

Allison Culpepper ◽

Janet J. Hamilton ◽

Joshua Sturms ◽

...

Keyword(s):

Public Health ◽

Emergency Medical Services ◽

Surveillance System ◽

Syndromic Surveillance ◽

Health Surveillance ◽

Use Cases ◽

Data Sources ◽

Medical Services ◽

Emergency Medical ◽

Data Elements

ObjectiveTo describe the strategy and process used by the Florida Department of Health (FDOH) Bureau of Epidemiology to onboard emergency medical services (EMS) data into FDOH’s syndromic surveillance system, the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE-FL).IntroductionSyndromic surveillance has become an integral component of public health surveillance efforts within the state of Florida. The near real-time nature of these data are critical during events such as the Zika virus outbreak in Florida in 2016 and in the aftermath of Hurricane Irma in 2017. Additionally, syndromic surveillance data are utilized to support daily reportable disease detection and other surveillance efforts. Although syndromic systems typically utilize emergency department (ED) visit data, ESSENCE-FL also includes data from non-traditional sources: urgent care center visit data, mortality data, reportable disease data, and Florida Poison Information Center Network (FPICN) data. Inclusion of these data sources within the same system enables the broad accessibility of the data to more than 400 users statewide, and allows for rapid visualization of multiple data sources in order to address public health needs. Currently, the ESSENCE-FL team is actively working to incorporate EMS data into ESSENCE-FL to further increase public health surveillance capacity and data visualization.MethodsThe ESSENCE-FL team worked collaboratively with various public health program stakeholders to bring EMS data, aggregated by the FDOH Bureau of Emergency Medical Oversight Emergency Medical Services Tracking and Reporting System (EMSTARS) team, into ESSENCE-FL. The ESSENCE-FL team met with the EMSTARS team to discuss use cases, demonstrate both systems, and to obtain project buy-in and support. Initial project meetings included review of ESSENCE-FL system support, user types (roles and access), as well as data security and compliance. An overall project timeline was established, and deliverables were added into system support contracts. Multiple stakeholders, across disciplines representing each key use case, reviewed the Florida version of the National Emergency Medical Services Information System (NEMSIS) version 3.4 data dictionary to identify program-specific data element needs. An element scoring spreadsheet was returned to the ESSENCE-FL team. These scores were aggregated and discordant scores were reviewed by the ESSENCE-FL team. A one-month extract of EMS data was reviewed to assess variable completeness and relevance. Monthly team meetings facilitated the final decisions on the data elements by leveraging lessons learned through onboarding other data sources, findings from the analysis of the one-month extract, stakeholder comments, and advice from other states known to be leveraging EMS data for public health surveillance.ResultsThrough a collaborative and broad approach with partners, the ESSENCE-FL team attained stakeholder buy-in and identified 81 data elements to be included in the EMS feed to ESSENCE-FL. The final list of data elements was determined to best support health surveillance of this population prior to presenting to the ED. The inclusion of the EMS data in ESSENCE-FL will increase the epidemiologic characterization and analysis of the opioid epidemic in Florida. Additional key use cases identified during this project included enhanced injury surveillance, enhanced occupational health surveillance, and characterization of potential differences between EMS and ED visits.ConclusionsThis comprehensive approach can be used by other jurisdictions considering adding EMS data to their syndromic surveillance systems. When considering onboarding a new data source into a surveillance system, it is important to work closely with stakeholders from disciplines representing each of the key use cases to broaden buy-in and support for the project. Through employing this comprehensive approach, syndromic surveillance systems can be better developed to include data that are widely utilizable to many different stakeholders in the public health community.

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(A231) Deficiencies in the Preparedness of Emergency Medical Services Providers for Terrorist Incidents Involving Children

Prehospital and Disaster Medicine ◽

10.1017/s1049023x11002172 ◽

2011 ◽

Vol 26 (S1) ◽

pp. s63-s63

Author(s):

M. Reilly

Keyword(s):

Public Health ◽

United States ◽

Emergency Medical Services ◽

A Priori ◽

The United States ◽

Medical Services ◽

Special Populations ◽

Provider Education ◽

Emergency Medical ◽

Nationally Representative

IntroductionRecent studies have discussed major deficiencies in the preparedness of emergency medical services (EMS) providers to effectively respond to disasters, terrorism and other public health emergencies. Lack of funding, lack of national uniformity of systems and oversight, and lack of necessary education and training have all been cited as reasons for the inadequate emergency medical preparedness in the United States.MethodsA nationally representative sample of over 285,000 emergency medical technicians (EMTs) and Paramedics in the United States was surveyed to assess whether they had received training in pediatric considerations for blast and radiological incidents, as part of their initial provider education or in continuing medical education (CME) within the previous 24 months. Providers were also surveyed on their level of comfort in responding to and potentially treating pediatric victims of these events. Independent variables were entered into a multivariate model and those identified as statistically significant predictors of comfort were further analyzed.ResultsVery few variables in our model caused a statistically significant increase in comfort with events involving children in this sample. Pediatric considerations for blast or radiological events represented the lowest levels of comfort in all respondents. Greater than 70% of respondents reported no training as part of their initial provider education in considerations for pediatrics following blast events. Over 80% of respondents reported no training in considerations for pediatrics following events associated with radiation or radioactivity. 88% of respondents stated they were not comfortable with responding to or treating pediatric victims of a radiological incident.ConclusionsOut study validates our a priori hypothesis and several previous studies that suggest deficiencies in preparedness as they relate to special populations - specifically pediatrics. Increased education for EMS providers on the considerations of special populations during disasters and acts of terrorism, especially pediatrics, is essential in order to reduce pediatric-related morbidity and mortality following a disaster, act of terrorism or public health emergency.

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The 1994 Northridge Earthquake Disaster Response: The Local Emergency Medical Services Agency Experience

Prehospital and Disaster Medicine ◽

10.1017/s1049023x00042916 ◽

1996 ◽

Vol 11 (3) ◽

pp. 172-179 ◽

Cited By ~ 27

Author(s):

Samuel J. Stratton ◽

Virginia Price Hastings ◽

Darlene Isbell ◽

John Celentano ◽

Miguel Ascarrunz ◽

...

Keyword(s):

Public Health ◽

Emergency Medical Services ◽

Disaster Response ◽

Communication Systems ◽

Medical Services ◽

Northridge Earthquake ◽

Power Sources ◽

Incident Command ◽

Emergency Medical ◽

1994 Northridge Earthquake

AbstractIntroduction:This paper describes the 1994 Northridge earthquake experience of the local emergency medical services (EMS) agency. Discussed are means that should improve future local agency disaster responses.Methods:Data reported are descriptive and were collected from multiple independent sources, and can be reviewed publicly and confirmed. Validated data collected during the disaster by the Local EMS Agency also are reported.Results:The experience of the Los Angeles County EMS Agency was similar to that of earthquake disasters previously reported. Communication systems, water, food, shelter, sanitation means, power sources, and medical supplies were resources needed early in the disaster. Urban Search and Rescue Teams and Disaster Medical Assistance Teams were important elements in the response to the Northridge earthquake. The acute phase of the disaster ended within 48 to 72 hours and public health then became the predominant health-care issue. Locating community food and water supplies near shelters, providing transportation to medical care, and public-health visits to shelter locations helped prevent the development of long-term park encampments. An incident command system for the field, hospitals, and government responders was necessary for an organized response to the disaster.Conclusion:Disaster preparedness, multiple forms of reliable communication, rapid mobilization of resources, and knowledge of available state and federal resources are necessary for a disaster response by a local EMS agency.

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Linking Emergency Medical Services and Emergency Department Data to Improve Overdose Surveillance in North Carolina

Public Health Reports ◽

10.1177/00333549211012400 ◽

2021 ◽

Vol 136 (1_suppl) ◽

pp. 54S-61S

Author(s):

Jonathan Fix ◽

Amy I. Ising ◽

Scott K. Proescholdbell ◽

Dennis M. Falls ◽

Catherine S. Wolff ◽

...

Keyword(s):

Emergency Department ◽

North Carolina ◽

Emergency Medical Services ◽

Data Linkage ◽

Medical Services ◽

Opioid Overdose ◽

Naloxone Administration ◽

Emergency Medical ◽

Diagnosis Codes ◽

Linkage Methods

Introduction Linking emergency medical services (EMS) data to emergency department (ED) data enables assessing the continuum of care and evaluating patient outcomes. We developed novel methods to enhance linkage performance and analysis of EMS and ED data for opioid overdose surveillance in North Carolina. Methods We identified data on all EMS encounters in North Carolina during January 1–November 30, 2017, with documented naloxone administration and transportation to the ED. We linked these data with ED visit data in the North Carolina Disease Event Tracking and Epidemiologic Collection Tool. We manually reviewed a subset of data from 12 counties to create a gold standard that informed developing iterative linkage methods using demographic, time, and destination variables. We calculated the proportion of suspected opioid overdose EMS cases that received International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis codes for opioid overdose in the ED. Results We identified 12 088 EMS encounters of patients treated with naloxone and transported to the ED. The 12-county subset included 1781 linkage-eligible EMS encounters, with historical linkage of 65.4% (1165 of 1781) and 1.6% false linkages. Through iterative linkage methods, performance improved to 91.0% (1620 of 1781) with 0.1% false linkages. Among statewide EMS encounters with naloxone administration, the linkage improved from 47.1% to 91.1%. We found diagnosis codes for opioid overdose in the ED among 27.2% of statewide linked records. Practice Implications Through an iterative linkage approach, EMS–ED data linkage performance improved greatly while reducing the number of false linkages. Improved EMS–ED data linkage quality can enhance surveillance activities, inform emergency response practices, and improve quality of care through evaluating initial patient presentations, field interventions, and ultimate diagnoses.

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Characterizing Opioid Overdoses Using Emergency Medical Services Data

Public Health Reports ◽

10.1177/00333549211026802 ◽

2021 ◽

Vol 136 (1_suppl) ◽

pp. 62S-71S

Author(s):

Josie J. Sivaraman ◽

Scott K. Proescholdbell ◽

David Ezzell ◽

Meghan E. Shanahan

Keyword(s):

Machine Learning ◽

North Carolina ◽

Emergency Medical Services ◽

Expert Knowledge ◽

Case Definition ◽

Medical Services ◽

Opioid Overdose ◽

Machine Learning Classification ◽

Emergency Medical ◽

Definition Of

Objectives Tracking nonfatal overdoses in the escalating opioid overdose epidemic is important but challenging. The objective of this study was to create an innovative case definition of opioid overdose in North Carolina emergency medical services (EMS) data, with flexible methodology for application to other states’ data. Methods This study used de-identified North Carolina EMS encounter data from 2010-2015 for patients aged >12 years to develop a case definition of opioid overdose using an expert knowledge, rule-based algorithm reflecting whether key variables identified drug use/poisoning or overdose or whether the patient received naloxone. We text mined EMS narratives and applied a machine-learning classification tree model to the text to predict cases of opioid overdose. We trained models on the basis of whether the chief concern identified opioid overdose. Results Using a random sample from the data, we found the positive predictive value of this case definition to be 90.0%, as compared with 82.7% using a previously published case definition. Using our case definition, the number of unresponsive opioid overdoses increased from 3412 in 2010 to 7194 in 2015. The corresponding monthly rate increased by a factor of 1.7 from January 2010 (3.0 per 1000 encounters; n = 261 encounters) to December 2015 (5.1 per 1000 encounters; n = 622 encounters). Among EMS responses for unresponsive opioid overdose, the prevalence of naloxone use was 83%. Conclusions This study demonstrates the potential for using machine learning in combination with a more traditional substantive knowledge algorithm-based approach to create a case definition for opioid overdose in EMS data.

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Trauma System Development and Future Directions

Prehospital and Disaster Medicine ◽

10.1017/s1049023x00040152 ◽

1993 ◽

Vol 8 (2) ◽

pp. 111-114 ◽

Cited By ~ 3

Author(s):

Judith B. Braslow ◽

Joan A. Snyder

Keyword(s):

Public Health ◽

Emergency Medical Services ◽

Trauma Care ◽

System Development ◽

Trauma System ◽

The United States ◽

Advisory Council ◽

Medical Services ◽

Emergency Medical ◽

Care Systems

AbstractTraumatic injury, both unintentional and intentional, is a serious public health problem. Trauma care systems play a significant role in reducing mortality, morbidity, and disability due to injuries. However, barriers to the provision of prompt and appropriate emergency medical services still exist in many areas of the United States. Title XII of the Public Health Service Act provides for programs in support of trauma care planning and system development by states and localities. This legislation includes provisions for: 1) grants to state agencies to modify the trauma care component of the state Emergency Medical Services (EMS) plan; 2) grants to improve the quality and availability of trauma care in rural areas; 3) development of a Model Trauma Care System Plan for states to use as a guide in trauma system development; and 4) the establishment of a National Advisory Council on Trauma Care Systems.

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