scholarly journals Surveillance of Overdose-related Emergency Department Visits in Rhode Island

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Matthew Lozier ◽  
Colleen Martin ◽  
Daniel Chaput

We determined if the Rhode Island Real-time Outbreak and Disease Surveillance (RODS) system identified an increase in emergency department (ED) overdose visits during a known cluster of illicit-drug overdose deaths in RI and characterized ED overdose visits. When stratified by ED there was a significant increase in overdose chief complaints from one ED during March - May 2013 compared to the previous year. This coincides with the cluster of drug overdose deaths in March 2013. Despite most chief complaints for overdose not specifying cause, syndromic surveillance systems provide an existing platform that could be used to better assess ED overdose visits.

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
David Atrubin ◽  
Michael Wiese

This roundtable will focus on how traditional emergency department syndromic surveillance systems should be used to conduct daily or periodic disease surveillance.  As outbreak detection using these systems has demonstrated an equivocal track record, epidemiologists have sought out other interesting uses for these systems.  Over the numerous years of the International Society for Disease Surveillance (ISDS) Conference, many of these studies have been presented; however, there has been a dearth of discussion related to how these systems should be used. This roundtable offers a forum to discuss best practices for the routine use of emergency department syndromic surveillance data.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Helen E. Hughes ◽  
Obaghe Edeghere ◽  
Sarah J. O’Brien ◽  
Roberto Vivancos ◽  
Alex J. Elliot

Abstract Background Syndromic surveillance provides public health intelligence to aid in early warning and monitoring of public health impacts (e.g. seasonal influenza), or reassurance when an impact has not occurred. Using information collected during routine patient care, syndromic surveillance can be based on signs/symptoms/preliminary diagnoses. This approach makes syndromic surveillance much timelier than surveillance requiring laboratory confirmed diagnoses. The provision of healthcare services and patient access to them varies globally. However, emergency departments (EDs) exist worldwide, providing unscheduled urgent care to people in acute need. This provision of care makes ED syndromic surveillance (EDSyS) a potentially valuable tool for public health surveillance internationally. The objective of this study was to identify and describe the key characteristics of EDSyS systems that have been established and used globally. Methods We systematically reviewed studies published in peer review journals and presented at International Society of Infectious Disease Surveillance conferences (up to and including 2017) to identify EDSyS systems which have been created and used for public health purposes. Search criteria developed to identify “emergency department” and “syndromic surveillance” were applied to NICE healthcare, Global Health and Scopus databases. Results In total, 559 studies were identified as eligible for inclusion in the review, comprising 136 journal articles and 423 conference abstracts/papers. From these studies we identified 115 EDSyS systems in 15 different countries/territories across North America, Europe, Asia and Australasia. Systems ranged from local surveillance based on a single ED, to comprehensive national systems. National EDSyS systems were identified in 8 countries/territories: 2 reported inclusion of ≥85% of ED visits nationally (France and Taiwan). Conclusions EDSyS provides a valuable tool for the identification and monitoring of trends in severe illness. Technological advances, particularly in the emergency care patient record, have enabled the evolution of EDSyS over time. EDSyS reporting has become closer to ‘real-time’, with automated, secure electronic extraction and analysis possible on a daily, or more frequent basis. The dissemination of methods employed and evidence of successful application to public health practice should be encouraged to support learning from best practice, enabling future improvement, harmonisation and collaboration between systems in future. Prospero number CRD42017069150.


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Alana M. Vivolo-Kantor ◽  
R. Matthew Gladden ◽  
Aaron Kite-Powell ◽  
Michael Coletta ◽  
Grant Baldwin

ObjectiveThis paper analyzes emergency department syndromic data in the Centers for Disease Control and Prevention’s (CDC) National Syndromic Surveillance Program’s (NSSP) BioSense Platform to understand trends in suspected heroin overdose.IntroductionOverdose deaths involving opioids (i.e., opioid pain relievers and illicit opioids such as heroin) accounted for at least 63% (N = 33,091) of overdose deaths in 2015. Overdose deaths related to illicit opioids, heroin and illicitly-manufactured fentanyl, have rapidly increased since 2010. For instance, heroin overdose deaths quadrupled from 3,036 in 2010 to 12,989 in 2015. Unfortunately, timely response to emerging trends is inhibited by time lags for national data on both overdose mortality via vital statistics (8-12 months) and morbidity via hospital discharge data (over 2 years). Emergency department (ED) syndromic data can be leveraged to respond more quickly to emerging drug overdose trends as well as identify drug overdose outbreaks. CDC’s NSSP BioSense Platform collects near real-time ED data on approximately two-thirds of ED visits in the US. NSSP’s data analysis and visualization tool, Electronic Surveillance System for the Notification of Community-based Epidemics (ESSENCE), allows for tailored syndrome queries and can monitor ED visits related to heroin overdose at the local, state, regional, and national levels quicker than hospital discharge data.MethodsWe analyzed ED syndromic data using ESSENCE to detect monthly and annual trends in suspected unintentional or undetermined heroin overdose by sex and region for those 11 years and older. An ED visit was categorized as a suspected heroin overdose if it met several criteria, including heroin overdose ICD-9-CM and ICD-10-CM codes (i.e., 965.01 and E850.0; T40.1X1A, T40.1X4A) and chief complaint text associated with a heroin overdose (e.g., “heroin overdose”). Using computer code developed specifically for ESSENCE based on our case definition, we queried data from 9 of the 10 HHS regions from July 2016-July 2017. One region was excluded due to large changes in data submitted during the time period. We conducted trend analyses using the proportion of suspected heroin overdoses by total ED visits for a given month with all sexes and regions combined and then stratified by sex and region. To determine significant linear changes in monthly and annual trends, we used the National Cancer Institute’s Joinpoint Regression Program.ResultsFrom July 2016-July 2017, over 72 million total ED visits were captured from all sites and jurisdictions submitting data to NSSP. After applying our case definition to these records, 53,786 visits were from a suspected heroin overdose, which accounted for approximately 7.5 heroin overdose visits per 10,000 total ED visits during that timeframe. The rate of suspected heroin overdose visits to total ED visits was highest in June 2017 (8.7 per 10,000) and lowest in August 2016 (6.6 per 10,000 visits). Males accounted for a larger rates of visits over all months (range = 10.7 to 14.2 per 10,000 visits) than females (range = 3.8 to 4.7 per 10,000 visits). Overall, compared to July 2016, suspected heroin overdose ED visits from July 2017 were significantly higher for all sexes and US regions combined (β = .010, p = .036). Significant increases were also demonstrated over time for males (β = .009, p = .044) and the Northeast (β = .012, p = .025). No other significant increases or decreases were detected by demographics or on a monthly basis.ConclusionsEmergency department visits related to heroin overdose increased significantly from July 2016 to July 2017, with significant increases in the Northeast and among males. Urgent public health action is needed reduce heroin overdoses including increasing the availability of naloxone (an antidote for opioid overdose), linking people at high risk for heroin overdose to medication-assisted treatment, and reducing misuse of opioids by implementing safer opioid prescribing practices. Despite these findings, there are several limitations of these data: not all states sharing data have full participation thus limiting the representativeness of the data; not all ED visits are shared with NSSP; and our case definition may under-identify (e.g., visits missing discharge diagnosis codes and lacking specificity in chief complaint text) or over-identify (e.g., reliance on hospital staff impression and not drug test results) heroin overdose visits. Nonetheless, ED syndromic surveillance data can provide timely insight into emerging regional and national heroin overdose trends.ReferencesWarner M, Chen LH, Makuc DM, Anderson RN, Minino AM. Drug poisoning deaths in the United States, 1980-2008. NCHS Data Brief 2011(81):1-8.Rudd RA, Seth P, David F, Scholl L. Increases in Drug and Opioid-Involved Overdose Deaths - United States, 2010-2015. MMWR Morb Mortal Wkly Rep 2016;65(5051):1445-1452.Spencer MRA, F. Timeliness of Death Certificate Data for Mortality Surveillance and Provisional Estimates. National Center for Health Statistics 2017.Richards CL, Iademarco MF, Atkinson D, Pinner RW, Yoon P, Mac Kenzie WR, et al. Advances in Public Health Surveillance and Information Dissemination at the Centers for Disease Control and Prevention. Public Health Rep 2017;132(4):403-410.


Author(s):  
Zachary M. Stein

ObjectiveTo evaluate syndrome definitions capturing storm- and extremeweather-related emergency department visits in Kansas hospitalsparticipating in the National Syndromic Surveillance Program(NSSP).IntroductionKansas storms can occur without warning and have potential tocause a multitude of health issues. Extreme weather preparednessand event monitoring for public health effects is being developedas a function of syndromic surveillance at the Kansas Departmentof Health and Environment (KDHE). The Syndromic SurveillanceProgram at KDHE utilized emergency department (ED) data to detectdirect health effects of the weather events in the first 9 months of2016. Current results show injuries directly related to the storms andalso some unexpected health effects that warrant further exploration.MethodsA basic syndrome definition was defined based on extreme springand summer weather events experienced in Kansas. This broaddefinition pulled records from Kansas EDs that included the followingin the Chief Complaint or Triage Notes fields:●Storm●Rain●Torna(dos)●Wind●FloodThis broad syndrome definition was performed on data submittedto the Kansas’s production server through NSSP between January 1stand August 30th, 2016. After the initial pull, duplicate records for thesame patient and visit were removed.The remaining set was then searched by hand to identify termscaught by the syndrome definition that were not related to stormactivity or extreme weather. Record chief complaints were thenscanned by hand to identify common words containing the searchcriteria and then removed. Keywords not of interest to the syndromedefinition that were caught were: migraine, window, drain, restrain,train, and many other proper nouns that contained one of the keywords.These remaining visits were then sorted by nature of visit andunexpected records were recorded for future direction of syndromedefinition development.ResultsThe initial data pull under these conditions yielded 17,691 uniqueemergency department visits from January 1stto August 30thduringthe 2016 year. From this, records were classified based on key wordsresulting in the pull. The table below shows the initial pull results, theremaining records after errant results were expunged, the percentageof visits that were removed, and the most common reason for removal.Of these records remaining after cleaning, 20 were related tostorms, 62 were related to rain, 7 were related to tornado activity,66 were related to wind, and 14 were related to flooding along withthe mixed variable instances shown in the table. A majority of thewind-related ED visits were injuries and the majority of the tornadoactivity events were related to injuries sustained while taking shelter.Many of the injuries mentioning storms were sustained in preparationfor the storm, and a handful were due to mental stresses regardingstorm activity.ConclusionsSyndrome definition development is an iterative process thatwill vary by region. By manually looking at line-level data details,future searches can better accommodate these errant results and falsepositives. These studies will facilitate more rapid extreme weatherresponse in Kansas and allow better situational awareness. Alongwith general storm-related injuries, knowledge of the unusual recordscaught by a syndrome definition can also help direct public educationin preparation of future storms. With injuries sustained while takingshelter and injuries sustained in preparation for the storm, we can takethese unique ED visits and work on interventions to prevent futureoccurrences.


2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Kelsey OYong ◽  
Emily Kajita ◽  
Patricia Araki ◽  
Monica Luarca ◽  
Bessie Hwang

In Los Angeles County, emergency department data is collected from hospitals and classified into syndromes based on chief complaints. To validate this respiratory syndromic surveillance categorization, chief complaint data were compared to discharge diagnoses extracted from electronic health records from one hospital emergency department in Los Angeles County during one week in January 2013. The agreement between syndrome classification and discharge diagnosis for respiratory reports is high (k=0.75), though over 25% of diagnosis data were missing. Further validation of additional syndromes is needed. Electronic health records are valuable sources of data and can enhance the validity of syndromic surveillance systems.


2021 ◽  
Author(s):  
Timothy J Wiegand ◽  
Manish M Patel ◽  
Kent R. Olson

Drug overdose and poisoning are leading causes of emergency department visits and hospital admissions in the United States, accounting for more than 500,000 emergency department visits and 11,000 deaths each year. This chapter discusses the approach to the patient with poisoning or drug overdose, beginning with the initial stabilization period in which the physician proceeds through the ABCDs (airway, breathing, circulation, dextrose, decontamination) of stabilization. The management of some of the more common complications of poisoning and drug overdose are summarized and include coma, hypotension and cardiac dysrhythmias, hypertension, seizures, hyperthermia, hypothermia, and rhabdomyolysis. The physician should also perform a careful diagnostic evaluation that includes a directed history, physical examination, and the appropriate laboratory tests. The next step is to prevent further absorption of the drug or poison by decontaminating the skin or gastrointestinal tract and, possibly, by administering antidotes and performing other measures that enhance elimination of the drug from the body. The diagnosis and treatment of overdoses of a number of specific drugs and poisons that a physician may encounter, as well as food poisoning and smoke inhalation, are discussed. Tables present the ABCDs of initial stabilization of the poisoned patient; mechanisms of drug-induced hypotension; causes of cardiac disturbances; drug-induced seizures; drug-induced hyperthermia; autonomic syndromes induced by drugs or poison; the use of the clinical laboratory in the initial diagnosis of poisoning; methods of gastrointestinal decontamination; methods of and indications for enhanced drug removal; toxicity of common beta blockers; common stimulant drugs; corrosive agents; dosing of digoxin-specific antibodies; poisoning with ethylene glycol or methanol; manifestations of excessive acetylcholine activity; common tricyclic and other antidepressants; seafood poisonings; drugs or classes that require activated charcoal treatment; and special circumstances for use of activated charcoal. This review contains 3 figures, 22 tables, and 198 references.


2019 ◽  
Vol 134 (2) ◽  
pp. 132-140 ◽  
Author(s):  
Grace E. Marx ◽  
Yushiuan Chen ◽  
Michele Askenazi ◽  
Bernadette A. Albanese

Objectives: In Colorado, legalization of recreational marijuana in 2014 increased public access to marijuana and might also have led to an increase in emergency department (ED) visits. We examined the validity of using syndromic surveillance data to detect marijuana-associated ED visits by comparing the performance of surveillance queries with physician-reviewed medical records. Methods: We developed queries of combinations of marijuana-specific International Classification of Diseases, Tenth Revision (ICD-10) diagnostic codes or keywords. We applied these queries to ED visit data submitted through the Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE) syndromic surveillance system at 3 hospitals during 2016-2017. One physician reviewed the medical records of ED visits identified by ≥1 query and calculated the positive predictive value (PPV) of each query. We defined cases of acute adverse effects of marijuana (AAEM) as determined by the ED provider’s clinical impression during the visit. Results: Of 44 942 total ED visits, ESSENCE queries detected 453 (1%) as potential AAEM cases; a review of 422 (93%) medical records identified 188 (45%) true AAEM cases. Queries using ICD-10 diagnostic codes or keywords in the triage note identified all true AAEM cases; PPV varied by hospital from 36% to 64%. Of the 188 true AAEM cases, 109 (58%) were among men and 178 (95%) reported intentional use of marijuana. Compared with noncases of AAEM, cases were significantly more likely to be among non-Colorado residents than among Colorado residents and were significantly more likely to report edible marijuana use rather than smoked marijuana use ( P < .001). Conclusions: ICD-10 diagnostic codes and triage note keyword queries in ESSENCE, validated by medical record review, can be used to track ED visits for AAEM.


2019 ◽  
Vol 27 (1) ◽  
pp. 127-135
Author(s):  
Yasir Tarabichi ◽  
Jake Goyden ◽  
Rujia Liu ◽  
Steven Lewis ◽  
Joseph Sudano ◽  
...  

Abstract Objective The study sought to assess the feasibility of nationwide chronic disease surveillance using data aggregated through a multisite collaboration of customers of the same electronic health record (EHR) platform across the United States. Materials and Methods An independent confederation of customers of the same EHR platform proposed and guided the development of a program that leverages native EHR features to allow customers to securely contribute de-identified data regarding the prevalence of asthma and rate of asthma-associated emergency department visits to a vendor-managed repository. Data were stratified by state, age, sex, race, and ethnicity. Results were qualitatively compared with national survey-based estimates. Results The program accumulated information from 100 million health records from over 130 healthcare systems in the United States over its first 14 months. All states were represented, with a median coverage of 22.88% of an estimated state’s population (interquartile range, 12.05%-42.24%). The mean monthly prevalence of asthma was 5.27 ± 0.11%. The rate of asthma-associated emergency department visits was 1.39 ± 0.08%. Both measures mirrored national survey-based estimates. Discussion By organizing the program around native features of a shared EHR platform, we were able to rapidly accumulate population level measures from a sizeable cohort of health records, with representation from every state. The resulting data allowed estimates of asthma prevalence that were comparable to data from traditional epidemiologic surveys at both geographic and demographic levels. Conclusions Our initiative demonstrates the potential of intravendor customer collaboration and highlights an organizational approach that complements other data aggregation efforts seeking to achieve nationwide EHR-based chronic disease surveillance.


2017 ◽  
Vol 132 (1_suppl) ◽  
pp. 65S-72S ◽  
Author(s):  
Michelle L. Nolan ◽  
Hillary V. Kunins ◽  
Ramona Lall ◽  
Denise Paone

Introduction: Recent increases in drug overdose deaths, both in New York City and nationally, highlight the need for timely data on psychoactive drug-related morbidity. We developed drug syndrome definitions for syndromic surveillance to monitor drug-related emergency department (ED) visits in real time. Materials and Methods: We used 2012 archived syndromic surveillance data from New York City hospitals to develop definitions for psychoactive drug-related syndromes. The dataset contained ED visit-level information that included patients’ chief complaints, dates of visits, ZIP codes of residence, discharge diagnoses, and dispositions. After manually reviewing chief complaints, we developed a classification scheme comprising 3 categories (overdose, drug mention, and drug abuse/misuse), which we used to define 25 psychoactive drug syndromes. From July 2013 through December 2015, the New York City Department of Health and Mental Hygiene performed daily syndromic surveillance of psychoactive drug-related ED visits using the 25 syndrome definitions. Results: Syndromic surveillance triggered 4 public health investigations, supported 8 other public health investigations that had been triggered by other mechanisms, and resulted in the identification of 5 psychoactive drug-related outbreaks. Syndromic surveillance also identified a substantial increase in synthetic cannabinoid-related visits (from an average of 3 per week in January 2014 to >300 per week in July 2015) and an increase in heroin overdose visits (from 80 to 171 in the first 3 quarters of 2012 and 2014, respectively) in a single neighborhood. Practice Implications: Syndromic surveillance using these novel definitions enabled monitoring of trends in psychoactive drug-related morbidity, initiation and support of public health investigations, and targeting of interventions. Health departments can refine these definitions for their jurisdictions using the described methods and integrate them into existing syndromic surveillance systems.


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