Evaluation of a state based syndromic surveillance system for the classification and capture of non-fatal occupational injuries and illnesses in New Jersey

2017 ◽  
Vol 60 (7) ◽  
pp. 621-626 ◽  
Author(s):  
Marija Borjan ◽  
Margaret Lumia
Keyword(s):  
New Jersey ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Occupational Injuries ◽  
Syndromic Surveillance System

scholarly journals Game Plan: Communicable Disease Surveillance for Super Bowl XLVIII – New Jersey, 2014

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Teresa Hamby ◽  
Andrew Walsh ◽  
Lisa McHugh ◽  
Stella Tsai ◽  
Edward Lifshitz
Keyword(s):  
New Jersey ◽  
Oral Presentation ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Syndromic Surveillance ◽  
Large Scale ◽  
Communicable Disease ◽  
Super Bowl ◽  
Syndromic Surveillance System ◽  
Game Plan

This oral presentation will describe the surveillance planning and activities for a large-scale event (Super Bowl XLVIII) using New Jersey syndromic surveillance system (EpiCenter).

scholarly journals School Daze: Capturing Chemical Exposures in Syndromic Surveillance - New Jersey 2013

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Teresa Hamby ◽  
Victor Pomary ◽  
Eric Adler ◽  
Stella Tsai ◽  
Andrew Walsh
Keyword(s):  
New Jersey ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Chemical Exposure ◽  
Syndromic Surveillance System ◽  
Chemical Exposures ◽  
The Creation

This poster will describe how two chemical exposure events led to the creation of a new classifier in NJ's syndromic surveillance system.

scholarly journals Better, Stronger, Faster: Why Add Fields to Syndromic Surveillance? New Jersey, 2015

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Pinar Erdogdu ◽  
Teresa Hamby ◽  
Stella Tsai
Keyword(s):  
Emergency Department ◽  
New Jersey ◽  
Poster Presentation ◽  
Population Health ◽  
Education System ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Health Surveillance ◽  
Syndromic Surveillance System ◽  
Emergency Department Data

This poster presentation will describe the inclusion of triage notes into a syndromic surveillance system, Epicenter, to enhance population health surveillance activities. Emergency Department data from EpiCenter and call data from New Jersey Poison Information and Education System related to increased number of synthetic cannabinoid use were evaluated in this analysis.

scholarly journals Using Syndromic Surveillance to Classify and Capture Non-Fatal Occupational Injuries and Illnesses

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Marija Borjan ◽  
Margaret Lumia
Keyword(s):  
Real Time ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Occupational Injuries ◽  
Chief Complaint ◽  
Surveillance Data ◽  
Free Text ◽  
Syndromic Surveillance System ◽  
Work Related ◽  
Data Source

ObjectivesTo evaluate the use of a real-time surveillance tool to track a variety of occupationally-related emergency room visits through the state based syndromic surveillance system, EpiCenter.IntroductionThis study uses data from the New Jersey syndromic surveillance system (EpiCenter) as a data source to enhance surveillance of current non-fatal occupational injuries, illnesses, and poisonings. EpiCenter was originally developed for early detection and monitoring of the health of communities using chief complaints from people seeking acute care in hospital emergency rooms to identify health trends. Currently, syndromic surveillance has not been widely applied to identify occupational injuries and illnesses. Incorporating syndromic surveillance data from EpiCenter, along with hospital discharge data, will enhance the classification and capture of work-related non-fatal injuries with possible improved efforts at prevention.MethodsEpiCenter Emergency Department data from January to December 2014 was evaluated, using work-related keywords and ICD-9 codes, to determine its ability to capture non-fatal work-related injuries. A collection of keywords and phrases specific to work-related injuries was developed by manually assessing the free text chief complaint data field’s. Sensitivity, specificity, and positive predictive value (PPV), along with descriptive statistics was used to evaluate and summarize the occupational injuries identified in EpiCenter.ResultsOverall, 11,919 (0.3%) possible work-related injuries were identified via EpiCenter. Of these visits 956 (8%) indicated Workman’s Compensation as payer. Events that resulted in the greatest number of ED visits were falls, slips, trips (1,679, 14%). Nature of injury included cuts, lacerations (1,041, 9%), burns (255, 2%), and sprains, strains, tears (185, 2). The part of the body most affected were the back (1,414, 12%). This work-related classifier achieved a sensitivity of 5.4%, a specificity of 99.8%, and a PPV of 2.8%.ConclusionsEvaluating the ability and performance of a new and existing surveillance data source to capture work-related injuries can lead to enhancements in current data collection methods. This evaluation successfully demonstrated that the chief complaint reporting system can yield real-time knowledge of incidents and local conditions for use in identifying opportunities for prevention of work-related injuries. 

scholarly journals Outbreak of ED visits related to the use of synthetic cannabinoids, Mayotte Island

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Pascal Vilain ◽  
Salamta Bah-Assoumani ◽  
Ali-Mohamed Youssouf ◽  
Laurent Filleul
Keyword(s):  
Public Health ◽  
Behavioral Disorders ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Adverse Reactions ◽  
Health Agency ◽  
Case Definition ◽  
Syndromic Surveillance System ◽  
Ed Visits ◽  
Mental And Behavioral Disorders

ObjectiveTo confirm and to characterize the increase in emergency department (ED) visits related to the use of synthetic cannabinoids (SC)IntroductionOn October 2016, the Indian Ocean Regional Health Agency was alerted about an increase in ED visits related to adverse reactions associated with use of SC on Mayotte Island. In this context, an investigation based on a syndromic surveillance system was implemented by the regional unit of the French national public health agency.MethodsAn extraction of anonymized records routinely collected by the syndromic surveillance system (1) was carried out from January 1st, 2012 to October 30, 2016. ED visits related to the consumption of SC were identified from ICD-10 codes of the principal diagnostic according to two levels of confidence:- a probable case was defined as ED visit coded X69 (Intentional self-poisoning by and exposure to other and unspecified chemicals and noxious substances). This code has been implemented specifically by ED physicians since august 2015;- a suspect case was defined as ED visit coded: F11 (Mental and behavioral disorders due to use of opioids), F12 (Mental and behavioral disorders due to use of cannabinoids), F16 (Mental and behavioral disorders due to use of hallucinogens), F18 (Mental and behavioral disorders due to use of volatile solvents), F19 (Mental and behavioral disorders due to multiple drug use and use of other psychoactive substances).Based on these data, an epidemic curve and a descriptive analysis of ED visits were carried out.ResultsIn total, 146 ED visits related to adverse events associated with use of SC were registered from January 1st, 2012 to October 30, 2016. The epidemic curve shows two waves between 2015 and 2016 with a particularly high peak in August 2015 (Figure 1). In total, 49% (n=72/146) of these ED visits were probably related to adverse reactions associated to use SC and 51% (n=74/146) meet to the suspect case definition. On the surveillance period, men represented 84% of the patients (n=122) and median age (min – max) was 23 (8-62) years old. When the severity score variable was filled (n = 138), a vital emergency was reported for 4% (n = 5) of patients and 19% of patients were hospitalized.ConclusionsData from syndromic surveillance system allowed to confirm an increase in ED visits related to adverse reactions associated with use of SC in Mayotte Island. To our knowledge, it’s the first time that an outbreak related to use SC is described in the Ocean Indian areaThis phenomenon was particularly marked in 2015 with a peak of ED visits on August 2016.After this outbreak, the regional unit of the French national public health agency recommended the pursuit of the coding X69 in principal diagnosis with the following case definition: any patient with an adverse reaction attributed to synthetic cannabinoid use whether suspected by the medical team or declared by the patient himself or if the patient is in possession of the substance; and to raise awareness ED physicians to the notification of these poisonings to the Regional Addictive Surveillance Center.In conclusion, the young population, weakened by a precarious socio-economic situation, is a target for new synthetic drugs and a threat to public health. This emerging risk in Mayotte must be taken into account and must be actively monitored. In this context, collaborative work with the emergency services must continue in parallel with targeted prevention measures.References1. Vilain P, Maillard O, Raslan-Loubatie J, Abdou MA, Lernout T, Filleul L. Usefulness of Syndromic Surveillance for Early Outbreak Detection in Small Islands: The Case of Mayotte. Online Journal of Public Health Informatics. 2013;5(1):e149.

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