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Syndromic

Using the chief complaint field from our established syndromic ED system, we developed definitions for potentially preventable oral health visits (OHV) and examined patterns in 2009-2011 data. Under the widest definition, OHV comprised about 1% of ED visits. Adults ages 18 to 29 had markedly higher OHV than other ages, as did certain neighborhoods/EDs. We found more than half of OHV occurred during daytime hours, suggesting opportunities for targeted outreach and education. With some caveats, syndromic ED data provide a useful complement to other oral health surveillance strategies.

Objective

To utilize an established syndromic reporting system for surveil- lance of potentially preventable emergency department (ED) oral health visits (OHV) in New York City (NYC).

Submitted by dbedford on

Mayotte Island, a French overseas department of around 374 km2 and 200 000 inhabitants is located in the North of Mozambique Channel in the Indian Ocean (Figure1). In response to the threat of the pandemic influenza A(H1N1)2009 virus emergence, a syndromic surveillance system has been implemented in order to monitor its spread and its impact on public health (1). This surveillance system which proved to be useful during the influenza pandemic, has been maintained in order to detect infection diseases outbreaks.

Objective

To present the usefulness of syndromic surveillance for the detection of infectious diseases outbreak in small islands, based on the experience of Mayotte.

Submitted by uysz on

Aberration detection methods are essential for analyzing and interpreting large quantity of nonspecific real-time data collected in syndromic surveillance system. However, the challenge lies in distinguishing true outbreak signals from a large amount of false alarm (1). The joint use of surveillance algorithms might be helpful to guide the decision making towards uncertain warning signals.

Objective

To develop and test the method of incorporating different control bars for outbreak detection in syndromic surveillance system

Submitted by uysz on

In 2016, the BioSense Platform for national syndromic surveillance made substantial enhancements including data processing changes, a national ESSENCE instance, and management tools to support diverse data sharing needs. On August 21, 2017, a total solar eclipse occurred over much of the United States. The event resulted in large gatherings over multiple days to areas in the Path of Totality (PoT). In the days leading up to the event, public health and emergency preparedness included syndromic surveillance in their monitoring plans. To support this effort, Illinois (IL), Kentucky (KY), and Tennessee (TN) established inter-jurisdictional aggregate data sharing to get a more inclusive view of cause-specific illness or injury in Emergency Department (ED) visits before, during, and after the eclipse.

Objective:

Describe cross-jurisdictional data sharing practices using ESSENCE and facilitated by the BioSense Platform for a national mass gathering event, and the dashboard views created to enhance local data for greater situational awareness.

Submitted by elamb on

In 2016, the Centers for Disease Control and Prevention funded 12 states, under the Enhanced State Opioid Overdose Surveillance (ESOOS) program, to utilize state Emergency Medical Services (EMS) and emergency department syndromic surveillance (SyS) data systems to increase timeliness of state data on drug overdose events. An important component of the ESOOS program is the development and validation of case definitions for drug overdoses for EMS and ED SyS data systems with a focus on small area anomaly detection. In fiscal year one of the grant Kentucky collaborated with CDC to develop case definitions for heroin and opioid overdoses for both SyS and EMS data. These drug overdose case definitions are compared between these two rapid surveillance systems, and further compared to emergency department (ED) hospital administrative claims billing data, to assess their face validity.

Objective:

The aim of this project was to assess the face validity of surveillance case definitions for heroin overdose in emergency medical services (EMS) and emergency department syndromic surveillance (SyS) data systems by comparing case counts to those found in a statewide emergency department (ED) hospital administrative billing data system.

Submitted by elamb on

The Kansas Syndromic Surveillance Program (KSSP) utilizes the ESSENCE v.1.20 program provided by the National Syndromic Surveillance Program to view and analyze Kansas Emergency Department (ED) data. Methods that allow an ESSENCE user to query both the Discharge Diagnosis (DD) and Chief Complaint (CC) fields simultaneously allow for more specific and accurate syndromic surveillance definitions. As ESSENCE use increases, two common methodologies have been developed for querying the data in this way. The first is a query of the field named “CC and DD.” The CC and DD field contains a concatenation of the parsed patient chief complaint and the discharge diagnosis. The discharge diagnosis consists of the last non-null value for that patient visit ID and the chief complaint parsed is the first non-null chief complaint value for that patient visit ID that is parsed by the ESSENCE platform. For this comparison, this method shall be called the CCDD method. The second method involves a query of the fields named, Chief Complaint History and œDischarge Diagnosis History. While the first requires only one field be queried, this method queries the CC History and DD History fields, combines the resulting data and de-duplicates this final data set by the C_BioSense_ID. Chief Complaint History is a list of all chief complaint values related to a singular ED visit, and Discharge Diagnosis History is the same concept, except involving all Discharge Diagnosis values. For this comparison, this method shall be called the CCDDHX method. While both methods are based on the same query concept, each method can yield different results.

Objective:

To compare and contrast two ESSENCE syndrome definition query methods and establish best practices for syndrome definition creation.

Submitted by elamb on
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