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Recreational drug use is a major problem in the United States and around the world. Specifically, drug abuse results in heavy use of emergency department (ED) services, and is a high financial burden to society and to the hospitals due to chronic ill health and multiple injection drug use complications. Intravenous drug users are at high risk of developing sepsis and endocarditis due to the use of a dirty or infected needle that is either shared with someone else or re-used. It can also occur when a drug user repeatedly injects into an inflamed and infected site or due to the poor overall health of an injection drug user. The average cost of hospitalization for aortic valve replacement in USA is about $165,000, and in order for the valve replacement to be successful, patients must abstain from using drugs.

Objective

To describe how the state syndromic surveillance system (NC DETECT) was used to initiate near real time surveillance for endocarditis, sepsis and skin infection among drug users.

Submitted by Magou on

Underage drinking is a significant public health problem in the United States as well as in Nebraska1-2. Alcohol consumption among underage youth accounts for approximately 5,000 deaths each year in the United States, including motor vehicle crash related deaths, homicides and suicides1. In Nebraska, 23% of 12-20 year olds have reported alcohol use during the past 30 days3. In 2010, the estimated total costs of underage drinking in Nebraska were $423 million. These costs included medical care, work loss along with pain and suffering2. The health consequences of underage drinking include alcohol-related motor vehicle crashes and other unintentional injuries, physical and sexual assault, suicide, self-inflicted injury, death from alcohol poisoning, and abuse of other drugs1, 4. The monitoring of near-real–time ED data could help underage drinking prevention efforts by providing timelier actionable public health information.

Objective

The objective of this pilot study was to develop and evaluate syndromic definitions for the monitoring of alcohol-related emergency department (ED) visits in near-real–time syndromic surveillance (SyS) data. This study also evaluates the utility of SyS ED data for the monitoring of underage drinking.

Submitted by Magou on

France hosted 2016 UEFA European Football Championship between June 10 and July 10. In the particular context of several terrorist attacks occurring in France in 2015 [1], the French national public health agency « Santé publique France » (formerly French Institute for Public Health Surveillance-InVS) was mandated by the Ministry of Health to reinforce health population surveillance systems during the UEFA 2016 period. Six French regions and 10 main stadiums hosted 51 matches and several official and nonofficial dedicated Fan Zones were implemented in many cities across national territory. Three types of hazard have been identified in this context: outbreak of contagious infectious disease, environmental exposure and terrorist attack. The objectives of health surveillance of this major sporting event were the same as for an exceptional event including mass gathering [2] : 1/ timely detection of a health event (infectious cluster, environmental pollution, collective foodborne disease…) to investigate and timely implement counter measures (control and prevention), 2/ health impact assessment of an unexpected event. The French national syndromic surveillance system SurSaUD® was one of the main tools for timely health impact assessment in the context of this event.

Objective

To describe the surveillance indicators implemented for the health impact assessment of a potential health event occurring before, during or after the UEFA Euro 2016 football matches in order to timely implement control and prevention measures.

 

Submitted by Magou on

It is estimated that in the United States (US), unintentional non-fire related CO poisoning causes an average of 439 deaths annually, and in 2007 confirmed CO poisoning cases resulted in 21,304 ED visits and 2,302 hospitalizations (71 per million and 8 per million population, respectively)1 . Despite the significant risk of morbidity and mortality associated with CO poisoning, existing surveillance systems in the United States are limited. This study is the first to focus specifically on CO poisoning trends within the VHA population.

Objective

To describe characteristics of Veterans Health Administration (VHA) patients with ICD 9/10 CM inpatient discharge and/or emergency department (ED)/urgent care outpatient encounter codes for carbon monoxide (CO) poisoning.

 

Submitted by uysz on

Assigning causes of deaths to seasonal infectious diseases is difficult in part due to laboratory testing prior to death being uncommon. Since influenza (and other common respiratory pathogens) are therefore notoriously underreported as a (contributing) cause of death in deathcause statistics modeling studies are commonly used to estimate the impact of influenza on mortality.

Objective

To estimate mortality attributable to influenza adjusted for other common respiratory pathogens, baseline seasonal trends and extreme temperatures.

Submitted by Magou on

In New Jersey, Health Monitoring Systems Inc.’s (HMS) EpiCenter collects chief complaint data for syndromic surveillance from 79 of 80 emergency departments (ED). Using keyword algorithms, these visits are classified into syndrome categories for monitoring unusual health events.

HAIs are infections that patients acquire while they are receiving treatment for a health condition in a health care setting. Following the 2014 Ebola outbreak in West Africa, the New Jersey Department of Health (NJDOH) Communicable Disease Service (CDS) started recruiting EDs to include triage note data in addition to chief complaint data to enhance surveillance capability for Ebola and other HAIs. Research by the University of North Carolina suggests triage note data improve the ability to detect illness of interest by fivefold. Currently, there are three NJ EDs with triage note data in EpiCenter along with ICD 10 codes which can be used for comparison.

This pilot study will assess whether infections following a surgical procedure can be captured in triage note data along with ICD codes. Also, this evaluation will determine if triage note data can be used to create HAI custom classifications for syndromic surveillance. These classifications can potentially be used by surveillance and/or preparedness personnel and local health departments, as well as hospitals, to better prepare for detecting and preventing HAIs that are a significant cause of morbidity and mortality in the U.S. 

Objective

Evaluate the usage of triage note data from EpiCenter, a syndromic surveillance system utilized by New Jersey Department of Health (NJDOH), to enhance Healthcare-Associated Infections (HAIs) surveillance for infections following a surgical procedure. 

Submitted by Magou on

The transition of all HIPAA covered entities from the use of ICD­9­CM to ICD­10­CM/PCS codes on October 1, 2015 will create a paradigm change in the use of electronic health record (EHR) data. Many public health surveillance entities that receive, interpret, analyze, and report ICD­9 encoded data will be significantly impacted by the transition. Is your jurisdiction ready? Do you have a plan in place?



Many public health programs use hospital administrative and claims data for assessment and surveillance purposes. They are preparing their data collection processes to make the transition from accepting data coded with ICD-9-CM to ICD-10-CM in preparation for the October 1 implementation date set by Congress. MapIT is a tool that was developed with funding from AHRQ and CDC to support these transition efforts.

Peter Hicks, an epidemiologist from the Centers for Disease Control and Prevention, will present an expanded version of the 2013 ISDS Pre-Conference Workshop on the ICD-9/10 CM Transition and the impact upon Public Health. His presentation will include specifics on the differences between ICD-9 and ICD-10 codes, highlighting the potential utility of the more granular ICD-10 codes.

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