ESSENCE II and the Framework for Evaluating Syndromic Surveillance Systems

Lombardo, Joseph S.; Burkom, Howard; Pavlin, Julie A.

doi:10.1037/e307182005-028

Cited by 57 publications

(66 citation statements)

References 8 publications

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“…To compile these 2 lists, the study team drew on sev er al sources: the Electronic Surveil lance System for the Early Notifi cation of CommunityBased Epidemics (ES SENCE) II list of ICD-9-CM discharge diagnosis for infl uenza syndromic surveillance in the military, validated in the 2009 H1N1 infl uenza pandemic, [25][26][27][28] and pediatricspecifi c lists of infl uenza-related diagnoses, which remain unvalidated. [29][30][31][32] Chronic comorbid conditions (CCCs; eg, malignancy) were identified using a previously reported classifi cation method.…”

Section: Study Defi Nitionsmentioning

confidence: 99%

Hospital Readmissions Among Children With H1N1 Influenza Infection

Brogan

Hall

Sills

et al. 2014

Hospital Pediatrics

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Objectives: To describe readmissions among children hospitalized with H1N1 (influenza subtype, hemagglutinin1, neuraminidase 1) pandemic influenza and secondarily to determine the association of oseltamivir during index hospitalization with readmission. Methods: We reviewed data from 42 freestanding children’s hospitals contributing to the Pediatric Health Information System from May through December 2009 when H1N1 was the predominant influenza strain. Children were divided into 2 groups by whether they experienced complications of influenza during index hospitalization. Primary outcome was readmission at 3, 7, and 30 days among both patient groups. Secondary outcome was the association of oseltamivir treatment with readmission. Results: The study included 8899 children; 6162 patients had uncomplicated index hospitalization, of whom 3808 (61.8%) received oseltamivir during hospitalization, and 2737 children had complicated influenza, of whom 1055 (38.5%) received oseltamivir. Median 3-, 7-, and 30-day readmission rates were 1.6%, 2.5%, and 4.7% for patients with uncomplicated index hospitalizations and 4.3%, 5.8%, and 10.3% among patients with complicated influenza. The 30-day readmission rates did not differ by treatment group among patients with uncomplicated influenza; however, patients with complicated index hospitalizations who received oseltamivir had lower all-cause 30-day readmissions than untreated patients. The most common causes of readmission were pneumonia and asthma exacerbations. Conclusions: Oseltamivir use for hospitalized children did not decrease 30-day readmission rates in children after uncomplicated index hospitalization but was associated with a lower 30-day readmission rate among children with complicated infections during the 2009 H1N1 pandemic. Readmission rates for children who had complicated influenza infection during index hospitalizations are high.

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Section: Study Defi Nitionsmentioning

confidence: 99%

Hospital Readmissions Among Children With H1N1 Influenza Infection

Brogan

Hall

Sills

et al. 2014

Hospital Pediatrics

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“…Frequency distributions for patient characteristics for all ED visits with an IRI code were calculated for all 23 hospitals during the period when the CDC surveillance identified circulating 2009 H1N1 influenza (Calendar Weeks [16][17][18][19][20][21][22][23][24][25][26][27][28][29]. To describe the hospital-level variation in influenza-related utilization, we first performed hospitallevel analyses.…”

Section: Discussionmentioning

confidence: 99%

“…We therefore used the Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE) II list of International Classification of Diseases, 9th revision (ICD-9), codes developed for influenza syndromic surveillance in the military 18,19 and validated for the 2009 H1N1 influenza pandemic. 20 Although pediatric-specific code lists are available, [21][22][23][24] ESSENCE II is the only set validated against virologic results.…”

Section: Study Setting and Populationmentioning

confidence: 99%

Resource Burden at Children’s Hospitals Experiencing Surge Volumes During the Spring 2009 H1N1 Influenza Pandemic

Sills

Hall

Simon

et al. 2011

Academic Emergency Medicine

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Objectives: The objective was to describe the emergency department (ED) resource burden of the spring 2009 H1N1 influenza pandemic at U.S. children's hospitals by quantifying observed-to-expected utilization. Methods:The authors performed an ecologic analysis for April through July 2009 using data from 23 EDs in the Pediatric Health Information System (PHIS), an administrative database of widely distributed U.S. children's hospitals. All ED visits during the study period were included, and data from the 5 prior years were used for establishing expected values. Primary outcome measures included observedto-expected ratios for ED visits for all reasons and for influenza-related illness (IRI).

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“…25 ESSENCE refers to the Electronic Surveillance System for the Early Notification of Community-based Epidemics software; several states and military facilities use it to detect public health events by means of hospital emergency department (ED) data. 26 We included BioSense and ESSENCE as search terms because we expected state or local health departments involved with either BioSense or ESSENCE to be active in syndromic surveillance. On an ad hoc basis, we used other search terms, such as biosurveillance, surveillance, and emergency chief complaint data, among others, to identify systems in states for which our initial search was unable to identify one.…”

Section: Identification Of Programsmentioning

confidence: 99%

Characteristics and geographic dispersion of syndromic surveillance systems in the United States in 2008

Lesesne

Smith²,

Rein³

2011

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This PDF document was made available from www.rti.org as a public service of RTI International. More information about RTI Press can be found at http://www.rti.org/rtipress. RTI International is an independent, nonprofit research organization dedicated to improving the human condition by turning knowledge into practice. The RTI Press mission is to disseminate information about RTI research, analytic tools, and technical expertise to a national and international audience. RTI Press publications are peer-reviewed by at least two independent substantive experts and one or more Press editors. DisclaimerThis report was prepared as an account of work sponsored by an agency of the United States Government. Neither the US Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the US Government or any agency thereof. The views and opinions of the authors expressed herein do not necessarily state or reflect those of the US Government or any agency thereof. All rights reserved. Please note that this document is copyrighted and credit must be provided to the authors and source of the document when you quote from it. You must not sell the document or make a profit from reproducing it. AbstractTo understand the characteristics, scope, and geographic dispersion of syndromic surveillance systems in the United States in 2008, we reviewed information about their existence and characteristics in each state. We abstracted and compiled data from peer-reviewed literature, public reports, news stories, press releases, and Internet sites; we then analyzed the data, using a systematic instrument. For systems that collected emergency department (ED) information, we estimated the percentage of annual ED visits whose data were reported to the system. In 2008, 39 states and the District of Columbia had syndromic surveillance systems. ED records (65 percent) and hospital admissions records (43 percent) were the most common data sources. Respiratory (57 percent) and gastrointestinal (53 percent) syndromes were the most commonly tracked syndromes. On average, systems using ED records covered 47 percent of all visits, though some states had rates higher than 75 percent. The Northeast, Midwest, and Southeast were more likely to have systems than Western regions. We identified wide variance in the sources of data, the syndromes tracked, and the completeness of syndromic surveillance coverage across states. Although some states have well-established systems that capture diverse data at high levels of coverage, many others have small local systems or none.

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ESSENCE II and the Framework for Evaluating Syndromic Surveillance Systems

Cited by 57 publications

References 8 publications

Hospital Readmissions Among Children With H1N1 Influenza Infection

Hospital Readmissions Among Children With H1N1 Influenza Infection

Resource Burden at Children’s Hospitals Experiencing Surge Volumes During the Spring 2009 H1N1 Influenza Pandemic

Characteristics and geographic dispersion of syndromic surveillance systems in the United States in 2008

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