Literature DB >> 17484301

Evaluation of ICD-9 codes for syndromic surveillance in the electronic surveillance system for the early notification of community-based epidemics.

Jose A Betancourt1, Shilpa Hakre, Christina S Polyak, Julie A Pavlin.   

Abstract

The Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE), developed by the Department of Defense Global Emerging Infections System (DOD-GEIS), actively analyzes syndromic groupings from electronic International Classification of Diseases, Ninth Revision data as a proxy for early disease outbreak detection. This study compares International Classification of Diseases, 9th Revision, data and emergency room records from three hospitals to determine the accuracy of data in ESSENCE. Of 2474 records reviewed, inter-reviewer variability illustrated excellent consistency, ranging from 0.87 to 1.0. Gastrointestinal disease had the highest overall sensitivity (89.0%) and specificity (96.0%), likely due to less overlap with other groups, unlike the respiratory (sensitivity, 65.7%; specificity, 95.6%) and fever (sensitivity, 69.4%; specificity, 95.5%) groups, where symptoms of both are often seen in the same patient. This study concludes that data used by ESSENCE is accurate and reflects the types of patient visits to these facilities: valuable information for public health decision makers.

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Year:  2007        PMID: 17484301     DOI: 10.7205/milmed.172.4.346

Source DB:  PubMed          Journal:  Mil Med        ISSN: 0026-4075            Impact factor:   1.437


  12 in total

1.  Sensitivity of billing claims for cardiovascular disease events among kidney transplant recipients.

Authors:  Krista L Lentine; Mark A Schnitzler; Kevin C Abbott; Kosha Bramesfeld; Paula M Buchanan; Daniel C Brennan
Journal:  Clin J Am Soc Nephrol       Date:  2009-06-18       Impact factor: 8.237

2.  Evaluating multi-purpose syndromic surveillance systems - a complex problem.

Authors:  Roger Morbey; Gillian Smith; Isabel Oliver; Obaghe Edeghere; Iain Lake; Richard Pebody; Dan Todkill; Noel McCarthy; Alex J Elliot
Journal:  Online J Public Health Inform       Date:  2021-12-24

3.  Accuracy of syndrome definitions based on diagnoses in physician claims.

Authors:  Geneviève Cadieux; David L Buckeridge; André Jacques; Michael Libman; Nandini Dendukuri; Robyn Tamblyn
Journal:  BMC Public Health       Date:  2011-01-07       Impact factor: 3.295

4.  Enhanced health event detection and influenza surveillance using a joint Veterans Affairs and Department of Defense biosurveillance application.

Authors:  Cynthia A Lucero; Gina Oda; Kenneth Cox; Frank Maldonado; Joseph Lombardo; Richard Wojcik; Mark Holodniy
Journal:  BMC Med Inform Decis Mak       Date:  2011-09-19       Impact factor: 2.796

5.  Biosurveillance: a review and update.

Authors:  Nicholas E Kman; Daniel J Bachmann
Journal:  Adv Prev Med       Date:  2012-01-02

6.  Evaluation of school absenteeism data for early outbreak detection, New York City.

Authors:  Melanie Besculides; Richard Heffernan; Farzad Mostashari; Don Weiss
Journal:  BMC Public Health       Date:  2005-10-07       Impact factor: 3.295

Review 7.  The evidence base of primary research in public health emergency preparedness: a scoping review and stakeholder consultation.

Authors:  Yasmin Khan; Ghazal Fazli; Bonnie Henry; Eileen de Villa; Charoula Tsamis; Moira Grant; Brian Schwartz
Journal:  BMC Public Health       Date:  2015-04-28       Impact factor: 3.295

8.  Emergency Medical Text Classifier: New system improves processing and classification of triage notes.

Authors:  Stephanie W Haas; Debbie Travers; Anna Waller; Deepika Mahalingam; John Crouch; Todd A Schwartz; Javed Mostafa
Journal:  Online J Public Health Inform       Date:  2014-10-16

9.  Validation of Diagnostic Groups Based on Health Care Utilization Data Should Adjust for Sampling Strategy.

Authors:  Geneviève Cadieux; Robyn Tamblyn; David L Buckeridge; Nandini Dendukuri
Journal:  Med Care       Date:  2017-08       Impact factor: 2.983

10.  Proposal of a framework for evaluating military surveillance systems for early detection of outbreaks on duty areas.

Authors:  Jean-Baptiste Meynard; Herve Chaudet; Andrew D Green; Henry L Jefferson; Gaetan Texier; Daniel Webber; Bruce Dupuy; Jean-Paul Boutin
Journal:  BMC Public Health       Date:  2008-04-30       Impact factor: 3.295

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