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Published in: BMC Public Health 1/2011

Open Access 01-12-2011 | Research article

Syndromic surveillance for influenza in two hospital emergency departments. Relationships between ICD-10 codes and notified cases, before and during a pandemic

Authors: Karen Moore, James Black, Stacey Rowe, Lucinda Franklin

Published in: BMC Public Health | Issue 1/2011

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Abstract

Background

Interest in the use of emergency department (ED) data by syndromic surveillance systems to detect influenza outbreaks has been growing. Evaluations of these systems generally focus on events during influenza seasons. The aims of this study were to identify which emergency department disease codes best correlated with confirmed influenza cases and to determine if these same codes would be useful in the non-influenza season. The 2009 influenza pandemic in Victoria, Australia, provided further opportunity to examine the performance of the syndromic surveillance system during this event.

Methods

We undertook a retrospective analysis of data from the Victorian Department of Health's pilot syndromic surveillance programme, 'SynSurv'. SynSurv automatically captures patient information as it is entered by ED staff. This information includes patient demographics, their presenting symptoms and a preliminary diagnosis using ICD-10 coding. To determine which codes were best correlated with influenza notifications, weekly counts for each of the ICD-10 diagnosis codes ever used in the dataset were calculated and compared with the corresponding weekly count of confirmed influenza cases. Correlations between these codes and confirmed influenza cases in the non-influenza season were then undertaken. The data covered the period from July 2001 until August 2009 and included the 2009 influenza pandemic.

Results

There was a marked increase in weekly counts of both laboratory-confirmed influenza cases and relevant ICD-10 codes during the influenza pandemic period. The increase in laboratory confirmed cases was more than four times greater than the previous highest number reported, in 2007, even though the influenza-like-illness activity in the community was considered comparable to 2003 and 2007. We found five ICD-10 codes to be moderately and significantly correlated with influenza cases. None of these codes was correlated with laboratory confirmed influenza notifications outside the influenza season, at least in part because of the small number of influenza cases notified during that period.

Conclusions

This study suggests that the choice of codes made by ED staff to record a case of influenza-like illness is influenced by their perceptions of how much influenza is circulating at the time. The ability of syndromic surveillance to detect outbreaks early may be impeded because case diagnosis is influenced by what ED staff believes to be occurring in the community.
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Literature
3.
go back to reference Coory M, Grant K, Kelly H: Influenza-like illness surveillance using a deputising medical service corresponds to surveillance from sentinel general practices. Euro surveill. 2009, 14: pii = 19387 Coory M, Grant K, Kelly H: Influenza-like illness surveillance using a deputising medical service corresponds to surveillance from sentinel general practices. Euro surveill. 2009, 14: pii = 19387
4.
go back to reference Hope K, Durrheim D, d'Espaignet E, Dalton C: Syndromic Surveillance: is it a useful tool for local outbreak detection?. Journal of Epidemiology and Community Health. 2006, 60: 374-5. 10.1136/jech.2005.035337.CrossRefPubMedPubMedCentral Hope K, Durrheim D, d'Espaignet E, Dalton C: Syndromic Surveillance: is it a useful tool for local outbreak detection?. Journal of Epidemiology and Community Health. 2006, 60: 374-5. 10.1136/jech.2005.035337.CrossRefPubMedPubMedCentral
5.
go back to reference Elliot A: Syndromic surveillance: the next phase of public health monitoring during the H1N1 influenza pandemic?. Euro surveill. 2009, 14: pii = 19391 Elliot A: Syndromic surveillance: the next phase of public health monitoring during the H1N1 influenza pandemic?. Euro surveill. 2009, 14: pii = 19391
6.
go back to reference Buehler J, Sonricker A, Paladini M: Syndromic surveillance practice in the United States: Findings from a survey of state, territorial and selected local health departments. Biosecur Bioterror. 2008, 6: 1-20.CrossRef Buehler J, Sonricker A, Paladini M: Syndromic surveillance practice in the United States: Findings from a survey of state, territorial and selected local health departments. Biosecur Bioterror. 2008, 6: 1-20.CrossRef
7.
go back to reference Griffin BA, Jain AK, Davies-Cole J, Glymph C, Lum G, Washington SC, Stoto MA: Early detection of influenza outbreaks using the DC Department of Health's syndromic surveillance system. BMC Public Health. 2009, 9: 483-10.1186/1471-2458-9-483.CrossRefPubMedPubMedCentral Griffin BA, Jain AK, Davies-Cole J, Glymph C, Lum G, Washington SC, Stoto MA: Early detection of influenza outbreaks using the DC Department of Health's syndromic surveillance system. BMC Public Health. 2009, 9: 483-10.1186/1471-2458-9-483.CrossRefPubMedPubMedCentral
8.
go back to reference Lemay R, Mawudeku A, Shi Y, Ruben M, Achonu C: Syndromic Surveillance for Influenzalike Illness. Biosecurity and Bioterrorism: Biodefense Strategy, Practice, and Science. 2008, 6: 161-70. 10.1089/bsp.2007.0056.CrossRef Lemay R, Mawudeku A, Shi Y, Ruben M, Achonu C: Syndromic Surveillance for Influenzalike Illness. Biosecurity and Bioterrorism: Biodefense Strategy, Practice, and Science. 2008, 6: 161-70. 10.1089/bsp.2007.0056.CrossRef
9.
go back to reference Marsden-Haug N, Foster V, Gould P, Elbert E, Wang H, Pavlin J: Code-based syndromic surveillance for influenzalike illness by International Classification of Diseases, ninth revision. Emerg Infect Dis. 2007, 2: 207-16.CrossRef Marsden-Haug N, Foster V, Gould P, Elbert E, Wang H, Pavlin J: Code-based syndromic surveillance for influenzalike illness by International Classification of Diseases, ninth revision. Emerg Infect Dis. 2007, 2: 207-16.CrossRef
10.
go back to reference Newell M, Black J: Syndromic surveillance for influenza:how well do emergency department diagnoses correlate with notified cases. Victorian Infectious Diseases Bulletin. 2006, 1-4. Newell M, Black J: Syndromic surveillance for influenza:how well do emergency department diagnoses correlate with notified cases. Victorian Infectious Diseases Bulletin. 2006, 1-4.
11.
go back to reference Brownstein J, Mandl K: Reeingineering real time outbreak detection systems for influenza epidemic monitoring. AMIA Annual Symposium Proceedings. 2006, 866- Brownstein J, Mandl K: Reeingineering real time outbreak detection systems for influenza epidemic monitoring. AMIA Annual Symposium Proceedings. 2006, 866-
12.
go back to reference Zheng W, Aitken R, Muscatello D, Churches T: Potential for early warning of viral influenza activity in the community by monitoring clinical diagnoses of influenza in hospital emergency departments. BMC Public Health. 2007, 7: 250-10.1186/1471-2458-7-250.CrossRefPubMedPubMedCentral Zheng W, Aitken R, Muscatello D, Churches T: Potential for early warning of viral influenza activity in the community by monitoring clinical diagnoses of influenza in hospital emergency departments. BMC Public Health. 2007, 7: 250-10.1186/1471-2458-7-250.CrossRefPubMedPubMedCentral
13.
go back to reference Fielding J, Higgins N, Gregory J, Grant K, Catton M, Bergeri I, Lester R, Kelly H: Pandemic H1N1 influenza surveillance in Victoria, Australia, April - September, 2009. Euro surveill. 2009, 14: pii = 19368 Fielding J, Higgins N, Gregory J, Grant K, Catton M, Bergeri I, Lester R, Kelly H: Pandemic H1N1 influenza surveillance in Victoria, Australia, April - September, 2009. Euro surveill. 2009, 14: pii = 19368
Metadata
Title
Syndromic surveillance for influenza in two hospital emergency departments. Relationships between ICD-10 codes and notified cases, before and during a pandemic
Authors
Karen Moore
James Black
Stacey Rowe
Lucinda Franklin
Publication date
01-12-2011
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2011
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-11-338

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