Literature DB >> 11825278

Value of ICD-9 coded chief complaints for detection of epidemics.

F C Tsui1, M M Wagner, V Dato, C C Chang.   

Abstract

To assess the value of ICD-9 coded chief complaints for early detection of epidemics, we measured sensitivity, positive predictive value, and timeliness of Influenza detection using a respiratory set (RS) of ICD-9 codes and an Influenza set (IS). We also measured inherent timeliness of these data using the cross-correlation function. We found that, for a one-year period, the detectors had sensitivity of 100% (1/1 epidemic) and positive predictive values of 50% (1/2) for RS and 25% (1/4) for IS. The timeliness of detection using ICD-9 coded chief complaints was one week earlier than the detection using Pneumonia and Influenza deaths (the gold standard). The inherent timeliness of ICD-9 data measured by the cross-correlation function was two weeks earlier than the gold standard.

Entities:  

Mesh:

Year:  2001        PMID: 11825278      PMCID: PMC2243339     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  6 in total

1.  Methods for current statistical analysis of excess pneumonia-influenza deaths.

Authors:  Robert E Serfling
Journal:  Public Health Rep       Date:  1963-06       Impact factor: 2.792

2.  The impact of influenza epidemics on mortality: introducing a severity index.

Authors:  L Simonsen; M J Clarke; G D Williamson; D F Stroup; N H Arden; L B Schonberger
Journal:  Am J Public Health       Date:  1997-12       Impact factor: 9.308

3.  Sensitivity, specificity and predictive values of health service based indicators for the surveillance of influenza A epidemics.

Authors:  P Quenel; W Dab; C Hannoun; J M Cohen
Journal:  Int J Epidemiol       Date:  1994-08       Impact factor: 7.196

4.  Using laboratory-based surveillance data for prevention: an algorithm for detecting Salmonella outbreaks.

Authors:  L C Hutwagner; E K Maloney; N H Bean; L Slutsker; S M Martin
Journal:  Emerg Infect Dis       Date:  1997 Jul-Sep       Impact factor: 6.883

5.  Impact of influenza epidemics on mortality in the United States from October 1972 to May 1985.

Authors:  K J Lui; A P Kendal
Journal:  Am J Public Health       Date:  1987-06       Impact factor: 9.308

Review 6.  The economic impact of a bioterrorist attack: are prevention and postattack intervention programs justifiable?

Authors:  A F Kaufmann; M I Meltzer; G P Schmid
Journal:  Emerg Infect Dis       Date:  1997 Apr-Jun       Impact factor: 6.883

  6 in total
  34 in total

1.  The informatics response in disaster, terrorism, and war.

Authors:  Jonathan M Teich; Michael M Wagner; Colin F Mackenzie; Klaus O Schafer
Journal:  J Am Med Inform Assoc       Date:  2002 Mar-Apr       Impact factor: 4.497

2.  Roundtable on bioterrorism detection: information system-based surveillance.

Authors:  William B Lober; Bryant Thomas Karras; Michael M Wagner; J Marc Overhage; Arthur J Davidson; Hamish Fraser; Lisa J Trigg; Kenneth D Mandl; Jeremy U Espino; Fu-Chiang Tsui
Journal:  J Am Med Inform Assoc       Date:  2002 Mar-Apr       Impact factor: 4.497

3.  Rapid deployment of an electronic disease surveillance system in the state of Utah for the 2002 Olympic Winter Games.

Authors:  Per H Gesteland; Michael M Wagner; Wendy W Chapman; Jeremy U Espino; Fu-Chiang Tsui; Reed M Gardner; Robert T Rolfs; Virginia Dato; Brent C James; Peter J Haug
Journal:  Proc AMIA Symp       Date:  2002

4.  Emergency Department data for bioterrorism surveillance: electronic data availability, timeliness, sources and standards.

Authors:  Debbie A Travers; Anna Waller; Stephanie W Haas; William B Lober; Carmen Beard
Journal:  AMIA Annu Symp Proc       Date:  2003

5.  Creating a text classifier to detect radiology reports describing mediastinal findings associated with inhalational anthrax and other disorders.

Authors:  Wendy Webber Chapman; Gregory F Cooper; Paul Hanbury; Brian E Chapman; Lee H Harrison; Michael M Wagner
Journal:  J Am Med Inform Assoc       Date:  2003-06-04       Impact factor: 4.497

6.  Automated syndromic surveillance for the 2002 Winter Olympics.

Authors:  Per H Gesteland; Reed M Gardner; Fu-Chiang Tsui; Jeremy U Espino; Robert T Rolfs; Brent C James; Wendy W Chapman; Andrew W Moore; Michael M Wagner
Journal:  J Am Med Inform Assoc       Date:  2003-08-04       Impact factor: 4.497

7.  Timeliness of emergency department diagnoses for syndromic surveillance.

Authors:  Debbie Travers; Clifton Barnett; Amy Ising; Anna Waller
Journal:  AMIA Annu Symp Proc       Date:  2006

8.  Finding leading indicators for disease outbreaks: filtering, cross-correlation, and caveats.

Authors:  Ronald M Bloom; David L Buckeridge; Karen E Cheng
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

9.  Unsupervised clustering of over-the-counter healthcare products into product categories.

Authors:  Garrick L Wallstrom; William R Hogan
Journal:  J Biomed Inform       Date:  2007-04-03       Impact factor: 6.317

10.  The value of patient self-report for disease surveillance.

Authors:  Florence T Bourgeois; Stephen C Porter; Clarissa Valim; Tiffany Jackson; E Francis Cook; Kenneth D Mandl
Journal:  J Am Med Inform Assoc       Date:  2007-08-21       Impact factor: 4.497

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