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Surveillance for Healthcare-Associated Influenza-Like Illness in Pediatric Clinics: Validity of Diagnosis Codes for Case Identification

Published online by Cambridge University Press:  15 July 2016

Kristen A. Feemster ,
Folasade M. Odeniyi ,
Russell Localio ,
Robert W. Grundmeier ,
Susan E. Coffin  and
Joshua P. Metlay
Kristen A. Feemster*
Affiliation:
Division of Infectious Diseases, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
Folasade M. Odeniyi
Affiliation:
Division of Infectious Diseases, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
Russell Localio
Affiliation:
Division of Infectious Diseases, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
Robert W. Grundmeier
Affiliation:
Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
Susan E. Coffin
Affiliation:
Division of Infectious Diseases, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
Joshua P. Metlay
Affiliation:
Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
*
Address correspondence to Kristen A. Feemster, MD, MPH, MSHP, Assistant Professor, Perelman School of Medicine, University of Pennsylvania, Division of Infectious Diseases, The Children’s Hospital of Philadelphia, CHOP North, 3535 Market Street, Room 1511, Philadelphia, PA 19104 (Feemster@email.chop.edu).
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Abstract

Compared to chart review, a definition based on the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis code for healthcare-associated influenza-like illness (HA-ILI) among young children in a large pediatric network demonstrated high positive and negative predictive values. This finding suggests that electronic health record–based definitions for surveillance can accurately identify medically attended outpatient HA-ILI cases for research and surveillance.

Infect Control Hosp Epidemiol 2016;1–4

Type
Concise Communications
Information
Infection Control & Hospital Epidemiology , Volume 37 , Issue 10 , October 2016 , pp. 1247 - 1250
Copyright
© 2016 by The Society for Healthcare Epidemiology of America. All rights reserved 

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References

REFERENCES

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Feemster supplementary material

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