The Use of the International Classification of Diseases, Ninth Revision (ICD-9) Coding in Identifying Chronic Hepatitis B Virus Infection in Health System Data: Implications for Surveillance

Authors

  • Reena Mahajan Centers for Disease Control and Prevention
  • Anne C. Moorman Centers for Disease Control and Prevention
  • Stephen J. Liu Centers for Disease Control and Prevention
  • Loralee Rupp Henry Ford Health System
  • Monina Klevens Centers for Disease Control and Prevention
  • (CHeCS) for the Chronic Hepatitis Cohort Investigators

DOI:

https://doi.org/10.5210/ojphi.v5i1.4445

Abstract

We evaluated sensitivity, specificity, and predictive values of the ICD-9 coding system for surveillance of chronic hepatitis B virus infection (HBV) using data from an observational cohort study. All HBV cases were validated by chart review. Of 1,652,055 adult patients, 2,202 (0.1%) were included in the cohort based upon laboratory data or hepatitis B ICD-9 codes. Use of one ICD-9 code had a sensitivity of 83.9%, positive predictive value of 61.0%, and specificity and negative predictive values > 99%. Our findings suggest that use of one or two hepatitis B ICD 9 codes can identify cases with chronic HBV infection.

Author Biography

Reena Mahajan, Centers for Disease Control and Prevention

Reena Mahajan, MD, MHS is an Epidemic Intelligence Service officer with the Division of Viral Hepatitis at CDC since 2011. She has worked on national epidemiology, surveillance, and outbreak investigations related to viral hepatitis. She is board certified in Internal Medicine and completed her residency at Emory after completing medical school at George Washington University and a masters degree in public health from the Johns Hopkins University.

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Published

2013-03-23

How to Cite

Mahajan, R., Moorman, A. C., Liu, S. J., Rupp, L., Klevens, M., & for the Chronic Hepatitis Cohort Investigators, (CHeCS). (2013). The Use of the International Classification of Diseases, Ninth Revision (ICD-9) Coding in Identifying Chronic Hepatitis B Virus Infection in Health System Data: Implications for Surveillance. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4445

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Section

Oral Presentations: Disease Surveillance Methods