Rate and predictors of treatment prescription for hepatitis C

Adeel A Butt1, Amy C Justice, Melissa Skanderson

  • 1University of Pittsburgh Medical Center, Falk Medical Building, Pittsburgh, PA 15213, USA. butta@dom.pitt.edu

Gut
|September 29, 2006
PubMed

Insights

Hepatitis C virus (HCV) treatment prescription rates in veterans are low, with only 11.8% receiving treatment. Older age, minority race, substance abuse, and comorbidities are linked to non-treatment, necessitating further investigation into these barriers.

Area of Science:

  • Hepatology
  • Infectious Diseases
  • Health Services Research

Background:

  • The actual treatment rate for hepatitis C virus (HCV) among veterans remains undetermined.
  • Understanding treatment patterns is crucial for improving patient outcomes.

Purpose of the Study:

  • To ascertain the rates of HCV treatment prescription.
  • To identify factors predicting treatment prescription for HCV in a large national veteran population.

Main Methods:

  • Utilized the Department of Veterans Affairs National Patient Care Database (NPCD) to identify HCV-infected veterans (1999-2003).
  • Extracted demographic data, comorbidities (medical and psychiatric), and substance use diagnoses.
  • Analyzed pharmacy data from the VA Pharmacy Benefits Management (PBM) database.
  • Employed logistic regression to determine predictors of HCV treatment.

Main Results:

  • Identified 113,927 veterans with HCV; the treatment prescription rate was 11.8%.
  • Factors associated with non-treatment included older age, minority race, alcohol/drug abuse, and comorbid conditions (e.g., anemia, depression, schizophrenia).
  • Factors associated with higher likelihood of treatment included liver cirrhosis and diabetes.

Conclusions:

  • A low proportion of HCV-infected veterans received treatment.
  • Non-treatment is associated with demographic factors (age, race) and significant comorbidities.
  • Further research is needed to explore the reasons behind the low treatment rates and associated barriers.
Abstract

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