The Camden and Islington Viral Hepatitis Identification Tool (CIVHIT): Use of a Clinical Database Case-Finding Tool

David Etoori1, Sara Cococcia2,3, Ankur Srivastava2

  • 1National Institute for Health and Care Research (NIHR) Health Protection Research Unit (HPRU) in Blood-Borne and Sexually Transmitted Infections at UCL in Partnership With the UK Health Security Agency (UKHSA), Royal Free Campus, London, UK.

PubMed

Insights

The Camden and Islington Viral Hepatitis Identification Tool (CIVHIT) significantly increased blood-borne virus (BBV) testing and diagnoses in primary care. This tool shows promise for eliminating viral hepatitis infections.

Area of Science:

  • Public Health
  • Infectious Diseases
  • Health Informatics

Background:

  • Hepatitis B (HBV) and C (HCV) infections persist despite available treatments and vaccines.
  • Many infected individuals remain undiagnosed, contributing to disease transmission.
  • Effective strategies are needed to identify and manage high-risk populations for blood-borne viruses (BBVs).

Purpose of the Study:

  • To evaluate the impact of the Camden and Islington Viral Hepatitis Identification Tool (CIVHIT) on BBV testing and diagnosis rates in primary care.
  • To assess the effectiveness of a computer-based search tool in identifying individuals at high risk for BBVs.
  • To understand patterns of testing and referral for viral hepatitis in a primary care setting.

Main Methods:

  • Introduction of the CIVHIT tool in 60 general practices (GPs) to search electronic medical records (EMRs).
  • CIVHIT flagged patients based on codes linked to BBV risk factors or medical conditions.
  • Analysis of BBV testing rates, new diagnoses, and referral patterns before and after CIVHIT implementation.

Main Results:

  • CIVHIT was associated with a 78.5% increase in BBV tests and a 55.8% rise in new diagnoses.
  • HBV testing increased significantly, leading to twice as many diagnoses.
  • Testing likelihood varied by risk factor (drug use, hepatitis contact, STI history), age, and sex, with lower rates in males for HIV and HBV.

Conclusions:

  • The CIVHIT tool demonstrates significant potential to enhance the identification, testing, and diagnosis of BBVs in primary care.
  • Targeted flagging based on risk factors can improve testing uptake, although referral rates to secondary care remain low.
  • Further optimization of such tools may be crucial for achieving BBV elimination goals.