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A Protocol for Analyzing Hepatitis C Virus Replication
13:04

A Protocol for Analyzing Hepatitis C Virus Replication

Published on: June 26, 2014

24.3K

Closing the care gap ‒ Systematic identification of overlooked patients with hepatitis C

Josefa Mora Vallellano1, Francisco Cárdenas Lafuente2, Sergio Fernández Espínola3

  • 1Clinical Laboratory, Hospital de Antequera.

Revista Espanola De Enfermedades Digestivas
|July 4, 2025
PubMed

Insights

This study developed a data-driven strategy to identify and re-engage patients lost to Hepatitis C Virus (HCV) care. The approach successfully pinpointed untreated patients eligible for specialist referral, aiding HCV elimination efforts.

Area of Science:

  • Hepatology
  • Public Health
  • Data Science

Background:

  • Hepatitis C Virus (HCV) elimination faces challenges due to untreated patients and loss to follow-up.
  • Re-engaging these patients is crucial for achieving global HCV elimination goals set by the World Health Organization.

Purpose of the Study:

  • To develop and evaluate a data-driven strategy for identifying and re-engaging patients with Hepatitis C Virus who are untreated or lost to follow-up.
  • To improve patient retention in care pathways for effective HCV treatment.

Main Methods:

  • A retrospective analysis of patient data from 2018-2023 was conducted.
  • A data-driven strategy was developed to screen candidates for potential re-engagement.
  • Eligibility criteria were applied to identify suitable patients for specialist referral.

Main Results:

  • Out of 592 identified candidates, 54 untreated patients were found to be suitable for specialist referral.
  • The data-driven strategy effectively identified a cohort of patients needing intervention.

Conclusions:

  • A data-driven approach can successfully identify and facilitate the re-engagement of untreated Hepatitis C Virus patients.
  • This strategy supports efforts to overcome barriers in HCV care and progress towards elimination goals.

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