נעה דגן

אקדמי בכיר

Using population-level incidence of hepatitis C virus and immigration status for data-driven screening policies

A case study in Israel

Maya Leventer-Roberts, Noa Dagan, Jenna M. Berent, Ilan Brufman, Moshe Hoshen, Marius Braun, Ran D. Balicer, Becca S. Feldman

Background: Most studies estimate hepatitis C virus (HCV) disease prevalence from convenience samples. Consequently, screening policies may not include those at the highest risk for a new diagnosis. Methods: Clalit Health Services members aged 25-74 as of 31 December 2009 were included in the study. Rates of testing and new diagnoses of HCV were calculated, and potential risk groups were examined. Results: Of the 2 029 501 included members, those aged 45-54 and immigrants had lower rates of testing (12.5% and 15.6%, respectively), higher rates of testing positive (0.8% and 1.1%, respectively), as well as the highest rates of testing positive among tested (6.1% and 6.9%, respectively). Discussion: In this population-level study, groups more likely to test positive for HCV also had lower rates of testing. Policy makers and clinicians worldwide should consider creating screening policies using on population-based data to maximize the ability to detect and treat incident cases.

שפת פרסום אנגלית
דפים 2-9
כתב עת Journal of Public Health
כרך 44
נושא מספר 1
סטטוס פרסום פורסם - 01.03.2022

Keywords

Screening
epidemiology
migration

ASJC Scopus subject areas

Public Health, Environmental and Occupational Health

Sustainable Development Goals

SDG 3 - Good Health and Well-being
SDG 10 - Reduced Inequalities
גישה למסמך
10.1093/pubmed/fdaa215
קבצים וקישורים אחרים
Link to publication in Scopus