Métropoles sans Hépatite C Dashboard

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Dashboard Overview

Welcome to the Métropoles sans Hépatite C data dashboard!

This dashboard brings together findings from projects on Hepatitis C virus (HCV) conducted through the Métropoles sans Hépatite C initiative.

HCV infection can cause liver inflammation and may lead to serious health complications if left untreated over time. HCV can be transmitted by blood-to-blood contact – common transmission routes include receiving blood transfusions that aren’t effectively screened for HCV, sharing needles for injection drug use, improperly sterilized medical equipment, or sexual contact that could increase the risk of exposure to infected blood.1 In 2016, Canada signed on to the World Health Organization (WHO) global health sector strategy to achieve viral hepatitis elimination by 2030. Current projections suggest Quebec is not on track to meet these goals.2

As of 2018, oral direct acting antiviral (DAA) therapies have been widely available with unrestricted access across Canada to treat HCV. Treatment regimens typically span 8-12 weeks with minimal side effects and have an approximate 95% cure rate, although loss to follow-up and access to services remain significant barriers to eliminating HCV.3 In response to the widespread availability of DAAs, Métropoles sans Hépatite C was launched with the ambitious goal of making Montreal the first North American city to eliminate HCV. The initiative contains a network of academic researchers, clinical professionals, and community members working to reduce HCV burden by leveraging targeted screening, treatment, and prevention strategies.

WHO 2030 Elimination Goals

Progression Towards Elimination

Study Age and Gender Distributions

Cascades of Care

Technical Details

Project variables

Sex/Gender:

  • CCC: Collected as gender (2002 - 2018) or sex (2018 - 2026).

Geography:

  • CCC: Last known FSA was used if current residential FSA was missing.

Suppression of cell counts

Project data are displayed as aggregate counts to minimize the risk of participant identification. Counts were hidden following Statistics Canada's guidelines on data masking.4 Cell counts less than 40 were suppressed for geographic data and counts less than 20 were suppressed for all other data fields. All published counts were randomly rounded to base 5 to protect against residual re-identification. Masked data are displayed using a < or † symbol.

Supplementary data files

Spatial boundary files of the Montreal region were downloaded from Statistics Canada.5 Spatial boundary files of les centres intégrés universitaires de santé et de services sociaux (CIUSSS) were downloaded from Partenariat Données Québec.6

Data Processing

CCC:

  • Participants with no known FSA were excluded when computing summary statistics by FSA and CIUSSS.

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