LAUSR

Chronic hepatitis C virus (HCV) is one of the leading causes of liver cirrhosis and hepatocellular carcinoma. The WHO 2030 Elimination Goals require each country to evaluate their response to their epidemics. This can be achieved by visualization of cascades of care, depicting how infected cases move through disease control stages. However, methods of displaying data are debated and lack practical application. This project proposes a new way of codifying and displaying HCV data using Tayside as a case study. 1464 cases of active HCV infections in Tayside from 2015 to 2019 were analysed from NHS Tayside’s HCV Database. Variables were evaluated to create a systematic coding framework that was then used to code each patient’s diagnosis, treatment and cure status each year from 2015 to 2019. Graphical representation of the data in the form of a stacked clustered bar chart demonstrates general trends and conversion rates. For example, Tayside has seen an increase in diagnosis‐to‐cure rates from 18% to 49% (2015‐2019). This method also demonstrates the portion of newly and previously diagnosed people accessing treatment, those with unsuccessful or incomplete treatments, completed treatments with unconfirmed cure, and the number of deaths and relocations. In conclusion, this project proposes a novel way of displaying cascades of care data that relays yearly snapshots of an epidemic, cumulative progression over time, nuanced information of each stage and progression towards elimination targets. This method can be meaningfully used to improve local service planning, knowledge exchange across health systems and reporting to bodies like the WHO.