Hepatitis C Identification case study
Improving triaging and targeting of at-risk groups to eliminate Hepatitis C by 2030.
Partners
- Imperial College Healthcare NHS Trust
- Discover-Now London Secure Data Environment
Hepatitis C, a condition affecting over 70,000 patients in England as of 2022, disproportionately impacts the most deprived areas, with more than 80% of cases originating from these regions. Eliminating Hepatitis C is crucial for reducing health inequalities. The Hepatitis C Identification project aims to use de-identified data analysis to find at-risk patients through GP records, revolutionising Hepatitis C diagnosis and treatment in primary care.
Eliminating Hepatitis C is crucial to reducing health inequalities. To do this we need to find and treat all those living with Hepatitis C and prevent new infections.
The Hepatitis C identification project marks a significant step towards the World Health Organisation's (WHO) elimination targets for Hepatitis C virus. By January 2024, the project had analysed de-identified data from GP practices across northwest London, assessing the prevalence and risk factors for Hepatitis C to enable targeted interventions.
Data integration and patient impact
Integrating data from patient records spanning from 31 December 1989 to 1 December 2023, sourced from the London Secure Data Environment (SDE), the project seeks to demonstrate the efficacy of data analysis in identifying at-risk patients.
Early identification benefits: the project identified 479,471 at-risk patients, enabling targeted and strategic interventions at high-risk practices.
Improved GP engagement: the project aims to inform and train GPs to recognise the factors that put patients at risk of Hepatitis C.
Patient and economic benefits
The Hepatitis C Identification project is a system-wide implementation of data analysis, expected to significantly contribute to the national eradication of Hepatitis C by 2030.
By identifying infected and at-risk patients, coordinated care and support can be provided to enable a focused and practical approach towards Hepatitis C eradication.
The impact
Data-driven insights: demonstrating the effectiveness of data analysis in primary care for swift Hepatitis C risk identification.
Enhanced decision-making: improving clinical decision-making by mapping peak areas and locational gaps in Hepatitis C prevalence.
Targeted interventions: enabling strategic interventions at high-risk practices based on comprehensive data analysis.
Policy and public health: guiding policy, prevention strategies, and public health initiatives for optimal impact in eliminating Hepatitis C.
Project timeline and funding
Completed in January 2024, the Hepatitis C identification project was funded by Imperial College Healthcare NHS Trust with an investment of £14,600.
Conclusion
The Hepatitis C Identification project showcases how data analysis can transform healthcare, enhancing early identification of at-risk patients, improving targeted interventions, and significantly contributing to the goal of Hepatitis C elimination by 2030.
Through this initiative, the NHS Research Secure Data Environment Network demonstrates its potential to facilitate impactful research, support the rollout of data-driven strategies, and deliver substantial patient benefits in the fight against Hepatitis C.
Last edited: 12 August 2024 1:28 pm