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Health economic modelling of the service of care in Sheffield for patients with long term depression
poster
posted on 2020-02-25, 10:37 authored by Jon Tosh, Alan BrennanAlan Brennan, Glenys ParryGlenys ParryBACKGROUND
Depression is one of the commonest yet most debilitating mental health problems,
affecting an estimated 121m people worldwide (WHO 2009). Whilst many people
(approximately 20%) experience a single major depressive episode, the majority recover
only partially, or relapse and experience a recurrence of depression. For many people,
depression must therefore be understood as a relapsing condition, which requires longterm management to minimise the impact of the disorder on their quality of life.
OBJECTIVES
The objective of the analysis is to quantify the costs and health benefits of the current system of care for patients with long-term depression, and to identify
cost-effective improvements to the system through innovative decision-analytic modelling techniques.
Patients with long-term depression are often treated within different health services, and the chronic nature of the condition means that the whole patient
pathway needs to be evaluated. Novel “Whole Disease Modelling” methods (Paul Tappenden thesis: University of Sheffield) allow the whole system of care to
be modelled. This means that the impact in terms of patient benefits as well as the resource implications can be evaluated for the whole patient lifetime.
History
Ethics
- There is no personal data or any that requires ethical approval
Policy
- The data complies with the institution and funders' policies on access and sharing
Sharing and access restrictions
- The data can be shared openly
Data description
- The file formats are open or commonly used
Methodology, headings and units
- Headings and units are explained in the files
