Sign up to our newsletter Subscribe
Sign up to our newsletter Subscribe
Tackling cancer is a major global priority. Early detection and diagnosis can help patients get timely access to treatment and dramatically improve cancer outcomes. This relies, in part, on the effective diagnostic tests.
In order to improve the diagnostic landscape in oncology and address a known gap or limitation in current diagnostic tools, a Target Product Profile (TPP) could be used as a signal to innovators. A TPP is a document that specifies the key characteristics and requirements of a new diagnostic test. While diagnostic TPPs have been used for some time in infectious diseases, their use in oncology has been limited. Our latest report for Cancer Research UK, written in collaboration with RAND Europe, outlines how to develop robust, fit-for-purpose diagnostic TPPs for cancer.
What is a TPP for?
A TPP needs to consider several aspects. As well as the technical requirements of the test (such as sensitivity and specificity), it needs to specify requirements relating to the context of use, accounting for NHS system design and capacity, as well as patients’ needs. Done right, TPPs can provide innovators with a clear demand signal about the types of tests needed, allowing innovators to respond appropriately to areas of unmet need.
What is the role for health economics in TPP development?
OHE’s main input to the comprehensive report was to explore the role of early economic evaluation in the TPP development process. By performing a targeted literature review of the literature and convening a workshop with experts in HTA, health economics, policy and regulation, we explored the benefits and challenges of using early economic evaluation to inform TPP development.
The case for including the health economic lens is clear: by considering the perspective of the final decision-maker (NICE and the NHS), early economic evaluation can help to estimate what characteristics the diagnostic must have in order to achieve a favourable decision outcome in terms of cost-effectiveness. Early economic modelling can then be leveraged to:
As part of the project, OHE produced an early economic modelling tool to support TPP development, along with a guide for use with key questions and resources to populate the model. While modelling is unlikely to provide an accurate estimate of the actual cost-effectiveness of the proposed test, it can help identify the most important features that impact cost-effectiveness, and signal whether a proposed diagnostic test is highly unlikely to be cost-effective.
We argue that early economic evaluation should form an essential part of TPP development, offering a clear signal to innovators of what would be of value in a new diagnostic test in oncology, thus bridging the gap between development and reimbursement considerations. By articulating the value proposition of a new technology early on and throughout the development lifecycle, we can ensure that development efforts lead to much-needed advances in oncology diagnostics, for the benefit of cancer patients.
Find out more here: https://www.cancerresearchuk.org/funding-for-researchers/research-opportunities-in-early-detection-and-diagnosis/early-detection-and-diagnosis-roadmap
Read the full report here: https://www.cancerresearchuk.org/sites/default/files/final_report_31may2024_final.pdf
An error has occurred, please try again later.
This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.
Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.
If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.
This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.
Keeping this cookie enabled helps us to improve our website.
Please enable Strictly Necessary Cookies first so that we can save your preferences!