Unlocking the value of personalised healthcare in Europe — breast cancer stratification
Name:
Publisher version
View Source
Access full-text PDFOpen Access
View Source
Check access options
Check access options
Publication type
Journal article with impact factorAuthor
Van Dyck, WalterGassull, Daniel
Vértes, Gergely
Jain, Prateek
Palaniappan, Muhilan
Schulthess, Duane
Tambuyzer, Erik
Hudson, Richard
Moran, Nuala
Publication Year
2012Journal
Health Policy and TechnologyPublication Volume
1Publication Issue
2Publication Begin page
63Publication End page
68
Metadata
Show full item recordAbstract
Through stratification, this simulation shows that there is great potential to improve the efficiency of treating breast cancer. By segmenting the female population at the age of 50 based on family history and genetic testing, our model shows a reduction in costs of breast cancer treatments by 37% with no loss of efficacy accomplished primarily through a 60% drop in incidence of metastatic stages of the disease. These programmes are not inexpensive, and require substantial upfront investments of roughly 2 billion GBP and continued annual investments of several hundred million GBP. However, our simulations show a positive NPV and ROI in approximately year 7 of the programme.Knowledge Domain/Industry
Special Industries : Healthcare ManagementInnovation Management
ae974a485f413a2113503eed53cd6c53
10.1016/j.hlpt.2012.07.002