The Pharmacoeconomics Research Unit makes use of the health services data housed at Cancer Care Ontario and the Institute for Clinical Evaluative Sciences to investigate population-wide patterns of health services use and the effectiveness and cost-effectiveness of health care technologies across the province, especially in cancer care.
Our highlighted projects:
“Cost effectiveness of cancer drugs: Providing evidence of the value of medicines in delivering expected outcomes” – Ministry of Health and Long-Term Care Drug Innovation Fund (2008-2011); Co PIs: Hoch J, Krahn M
The goal of our research is to strengthen the accountability of our health care system by providing evidence of what the money we spend on cancer medicines buys in terms of patient outcomes. Sometimes this is described as estimating the “value for money” of medicines. Our team plans to study the cost, effectiveness and cost-effectiveness of a few cancer drugs currently covered by the Ontario government. We plan to discover how much money Ontario is really paying and how much patient benefit Ontario is really getting. We will create estimates using real data on real people and compare these “real world” estimates with those submitted in the process of trying to convince the government to cover the drugs.
“Cost-effectiveness analysis of personalized medicine: Case studies from the real world” - Ontario Institute for Cancer Research (2010-2011); PI: Hoch J
Results seen in randomized controlled trials (RCTs) may not occur in the “real world”. Real world evaluation of the cost-effectiveness of targeted therapies is of substantial interest to health-care providers, policy makers, and funders. In this project, we propose to study the real world cost-effectiveness of Vectibix® (panitumumab) vs usual care, for patients with metastatic colorectal cancer (mCRC). This will be facilitated by the Ontario government’s recent decision to cover panitumumab through the New Drug Funding Program (NDFP) on the basis of a genetic test.
” Case Costing in Oncology using Administrative Databases” - Ontario Institute for Cancer Research (2009-2011); PI: Mittmann N; Co-Is: Leighl N, Cheung M, Evans W, Hoch J, Dainty K.