Evaluating cost-effectiveness of lung cancer screening programs in Germany: a modelling approach
Lung cancer is one of the most considerable respiratory diseases in the world. Being mainly caused by tobacco use, it induces high mortality rates among the patients. Survival chances for the people who have lung cancer strongly depend on diagnosing the disease at an early stage of its development. Aiming to identify early lung cancers and improve survival, different screening tools and programs are being applied. In order to guide lung cancer screening policy, we evaluate the cost-effectiveness of lung cancer screening employing decision-analytic modelling for the German settings.
Funded by the Federal Ministry of Education and Research (BMBF)
Dr. Alexander Kuhlmann