Towards personalized and cost-effective care for depression
- Universiteit Rijksuniversiteit Groningen
- Promovendus Fang Li
- Promoters T.L. Feenstra
- Co-Promoters F. Jörg
- Jaar 2021-2025
The research project aims to develop models for the prediction of disease duration in order to support personalized and cost-effective care of depression patients. Using these models, optimal treatment strategies will be analyzed. In this project, we also want to predict treatment resistant depression as a specific subgroup and conduct cost-effectiveness analyses of different psychotherapy strategies and quantify the impact of structural uncertainty and parameter uncertainty on the results of cost-effectiveness evaluations.