dc.contributor.author |
Rothe Muñoz, Rainer Mariano |
dc.date.accessioned |
2022-02-14T09:47:32Z |
dc.date.available |
2022-02-14T09:47:32Z |
dc.date.issued |
2021 |
dc.identifier.uri |
http://hdl.handle.net/10230/52485 |
dc.description |
Master in Health Economics and Pharmacoeconomics. UPF Barcelona School of Management |
dc.description |
Mentor: Laura Vallejo |
dc.description.abstract |
Depression is an illness that has a strong social and economic impact, and that has seen its prevalence increased during the COVID-19 pandemic. As with many sectors of healthcare, the increased costs of treatment and the scarce availability of professionals lead to long waiting lists, generating a need for digital innovation in the management of depression. Deprexis® is a digital therapy that has been recently approved for its reimbursement under prescription in Germany and that has been studied for its efficacy in the treatment of depression as a complement of care-as-usual, as a partial replacement of care-as-usual (CAU) and as a tool to be used in patients in waiting list. In this study the incremental cost-effectiveness ratio (ICER) and incremental cost-utility ratios (ICUR) of the introduction of Deprexis® as a complement of CAU for the treatment of depression in the region of Catalonia and from the perspective of both, society, and that of the National Health Service, were estimated using a Markov model. It was found that, when compared with CAU, the introduction of Deprexis® incurred an ICER of 3,866 € per clinically improved individual over a one-year time horizon and a ICUR of 125,498 € per quality adjusted life year from the perspective of the National Health service, and 2,248 € per clinically improved individual and 72,970 € per QALY from the societal perspective |
dc.format.mimetype |
application/pdf |
dc.language |
eng |
dc.language.iso |
eng |
dc.subject.other |
Treball de fi de màster – Curs 2020-2021 |
dc.title |
Cost-effectiveness and costutility analysis of Deprexis®, a digital therapy intended for the treatment of mild to severe depression, in Catalonia |
dc.type |
info:eu-repo/semantics/masterThesis |
dc.subject.keyword |
cost-effectiveness |
dc.subject.keyword |
cost-utility |
dc.subject.keyword |
COVID-19 |
dc.subject.keyword |
depression |
dc.subject.keyword |
digital health |
dc.subject.keyword |
Markov model |
dc.rights.accessRights |
info:eu-repo/semantics/openAccess |