A Promising Approach to Optimizing Sequential Treatment Decisions for Depression: Markov Decision Process.

ABSTRACT: The most appropriate next step in depression treatment after the initial treatment fails is unclear. This study explores the suitability of the Markov decision process for optimizing sequential treatment decisions for depression. We conducted a formal comparison of a Markov decision process approach and mainstream state-transition models as used in health economic decision analysis to clarify differences in the model structure. We performed two reviews: the first to identify existing applications of the Markov decision process in the field of healthcare and the second to identify existing health economic models for depression. We then illustrated the application of a Markov decision process by reformulating an existing health economic model. This provided input for discussing the suitabili

SUBMITTER: Li F 

PROVIDER: S-EPMC9550715 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature