Abstract
Major depressive disorder (MDD) is one of the leading causes of disability worldwide, and a considerable portion of depressed patients does not respond well to available treatment strategies. Algorithm-based treatment may contribute to improving the MDD outcomes and have the potential to homogenize the pharmacological treatment of MDD patients, facilitating outcome research and cost-effectiveness analysis. This chapter provides a critical review of the available literature on the use of treatment algorithms for the management of MDD. The main available algorithms, their effectiveness, and challenges and limitations associated with their development are discussed. Finally, we provide a discussion of the future direction of algorithm-based treatments for MDD.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
