Recent Developments in the Treatment of Depression
The cognitive and behavioral interventions can be as efficacious as antidepressant medications and more enduring, but some patients will be more likely to respond to one than the other. Recent work has focused on developing sophisticated selection algorithms using machine-learning approaches that an...
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Published in | Behavior therapy Vol. 50; no. 2; pp. 257 - 269 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.03.2019
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Subjects | |
Online Access | Get full text |
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Summary: | The cognitive and behavioral interventions can be as efficacious as antidepressant medications and more enduring, but some patients will be more likely to respond to one than the other. Recent work has focused on developing sophisticated selection algorithms using machine-learning approaches that answer the question, “What works best for whom?” Moreover, the vast majority of people suffering from depression reside in low- and middle-income countries where access to either psychotherapy or medications is virtually nonexistent. Great strides have been made in training nonspecialist providers (known as task sharing) to overcome this gap. Finally, recent work growing out of evolutionary psychology suggests that antidepressant medications may suppress symptoms at the expense of prolonging the underlying episode so as to increase the risk of relapse whenever someone tries to stop. We address each of these developments and their cumulative implications.
•Selection algorithms can be used to identify optimal treatment for a given patient•Task sharing can make treatment accessible in low- and middle-income countries•Antidepressants may suppress symptoms at the expense of prolonging the episode |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 |
ISSN: | 0005-7894 1878-1888 |
DOI: | 10.1016/j.beth.2019.01.002 |