Optimizing treatment for depression in primary care using psychotherapy versus antidepressant medication in a low-resource setting: protocol for the OptimizeD randomized controlled trial
Overview
This protocol outlines the OptimizeD randomized controlled trial, which compares behavioral activation therapy and antidepressant medication for treating moderate to severe depression in primary care settings in Bhopal, India. The study aims to use machine learning to develop a precision treatment rule that predicts optimal interventions based on baseline patient data. It includes a cost-effectiveness analysis and secondary objectives regarding treatment mechanisms and biological markers.
- ID
03e5b434c6e24b23- Source org
- PubMed Central
- Author
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- Published
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- DOI
- 10.1186/s12888-025-07030-9
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Cite this entry
BibTeX
@article{allodium:03e5b434c6e24b23,
title = {Optimizing treatment for depression in primary care using psychotherapy versus antidepressant medication in a low-resource setting: protocol for the OptimizeD randomized controlled trial},
journal = {PubMed Central},
doi = {10.1186/s12888-025-07030-9},
url = {https://doi.org/10.1186/s12888-025-07030-9}
}RIS
TY - JOUR TI - Optimizing treatment for depression in primary care using psychotherapy versus antidepressant medication in a low-resource setting: protocol for the OptimizeD randomized controlled trial PB - PubMed Central DO - 10.1186/s12888-025-07030-9 UR - https://doi.org/10.1186/s12888-025-07030-9 ER -
APA
Optimizing treatment for depression in primary care using psychotherapy versus antidepressant medication in a low-resource setting: protocol for the OptimizeD randomized controlled trial. (n.d.). PubMed Central. https://doi.org/10.1186/s12888-025-07030-9
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