Optimizing treatment for depression in primary care using psychotherapy versus antidepressant medication in a low-resource setting: protocol for the OptimizeD randomized controlled trial

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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
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Published
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DOI
10.1186/s12888-025-07030-9
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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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