Development of a baseline battery to optimize depression treatment assignment in primary care: Balancing breadth and brevity

This study shows how a structured, data-driven development process can yield a scientifically robust baseline assessment battery capturing a broad range of candidate treatment moderators. The battery will undergo further refinement following the results of the OptimizeD trial, which will identify the subset of baseline characteristics that meaningfully predict differential treatment response. While not intended as an implementation-ready clinical tool, the development framework presented here may help guide other researchers conducting similar precision treatment studies, particularly in resource-constrained settings.

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Publication Details

Journal
Journal of Affective Disorders
Published
2026-03-22
DOI
https://doi.org/10.1016/j.jad.2026.121674
Primary Topic
Mental Health Treatment and Access
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of a baseline battery to optimize depression treatment assignment in primary care: Balancing breadth and brevity

Akanksha Shukla, Arvind Singh Kushwah, Anant Bhan, John A. Naslund et al.
Journal of Affective Disorders
Mental Health Treatment and Access
article

Development of a baseline battery to optimize depression treatment assignment in primary care: Balancing breadth and brevity

Akanksha Shukla, Arvind Singh Kushwah, Anant Bhan, John A. Naslund, Tyler J. VanderWeele, Tamonud Modak, Julia R Pozuelo, Yashika Parashar, Mohammad M. Herzallah, Steven D. Hollon, Yashwant K. Mehra, Michelle Melwyn Joel, Mimansa Khanduri, Varun Shende, Alyssa Martinez, Anuja Lahiri, Karmel W. Choi, Daisy R. Singla, Rahul S.P. Singh, Jordan W. Smoller, Pim Cuijpers, G. Sruthi, Vikram Patel, Abhijit Rozatkar, Shubham Atal, Azaz Khan, Kathryn O'Neill, Ronald C. Kessler
article en

Abstract

This study shows how a structured, data-driven development process can yield a scientifically robust baseline assessment battery capturing a broad range of candidate treatment moderators. The battery will undergo further refinement following the results of the OptimizeD trial, which will identify the subset of baseline characteristics that meaningfully predict differential treatment response. While not intended as an implementation-ready clinical tool, the development framework presented here may help guide other researchers conducting similar precision treatment studies, particularly in resource-constrained settings.

Journal of Affective DisordersVol. 405
University of North Carolina at Chapel Hill (US), Centre for Addiction and Mental Health (CA), Harvard University (US), University of the Witwatersrand (ZA), Vanderbilt University (US), Lunenfeld-Tanenbaum Research Institute (CA), Al-Quds University (PS), Babeș-Bolyai University (RO), Massachusetts General Hospital (US), Mental Health Research Canada (CA), Sangath (IN), All India Institute of Medical Sciences Bhopal (IN), Harvard Global Health Institute (US)
Openalex Percentile: Top 19%
Mental Health Treatment and Access
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