Development of a baseline battery to optimize depression treatment assignment in primary care: Balancing breadth and brevity
Julia R Pozuelo·Steven D. Hollon·Anant Bhan·John A. Naslund·Tyler J. VanderWeele·Tamonud Modak·Yashika Parashar·Mohammad M. Herzallah·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·Akanksha Shukla·Ronald C. Kessler·Arvind Singh Kushwah
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 ma
