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Related Experiment Video

Updated: May 14, 2026

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method

Published on: August 2, 2021

Towards personalizing treatment for depression : developing treatment values markers.

Marsha N Wittink¹, Knashawn H Morales, Mark Cary

¹Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA. marsha_wittink@URMC.Rochester.edu

|February 20, 2013

Summary

This study introduces "values markers" to personalize depression treatment based on patient preferences for medication versus counseling. These markers could improve patient-centered care and treatment adherence.

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Published on: July 7, 2023

Area of Science:

Psychiatry and Behavioral Health
Health Services Research
Personalized Medicine

Background:

Personalized medicine often focuses on genetic markers for drug response.
Tailoring treatments to patient preferences and values is crucial for effective care.
This study addresses the need to incorporate patient values into treatment selection.

Purpose of the Study:

To develop and demonstrate a method for creating "values markers" for depression treatment.
To identify distinct patient profiles based on preferences for treatment attributes.
To advance patient-centered care in mental health treatment selection.

Main Methods:

Discrete choice analysis was employed to assess patient preferences for depression treatment features.
Latent profile analysis was used to develop preference profiles.
Eighty-six adults completed an internet-based discrete choice questionnaire comparing treatment scenarios.

Main Results:

Three distinct patient profiles emerged: preference for counseling, preference for medication, and preference for counseling in medical settings.
Profile 1 (counseling preference) was more prevalent in severe depression scenarios.
Patients with severe depression showed a preference for mental health professionals over primary care or spiritual counselors.

Conclusions:

Values markers offer a framework for personalized medicine by incorporating patient values.
These markers align with current patient-centered care initiatives.
Future research should investigate if values markers predict treatment initiation and adherence.