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Updated: Jun 24, 2026

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
Published on: August 2, 2021
Predictors of attrition during one year of depression treatment: a roadmap to personalized intervention
Diane Warden1, A John Rush, Thomas J Carmody
1Department of Psychiatry, University of Texas Southwestern Medical Center at Dallas, 5323 Harry Hines Blvd., Dallas, TX 75390-9119, USA. Diane.Warden@UTSouthwestern.edu
Objective:
Attrition from treatment in the short and long term for major depressive disorder (MDD) is clearly an adverse outcome. To assist in tailoring the delivery of interventions to specific patients to reduce attrition, this study reports the incidence, timing, and predictors of attrition from outpatient treatment in public mental health clinics.
Methods:
Outpatients with psychotic and nonpsychotic MDD receiving measurement-based care in the Texas Medication Algorithm Project (N=179) were evaluated to determine timing and rates of attrition as well as baseline sociodemographic, clinical, and attitudinal predictors of attrition.
Results:
Overall, 23% (42/179) of the patients left treatment by 6 months, and 47% (84/179) left by 12 months. Specific beliefs about the impact of medication, such as its perceived harmfulness, predicted attrition at both 6 and 12 months. Younger age (P=0.0004) and fewer side effects at baseline (P=0.0376) were associated with attrition at 6 months. Younger age (P=0.0013), better perceived physical functioning (P=0.0007), and more negative attitudes about psychiatric medications at baseline (P=0.0075) were associated with attrition at 12 months.
Conclusions:
Efforts to elicit attitudes about medications and tailoring educational and other retention interventions for patients with negative beliefs about antidepressants both when initiating a new medication and throughout treatment may reduce attrition. Particular focus on younger patients and those requiring frequent visits may be helpful.
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