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. 2009 Mar;15(2):113-24.
doi: 10.1097/01.pra.0000348364.88676.83.

Predictors of attrition during one year of depression treatment: a roadmap to personalized intervention

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Predictors of attrition during one year of depression treatment: a roadmap to personalized intervention

Diane Warden et al. J Psychiatr Pract. 2009 Mar.

Abstract

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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Figures

Figure 1
Figure 1. Classification Tree to Predict Attrition at 6 Months
Ellipse: Node that can be further split Rectangle: Terminal node MAST: Michigan Alcohol Screening Test SAFTEE: Systematic Assessment for Treatment Emergent Events SF-12 Mental: Mental subscale of the Short-Form Health Survey
Figure 2
Figure 2. Classification Tree to Predict Attrition at 12 Months
Ellipse: Node that can be further split Rectangle: Terminal node DAI: Drug Attitude Inventory DAST: Drug Abuse Screening Test

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References

    1. Melfi CA, Chawla AJ, Croghan TW, et al. The effects of adherence to antidepressant treatment guidelines on relapse and recurrence of depression. Arch Gen Psychiatry. 1998;55:1128–32. - PubMed
    1. Warden D, Rush AJ, Wisniewski SR, et al. What predicts attrition in second step medication treatments for depression?: A STAR*D Report. Int J Neuropsychopharmacol. 2008 Jul 9;:1–15. doi: 10.1017/S1461145708009073. [epub ahead of print] - DOI - PMC - PubMed
    1. Katon W, Von Korff M, Lin E, et al. Adequacy and duration of antidepressant treatment in primary care. Med Care. 1992;30:67–76. - PubMed
    1. Lin EHB, Von Korff M, Katon W, et al. The role of the primary care physician in patients' adherence to antidepressant therapy. Med Care. 1995;33:67–74. - PubMed
    1. Maddox JC, Levi M, Thompson C. The compliance with antidepressants in general practice. J Psychopharmacol. 1994;8:48–53. - PubMed

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