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Factors Associated with Treatment Dropout in Patients with Mood Disorders
Hwagyu Suh1,2, Eunsoo Moon1,2,3, Hyunju Lim1,2
1Department of Psychiatry, Pusan National University Hospital, Busan, Korea.
Summary
Younger age and specific mood disorder diagnoses significantly increase the risk of treatment dropout. While coping strategies initially appeared linked to dropout, these associations weakened in further analysis.
Area of Science:
- Psychiatry
- Clinical Psychology
- Medical Research
Background:
- Treatment dropout is a significant issue in mood disorder management, negatively impacting patient outcomes.
- Understanding factors contributing to dropout is crucial for improving treatment retention and long-term prognosis.
Purpose of the Study:
- To identify clinical and psychological predictors of treatment dropout in patients with mood disorders.
- To specifically examine the role of stress coping strategies in treatment attrition.
Main Methods:
- A retrospective cohort study of 321 patients diagnosed with mood disorders.
- Data collected from diagnostic evaluations and psychological assessments between April 2010 and March 2021.
- Treatment dropout defined by prolonged absence from outpatient appointments without consultation.
Main Results:
- Younger age was a significant predictor of increased dropout hazard (HR=0.987, p=0.034).
- Diagnostic category significantly influenced dropout risk, with bipolar II disorder, major depressive disorder, and other depressive disorders showing higher dropout hazards compared to bipolar I disorder.
- Emotion-oriented coping and pleasure-seeking activities showed univariate associations with dropout, but these were not significant in multivariable analysis.
Conclusions:
- Younger age and specific diagnostic categories are robust predictors of treatment dropout in mood disorder patients.
- Initial associations between coping strategies and dropout were not sustained after adjusting for demographic and clinical factors.
- These findings highlight the importance of considering age and diagnosis in strategies to mitigate treatment dropout.
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