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Case Reports

JCP
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Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR*D and CAN-BIND-1 Report

Quality of life is an important patient-centric outcome. Using machine learning methods, this study found that quality of life improvement with antidepressant treatment can be predicted using early depression symptoms and quality of life impairment.
JCP
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Predictors and Risk Factors of Treatment-Resistant Depression: A Systematic Review

Early identification of individuals with major depressive disorder who are likely to develop treatment-resistant depression (TRD) is needed. This study reviewed the literature to identify and categorize the predictors of and risk factors for TRD.
JCP
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Longitudinal Description and Prediction of Smoking Among Borderline Patients: An 18-Year Follow-Up Study

This study assessed predictors of smoking in borderline personality disorder and compared smoking prevalence in recovered vs non-recovered patients.
JCP
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Pimavanserin 34 mg at Bedtime for the Treatment of Insomnia in 6 Veterans With Posttraumatic Stress Disorder

Patients in this pilot study reported significantly improved sleep quality with pimavanserin.
JCP
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Medication Adherence in a Transdiagnostic First-Episode Psychosis Sample

Thirty percent of patients with first-episode psychosis showed non-adherence to medication over a period of up to 5½ years. Treatment factors such as the type or dose of antipsychotic were not associated with adherence level.
JCP
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Training for Lasting Change: Trauma-Informed Training Results in Improved and Sustained Individual and Organizational Knowledge, Attitudes, and Policies

Two-day training in trauma-informed care (TIC) significantly improved understanding and implementation of TIC at both the individual and systemwide levels.

Topical Research