Mobile health monitoring to characterize depression symptom trajectories in primary care (original) (raw)

Journal of affective disorders, 2015

Abstract

Classification of depression severity can guide treatment decisions. This study examined whether using repeated mobile health assessments to determine symptom trajectories is a potentially useful method for classifying depression severity. 344 primary care patients with depression were identified and recruited as part of a program of mobile health symptom monitoring and self-management support. Depression symptoms were measured weekly via interactive voice response (IVR) calls using the Patient Health Questionnaire (PHQ-9). Trajectory analysis of weekly IVR PHQ-9 scores from baseline through week 6 was used to subgroup patients according to similar trajectories. Multivariable linear regression was used to determine whether the trajectories predicted 12-week PHQ-9 scores after adjusting for baseline and 6-week PHQ-9 scores. The optimal trajectory analysis model included 5 non-intersecting trajectories. The subgroups of patients assigned to each trajectory had mean baseline PHQ-9s of ...

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