Collaborative Care Model for Perinatal Depression Support Services -- Population-Level Equity-Centered Systems Change (COMPASS-PLUS): A Hybrid Type 2 Cluster Randomized Trial
Women and Infants Hospital of Rhode Island
Summary
The collaborative care model (CCM) is a health services intervention that integrates mental health care in primary care settings. The goal of this study is to adapt the CCM to the perinatal care context, including community co-designed adaptations to enhance health equity (COMPASS+). The main objectives of the study are to: 1. Evaluate the effect of COMPASS+ on depression symptom outcomes. Specifically we will evaluate population-level depression symptom trajectories and the prevalence of suicidal ideation among. We will also measure rates of depression response and remission for those who have elevated screen scores (i.e., PHQ9 ≥ 10) 2. Adapt, optimize, and evaluate COMPASS+ implementation strategies to the unique context of perinatal care and evaluate implementation outcomes. The RE-AIM framework will be used to evaluate implementation outcomes (acceptability, appropriateness, feasibility, and fidelity). We hypothesize that variability in effectiveness outcomes will be attributable to variability in fidelity to the implementation strategies or in implementation outcomes. 3. Identify the effect of COMPASS+ on perinatal depression and implementation outcomes across racial and ethnic subgroups.
Description
One in five women experiences perinatal depression (PD), defined as an episode of major depressive disorder, during pregnancy or postpartum. PD can have devastating consequences for the individual, family, and community. In its most extreme form, PD can lead directly to suicide, a leading contributor to maternal mortality (MM). Untreated PD also indirectly contributes to severe maternal morbidity (SMM) and MM via associated behavioral risk factors. Despite evidence-based recommendations for PD, only 3-5% of women with PD will achieve remission of their depressive symptoms. Gaps in addressing s…