Grant Number: U19MH121738
Grant Period: 9/23/2019 – 6/30/2024
Narrative: An increasing number of digital mental health technologies are being developed to expand access to mental health treatments and deliver them in a cost-effective manner. Although efficacy trials of these technologies demonstrate improved patient outcomes, especially when combined with coaching support, there is little evidence that such digital tools can be widely implemented and sustained in routine care settings.
Perinatal depression is one area of significant public health concern where the role of digital mental health technology is especially relevant. Approximately 30-40% of women with histories of depression experience relapse during the perinatal period, a majority show poor adherence to antidepressants (ADs), the most common prevention treatment, and a majority express a preference for non-pharmacologic treatments. However, effective and easily accessible non-pharmacologic treatments are not widely available. Inadequate treatment for perinatal depression poses unique risks, including potential obstetrical and neonatal complications associated with perinatal depression itself and with fetal exposure to ADs. It is therefore imperative to test the implementation of effective and scalable non-pharmacological treatments to reduce the risk of depression relapse in the perinatal period.
Mindfulness-Based Cognitive Therapy (MBCT) is a promising preventive intervention for pregnant women with recurrent depression (as well as for adults in general), demonstrating significant reductions in rates of depressive relapse and residual depressive symptoms. MBCT is an eight-session in-person group intervention targeting risk factors for depressive relapse through a combination of mindfulness meditation and cognitive-behavioral strategies. Because of challenges in delivering in-person MBCT (difficulty for health systems to scale up the intervention, barriers to access for pregnant women), we developed a mobile-first digital adaptation of MBCT for pregnant women, Mindful Mood Balance for Moms (MMBFM).
The critical next phase of our work is to evaluate the potential of MMBFM as an effective intervention that can be more widely adopted, implemented, and sustained across heterogeneous patient populations and health care systems. We propose a large pragmatic hybrid type II effectiveness–implementation trial comparing MMBFM to usual care (UC) among pregnant women at risk for recurrent depression at four MHRN sites: KP Colorado, KP Southern California, HealthPartners, and KP Georgia to address the following aims:
AIM 1: Test the effectiveness of MMBFM in reducing depression symptoms, reducing risk of relapse or significant worsening, and improving perinatal outcomes when implemented in real-world health systems.
AIM 2: Evaluate the incremental cost-effectiveness of MMBFM compared to UC.
AIM 3: Evaluate healthcare system’s implementation of MMBFM using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) model.
- Lead Site:
- Overall PI: KPCO (Project lead Arne Beck)
- Participating Sites/Subcontractors:
- HPI (Site PI Kristen Palmsten)
- KPGA (Site PI Courtney McCracken)
- GSU (Site PI and site project lead for KPGA Ashli Owen-Smith)
- KPNW (Site PI Frances Lynch)
- KPSC (Site PI Karen Coleman)
- UCB (Co-I Sona Dimidjian)
- Funder Contacts
- Science Officer: Susan Azrin
- Program Official: Michael Freed
- Grants Management Official: Julie Bergerud
Personnel Contact List
Enrollment is approximately 80% complete for the randomized trial comparing depression outcomes for participants in the Mindful Mood Balance for Moms (MMBFM) online program who receive professional or peer telephonic coaching. All four sites have engaged their OB leaders and stakeholders and are starting the cluster randomized trial to assess the impact of implementation strategies on participants’ initial engagement in the MMBFM program. Coaching trial enrollment will be complete by end of 2022, and implementation trial enrollment will be complete by second quarter of 2023. Follow-up data collection through three months postpartum and data analysis for both trials and for the cost-effectiveness analysis will be conducted from third quarter 2023 through third quarter of 2024.
Summary of findings
Not yet available