Collaborative care, a team-based approach to integrating primary and behavioral health, is effective in reducing depressive and anxiety symptoms and improving clinical outcomes. However, attempts to optimize collaborative care in real world settings have been hindered by patient (stigma, low self-efficacy, low perceived treatment efficacy), provider (suboptimal symptom recognition and communication at referral), and system (limited resources, lack of screening) level barriers. Few if any prior studies have focused on assessing the effectiveness of multi-level strategies to optimize treatment engagement in primary care settings in the sustainability phase of collaborative care.
Using the behavior change wheel (BCW) framework, we created a multi-level strategy for optimizing treatment in primary care settings with collaborative care programs. The strategy involves system/staff-level problem solving, patient-level electronic screening, patient activation, and an automated shared decision-making tool in addition to primary care provider-level behavioral health education with automated decisional support.
The investigators now aim to test this multifaceted implementation strategy for optimizing treatment amongst patients with elevated depressive symptoms (with or without co-morbid anxiety) in the ambulatory care network (ACN) clinics of New York Presbyterian Hospital (NYPH) with established/mature collaborative care programs that predominantly care for socioeconomically disadvantaged and minority patients. We will randomize providers to either the multicomponent strategy or enhanced usual care. The investigators aim to assess the effectiveness of this intervention on patient engagement in mental health treatment (primary outcome) as well as on provider action to optimize/manage treatment (secondary outcome).
