Leveraging Implementation Science to Integrate Digital Mental Health Interventions as part of Routine Care in a Practice Research Network.

The supply / demand issue in behavioral health care is a well-established fact, and the mental health toll of the COVID-19 pandemic continues to add challenges to an already taxed system. Existing healthcare models are not set up to adequately address the increasing mental health related needs. As such, innovative models are needed to provide patients with access to appropriate, evidence-based behavioral health care within routine clinical care. This paper introduces Precision Behavioral Health (PBH) as an example of such a model. PBH is an innovative, digital first care delivery model that provides an ecosystem of evidence-based digital mental health interventions to patients as a frontline behavioral health treatment within routine care in a large multispecialty group medical center in the United States. This paper describes the implementation of PBH within a practice research network set-up as part of an integrated behavioral health department. We will present how our team leveraged the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance; "What is RE-AIM?," n.d.) implementation science framework, which emphasizes the design, dissemination, and implementation processes at the individual, staff, and organizational levels, to prioritize key implementation constructs to enhance the successful integration of PBH within routine care. We describe how each of these constructs were operationalized to aid data gathering for rapid evaluation and lessons learned. We discuss the benefits of these types of initiatives across multiple stakeholders including patients, providers, organizations, payers, and digital intervention vendors.

Evaluation of the impact of a digital care navigator on increasing patient registration with digital mental health interventions in routine care.

Background: Less than half of adults with mental health disorders in the United States receive appropriate or timely care. Digital Mental Health Interventions (DMHIs) have the potential to bridge this gap. However, real-world adoption of DMHIs is impeded by patient and provider-level technological barriers. Care navigators have the potential to address these challenges by providing technical support and enhancing patients' experience with DMHIs. Objective: This study explores the effect of a digital care navigator (DCN) on patient registration latency and rates of DMHIs implemented as part of a digital-first behavioral health care model integrated within routine care at a large multispecialty group medical practice. Methods: Data were collected from electronic medical records and DMHI registration data were obtained from the DMHI vendors. Descriptive statistics were used to describe the DCN's efforts to help patients register with their DMHIs. Moods median tests evaluated differences in registration latency and weekly registration rate pre- and post- DCN implementation. Change in registration likelihood as a function of DCN outreach latency was investigated using a Kaplan-Meier plot. Results: During the first eight months, the DCN made 1306 phone calls to 680 unique patients, successfully connecting with 66 %. DCN implementation also increased the median registration rate from 61.9 % to 76.9 %. Results showed that the expediency by which the DCN outreached patients directly impacted registration rate such that of those who were outreached by the DCN on the day of their referral to a DMHI, 96.86 % registered. This number was reduced to 76.15 % if the DCN reached them 1-day following referral, and 41.39 % 5-days after their referral. Conclusions: Use of a DCN shows promise for enhancing patient registration rates with DMHIs in routine healthcare settings.