Leveraging Behavioral Economics and Implementation Science to Engage Suicidal Patients in Mental Health Treatment

In 2017, there were more than 800,000 deaths by suicide worldwide. Patients at high risk for suicide are less likely to die by suicide if they engage in psychotherapy. However, despite the development of evidence-based practices (EBPs) for suicide prevention, rates of suicide in the U.S. have increased by approximately 30% over the past two decades. One way to lower these rates would be to increase treatment initiation among those at risk. Suicidal individuals have difficulty engaging in mental health services, yet no studies have systematically developed and tested strategies to increase treatment initiation for suicidal patients.

Nearly two-thirds of people who die by suicide interact with a primary care clinician in the year prior to death, making primary care an optimal setting in which to identify individuals at risk for suicide and connect them to mental health care. Yet only half of those referred by primary care providers attend an initial mental health visit, even when referred to care within the same practice. Various strategies to increase attendance at first appointment, including reminder calls and texts, motivational and informational interventions, and case management, have demonstrated small to moderate effects. Even when these strategies are implemented, approximately 40% of patients do not initiate treatment, suggesting that additional work is needed.

The primary objective of this study is to develop acceptable, feasible, low-cost, and effective strategies that increase patients' treatment initiation (i.e., attendance at a first mental health visit) following identification of suicide risk in primary care. The investigators will partner with a large, diverse health system to rapidly prototype and test promising strategies to achieve this objective. Rapid prototyping involves a series of rigorous tests to optimize operations in the early-study stages. Industries outside of health care commonly use this approach to learn quickly and "de-risk" decision-making on a short timeline prior to a large roll-out. To maximize generalizability, the investigators will use rapid prototyping to develop strategies for increasing attendance in both collaborative care and outpatient specialty mental health. The strategies the investigators develop and test will be informed by behavioral economics and implementation science methods, leveraging the University of Pennsylvania's P50 ALACRITY center. In accordance with an experimental medicine approach to behavior change, the investigators will also identify and target mechanisms of action that impede treatment attendance. The specific aims are to:

Aim 1. Identify characteristics of suicidal patients who do or do not attend a first mental health visit following referral. The sample will include adults 18 years and older, including Medicare, Medicaid, and commercial insurance enrollees, who are referred for mental health services after an initial screening in primary care identified suicidal ideation. Using medical records, the investigators will compare characteristics of patients who initiate treatment to those patients who do not. When possible, the investigators will utilize insurance claims data to identify any mental health services utilization that occurred outside the health system. The investigators also will explore data from patients who report suicidal ideation in primary care and are not referred to mental health services.

Aim 2. Apply established approaches to contextual inquiry to identify barriers and facilitators to mental health treatment attendance for individuals at risk of suicide. The investigators will use direct observation and brief interviews with key stakeholders, including leaders (n = 12), primary care providers (n = 12), behavioral health providers (n = 12), mental health intake coordinators (n = 5), and patients who do (n = 12) and do not (n = 12) attend a first mental health visit following referral from primary care to understand key structural and behavioral barriers, facilitators, and mechanisms to engaging patients at risk for suicide in mental health services. The investigators also will use behavioral tasks and self-report measures to assess putative mechanisms of action in patient stakeholders.