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.

Psychosocial factors and the pain experience of osteoarthritis patients: new findings and new directions.

PURPOSE OF REVIEW: The present paper reviews recent psychosocial research in the area of osteoarthritis pain. First, the review highlights studies of psychosocial factors that can influence osteoarthritis pain. Next, research testing the efficacy of psychosocial treatments for osteoarthritis pain is summarized. RECENT FINDINGS: Recent studies suggest that asking osteoarthritis patients to recall pain experiences may not be as accurate as having them keep daily pain records. New studies also support the notion that fatigue and increased weight are linked to higher osteoarthritis pain. Osteoarthritis patients who report higher levels of depression are more prone to report increased osteoarthritis pain. New studies also indicate that social factors such as ethnic background, ability to communicate pain to others, and participation in social activities can influence osteoarthritis pain and disability. Cognitions about pain (i.e. pain catastrophizing, acceptance, self-efficacy for pain) also have been found to relate to pain in patients with osteoarthritis. Recent, randomized controlled studies suggest that psychosocial interventions (i.e. self-management programs, exercise) can decrease osteoarthritis pain and disability. SUMMARY: Several psychosocial variables have been suggested as influencing osteoarthritis pain and disability. There is evidence that psychosocial interventions may decrease osteoarthritis pain and disability.