Literature Collection

BACKGROUND: Although opioid agonist therapy is effective in treating opioid use disorders (OUD), retention in opioid agonist therapy is suboptimal, in part, due to quality of care issues. Therefore, we sought to describe the planning and implementation of a quality improvement initiative aimed at closing gaps in care for people living with OUD through changes to workflow and care processes in Vancouver, Canada. METHODS: The Best-practice in Oral Opioid agoniSt Therapy (BOOST) Collaborative followed the Institute for Healthcare Improvement's Breakthrough Series Collaborative methodology over 18-months. Teams participated in a series of activities and events to support implementing, measuring, and sharing best practices in OAT and OUD care. Teams were assigned monthly implementation scores to monitor their progress on meeting Collaborative aims and implementing changes. RESULTS: Seventeen health care teams from a range of health care practices caring for a total of 4301 patients with a documented diagnosis of OUD, or suspected OUD based on electronic medical record chart data participated in the Collaborative. Teams followed the Breakthrough Series Collaborative methodology closely and reported monthly on a series of standardized process and outcome indicators. The majority of (59%) teams showed some improvement throughout the Collaborative as indicated by implementation scores. CONCLUSIONS: Descriptive data from the evaluation of this initiative illustrates its success. It provides further evidence to support the implementation of quality improvement interventions to close gaps in OUD care processes and treatment outcomes for people living with OUD. This system-level approach has been spread across British Columbia and could be used by other jurisdictions facing similar overdose crises.

OBJECTIVES: To integrate a computerized adaptive test for depression into the electronic health record (EHR) and establish systems for administering assessments in-clinic and via a patient portal to improve depression care. MATERIALS AND METHODS: This article reports the adoption, implementation, and maintenance of a health information technology (IT) quality improvement (QI) project, Patient Outcomes Reporting for Timely Assessment of Life with Depression (PORTAL-Depression). The project was conducted in a hospital-based primary care clinic that serves a medically underserved metropolitan community. A 30-month (July 2017-March 2021) QI project was designed to create an EHR-embedded system to administer adaptive depression assessments in-clinic and via a patient portal. A multi-disciplinary team integrated 5 major health IT innovations into the EHR: (1) use of a computerized adaptive test for depression assessment, (2) 2-way secure communication between cloud-based software and the EHR, (3) improved accessibility of depression assessment results, (4) enhanced awareness and documentation of positive depression results, and (5) sending assessments via the portal. Throughout the 30-month observational period, we collected administrative, survey, and outcome data. RESULTS: Attending and resident physicians who participated in the project were trained in depression assessment workflows through presentations at clinic meetings, self-guided online materials, and individual support. Developing stakeholder relationships, using an evaluative and iterative process, and ongoing training were key implementation strategies. CONCLUSIONS: The PORTAL-Depression project was a complex and labor-intensive intervention. Despite quick adoption by the clinic, only certain aspects of the intervention were sustained in the long term due to financial and personnel constraints.

In the last 15 years, demand has surged among college students for mental health care and many campuses are struggling to keep up with the demand for services. Primary care services represent a pathway where individuals can receive mental health care without accessing specialty mental health services. There is evidence that integrating mental health services into primary care can reduce racial disparities in access to mental health care and provide greater access to mental health care for underserved persons. This paper describes the development and implementation of a fully integrated model of mental health care services into Xavier University's (XU) primary care clinic. In partnership with TriHealth, a local healthcare provider, and following the primary care behavioral care model, XU integrated supervised psychology doctoral students as behavior health consultants into a campus primary care clinic. Administrative, clinical care, and training processes together with preliminary findings and recommendations are shared.

INTRODUCTION: Medications for opioid use disorder (MOUD) are the most effective treatment for opioid use disorder (OUD) but remain underutilized. To reduce barriers to MOUD prescribing and increase treatment access, New Jersey's Medicaid program implemented the Office-Based Addiction Treatment (OBAT) Program in 2019, which increased reimbursement for office-based buprenorphine prescribing and established newly reimbursable patient navigation services in OBAT clinics. Using a mixed-methods design, this study aimed to describe stakeholder experiences with the OBAT program and to assess implementation and uptake of the program. METHODS: This study used a concurrent, triangulated mixed-methods design, which integrated complementary qualitative (semi-structured interviews) and quantitative (Medicaid claims) data to gain an in-depth understanding of the implementation of the OBAT program. We elicited stakeholder perspectives through interviews with 22 NJ Medicaid MOUD providers and 8 policy key informants, and examined trends in OBAT program utilization using 2019-2020 NJ Medicaid claims for 5380 Medicaid enrollees who used OBAT services. We used cross-case analysis (provider interviews) and a case study approach (key informant interviews) in analyzing qualitative data, and calculated descriptive statistics and trends for quantitative data. RESULTS: Provider enrollment and utilization of OBAT services increased steadily during the first two years of program implementation. Interviewees reported that enhanced reimbursements for office-based MOUD incentivized greater MOUD prescribing, while coverage of patient navigation services improved patient care. Despite increasing enrollment in the OBAT program, the proportion of primary care physicians in the state who enrolled in the program remained limited. Key barriers to enrollment included: requirements for a patient navigator; concerns about administrative burdens and reimbursement delays from Medicaid; lack of awareness of the program; and beliefs that patients with OUD were better served in comprehensive care settings. Patient navigation was highlighted as a critical and valuable element of the program, but navigator enrollment and reimbursement challenges may have prevented greater uptake of this service. CONCLUSIONS: Implementation of an OBAT model that enhanced reimbursement and provided coverage for patient navigation likely expanded access to MOUD in NJ. Results support initiatives like the OBAT program in improving access to MOUD, but program adaptations, where feasible, could improve uptake and utilization.