Literature Collection

Background: People with opioid use disorders (OUDs) are at heightened risk for involvement with the criminal justice system. Growing evidence supports the safety and effectiveness of providing empirically supported treatments for OUD, such as medications for OUD (M-OUD), to people with criminal justice involvement including during incarceration or upon reentry into the community. However, several barriers limit availability and accessibility of these treatment options for people with OUDs, including a shortage of healthcare and justice professionals trained in how to implement them. This study evaluated a novel education program, the Indiana Jail OUD Treatment ECHO, designed to disseminate specialty knowledge and improve attitudes about providing M-OUD in justice settings. Methods: Through didactic presentations and case-based learning (10 bimonthly, 90-min sessions), a multidisciplinary panel of specialists interacted with a diverse group of community-based participants from healthcare, criminal justice, law enforcement, and related fields. Participants completed standardized surveys about OUD knowledge and attitudes about delivering M-OUD in correctional settings. Thematic analysis of case presentations was conducted. Results: Among 43 participants with pre- and post-series evaluation data, knowledge about OUD increased and treatment was viewed as more practical after the ECHO series compared to before. Cases presented during the program typically involved complicated medical and psychiatric comorbidities, and recommendations addressed several themes including harm reduction, post-release supports, and integration of M-OUD and non-pharmacological interventions. Conclusions: Evaluation of future iterations of this innovative program should address attendance and provider behavior change as well as patient and community outcomes associated with ECHO participation.

BACKGROUND: Identifying and treating acute and chronic behavioral health conditions is integral to primary care practice, yet primary care nurse practitioner (NP) training models do not meet the demand for integrated behavioral health practices. Simulation offers an effective pedagogical tool for integrating behavioral health training in primary care. METHOD: With support from federal funding and external consultants, new didactic and complementary simulation curricula in integrated behavioral health care were introduced in the primary care and psychiatric mental health NP programs at a school of nursing. Two rounds of this curricular innovation were implemented and evaluated across specialties. RESULTS: Ninety-seven students participated in the training and reported enhanced behavioral-health assessment and hand-off skills, greater confidence in applying core content, and improved communication skills. CONCLUSION: Thoughtfully designed simulation offers an important tool for developing integrated behavioral health competencies that will help prepare future primary care clinicians meet the needs of patients and communities. [J Nurs Educ. 2024; 63(2):128-133.].

OBJECTIVES: Provision of smoking-cessation treatment is limited in office-based buprenorphine maintenance treatment (BMT) settings. This study describes smoking and smoking-cessation behaviors among patients receiving office-based BMT. METHODS: Cross-sectional study of patients receiving office-based BMT at a community health center in the Bronx, NY. We interviewed patients assessing sociodemographic, and substance use and tobacco use characteristics, including methods used for smoking cessation. We reported simple frequencies and explored associations of BMT characteristics with smoking behaviors. RESULTS: Of 68 patients, 87.7% were current cigarette smokers, 7.9% were former smokers, and 4.4% had never smoked. Of lifetime smokers, 83.1% reported at least 1 prior quit attempt, and 78.5% had used medication (75.4% used nicotine replacement therapy, 29.2% varenicline, and 9.2% bupropion). Ten patients (15.4%) reported using electronic cigarettes to try to quit smoking. Stopping "cold turkey" (40.0%) and gradually decreasing the number of cigarettes smoked (32.3%) were nonpharmacological methods of quitting tried most often. Use of behavioral support, including stop-smoking programs and counseling, was low. Higher dose and longer duration of BMT was associated with greater smoking frequency. CONCLUSIONS: Patients receiving BMT have a high prevalence of cigarette smoking, though most have tried to quit, and have prior experience with pharmacotherapy for smoking cessation. Efforts to optimize smoking-cessation treatments among BMT patients are needed.

Background: The COVID-19 pandemic resulted in a marked increase in telehealth for the provision of primary care-based opioid use disorder (OUD) treatment. This mixed methods study examines characteristics associated with having the majority of OUD-related visits via telehealth versus in-person, and changes in mode of delivery (in-person, telephone, video) over time. Methods: Logistic regression was performed using electronic health record data from patients with ≥1 visit with an OUD diagnosis to ≥1 of the two study clinics (Rural Health Clinic; urban Federally Qualified Health Center) and ≥1 OUD medication ordered from 3/8/2020-9/1/2021, with >50% of OUD visits via telehealth (vs. >50% in-person) as the dependent variable and patient characteristics as independent variables. Changes in visit type over time were also examined. Inductive coding was used to analyze data from interviews with clinical team members (n = 10) who provide OUD care to understand decision-making around visit type. Results: New patients (vs. returning; OR = 0.47;95%CI:0.27-0.83), those with ≥1 psychiatric diagnosis (vs. none; OR = 0.49,95%CI:0.29-0.82), and rural clinic patients (vs. urban; OR = 0.05; 95%CI:0.03-0.08) had lower odds of having the majority of visits via telehealth than in-person. Patterns of visit type varied over time by clinic, with the majority of telehealth visits delivered via telephone. Team members described flexibility for patients as a key telehealth benefit, but described in-person visits as more conducive to building rapport with new patients and those with increased psychological burden. Conclusion: Understanding how and why telehealth is used for OUD treatment is critical for ensuring access to care and informing OUD-related policy decisions.

IMPORTANCE: During the COVID-19 pandemic, a large fraction of mental health care was provided via telemedicine. The implications of this shift in care for use of mental health service and quality of care have not been characterized. OBJECTIVE: To compare changes in care patterns and quality during the first year of the pandemic among Medicare beneficiaries with serious mental illness (schizophrenia or bipolar I disorder) cared for at practices with higher vs lower telemedicine use. DESIGN, SETTING, AND PARTICIPANTS: In this cohort study, Medicare fee-for-service beneficiaries with schizophrenia or bipolar I disorder were attributed to specialty mental health practices that delivered the majority of their mental health care in 2019. Practices were categorized into 3 groups based on the proportion of telemental health visits provided during the first year of the pandemic (March 2020-February 2021): lowest use (0%-49%), middle use (50%-89%), or highest use (90%-100%). Across the 3 groups of practices, differential changes in patient outcomes were calculated from the year before the pandemic started to the year after. These changes were also compared with differential changes from a 2-year prepandemic period. Analyses were conducted in November 2022. EXPOSURE: Practice-level use of telemedicine during the first year of the COVID-19 pandemic. MAIN OUTCOMES AND MEASURES: The primary outcome was the total number of mental health visits (telemedicine plus in-person) per person. Secondary outcomes included the number of acute hospital and emergency department encounters, all-cause mortality, and quality outcomes, including adherence to antipsychotic and mood-stabilizing medications (as measured by the number of months of medication fills) and 7- and 30-day outpatient follow-up rates after discharge for a mental health hospitalization. RESULTS: The pandemic cohort included 120 050 Medicare beneficiaries (mean [SD] age, 56.5 [14.5] years; 66 638 females [55.5%]) with serious mental illness. Compared with prepandemic changes and relative to patients receiving care at practices with the lowest telemedicine use: patients receiving care at practices in the middle and highest telemedicine use groups had 1.11 (95% CI, 0.45-1.76) and 1.94 (95% CI, 1.28-2.59) more mental health visits per patient per year (or 7.5% [95% CI, 3.0%-11.9%] and 13.0% [95% CI, 8.6%-17.4%] more mental health visits per year, respectively). Among patients of practices with middle and highest telemedicine use, changes in adherence to antipsychotic and mood-stabilizing medications were -0.4% (95% CI, -1.3% to 0.5%) and -0.1% (95% CI, -1.0% to 0.8%), and hospital and emergency department use for any reason changed by 2.4% (95% CI, -1.5% to 6.2%) and 2.8% (95% CI, -1.2% to 6.8%), respectively. There were no significant differential changes in postdischarge follow-up or mortality rates according to the level of telemedicine use. CONCLUSIONS AND RELEVANCE: In this cohort study of Medicare beneficiaries with serious mental illness, patients receiving care from practices that had a higher level of telemedicine use during the COVID-19 pandemic had more mental health visits per year compared with prepandemic levels, with no differential changes in other observed quality metrics over the same period.

This study evaluates the user experience and usability of a web-based tool, AICP, that supports healthcare professionals in creating personalized care plans with the help of clinical decision support (CDS), using the System Usability Scale (SUS), User Experience Questionnaire (UEQ), and Single Ease Questions (SEQs). The results show high usability (SUS: 75.45) and positive user experience, particularly in stimulation and novelty. Following CDS recommendations in a structured way and displaying patients' care plan adherence in charts and tables were found effective. However, dynamic content changes and raw sensor data presentation were identified as areas for improvement. Combining data through reasoning or allowing users to make inferences could further improve usability, supporting better patient care coordination.