"Come try it out. Get your foot in the door:" Exploring patient perspectives on low-barrier treatment for opioid use disorder.

PURPOSE: Low-barrier treatment is an emerging strategy for opioid use disorder (OUD) care that prioritizes access to evidence-based medication while minimizing requirements that may limit treatment access in more traditional delivery models, particularly for marginalized patients. Our objective was to explore patient perspectives about low-barrier approaches, with a focus on understanding barriers to and facilitators of engagement from the patient point of view. METHODS: We conducted semi-structured interviews with patients accessing buprenorphine treatment from a multi-site, low-barrier mobile treatment program in Philadelphia, PA from July-December 2021. We analyzed interview data using thematic content analysis and identified key themes. RESULTS: The 36 participants were 58% male, 64% Black, 28% White, and 31% Latinx. 89% were enrolled in Medicaid, and 47% were unstably housed. Our analysis revealed three main facilitators of treatment in the low-barrier model. These included 1) program structure that met participant needs, such as flexibility, rapid medication access and robust case management services; 2) harm reduction approach that included acceptance of patient goals other than abstinence and provision of harm reduction services on-site; and 3) strong interpersonal connections with team members, including those with lived experience. Participants contrasted these experiences with other care they had received in the past. Barriers related to lack of structure, limitations of street-based care, and limited support for co-occurring needs, particularly mental health. CONCLUSIONS: This study provides key patient perspectives on low-barrier approaches for OUD treatment. Our findings can inform future program design to increase treatment access and engagement for individuals poorly served by traditional delivery models.

Left ventricular segmental strain and the prediction of cancer therapy-related cardiac dysfunction.

AIMS: We aimed to determine the early changes and predictive value of left ventricular (LV) segmental strain measures in women with breast cancer receiving doxorubicin. METHODS AND RESULTS: In a cohort of 237 women with breast cancer receiving doxorubicin with or without trastuzumab, 1151 echocardiograms were prospectively acquired over a median (Q1-Q3) of 7 (2-24) months. LV ejection fraction (LVEF) and 36 segmental strain measures were core lab quantified. A supervised machine learning (ML) model was then developed using random forest regression to identify segmental strain measures predictive of nadir LVEF post-doxorubicin completion. Cancer therapy-related cardiac dysfunction (CTRCD) was defined as a ≥10% absolute LVEF decline pre-treatment to a value <50%. Median (Q1-Q3) baseline age was 48 (41-57) years. Thirty-five women developed CTRCD, and eight of these developed symptomatic heart failure. From pre-treatment to doxorubicin completion, longitudinal strain worsened across the basal and mid-LV segments but not in the apical segments; circumferential strain worsened primarily in the septum; radial strain worsened uniformly and transverse strain remained unchanged across all LV segments. In the ML model, anterolateral and inferoseptal circumferential strain were the most predictive features; longitudinal and transverse strain in the basal inferoseptal, anterior, basal anterolateral, and apical lateral segments were also top predictive features. The addition of predictive segmental strain measures to a model including age, cancer therapy regimen, hypertension, and LVEF increased the area under the curve (AUC) from 0.70 (95% confidence interval (CI) 0.60-0.80) to 0.87 (95% CI 0.81-0.92), ΔAUC = 0.18 (95% CI 0.08-0.27) for the prediction of CTRCD. CONCLUSION: Our findings suggest that segmental strain measures can enhance cardiotoxicity risk prediction in women with breast cancer receiving doxorubicin.