Despite evidence that medications for patients with opioid use disorder (OUD) reduce mortality and improve engagement in outpatient addiction treatment, these life-saving medications are underutilized in the hospital setting. This study reports the outcomes of the B-Team (Buprenorphine-Team), a hospitalist-led interprofessional program created to identify hospitalized patients with OUD, initiate buprenorphine in the inpatient setting, and provide bridge prescription and access to outpatient treatment programs. During the first 2 years of the program, the B-Team administered buprenorphine therapy to 132 patients in the inpatient setting; 110 (83%) of these patients were bridged to an outpatient program. Of these patients, 65 patients (59%) were seen at their first outpatient appointment; 42 (38%) attended at least one subsequent appointment 1 to 3 months after discharge from the hospital; 29 (26%) attended at least one subsequent appointment between 3 and 6 months after discharge; and 24 (22%) attended at least one subsequent appointment after 6 months. This model is potentially replicable at other hospitals because it does not require dedicated addiction medicine expertise.
Background: Homelessness is an important social determinant of health (SDOH), impacting health outcomes for many medical conditions. Although homelessness is common among people with opioid use disorder (OUD), few studies systematically evaluate homelessness and other SDOH among people enrolled in standard of care treatment for OUD, medication for opioid use disorder (MOUD), or examine whether homelessness affects treatment engagement. Methods: Using data from the 2016 to 2018 U.S. Treatment Episode Dataset Discharges (TEDS-D), patient demographic, social, and clinical characteristics were compared between episodes of outpatient MOUD where homelessness was reported at treatment enrollment versus independent housing using pairwise tests adjusted for multiple testing. A logistic regression model examined the relationship between homelessness and treatment length and treatment completion while accounting for covariates. Results: There were 188 238 eligible treatment episodes. Homelessness was reported in 17 158 episodes (8.7%). In pairwise analysis, episodes involving homelessness were significantly different from those involving independent living on most demographic, social, and clinical characteristics, with significantly greater social vulnerability in most SDOH variables ( P’s < .05). Homelessness was significantly and negatively associated with treatment completion (coefficient = −0.0853, P < 0.001, 95% CI = [−0.114, −0.056], OR = 0.918) and remaining in treatment for greater than 180 days (coefficient = −0.3435, P < 0.001, 95% CI = [−0.371, −0.316], OR = 0.709) after accounting for covariates. Conclusions: Patients reporting homelessness at treatment entry in outpatient MOUD in the U.S. represent a clinically distinct and socially vulnerable population from those not reporting homelessness. Homelessness independently predicts poorer engagement in MOUD confirming that homelessness may be an independent predictor for MOUD treatment discontinuation nationally.
The experiences of care of people with lived experience of homelessness are rarely embraced to change care delivery. We conducted qualitative group and one-on-one interviews utilizing experience group methodology with 27 people with lived experience of homelessness currently housed in one permanent housing community in central Texas. We analyzed data using an inductive thematic approach to identify shared obstacles and barriers to receiving health care. We then analyzed findings with the capability, comfort, and calm value framework to identify health outcomes that matter most to study participants. Poor access to care, discontinuities in care, distrust in providers, and confusing terminology were identified as the biggest barriers to health. The overwhelming majority of experiences reflected poor health outcomes of calm, the outcome of a health care experience that adds ease to one’s life rather than logistical and administrative chaos. We propose three practical approaches to achieve calm for this population as follows: systems-level embracement of compassionate care, integration of relationship-based care navigation into all levels of care, and building efficient transportation into care design. We conclude that designing health care that works in the lives of people with lived experience of homelessness is critical to address the gaps in care that fuel the health disparity these individuals face compared to people without this lived experience.
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