Voting with their feet: Social factors linked with treatment for opioid use disorder using same-day buprenorphine delivered in California hospitals.

Abstract

BACKGROUND\nMedication for opioid use disorder (MOUD) using buprenorphine in primary or specialty care settings is accessed primarily by persons with private health insurance, stable housing, and no polysubstance use. This paper applies Social Cognitive Theory to frame links between social factors and treatment outcomes among patients with social and economic disadvantages who are seeking MOUD at California Bridge Program (CA Bridge) hospitals.\n\n\nMETHODS\nElectronic medical records for patients identified with OUD between January-April, 2020 receiving care at CA Bridge hospitals defined outcomes: hospital-administered buprenorphine; provision of buprenorphine prescription at discharge. Multi-level models assessed whether social factors-housing status, insurance type, and co-methamphetamine use-predicted outcomes while accounting for group-level effects of treating hospital and controlling for age, race/ethnicity, and gender.\n\n\nRESULTS\n15 CA Bridge hospitals yielded 845 patient records. Most patients received hospital-administered buprenorphine (58 %) and/or a buprenorphine prescription (55 %); 26 % received neither treatment. Patients with unstable housing had greater odds of hospital-administered buprenorphine compared to patients with stable housing. Patients with Medicaid had greater odds of receiving a buprenorphine prescription compared to patients with other insurance. Co-methamphetamine use was not associated with outcomes.\n\n\nCONCLUSIONS\nPatients with OUD are successful in accessing same-day MOUD in CA Bridge hospital settings over a significant period. Importantly, access to MOUD in these settings was facilitated for patients traditionally not treated using buprenorphine, i.e., those with housing instability, Medicaid insurance, and co-methamphetamine use. Findings suggest barriers to MOUD for patients with social and economic disadvantages can be lowered by changing treatment delivery.