Latent profile analysis of data from the brief inventory of neurocognitive impairment (BINI) to develop neuro-cognitive profiles among opioid-dependent patients in drug treatment

Abstract

Background Neurocognitive dysfunction is common among individuals with opioid use disorders (OUD) and can impede a range of treatment outcomes. We developed the 57-item Brief Inventory of Neuro-cognitive Impairment (BINI) to help detect and monitor neurocognitive dysfunction in the context of drug treatment settings. To date, no study has examined the possible presence of BINI subgroups among OUD patients, which could enhance our ability to tailor intervention strategies to meet individual treatment needs. The purpose of this study was to conduct a latent profile analysis to identify BINI subgroups that differ in terms of their reported and objective neurocognitive dysfunction. We hypothesized that subgroups would emerge, suggesting the potential benefit of implementing tailored strategies for optimal treatment outcomes. Methods Latent profile analyses included data from opioid-dependent patients (N = 177) enrolled in a methadone maintenance treatment program between July 2018 and October 2019. Results We found three profiles of self-reported neurocognitive symptoms, including those with 1) minimal concerns 2) moderate concerns, and 3) many concerns across multiple domains. Conclusions If these results are confirmed, the BINI may be used to rapidly identify persons who require specific accommodation strategies to improve their drug treatment outcomes.