Department of Psychological Sciences, Kent State University, Kent, OH, USA.
Department of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
J Addict Dis. 2023 Apr-Jun;41(2):120-127. doi: 10.1080/10550887.2022.2080626. Epub 2022 May 26.
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.
Latent profile analyses included data from opioid-dependent patients (N = 177) enrolled in a methadone maintenance treatment program between July 2018 and October 2019.
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.
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.
神经认知功能障碍在阿片类药物使用障碍（OUD）患者中很常见，会影响一系列治疗结果。我们开发了 57 项简短的神经认知障碍量表（BINI），以帮助在药物治疗环境中检测和监测神经认知功能障碍。迄今为止，尚无研究检查 OUD 患者中 BINI 亚组的可能存在情况，这可能会增强我们根据个体治疗需求定制干预策略的能力。本研究的目的是进行潜在剖面分析，以确定在报告和客观神经认知功能障碍方面存在差异的 BINI 亚组。我们假设会出现亚组，这表明实施量身定制的策略以获得最佳治疗结果可能具有潜在的益处。
潜在剖面分析包括 2018 年 7 月至 2019 年 10 月期间参加美沙酮维持治疗计划的阿片类药物依赖患者（N=177）的数据。
我们发现了三种自我报告的神经认知症状模式，包括 1）仅有轻微问题、2）有中度问题和 3）多个领域存在许多问题的人群。
如果这些结果得到证实，BINI 可用于快速识别需要特定适应策略以改善药物治疗结果的人。
