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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.
Gunstad, John; Disabato, David; Shrestha, Roman; Sanborn, Victoria; Mistler, Colleen B; Copenhaver, Michael M.
Affiliation
  • Gunstad J; Department of Psychological Sciences, Kent State University, Kent, OH, USA.
  • Disabato D; Department of Psychological Sciences, Kent State University, Kent, OH, USA.
  • Shrestha R; Department of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
  • Sanborn V; Department of Psychological Sciences, Kent State University, Kent, OH, USA.
  • Mistler CB; Department of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
  • Copenhaver MM; Department of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
J Addict Dis ; 41(2): 120-127, 2023.
Article in En | MEDLINE | ID: mdl-35615880
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Buprenorphine / Cognitive Dysfunction / Opioid-Related Disorders Limits: Humans Language: En Journal: J Addict Dis Journal subject: TRANSTORNOS RELACIONADOS COM SUBSTANCIAS Year: 2023 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Buprenorphine / Cognitive Dysfunction / Opioid-Related Disorders Limits: Humans Language: En Journal: J Addict Dis Journal subject: TRANSTORNOS RELACIONADOS COM SUBSTANCIAS Year: 2023 Document type: Article Affiliation country: Estados Unidos