Cluster analysis to identify patient profiles and substance use patterns among pregnant persons with opioid use disorder

Autor: Elizabeth Charron, Ziji Yu, Brad Lundahl, John Silipigni, Akiko Okifuji, Adam J. Gordon, Jacob D. Baylis, Ashley White, Kristi Carlston, Walitta Abdullah, Benjamin Haaland, Elizabeth E. Krans, Marcela C. Smid, Gerald Cochran
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Addictive Behaviors Reports, Vol 17, Iss , Pp 100484- (2023)
Druh dokumentu: article
ISSN: 2352-8532
DOI: 10.1016/j.abrep.2023.100484
Popis: The study objective was to identify distinct profiles of pregnant persons with opioid use disorder (PP-OUD) using cluster analysis and examine difference in substance use patterns between profiles. We examined data from 104 PP-OUD ≤ 32 weeks of gestation who were recruited into a behavioral health clinical trial at two academic medical centers. We used Partitioning Around Medoids analysis to identify clusters and explored patterns of substance use and substance use treatment between clusters using bivariate statistical tests and regression methods. We identified two distinct clusters of participants, including ‘Group A’ (n = 68; 65.4 %) and ‘Group B’ (n = 36; 34.6 %). Group A had fewer members who were not employed (38 % vs 58 %) and incarcerated (3 % vs 8 %) compared to Group B. Group A compared with Group B included more members with: a history of overdose (72 % vs 50 %); anxiety (85 % vs 25 %); ≥moderate pain (76 % vs 22 %); ≥moderate depression (75 % vs 36 %); ≥moderate drug use severity (94 % vs 78 %); and, more days of cannabis (mean: 6.2 vs 2.3 days), stimulant (mean: 4.5 vs 1.3 days), and injection heroin (mean: 1.3 vs 0 days) use in the past 30 days (P
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