Predictability of buprenorphine-naloxone treatment retention: A multi-site analysis combining electronic health records and machine learning.

Journal: Addiction (Abingdon, England)
PMID: 38923168

Abstract

BACKGROUND AND AIMS: Opioid use disorder (OUD) and opioid dependence lead to significant morbidity and mortality, yet treatment retention, crucial for the effectiveness of medications like buprenorphine-naloxone, remains unpredictable. Our objective was to determine the predictability of 6-month retention in buprenorphine-naloxone treatment using electronic health record (EHR) data from diverse clinical settings and to identify key predictors.

Authors

  • Fateme Nateghi Haredasht
    Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California, USA.
  • Sajjad Fouladvand
    Department of Computer Science, Institute for Biomedical Informatics, University of Kentucky, Lexington, KY, USA.
  • Steven Tate
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.
  • Min Min Chan
    Holmusk Technologies, Inc., Singapore, Singapore.
  • Joannas Jie Lin Yeow
    Group Medical Informatics Office, National University Health System, Singapore, Singapore.
  • Kira Griffiths
    Holmusk Technologies, Inc., Singapore, Singapore.
  • Ivan Lopez
    Stanford University School of Medicine, Stanford, CA, United States.
  • Jeremiah W Bertz
    Center for the Clinical Trials Network, National Institute on Drug Abuse, North Bethesda, Maryland, USA.
  • Adam S Miner
    Clinical Excellence Research Center, Stanford University, Stanford, California.
  • Tina Hernandez-Boussard
    Stanford Center for Biomedical Informatics Research, Stanford, California 94305, USA.
  • Chwen-Yuen Angie Chen
    Division of Primary Care and Population Health, Department of Medicine Stanford University School of Medicine, Stanford, California, USA.
  • Huiqiong Deng
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.
  • Keith Humphreys
    Department of Psychiatry, Stanford University, Stanford, California, United States of America.
  • Anna Lembke
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.
  • L Alexander Vance
    Holmusk Technologies, Inc., Singapore, Singapore.
  • Jonathan H Chen
    Stanford Center for Biomedical Informatics Research, Stanford, CA.

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