Development and validation of machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans treated with buprenorphine for opioid use disorder-Reference-Cited by-同舟云学术

Development and validation of machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans treated with buprenorphine for opioid use disorder

Published:2024-06-30 Issue: Volume: Page:1-18
ISSN:1055-0887
Container-title:Journal of Addictive Diseases
language:en
Short-container-title:Journal of Addictive Diseases

Author:

J. Hayes Corey¹²³^ORCID,Bin Noor Nahiyan²,Raciborski Rebecca A.³⁴⁵^ORCID,C. Martin Bradley⁶,J. Gordon Adam⁷⁸^ORCID,J. Hoggatt Katherine⁹¹⁰,Hudson Teresa³¹¹¹²,A. Cucciare Michael³¹¹¹³

Affiliation:

1. Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA

2. Institute for Digital Health and Innovation, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA

3. Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA

4. Behavioral Health Quality Enhancement Research Initiative, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA

5. Evidence, Policy, and Implementation Center, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA

6. Division of Pharmaceutical Evaluation and Policy, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, AR, USA

7. Program for Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA

8. Informatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center, VA Salt Lake City Healthcare System, Salt Lake City, UT, USA

9. San Francisco VA Medical Center, San Francisco, CA, USA

10. Department of Medicine, University of California, San Francisco, San Francisco, CA, USA

11. Center for Health Services Research, Department of Psychiatry, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA

12. Department of Emergency Medicine, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA

13. Veterans Affairs South Central Mental Illness Research, Education and Clinical Center, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA

Funder

VA Health Services Research & Development Career Development Award-2

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10550887.2024.2363035

Reference81 articles.

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2. Drug Overdose Deaths in the United States, 1999–2020

3. Vital Signs: Characteristics of Drug Overdose Deaths Involving Opioids and Stimulants — 24 States and the District of Columbia, January–June 2019

4. Drug Overdose Deaths | Drug Overdose | CDC Injury Center [Accessed 2023 Sep 7]. https://www.cdc.gov/drugoverdose/deaths/index.html.

5. JEC Analysis Finds Opioid Epidemic Cost U.S. Nearly $1.5 Trillion in 2020 - JEC Analysis Finds Opioid Epidemic Cost U.S. Nearly $1.5 Trillion in 2020 - United States Joint Economic Committee [Accessed 2023 Sep 7]. https://www.jec.senate.gov/public/index.cfm/democrats/2022/9/jec-analysis-finds-opioid-epidemic-cost-u-s-nearly-1-5-trillion-in-2020.