Literature DB >> 35315162

Population-level impact of initiating pharmacotherapy and linking to care people with opioid use disorder at inpatient medically managed withdrawal programs: an effectiveness and cost-effectiveness analysis.

Alexandra Savinkina1, Rajapaksha W M A Madushani1, Golnaz Eftekhari Yazdi1, Jianing Wang1, Joshua A Barocas1,2, Jake R Morgan3, Sabrina A Assoumou1,2, Alexander Y Walley4, Benjamin P Linas1,2, Sean M Murphy5.   

Abstract

BACKGROUND AND AIMS: Medications for opioid use disorder (MOUD) are shown to reduce opioid use and the risk of overdose. People with opioid use disorder (OUD) who exit inpatient medically managed withdrawal programs (detox) without initiating MOUD and linking to outpatient care have high rates of overdose. While detox encounters provide a theoretical opportunity for MOUD initiation, this is not ubiquitous in the United States. We used simulation modeling to estimate the population-level health effects and cost-effectiveness of a policy encouraging MOUD initiation during inpatient detox encounters. DESIGN, SETTING AND PARTICIPANTS: We employed a dynamic population state-transition model to evaluate the effectiveness and cost-effectiveness of using detox programs as venues for initiating MOUD in Massachusetts, United States. We compared standard of care, where no detox patients initiate MOUD or link to outpatient MOUD providers, to strategies of offering MOUD to detox patients and linking those patients to outpatient MOUD. MEASURES: Budgetary impact to the Massachusetts health-care sector, incremental cost-effectiveness ratios (ICER) and total counts and percentage differences of fatal overdoses prevented.
FINDINGS: Initiating MOUD in detox with perfect linkage to outpatient MOUD would reduce fatal overdoses by 4.5% [95% confidence interval (CI) = 2.3-5.9], at an ICER of $56 000 per quality-adjusted life-year (QALY) gained, compared with the standard of care. With moderate linkage, fatal overdoses would be reduced by 2.3% (95% CI= 1.2-3.1) with an ICER of $78 500 per QALY gained, compared with standard of care. Budgetary increase to Massachusetts health-care spending ranged from 0.5-1%.
CONCLUSION: A simulation model indicates that initiation of medications for opioid use disorder and linkage policies among detox patients in Massachusetts, USA could prevent fatal opioid overdoses in the opioid use disorder population and would be cost-effective from a health-care sector perspective.
© 2022 Society for the Study of Addiction.

Entities:  

Keywords:  Detox; MOUD; injection drug use; mortality; opioids; simulation modeling

Mesh:

Substances:

Year:  2022        PMID: 35315162      PMCID: PMC9377514          DOI: 10.1111/add.15879

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   7.256


  46 in total

1.  Release from prison--a high risk of death for former inmates.

Authors:  Ingrid A Binswanger; Marc F Stern; Richard A Deyo; Patrick J Heagerty; Allen Cheadle; Joann G Elmore; Thomas D Koepsell
Journal:  N Engl J Med       Date:  2007-01-11       Impact factor: 91.245

2.  Factors affecting detoxification readmission: analysis of public sector data from three states.

Authors:  Tami L Mark; Rita Vandivort-Warren; Leslie B Montejano
Journal:  J Subst Abuse Treat       Date:  2006-09-07

3.  The Role of Science in Addressing the Opioid Crisis.

Authors:  Nora D Volkow; Francis S Collins
Journal:  N Engl J Med       Date:  2017-05-31       Impact factor: 91.245

4.  County-level access to opioid use disorder medications in medicare Part D (2010-2015).

Authors:  Amanda J Abraham; Grace Bagwell Adams; Ashley C Bradford; William D Bradford
Journal:  Health Serv Res       Date:  2019-01-21       Impact factor: 3.402

Review 5.  Buprenorphine maintenance versus placebo or methadone maintenance for opioid dependence.

Authors:  Richard P Mattick; Courtney Breen; Jo Kimber; Marina Davoli
Journal:  Cochrane Database Syst Rev       Date:  2014-02-06

6.  NIDA Clinical Trials Network CTN-0051, Extended-Release Naltrexone vs. Buprenorphine for Opioid Treatment (X:BOT): Study design and rationale.

Authors:  Joshua D Lee; Edward V Nunes; Patricia Novo Mpa; Genie L Bailey; Gregory S Brigham; Allan J Cohen; Marc Fishman; Walter Ling; Robert Lindblad; Dikla Shmueli-Blumberg; Don Stablein; Jeanine May; Dagmar Salazar; David Liu; John Rotrosen
Journal:  Contemp Clin Trials       Date:  2016-08-10       Impact factor: 2.226

7.  Retention rate and substance use in methadone and buprenorphine maintenance therapy and predictors of outcome: results from a randomized study.

Authors:  Michael Soyka; Christina Zingg; Gabriele Koller; Heinrich Kuefner
Journal:  Int J Neuropsychopharmacol       Date:  2008-01-21       Impact factor: 5.176

8.  Ethical and clinical safety considerations in the design of an effectiveness trial: A comparison of buprenorphine versus naltrexone treatment for opioid dependence.

Authors:  Edward V Nunes; Joshua D Lee; Dominic Sisti; Andrea Segal; Arthur Caplan; Marc Fishman; Genie Bailey; Gregory Brigham; Patricia Novo; Sarah Farkas; John Rotrosen
Journal:  Contemp Clin Trials       Date:  2016-09-28       Impact factor: 2.226

9.  Patients' Beliefs About Medications are Associated with Stated Preference for Methadone, Buprenorphine, Naltrexone, or no Medication-Assisted Therapy Following Inpatient Opioid Detoxification.

Authors:  Lisa A Uebelacker; Genie Bailey; Debra Herman; Bradley Anderson; Michael Stein
Journal:  J Subst Abuse Treat       Date:  2016-03-09

10.  Comparison of Rates of Overdose and Hospitalization After Initiation of Medication for Opioid Use Disorder in the Inpatient vs Outpatient Setting.

Authors:  Jake R Morgan; Joshua A Barocas; Sean M Murphy; Rachel L Epstein; Michael D Stein; Bruce R Schackman; Alexander Y Walley; Benjamin P Linas
Journal:  JAMA Netw Open       Date:  2020-12-01
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