Outpatient care for opioid use disorder among the commercially insured: Use of medication and psychosocial treatment.


Journal

Journal of substance abuse treatment
ISSN: 1873-6483
Titre abrégé: J Subst Abuse Treat
Pays: United States
ID NLM: 8500909

Informations de publication

Date de publication:
08 2020
Historique:
received: 30 08 2019
revised: 07 05 2020
accepted: 19 05 2020
entrez: 1 7 2020
pubmed: 1 7 2020
medline: 29 7 2021
Statut: ppublish

Résumé

Evidence-based outpatient treatment for opioid use disorder (OUD) consists of medications that treat OUD (MOUD) and psychosocial treatments (e.g., psychotherapy or counseling, case management). Prior studies have not examined the use of these components of care in a commercially insured population. We analyzed claims data from a large national commercial insurer of enrollees age 17-64 identified with OUD (2008-2016, N = 87,877 persons and 122,708 person-years). Multinomial logistic regression models identified factors associated with receiving in a given year: 1) both MOUD and psychosocial visits, 2) MOUD without psychosocial visits, 3) psychosocial visits without MOUD, or 4) neither. We estimated predicted probabilities for key variables of interest. Identification of OUD nearly tripled during the observation period (0.17% in 2008, 0.45% in 2016). Among person-years identified as having OUD, 36.3% included MOUD (8.1% both MOUD and psychosocial visits and 28.2% MOUD without psychosocial visits). In adjusted analyses, women had a lower probability of receiving either treatment alone or in combination (e.g.,MOUD plus psychosocial visits: women = 6.7% [6.5%-6.9%] vs. men = 9.2% [9.0%-9.4%]). Moderate/severe vs. mild OUD was associated with a higher probability of receiving MOUD (e.g., MOUD plus psychosocial visits: 8.7% [8.6%-8.9%] vs. 0.9% [0.7%-1.0%]). In contrast, an OUD overdose was associated with a greater probability of receiving neither treatment (78.2% [77.4%-79.0%] vs. 55.5% [55.2%-55.8%]). Over time, the probability of receiving each MOUD and psychosocial treatment category increased relative to 2008, but reached a peak and then plateaued or declined, by the end of the study period. A significant treatment gap exists among individuals identified with OUD in this commercially insured population, with greater risks of receiving no treatment for women and for individuals with mild versus moderate or severe OUD. Overdose is associated with receiving neither MOUD nor psychosocial treatment. While treated prevalence initially increased relative to 2008, rates of treatment subsequently plateaued. Additional study and monitoring to elucidate barriers to OUD treatment in commercially insured populations are warranted.

Sections du résumé

BACKGROUND
Evidence-based outpatient treatment for opioid use disorder (OUD) consists of medications that treat OUD (MOUD) and psychosocial treatments (e.g., psychotherapy or counseling, case management). Prior studies have not examined the use of these components of care in a commercially insured population.
METHODS
We analyzed claims data from a large national commercial insurer of enrollees age 17-64 identified with OUD (2008-2016, N = 87,877 persons and 122,708 person-years). Multinomial logistic regression models identified factors associated with receiving in a given year: 1) both MOUD and psychosocial visits, 2) MOUD without psychosocial visits, 3) psychosocial visits without MOUD, or 4) neither. We estimated predicted probabilities for key variables of interest.
RESULTS
Identification of OUD nearly tripled during the observation period (0.17% in 2008, 0.45% in 2016). Among person-years identified as having OUD, 36.3% included MOUD (8.1% both MOUD and psychosocial visits and 28.2% MOUD without psychosocial visits). In adjusted analyses, women had a lower probability of receiving either treatment alone or in combination (e.g.,MOUD plus psychosocial visits: women = 6.7% [6.5%-6.9%] vs. men = 9.2% [9.0%-9.4%]). Moderate/severe vs. mild OUD was associated with a higher probability of receiving MOUD (e.g., MOUD plus psychosocial visits: 8.7% [8.6%-8.9%] vs. 0.9% [0.7%-1.0%]). In contrast, an OUD overdose was associated with a greater probability of receiving neither treatment (78.2% [77.4%-79.0%] vs. 55.5% [55.2%-55.8%]). Over time, the probability of receiving each MOUD and psychosocial treatment category increased relative to 2008, but reached a peak and then plateaued or declined, by the end of the study period.
CONCLUSIONS
A significant treatment gap exists among individuals identified with OUD in this commercially insured population, with greater risks of receiving no treatment for women and for individuals with mild versus moderate or severe OUD. Overdose is associated with receiving neither MOUD nor psychosocial treatment. While treated prevalence initially increased relative to 2008, rates of treatment subsequently plateaued. Additional study and monitoring to elucidate barriers to OUD treatment in commercially insured populations are warranted.

Identifiants

pubmed: 32600627
pii: S0740-5472(20)30296-8
doi: 10.1016/j.jsat.2020.108040
pmc: PMC7687676
mid: NIHMS1598002
pii:
doi:

Substances chimiques

Buprenorphine 40D3SCR4GZ

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

108040

Subventions

Organisme : NIDA NIH HHS
ID : P30 DA035772
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

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Auteurs

Alisa B Busch (AB)

Department of Health Care Policy, Harvard Medical School, Boston, MA, United States of America. Electronic address: abusch@mclean.harvard.edu.

Shelly F Greenfield (SF)

McLean Hospital, Belmont, MA, United States of America. Electronic address: sgreenfield@mclean.harvard.edu.

Sharon Reif (S)

Heller School for Social Policy and Management, Brandeis University, Waltham, MA, United States of America. Electronic address: reif@brandeis.edu.

Sharon-Lise T Normand (ST)

Department of Health Care Policy, Harvard Medical School, Boston, MA, United States of America. Electronic address: sharon@hcp.med.harvard.edu.

Haiden A Huskamp (HA)

Department of Health Care Policy, Harvard Medical School, Boston, MA, United States of America. Electronic address: huskamp@hcp.med.harvard.edu.

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Classifications MeSH