Literature DB >> 18222051

Opioid use disorder in the United States: insurance status and treatment access.

William C Becker1, David A Fiellin, Joseph O Merrill, Beryl Schulman, Ruth Finkelstein, Yngvild Olsen, Susan H Busch.   

Abstract

BACKGROUND: In the United States, insurance status and rates of treatment for individuals with opioid use disorder are unknown.
METHODS: Cross-sectional survey: 2002-2004 National Survey on Drug Use and Health (NSDUH). Bivariate and multivariate associations between demographics, treatment and insurance status and presence or absence of opioid use disorder were investigated.
RESULTS: On unadjusted analysis, young respondents, respondents of Hispanic ethnicity (OR 1.5; 95% CI 1.1-2.2), unemployed respondents (OR 2.6; 95% CI 1.8-3.8) and respondents with Medicaid (OR 4.5; 95% CI 2.5-8.3) or lack of insurance (OR 3.2; 95% CI 1.8-5.9) were more likely to have opioid use disorder. On unadjusted analysis among those with any substance use disorder, 12-16 year olds were more likely to have opioid use disorder (OR 3.4; 95% CI 2.0-5.8) than a non-opioid substance use disorder, as were women (OR for men 0.6; 95% CI 0.5-0.7) and unemployed respondents (OR 1.5; 95% CI 1.02-2.1). Only 15.2% of those with past-year opioid use disorder received treatment in the past year. Respondents treated for opioid use had higher rates of Medicaid (p<0.01), Medicare (p<0.01) and other public assistance (p=0.01) compared with those treated for other substances. Treatments for opioid use were more likely to be hospital (p=0.04) and inpatient rehabilitation (p=0.02) settings compared to treatment for other substance use. Among those with opioid use disorder, not being employed was independently associated with receiving treatment (AOR 3.5; 95% CI 1.4-8.5).
CONCLUSIONS: In the U.S., high rates of unemployment, Medicaid and uninsurance among those with opioid use disorder and low rates of treatment suggest that efforts to expand treatment must include policy strategies to help reach a population with significant barriers to treatment access.

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Mesh:

Year:  2008        PMID: 18222051     DOI: 10.1016/j.drugalcdep.2007.11.018

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  30 in total

1.  Birth-cohort trends in lifetime and past-year prescription opioid-use disorder resulting from nonmedical use: results from two national surveys.

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3.  State variations in Medicaid enrollment and utilization of substance use services: Results from a National Longitudinal Study.

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4.  Practice Guidance for Buprenorphine for the Treatment of Opioid Use Disorders: Results of an Expert Panel Process.

Authors:  Carrie M Farmer; Dawn Lindsay; Jessica Williams; Amanda Ayers; James Schuster; Alyssa Cilia; Michael T Flaherty; Todd Mandell; Adam J Gordon; Bradley D Stein
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Authors:  Shannon R Kenney; Genie L Bailey; Bradley J Anderson; Michael D Stein
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6.  Reducing Opioid Misuse: Evaluation of a Medicaid Controlled Substance Lock-In Program.

Authors:  Asheley Cockrell Skinner; Chris Ringwalt; Rebecca B Naumann; Andrew W Roberts; Leslie A Moss; Nidhi Sachdeva; Mark A Weaver; Joel Farley
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7.  Medical use, non-medical use and use disorders of benzodiazepines and prescription opioids in adults: Differences by insurance status.

Authors:  Vítor Soares Tardelli; Thiago Marques Fidalgo; Julian Santaella; Silvia S Martins
Journal:  Drug Alcohol Depend       Date:  2019-09-21       Impact factor: 4.492

8.  The relationship between treatment accessibility and preference amongst out-of-treatment individuals who engage in non-medical prescription opioid use.

Authors:  Andrew S Huhn; D Andrew Tompkins; Kelly E Dunn
Journal:  Drug Alcohol Depend       Date:  2017-09-09       Impact factor: 4.492

9.  Effect of incarceration history on outcomes of primary care office-based buprenorphine/naloxone.

Authors:  Emily A Wang; Brent A Moore; Lynn E Sullivan; David A Fiellin
Journal:  J Gen Intern Med       Date:  2010-03-06       Impact factor: 5.128

10.  Correlates of extramedical use of OxyContin versus other analgesic opioids among the US general population.

Authors:  Silvia S Martins; Carla L Storr; Hong Zhu; Howard D Chilcoat
Journal:  Drug Alcohol Depend       Date:  2008-08-15       Impact factor: 4.492

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