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      Treatment Outcome Comparison Between Telepsychiatry and Face-to-face Buprenorphine Medication-assisted Treatment for Opioid Use Disorder : A 2-Year Retrospective Data Analysis

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          Abstract

          To retrospectively review clinic records to assess the difference between face-to-face and telepsychiatry buprenorphine medication-assisted treatment (MAT) programs for the treatment of opioid use disorder on 3 outcomes: additional substance use, average time to achieve 30 and 90 consecutive days of abstinence, and treatment retention rates at 90 and 365 days.

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          Most cited references14

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          The effectiveness of telemental health: a 2013 review.

          The effectiveness of any new technology is typically measured in order to determine whether it successfully achieves equal or superior objectives over what is currently offered. Research in telemental health-in this article mainly referring to telepsychiatry and psychological services-has advanced rapidly since 2003, and a new effectiveness review is needed. The authors reviewed the published literature to synthesize information on what is and what is not effective related to telemental health. Terms for the search included, but were not limited to, telepsychiatry, effectiveness, mental health, e-health, videoconferencing, telemedicine, cost, access, and international. Telemental health is effective for diagnosis and assessment across many populations (adult, child, geriatric, and ethnic) and for disorders in many settings (emergency, home health) and appears to be comparable to in-person care. In addition, this review has identified new models of care (i.e., collaborative care, asynchronous, mobile) with equally positive outcomes. Telemental health is effective and increases access to care. Future directions suggest the need for more research on service models, specific disorders, the issues relevant to culture and language, and cost.
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            Retention in medication-assisted treatment for opiate dependence: A systematic review.

            Retention in medication-assisted treatment among opiate-dependent patients is associated with better outcomes. This systematic review (55 articles, 2010-2014) found wide variability in retention rates (i.e., 19%-94% at 3-month, 46%-92% at 4-month, 3%-88% at 6-month, and 37%-91% at 12-month follow-ups in randomized controlled trials), and identified medication and behavioral therapy factors associated with retention. As expected, patients who received naltrexone or buprenorphine had better retention rates than patients who received a placebo or no medication. Consistent with prior research, methadone was associated with better retention than buprenorphine/naloxone. And, heroin-assisted treatment was associated with better retention than methadone among treatment-refractory patients. Only a single study examined retention in medication-assisted treatment for longer than 1 year, and studies of behavioral therapies may have lacked statistical power; thus, studies with longer-term follow-ups and larger samples are needed. Contingency management showed promise to increase retention, but other behavioral therapies to increase retention, such as supervision of medication consumption, or additional counseling, education, or support, failed to find differences between intervention and control conditions. Promising behavioral therapies to increase retention have yet to be identified.
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              Treatment retention among patients randomized to buprenorphine/naloxone compared to methadone in a multi-site trial.

              To examine patient and medication characteristics associated with retention and continued illicit opioid use in methadone (MET) versus buprenorphine/naloxone (BUP) treatment for opioid dependence. This secondary analysis included 1267 opioid-dependent individuals participating in nine opioid treatment programs between 2006 and 2009 and randomized to receive open-label BUP or MET for 24 weeks. The analyses included measures of patient characteristics at baseline (demographics; use of alcohol, cigarettes and illicit drugs; self-rated mental and physical health), medication dose and urine drug screens during treatment, and treatment completion and days in treatment during the 24-week trial. The treatment completion rate was 74% for MET versus 46% for BUP (P < 0.01); the rate among MET participants increased to 80% when the maximum MET dose reached or exceeded 60 mg/day. With BUP, the completion rate increased linearly with higher doses, reaching 60% with doses of 30-32 mg/day. Of those remaining in treatment, positive opioid urine results were significantly lower [odds ratio (OR) = 0.63, 95% confidence interval (CI) = 0.52-0.76, P < 0.01] among BUP relative to MET participants during the first 9 weeks of treatment. Higher medication dose was related to lower opiate use, more so among BUP patients. A Cox proportional hazards model revealed factors associated with dropout: (i) BUP [versus MET, hazard ratio (HR) = 1.61, CI = 1.20-2.15], (ii) lower medication dose (<16 mg for BUP, <60 mg for MET; HR = 3.09, CI = 2.19-4.37), (iii) the interaction of dose and treatment condition (those with higher BUP dose were 1.04 times more likely to drop out than those with lower MET dose, and (iv) being younger, Hispanic and using heroin or other substances during treatment. Provision of methadone appears to be associated with better retention in treatment for opioid dependence than buprenorphine, as does use of provision of higher doses of both medications. Provision of buprenorphine is associated with lower continued use of illicit opioids. © 2013 Society for the Study of Addiction.
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                Author and article information

                Journal
                Journal of Addiction Medicine
                Journal of Addiction Medicine
                Ovid Technologies (Wolters Kluwer Health)
                1932-0620
                2017
                2017
                : 11
                : 2
                : 138-144
                Article
                10.1097/ADM.0000000000000287
                5354971
                28107210
                4491d962-a648-4d43-9d73-9d7f25b50183
                © 2017
                History

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