Opioid dependence (OD), often characterized as a chronic relapsing disorder, affects millions of people worldwide. The purpose of this study was to examine the effect of compliance with buprenorphine on reducing relapse among a sample of patients in treatment for OD. Patients new to buprenorphine (N = 703) completed the Addiction Severity Index (ASI) at baseline, and at 1, 2, and 3 months postbaseline. The ASI is a semistructured interview designed to measure problem severity in seven functional areas known to be affected by alcohol and drug dependence. Compliance was defined as taking buprenorphine medication on at least 22 of the past 28 days (80%), while relapse classification was based on resumed use of opioids during the follow-up period (months 2 and 3). Relapse was regressed onto demographic indicators, baseline ASI composite scores, and compliance with buprenorphine. Noncompliant patients were over 10 times more likely to relapse than those who were compliant (exp β= 10.55; p < .001). Neither demographics nor baseline ASI composite scores were predictive of relapse (p's > .05). Compliance with medication-assisted treatment supports abstinence, essential for patient recovery. Understanding the factors that drive treatment compliance and noncompliance may assist providers in supporting patient compliance and recovery.

No abstract

BackGrOunD: In response to the growing incidence of opioid dependence, guidelines have been created, and new treatments are being developed to assist physicians in treating dependence and withdrawal of opioids.

Introduction: Buprenorphine medication assisted treatment (B-MAT) adherence for opioid use disorder (OUD) is suboptimal. reSET-O, an FDA-cleared prescription digital therapeutic, delivers neurobehavioral therapy (community-reinforcement approach+fluency training+contingency management) to B-MATtreated OUD patients. Methods: This retrospective claims study (10/01/2018-10/31/2019) evaluated healthcare resource utilization up to 6 months before/after reSET-O initiation. Repeated-measures negative binomial models compared incidences of encounters/procedures. Net change in costs was assessed. Results: Among 351 patients (mean age 37; 59.5% female; 82.6% Medicaid), 334 had pharmacy claims and 240 (71.9%) received buprenorphine pre-/post-index (medication possession ratio 0.73 and 0.82, respectively; P = 0.004). Facility encounters decreased, with 45 fewer inpatient (P = 0.024) and 27 fewer emergency department (ED) visits (P = 0.247). Clinical encounters with largest changes were drug testing (638 fewer; P < 0.001), psychiatry (349 fewer; P = 0.036), case management (176 additional; P = 0.588), other pathology/laboratory (166 fewer; P = 0.039), office/other outpatient (154 fewer; P = 0.302), behavioral rehabilitation (111 additional; P = 0.124), alcohol/substance rehabilitation (96 fewer; P = 0.348), other rehabilitation (66 fewer; P = 0.387), mental health rehabilitation (61 additional; P = 0.097), and surgery (60 fewer; P = 0.070). Changes in facility/clinical encounters saved $2,150/ patient. Conclusion: reSET-O initiation was associated with fewer inpatient, ED, and other clinical encounters, increased case management/rehabilitative services, and lower net costs over six months. Expert Opinion: Real-world evidence is helpful in evaluating the effectiveness of interventions in usualcare conditions, outside of controlled research environments. Large observational studies based on health care claims are important to understand the actual pharmacoeconomic and outcomes impact of interventions at the health care system and population level.

A number of statistically significant medication adherence differences were observed among golimumab, adalimumab, and etanercept patients in treatment for RA. Overall, golimumab patients appeared to be the most adherent group. Findings may be partially attributable to golimumab patients' likely increased disease severity, their prior experience with biologic medication, or golimumab's once-monthly dosing schedule, which requires fewer administrations than both adalimumab and etanercept.