Multiple family group intervention for spinal cord injury: Quantitative and qualitative comparison with standard education.

Objective: To evaluate a Multiple Family Group (MFG) education and support intervention for individuals with Spinal Cord Injury (SCI) and their primary caregivers. We hypothesized that MFG would be superior to an Education Control Group (EC) for improving patient activation and coping skills, social supports, and relationship functioning. Setting: A large free-standing inpatient and outpatient rehabilitation facility. Participants: Community dwelling adults with SCI and their caregivers living in the Northwest United States. Interventions/Methods: Nineteen individuals with SCI who had been discharged from inpatient rehabilitation within the previous three years, and their primary caregivers participated. Patient/caregiver pairs were randomized to the MFG intervention or an active SCI EC condition in a two-armed clinical trial design. Participants were assessed pre- and post-program and 6 months post-program. Qualitative and quantitative outcomes were evaluated. Focus groups were conducted with each group to determine benefits and recommendations for improvement. Results: Relative to EC, MFG reduced passive coping and increased subjective and overall social support in participants with SCI. Relative to EC, MFG also reduced passive coping in caregivers. Patient activation relative to EC was non-significantly increased. Content analysis identified four themes describing participants’ experiences: enhanced sense of belonging, increased opportunities for engagement, knowledge, and team work; results that were generally congruent with quantitative measures of improved social support. Conclusions: Relative to EC, MFG assisted participants with SCI and their caregivers to manage the difficult, long-term, life adjustments by improving coping and strengthening social support. Trial registration: ClinicalTrials.gov NCT02161913. Registered 10 June 2014

Predictors of cannabis and tobacco co-use in youth Exploring the mediating role of age at first use in the population assessment of tobacco health (PATH) study

Background: Adolescents often use substances such as tobacco and cannabis. Co-use of these substances can lead to physical, mental, and psychosocial difficulties beyond that which would be anticipated by simple additivity of their individual effects.Conclusions: Based on the findings, programs or interventions targeting youth factors of internalizing, externalizing, and sensation seeking as well as interventions aiming to stave off AU should promote decreased tobacco and cannabis co-use. Sensation seeking and AU appear to be the most influential factors and should be considered when developing and promoting prevention policies/programs for higher risk youth populations

Changes in pain intensity after discontinuation of long-term opioid therapy for chronic noncancer pain.

Little is known about changes in pain intensity that may occur after discontinuation of long-term opioid therapy (LTOT). The objective of this study was to characterize pain intensity after opioid discontinuation over 12 months. This retrospective U.S. Department of Veterans Affairs (VA) administrative data study identified N = 551 patients nationally who discontinued LTOT. Data over 24 months (12 months before and after discontinuation) were abstracted from VA administrative records. Random-effects regression analyses examined changes in 0 to 10 pain numeric rating scale scores over time, whereas growth mixture models delineated pain trajectory subgroups. Mean estimated pain at the time of opioid discontinuation was 4.9. Changes in pain after discontinuation were characterized by slight but statistically nonsignificant declines in pain intensity over 12 months after discontinuation (B = -0.20, P = 0.14). Follow-up growth mixture models identified 4 pain trajectory classes characterized by the following postdiscontinuation pain levels: no pain (average pain at discontinuation = 0.37), mild clinically significant pain (average pain = 3.90), moderate clinically significant pain (average pain = 6.33), and severe clinically significant pain (average pain = 8.23). Similar to the overall sample, pain trajectories in each of the 4 classes were characterized by slight reductions in pain over time, with patients in the mild and moderate pain trajectory categories experiencing the greatest pain reductions after discontinuation (B = -0.11, P = 0.05 and B = -0.11, P = 0.04, respectively). Pain intensity after discontinuation of LTOT does not, on average, worsen for patients and may slightly improve, particularly for patients with mild-to-moderate pain at the time of discontinuation. Clinicians should consider these findings when discussing risks of opioid therapy and potential benefits of opioid taper with patients

A review of contingency management for the treatment of substance-use disorders: adaptation for underserved populations, use of experimental technologies, and personalized optimization strategies

This review of contingency management (CM; the behavior-modification method of providing reinforcement in exchange for objective evidence of a desired behavior) for the treatment of substance-use disorders (SUDs) begins by describing the origins of CM and how it has come to be most commonly used during the treatment of SUDs. Our core objective is to review, describe, and discuss three ongoing critical advancements in CM. We review key emerging areas wherein CM will likely have an impact. In total, we qualitatively reviewed 31 studies in a systematic fashion after searching PubMed and Google Scholar. We then describe and highlight CM investigations across three broad themes: adapting CM for underserved populations, CM with experimental technologies, and optimizing CM for personalized interventions. Technological innovations that allow for mobile delivery of reinforcers in exchange for objective evidence of a desired behavior will likely expand the possible applications of CM throughout the SUD-treatment domain and into therapeutically related areas (eg, serious mental illness). When this mobile technology is coupled with new, easy-to-utilize biomarkers, the adaptation for individual goal setting and delivery of CM-based SUD treatment in hard-to-reach places (eg, rural locations) can have a sustained impact on communities most affected by these disorders. In conclusion, there is still much to be done, not only technologically but also in convincing policy makers to adopt this well-established, cost-effective, and evidence-based method of behavior modification

Predictors of tobacco and alcohol co-use from ages 15 to 32: The Amsterdam Growth and Health Longitudinal Study

Tobacco and alcohol are often used in tandem over time, but specific predictors of course and patterns of course over time need explication. We examined differences in alcohol and tobacco course among an adolescent population as they transitioned into young adulthood across a 17-year period. Data came from participants (n = 303 for ages 15-21, n = 196 for ages 21 to 32; 52% female and 54% female, respectively) enrolled in the Amsterdam Growth and Health Longitudinal Study, an epidemiologic investigation examining disease across the life span. We utilized parallel latent growth modeling to assess the impact of sex, personality traits, cholesterol, blood pressure, and body mass index (BMI), on initial status and linear change over time in course of tobacco and alcohol. Females reported less alcohol use at adolescent baseline (β = -21.79), less increase during adolescence (β = -7.92, p < .05), slower decrease during young adulthood (β = 4.67, p < .05), and more rapid decline in tobacco use during young adulthood (β = -70.85, p < .05), relative to males. Alcohol and tobacco use baseline status' and change over time were all significantly associated with one another during both adolescence and young adulthood (p < .05; aside from alcohol baseline and slope during young adulthood). Effects of BMI, cholesterol, blood pressure, and personality traits were also observed on tobacco and alcohol course. In light of the strong, but sex dependent relationship between alcohol and tobacco course, particularly from ages 15 to 21, prevention efforts to curb heavy alcohol and tobacco use should consider targeting course taking into account biological sex and other notable covariates. (PsycINFO Database Record (c) 2018 APA, all rights reserved)