Rates, Patterns, and Predictors of Follow-up Care for Adolescents at Risk for Substance Use Disorder in a School-Based Health Center SBIRT Program.

PURPOSE: To examine rates, patterns, and predictors of follow-up care for adolescents screened as being at risk for substance use disorder (SUD) in a school-based health center (SBHC) Screening, Brief Intervention and Referral to Treatment (SBIRT) program. METHODS: Electronic health records were extracted of adolescents who received health care services from one of three high school-based health centers implementing SBIRT. Patterns and predictors of engagement in follow-up care within 8 weeks following the week of a positive SUD risk screen were analyzed using item response theory (IRT) modeling. RESULTS: Out of 1,327 adolescents receiving SBHC services, 81.2% completed a health screening questionnaire. Of screened adolescents, 17.7% were positive for SUD risk. Across the 8-week follow-up period, 65.4% of adolescents at risk for SUD received at least one follow-up visit. IRT modeling indicated that high levels of engagement in follow-up care were characterized by contact with a behavioral health care (BHC) provider. The percentage of adolescents having follow-up contact with a BHC provider increased significantly after the onset of the COVID-19 pandemic. Engagement in follow-up care was predicted by risk for depression, history of suicidal behavior, being female, and previous sexual activity. DISCUSSION: SBHCs provide a favorable setting for screening and detecting adolescents at risk for SUD. Adolescents at risk for SUD should receive follow-up contact with a BHC provider. Enhanced follow-up engagement efforts may be warranted for adolescents at risk for SUD without risk for depression or suicidal history, as well as for females and those with previous sexual activity.

Teen and caregiver perspectives on success, clinician role, and family involvement in ACTION PAC, a weight management intervention trial.

Objective: Describe perspectives of teens and caregivers regarding motivations, successes, and challenges related to participation in ACTION PAC (ClinicalTrials.gov: NCT02502383), a two-year weight management trial. Methods: Intervention group participants received 16 short motivational interviewing (MI) sessions with school-based health center (SBHC) primary care clinicians over two years. Post-study, we conducted semi-structured interviews with purposefully sampled intervention group teens and their caregivers. Interviews were audio recorded, transcribed, and managed in NVivo 11. Three independent coders analyzed the data, developed a coding tree, examined how codes intersected and clarified relationships through memo writing. Results: The clinician's role and use of motivational interviewing and family involvement in behavior changes were cited as critical to success. Some adolescents noted difficulty in sustaining behavior changes post-intervention and social and systemic barriers to behavior change. Conclusion: Future studies should identify strategies to sustain teen motivation, better involve families, and address systemic barriers. Innovation: In this study, which simulated real-world SBHC conditions, adolescents appreciated the use of an MI approach and felt that was key to their success, indicating the potential to continue use of this approach to motivating behavior changes in SBHC settings.

SBIRT-A: Adapting SBIRT to Maximize Developmental Fit for Adolescents in Primary Care.

The Screening, Brief Intervention and Referral to Treatment (SBIRT) model is widely recommended as part of routine visits in pediatric primary care despite a dearth of evidence on its effectiveness, feasibility, and developmental appropriateness for adolescents in this setting. The purpose of this article is to explicate ways that SBIRT may be tailored to better serve adolescents in primary care under a set of recommended adaptations that we refer to collectively as SBIRT-A or Screening, Brief Intervention, and Referral to Treatment for Adolescents. Each component of the SBIRT-A framework incorporates recommendations to optimize developmental fit with adolescents based on extant empirical research, developmental theory, and well-documented barriers to service delivery in primary care. Commonalities across proposed adaptations include reliance upon proactive methods to identify and engage youth; innovation in service delivery aimed at improving the consistency and reach of interventions; and a family-focused approach to engagement, assessment, and intervention. Specific recommendations include taking advantage of every clinical encounter with the family to screen, involving caregivers in assessments and brief interventions, leveraging technology to administer brief interventions and booster sessions, and patient- and family-centered procedures for treatment referral and engagement. The adaptations proposed in this article have the potential to enhance the detection of adolescents with SU problems in primary care, the consistency of intervention provision, and engagement of this typically recalcitrant population into appropriate treatment.

Evidence base on outpatient behavioral treatments for adolescent substance use: updates and recommendations 2007-2013.

This article updates the evidence base on outpatient behavioral treatments for adolescent substance use (ASU) since publication of the previous review completed for this journal by Waldron and Turner ( 2008 ). It first summarizes the Waldron and Turner findings as well as those from more recent literature reviews and meta-analytic studies of ASU treatment. It then presents study design and methods criteria used to select 19 comparative studies subjected to Journal of Clinical Child & Adolescent Psychology level of support evaluation. These 19 studies are grouped by study category (efficacy or effectiveness) and described for sample characteristics, methodological quality, and substance use outcomes. Cumulative level of support designations are then made for each identified treatment approach: ecological family-based treatment, group cognitive-behavioral therapy, and individual cognitive-behavioral therapy are deemed Well Established; behavioral family-based treatment and motivational interviewing are deemed Probably Efficacious; drug counseling is deemed Possibly Efficacious; and four integrated treatment models combining more than one approach are deemed Well Established or Probably Efficacious. The remainder of the article (a) articulates fidelity, mediator, and moderator effects reported for evidence-based approaches since 2008 and (b) recommends four enhancements to the prevailing business model of ASU outpatient services to accelerate penetration of evidence-based approaches into the underserved consumer base: pursue partnerships with influential governmental systems, utilize web-based technology to extend reach and control costs, adapt effective methods for linking services across sectors of care, and promote uptake and sustainability by emphasizing return on investment.

Empirical Bayes MCMC estimation for modeling treatment processes, mechanisms of change, and clinical outcomes in small samples.

OBJECTIVE: The current analysis demonstrates the use of empirical Bayes (EB) estimation methods with data-derived prior parameters for studying clinically intricate process-mechanism-outcome linkages using structural equation modeling (SEM) with small samples. METHOD: The data were obtained from a small subsample of 23 families receiving Functional Family Therapy (FFT) for adolescent substance abuse during a completed randomized clinical trial. Two or 3 video-recorded FFT sessions were randomly selected for each family. The middle 20-min portion of each session was observed and coded. An SEM examining the influence of a select set of observed therapist behaviors on pre- to posttreatment change in mother reports of family functioning and, in turn, pre- to posttreatment change in adolescent reports of adolescent marijuana use and delinquent behavior was specified. The SEM was implemented using EB estimation with data-derived maximum likelihood (ML) prior parameters and Markov Chain Monte Carlo (MCMC) estimation of the joint posterior distribution. RESULTS: The EB SEM results indicated that a relatively high proportion of individually focused general interventions (i.e., seek information, acknowledge) as well as relationally focused meaning change interventions by therapists during sessions of FFT were predictive of pre- to posttreatment increases in levels of family functioning as reported by mothers in families of substance-abusing adolescents. In turn, increases in mother-reported family functioning were predictive of reductions in levels of adolescent-reported delinquent behavior. CONCLUSIONS: EB MCMC methods produced more stable results than did ML, especially regarding the variances on the change factors in the SEM. EB MCMC estimation is a viable alternative to ML estimation of SEMs in clinical research with prohibitively small samples.

Depression symptoms among Mexican American youth: paternal parenting in the context of maternal parenting, economic stress, and youth gender.

Mexican American youth (N = 146; age range: 14-19 years) living in an immigrant enclave who resided with both parents reported depression symptoms, paternal and maternal acceptance, paternal and maternal harsh parenting, and economic stress. Despite lower levels of youth-reported paternal parenting relative to maternal parenting, paternal acceptance was significantly related to youth depression symptoms in a path model that accounted for parenting intercorrelations as well as other significant correlates of youth depression symptoms. We found evidence suggesting that the relation between youth-reported paternal acceptance and depression might be stronger for girls than for boys. Using an ecological analytic framework, we found that: (a) the link between economic stress and youth depression was robust, and (b) only one parenting variable (paternal acceptance) may partially mediate the link between economic stress and depression symptoms. Our results suggest that paternal parenting and youth gender deserve further consideration in longitudinal research and intervention research addressing depression among Latino youth. Ecological models that highlight the influence of settings where Latino youth and families live should be considered in research on the family relationship context of youth depression.

Adolescent health-risk sexual behaviors: effects of a drug abuse intervention.

Adolescents who abuse substances are more likely to engage in health-risking sexual behavior (HRSB) and are at particularly high risk for HIV/AIDS. Thus, substance abuse treatment presents a prime opportunity to target HIV-risk behaviors. The present study evaluated a one-session HIV-risk intervention embedded in a controlled clinical trial for drug-abusing adolescents. The trial was conducted in New Mexico and Oregon with Hispanic and Anglo adolescents. Youths were randomly assigned to individual cognitive behavior therapy (CBT) or to an integrated behavioral and family therapy (IBFT) condition, involving individual and family sessions. The HIV-specific intervention was not associated with change. IBFT and CBT were both efficacious in reducing HIV-risk behaviors from intake to the 18-month follow-up for high-risk adolescents. For low-risk adolescents, CBT (versus IBFT) was more efficacious in suppressing HRSB. These data suggest that drug abuse treatments can have both preventative and intervention effects for adolescents, depending on their relative HIV-risk.

Assertive outreach strategies for narrowing the adolescent substance abuse treatment gap: implications for research, practice, and policy.

In any given year, only about 10% of the nearly two million adolescents exhibiting substance abuse or dependence in the United States receive substance abuse treatment. Given this state of affairs, it is unlikely that the massive effort and expenditure of resources over the past decade on developing, testing, and disseminating effective treatments for adolescent substance abuse will have an appreciable impact on the prevalence of substance use disorders among the adolescent population. In order to substantially diminish the pervasive gap between levels of need for and utilization of adolescent substance abuse treatment, specialized assertive outreach strategies may be needed. This paper outlines a framework for assertive outreach for adolescents with substance use disorders and proposes specific types of strategies for identifying and enrolling such adolescents into treatment. Implications for practice and policy pertaining to adolescent substance abuse treatment service delivery are considered.

Ethnic background, therapeutic alliance, and treatment retention in functional family therapy with adolescents who abuse substances.

In this study, the authors examined the role of balance between adolescent-therapist and parent-therapist alliances in the retention of functional family therapy clients. Therapeutic alliances of mothers, fathers, and adolescents were assessed from videotapes of the 1st treatment session for 43 Hispanic and 43 Anglo families. Hispanic families who dropped out before completing the requisite number of sessions were found to have greater imbalance in alliance (parent-adolescent) than those who did complete therapy. However, this finding was not replicated with Anglo families. Results are interpreted in terms of previous research on family-level balanced alliance effects.

Cost-effectiveness analysis of four interventions for adolescents with a substance use disorder.

Alcohol, tobacco, and illicit drug use among adolescents in the United States continues to be a serious public health challenge. A variety of outpatient treatments for adolescent substance use disorders have been developed and evaluated. Although no specific treatment modality is effective in all settings, a number of promising adolescent interventions have emerged. As policy makers try to prioritize which programs to fund with limited public resources, the need for systematic economic evaluations of these programs is critical. The present study attempted a cost-effectiveness analysis of four interventions, including family-based, individual, and group cognitive behavioral approaches, for adolescents with a substance use disorder. The results indicated that treatment costs varied substantially across the four interventions. Moreover, family therapy showed significantly better substance use outcome compared to group treatment at the 4-month assessment, but group treatment was similar to the other interventions for substance use outcome at the 7-month assessment and for delinquency outcome at both the 4- and 7-month assessments. These findings over a relatively short follow-up period suggest that the least expensive intervention (group) was the most cost-effective. However, this study encountered numerous data and methodological challenges in trying to supplement a completed clinical trial with an economic evaluation. These challenges are explained and recommendations are proposed to guide future economic evaluations in this area.

Mixed-effects logistic regression for estimating transitional probabilities in sequentially coded observational data.

This article demonstrates the use of mixed-effects logistic regression (MLR) for conducting sequential analyses of binary observational data. MLR is a special case of the mixed-effects logit modeling framework, which may be applied to multicategorical observational data. The MLR approach is motivated in part by G. A. Dagne, G. W. Howe, C. H. Brown, & B. O. Muthén (2002) advances in general linear mixed models for sequential analyses of observational data in the form of contingency table frequency counts. The advantage of the MLR approach is that it circumvents obstacles in the estimation of random sampling error encountered using Dagne and colleagues' approach. This article demonstrates the MLR model in an analysis of observed sequences of communication in a sample of young adult same-sex peer dyads. The results obtained using MLR are compared with those of a parallel analysis using Dagne and colleagues' linear mixed model for binary observational data in the form of log odds ratios. Similarities and differences between the results of the 2 approaches are discussed. Implications for the use of linear mixed models versus mixed-effects logit models for sequential analyses are considered.

Engaging resistant adolescents in drug abuse treatment.

In the first phase of a two-part treatment development study, families with a treatment-resistant drug-abusing adolescent (n = 42) were offered 12 sessions of Community Reinforcement and Family Training (CRAFT). This parent-focused intervention was designed to help parents facilitate their adolescents' entry into treatment, to support adolescents' subsequent behavior change, and to improve parent and family functioning. In the second phase, successfully engaged adolescents (n = 30) were offered 12 sessions of a multicomponent individual cognitive-behavioral therapy (CBT) targeting substance use and related problem behaviors. For parents and adolescents, measures were collected on pretreatment and posttreatment, with an additional follow-up assessment for parents at 3 months after treatment. Parents on CRAFT intervention experienced a significant reduction in negative symptoms, and 71% of parents were successful in engaging their resistant youths in treatment. The CBT intervention for engaged youths was associated with a statistically significant, but not clinically significant, reduction in marijuana use.

Profiles of drug use behavior change for adolescents in treatment.

This study was designed to replicate and extend previous research on post-treatment responding by identifying trajectories of change on the basis of an empirical classification strategy and to examine predictors of those change trajectories identified. Treatment response was examined for 232 adolescents with substance use disorders who participated in one of two randomized controlled trials evaluating family and cognitive behavioral interventions in an outpatient treatment setting. Cluster analysis was used to identify, empirically, homogeneous groups of individuals who display common internally consistent patterns of change over the course of treatment.