Objective To develop an adaptive behavioral treatment for African American adolescents with obesity. Method In a sequential multiple assignment randomized trial, 181 youth ages 12 to 16 years with primary obesity and their caregiver were first randomized to 3 months of home-based versus office-based delivery of motivational interviewing plus skills building. After 3 months, non-responders to first phase treatment were re-randomized to continued home-based skills or contingency management. Primary outcome was percent overweight and hypothesized moderators were adolescent executive functioning and depression Results There were no significant differences in primary outcome between home-based or office-based delivery or between continued home-based skills or contingency management for non-responders to first-phase treatment. However, families receiving home-based treatment initially attended significantly more sessions in both phases of the trial, and families receiving contingency management attended more sessions in the second phase. Overall, participants demonstrated decreases in percent overweight over the course of the trial (3%), and adolescent executive functioning moderated this effect such that those with higher functioning lost more weight. Conclusions More potent behavioral treatments to address the obesity epidemic are necessary, targeting new areas such as executive functioning. Delivering treatment in the home with contingency management may increase session attendance for this population.

IntroductionThe successful recruitment and retention of participants is integral to the translation of research findings. We examined the recruitment and retention rates of racial/ethnic minority adolescents at a center involved in the National Institutes of Health Obesity Research for Behavioral Intervention Trials (ORBIT) initiative by the 3 recruitment strategies used: clinic, informatics, and community.MethodsDuring the 9-month study, 186 family dyads, each composed of an obese African American adolescent and a caregiver, enrolled in a 6-month weight-loss intervention, a sequential multiple assignment randomized trial. We compared recruitment and retention rates by recruitment strategy and examined whether recruitment strategy was related to dyad baseline characteristics.ResultsOf the 186 enrolled families, 110 (59.1%) were recruited through clinics, 53 (28.5%) through informatics, and 23 (12.4%) through community. Of those recruited through community, 40.4% enrolled in the study, compared with 32.7% through clinics and 8.2% through informatics. Active refusal rate was 3%. Of the 1,036 families identified for the study, 402 passively refused to participate: 290 (45.1%) identified through informatics, 17 (29.8%) through community, and 95 (28.3%) through clinics. Recruitment strategy was not related to the age of the adolescent, adolescent comorbidities, body mass index of the adolescent or caregiver, income or education of the caregiver, or retention rates at 3 months, 7 months, or 9 months. Study retention rate was 87.8%.ConclusionUsing multiple recruitment strategies is beneficial when working with racial/ethnic minority adolescents, and each strategy can yield good retention. Research affiliated with health care systems would benefit from the continued specification, refinement, and dissemination of these strategies.

Background Minority adolescents are at highest risk for obesity and extreme obesity; yet, there are few clinical trials targeting African American adolescents with obesity. Purpose The purpose of the study was to develop an adaptive family-based behavioral obesity treatment for African American adolescents using a sequential multiple assignment randomized trial (SMART) design. Methods Fit Families was a SMART where 181 African American adolescents (67% female) aged 12–17 were first randomized to office-based versus home-based behavioral skills treatment delivered from a Motivational Interviewing foundation. After 3 months, nonresponders to first phase treatment were rerandomized to continued home-based behavioral skills treatment or contingency management with voucher-based reinforcement for adolescent weight loss and for caregiver adherence to the program. All interventions were delivered by community health workers. The primary outcome was treatment retention and percent overweight. Results All adolescents reduced percent overweight by −3.20%; there were no significant differences in percent overweight based on treatment sequence. Adolescents receiving home-based delivery in Phase 1 and contingency management in Phase 2 completed significantly more sessions than those receiving office-based treatment and continued skills without CM (M = 8.03, SD = 3.24 and M = 6.62, SD = 2.95, respectively). The effect of contingency management was strongest among older and those with lower baseline confidence. Younger adolescents experienced greater weight reductions when receiving continued skills (−4.90% compared with −.02%). Conclusions Behavioral skills training can be successfully delivered to African American adolescents with obesity and their caregivers by community health workers when using a home-based service model with incentives. More potent interventions are needed to increase reductions in percent overweight and may need to be developmentally tailored for younger and older adolescents.

This study examines the effectiveness of state-of-the-art supervised machine learning methods in conjunction with different feature types for the task of automatic annotation of fragments of clinical text based on codebooks with a large number of categories. We used a collection of motivational interview transcripts consisting of 11,353 utterances, which were manually annotated by two human coders as the gold standard, and experimented with state-of-art classifiers, including Naïve Bayes, J48 Decision Tree, Support Vector Machine (SVM), Random Forest (RF), AdaBoost, DiscLDA, Conditional Random Fields (CRF) and Convolutional Neural Network (CNN) in conjunction with lexical, contextual (label of the previous utterance) and semantic (distribution of words in the utterance across the Linguistic Inquiry and Word Count dictionaries) features. We found out that, when the number of classes is large, the performance of the CNN and CRFs is inferior to SVM. When only lexical features were used, interview transcripts were automatically annotated by SVM with the highest classification accuracy among all classifiers of 70.8%, 61% and 53.7% based on the codebooks consisting of 17, 20 and 41 codes, respectively. Using contextual and semantic features, as well as their combination, in addition to lexical ones, improved the accuracy of SVM for annotation of utterances in motivational interview transcripts with a codebook consisting of 17 classes to 71.5%, 74.2%, and 75.1%, respectively. Our results demonstrate the potential of using machine learning methods in conjunction with lexical, semantic and contextual features for automatic annotation of clinical interview transcripts with near-human accuracy.

This study demonstrates application of a novel experimental approach to intervention development and demonstrated the importance of parent involvement when delivering contingency management for minority youth weight loss. Lessons learned from contingency management program implementation are also discussed in order to inform practice.