2014
DOI: 10.1080/15374416.2014.945212
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Being “SMART” About Adolescent Conduct Problems Prevention: Executing a SMART Pilot Study in a Juvenile Diversion Agency

Abstract: OBJECTIVE The development of adaptive treatment strategies (ATS) represents the next step in innovating conduct problems prevention programs within a juvenile diversion context. Towards this goal, we present the theoretical rationale, associated methods, and anticipated challenges for a feasibility pilot study in preparation for implementing a full-scale SMART (i.e., sequential, multiple assignment, randomized trial) for conduct problems prevention. The role of a SMART design in constructing ATS is presented. … Show more

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Cited by 25 publications
(21 citation statements)
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“…August, Piehler, and Bloomquist (2014) present the design and rationale of a SMART pilot study to examine feasibility and acceptability considerations in the development of an adaptive preventive intervention for youth (ages 13–17) identified by law enforcement as early stage offenders and referred to pre-court juvenile diversion programming. The goal of the adaptive interventions is to prevent subsequent conduct disorder or substance use disorder.…”
Section: Overview Of the Articles In The Special Issuementioning
confidence: 99%
“…August, Piehler, and Bloomquist (2014) present the design and rationale of a SMART pilot study to examine feasibility and acceptability considerations in the development of an adaptive preventive intervention for youth (ages 13–17) identified by law enforcement as early stage offenders and referred to pre-court juvenile diversion programming. The goal of the adaptive interventions is to prevent subsequent conduct disorder or substance use disorder.…”
Section: Overview Of the Articles In The Special Issuementioning
confidence: 99%
“…Unfortunately, programs of this ilk are often costly to deliver, participation and completion rates are generally poor, and modest effect sizes have been reported on key outcomes with considerable variability in individual response [8]. To address these limitations, some prevention scientists have called for Bpersonalized^ap-proaches [9][10][11][12][13]. Personalized health care (i.e., personalized medicine, precision medicine) uses an individual's unique characteristics (genetic profiles, biomarkers, environmental exposures) to make decisions regarding the best intervention strategy for an individual [14].…”
Section: Discussionmentioning
confidence: 99%
“…Before and during the trial it would be important to meet with stakeholders (e.g., focus groups with parents, teachers, administrators) to tailor the interventions to what would be acceptable for all individuals involved. August et al, 2014 discuss establishing buy-in in the community through the creation of a steering committee with monthly meetings, education and training sessions for agency and research staff, and a pre-pilot study with a small sample of individuals to refine the protocol and gain experience. If intervention implementation is of great concern, a pilot SMART is an excellent approach to gain buy-in, develop fidelity, address feasibility concerns and refine components of the trial (Almirall, Compton, Gunlicks-Stoessel, Duan, & Murphy, 2012).…”
Section: Challenges Of a Smart Designmentioning
confidence: 99%
“…However, the application of AIs is broad in that they can guide any approach that includes two or more interventions used in sequence when subsequent intervention depends on response to the previous intervention or the ordering of interventions may affect overall effectiveness. For example, AIs have also been applied to guide the effective use of a judicial supervision system for drug-abusing defenders (Marlowe, Festinger, Dugosh, Lee, & Benasutti, 2007), effective interventions for weight loss (Almirall, Nahum-Shani, Sherwood, & Murphy, 2014), the timing and type of programs used to prevent adolescent conduct problems (August, Piehler, & Bloomquist, 2014), and the implementation of a mood disorder program in outpatient clinics(Kilbourne et al, 2014). …”
mentioning
confidence: 99%
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