title: Adaptive Interventions and SMART Designs: Application to child behavior research in a community setting.
abstract: Heterogeneity between and within people necessitates the need for sequential personalized interventions to optimize individual outcomes. Personalized or adaptive interventions (AIs) are relevant for diseases and maladaptive behavioral trajectories when one intervention is not curative and success of a subsequent intervention may depend on individual characteristics or response. AIs may be applied to medical settings and to investigate best prevention, education, and community-based practices. AIs can begin with low-cost or low-burden interventions and followed with intensified or alternative interventions for those who need it most. AIs that guide practice over the course of a disease, program, or school year can be investigated through sequential multiple assignment randomized trials (SMARTs). To promote the use of SMARTs, we provide a hypothetical SMART in a Head Start program to address child behavior problems. We describe the advantages and limitations of SMARTs, particularly as they may be applied to the field of evaluation.
authors.affiliation: Department of Biostatistics, University of Michigan.
authors.forename: Kelley M
authors.initials: KM
authors.lastname: Kidwell
authors.affiliation: Department of Psychology, Center for Human Growth and Development, Institute for Social Research, University of Michigan.
authors.forename: Luke W
authors.initials: LW
authors.lastname: Hyde
keywords: Head Start; adaptive intervention; behavior problems; feedback; parent training; sequential multiple assignment randomized trial