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1-159 - Leveraging a major component of Attachment and Biobehavioral Catch-up to ensure successful community dissemination

Thu, March 21, 2:15 to 3:45pm, Hilton Baltimore, Floor: Level 2, Key 10

Session Type: Paper Symposium

Integrative Statement

Delineating and testing predictors of change in evidence-based interventions have been identified as critical “next steps” of investigation as intervention efficacy is established and programs are moved to community-based settings (Weersing & Weisz, 2002). However, few interventions delineate and test core components during dissemination efforts. Attachment and Biobehavioral Catch-up (ABC) is an evidence-based early intervention that promotes sensitive caregiving in parents of infants aged 6-24 months. ABC is unique in that previous research has identified in the moment commenting to be the intervention’s core component and predictor of parent behavioral change. Commenting is defined as “real-time” feedback delivered by providers during sessions to support parents engaging in ABC-targeted behaviors (e.g., nurturance, following the lead, avoiding intrusive/frightening behavior). To maintain frequent and high-quality commenting, videotaped sessions are coded weekly by both a fidelity-focused supervisor and an ABC provider and commenting feedback is discussed. Providers’ coding of their own sessions has demonstrated increases in commenting frequency (Meade et al., 2014), and by association, commenting frequency and quality have predicted increases in parental sensitivity and decreases in parental intrusiveness (Caron et al., 2016). This symposium will expand upon previous research by reporting data from the nation-wide dissemination effort and from two individual community-based sites that implement ABC. Presenters will discuss the impact of commenting on parent behavioral outcomes as well as a novel approach to sustain commenting quality in a community-based setting. Each presentation will contribute to a thoughtful discussion on the importance of delineating and testing predictors of change in evidence-based interventions.

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