Abstract

Due to a variety of factors, Autism Spectrum Disorder (ASD) has long been tethered to use of low-value practice (LVP), arguably moreso than any other psychiatric or neurodevelopmental condition. Although dissemination of empirically supported treatments (EST) for autistic individuals has expanded markedly over the past decade, there has not been concomitant reduction in the use of LVP. It is critical that clinicians and scientists not only promote the implementation of EST, but also facilitate the de-implementation (abandonment and/or divestment) of ineffective or harmful practices. In this review, we describe a data-driven approach that can be used to identify LVP, drawing from established criteria for identification of evidence-based treatments (e.g., APA Division 12, National Clearinghouse on Autism Evidence and Practice; SAMHSA), as well as broader considerations such as social validity, cost, and parsimony. Herein, a data-based approach to LVP identification is proposed with a goal of improving quality of service access. Within an implementation science framework, we identify specific facilitators that sustain LVP use, and recommendations for subsequent de-implementation strategies are offered.

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