title: Measures for Predictors of Innovation Adoption.
abstract: Building on a narrative synthesis of adoption theories by Wisdom et al. (2013), this review identifies 118 measures associated with the 27 adoption predictors in the synthesis. The distribution of measures is uneven across the predictors and predictors vary in modifiability. Multiple dimensions and definitions of predictors further complicate measurement efforts. For state policymakers and researchers, more effective and integrated measurement can advance the adoption of complex innovations such as evidence-based practices.
authors.affiliation: Center for Mental Health Implementation and Dissemination Science in States for Children, Adolescents, and Families (IDEAS Center), Department of Child and Adolescent Psychiatry, New York University Child Study Center, New York University School of Medicine, 1 Park Avenue, 7th Floor, New York, NY, 10016, USA, brian.chor@nyumc.org.
authors.forename: Ka Ho Brian
authors.initials: KH
authors.lastname: Chor
authors.forename: Jennifer P
authors.initials: JP
authors.lastname: Wisdom
authors.forename: Su-Chin Serene
authors.initials: SC
authors.lastname: Olin
authors.forename: Kimberly E
authors.initials: KE
authors.lastname: Hoagwood
authors.forename: Sarah M
authors.initials: SM
authors.lastname: Horwitz
mesh_terms: D004059:Diffusion of Innovation; D055317:Evidence-Based Practice; D006302:Health Services Research; D006801:Humans
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