创新采用预测指标的措施。
Measures for Predictors of Innovation Adoption.
作者信息
Chor Ka Ho Brian, Wisdom Jennifer P, Olin Su-Chin Serene, Hoagwood Kimberly E, Horwitz Sarah M
机构信息
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,
出版信息
Adm Policy Ment Health. 2015 Sep;42(5):545-73. doi: 10.1007/s10488-014-0551-7.
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.
摘要
基于Wisdom等人（2013年）对采用理论的叙述性综合分析，本综述确定了与该综合分析中27个采用预测因素相关的118项衡量标准。这些衡量标准在各预测因素中的分布并不均匀，而且各预测因素在可修改性方面也存在差异。预测因素的多个维度和定义进一步使衡量工作变得复杂。对于州政策制定者和研究人员而言，更有效和综合的衡量能够推动诸如循证实践等复杂创新的采用。
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