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Measures for Predictors of Innovation Adoption
Ka Ho Brian Chor1, Jennifer P Wisdom, Su-Chin Serene Olin
1Center 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.
Administration and Policy in Mental Health
|April 18, 2014
Summary
This review identified 118 measures for 27 adoption predictors, finding uneven distribution and complex measurement. Improved measurement is crucial for advancing the adoption of evidence-based practices.
Area of Science:
- Implementation Science
- Health Services Research
- Organizational Behavior
Background:
- Adoption of innovations, particularly evidence-based practices, is critical in healthcare.
- Existing adoption theories provide a framework, but measurement of predictors is complex.
- Wisdom et al. (2013) synthesized adoption theories, highlighting key predictors.
Purpose of the Study:
- To systematically identify and categorize measures associated with adoption predictors.
- To assess the distribution and characteristics of measures across identified predictors.
- To inform the development of more effective measurement strategies for innovation adoption.
Main Methods:
- A narrative synthesis of adoption theories was extended.
- 118 distinct measures linked to 27 adoption predictors were identified.
- Analysis focused on measure distribution, predictor modifiability, and definitional clarity.
Main Results:
- A substantial number of measures (118) were associated with the 27 adoption predictors.
- The distribution of these measures was uneven across predictors.
- Predictors exhibited varying degrees of modifiability, and multiple dimensions/definitions complicated measurement.
Conclusions:
- Current measurement efforts for adoption predictors are fragmented and uneven.
- Addressing measurement complexity is essential for advancing the uptake of complex innovations.
- Integrated and effective measurement strategies are needed to support policymakers and researchers in promoting evidence-based practices.
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