Measures for Predictors of Innovation Adoption
Open accessAbstract
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.
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Systematic reviews of implementation context measures have all found significant gaps and signal the continued need for measure validation and development.
“Systematic reviews of implementation context measures have been conducted, all of which have found significant gaps and signal the continued need for measure validation and development [89–95].”
From The updated consolidated framework for implementation research based on user feedback (2022) · cites this paper as [90]
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- Authors
- Chor, K. H. B., Wisdom, J. P., Olin, S.-C. S., Hoagwood, K. E., & Horwitz, S. M.
- Affiliations
- NYU Langone Health (US)
- George Washington University (US)
- Corresponding author
- Chor, Ka Ho Brian
- Venue
- Administration and Policy in Mental Health and Mental Health Services Research
- Published
- 2014-04-17
- Volume
- 42
- Issue
- 5
- Pages
- 545-573
- ISSN
- 0894-587X (ISSN-L)
- 1573-3289
- PMC
- PMC4201641
- OpenAlex
- W2061089897
- Cited by
- 85
- References
- 82
- Citations by year
- 2025: 4 · 2024: 1 · 2023: 6 · 2022: 20 · 2021: 11 · 2020: 8 · 2019: 6 · 2018: 8 · 2017: 8 · 2016: 1 · 2015: 9 · 2014: 3
- FWCI
- 1.19
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Administration and Policy in Mental Health and Mental Health Services Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (P30MH090322)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Innovations and Practices
- Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
- Keywords
- innovation adoption, adoption theory, evidence-based practice, mental health services, state mental health policy, complex innovation
- MeSH terms
- Diffusion of Innovation, Health Services Research, Humans, Evidence-Based Practice
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