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Evolution of Diffusion and Dissemination Theory
Abstract
The article provides a review and considers how the diffusion of innovations Research paradigm has changed, and offers suggestions for the further development of this theory of social change. Main emphases of diffusion Research studies are compared over time, with special attention to applications of diffusion theory-based concepts as types of dissemination science. A considerable degree of paradigmatic evolution is observed. The classical diffusion model focused on adopter innovativeness, individuals as the locus of decision, communication channels, and adoption as the primary outcome measures in post hoc observational study designs. The diffusion systems in question were centralized, with fidelity of implementation often assumed. Current dissemination Research and practice is better characterized by tests of interventions that operationalize one or more diffusion theory-based concepts and concepts from other change approaches, involve complex organizations as the units of adoption, and focus on implementation issues. Foment characterizes dissemination and implementation Research, Reflecting both its interdisciplinary Roots and the imperative of spreading evidence-based innovations as a basis for a new paradigm of translational studies of dissemination science.
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“Because organization, policy, and funding context may be among the strongest influences on implementation outcomes, context needs to be examined front and center in implementation research [69].”
From Writing implementation research grant proposals: ten key ingredients (2012) · cites this paper as [69]
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Metadata
- Authors
- Dearing, J. W.
- Affiliations
- Kaiser Permanente (US)
- Corresponding author
- Dearing, James W.
- ORCID
- Dearing, James W.
- Venue
- Journal of Public Health Management and Practice
- Published
- 2008-03
- Volume
- 14
- Issue
- 2
- Pages
- 99-108
- ISSN
- 1078-4659 (ISSN-L)
- OpenAlex
- W2072932508
- Cited by
- 218
- References
- 54
- Citations by year
- 2025: 7 · 2024: 6 · 2023: 14 · 2022: 9 · 2021: 18 · 2020: 12 · 2019: 7 · 2018: 14 · 2017: 9 · 2016: 9 · 2015: 15 · 2014: 23 · 2013: 18 · 2012: 20
- FWCI
- 2.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Public Health Management and Practice (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
- Health Sciences › Health Professions › General Health Professions › Health Sciences Research and Education
- Keywords
- diffusion of innovations, dissemination research, implementation research, social change, paradigm evolution, innovation adoption, organizational change, evidence-based innovation, translational research
- MeSH terms
- Diffusion of Innovation, Humans, Organizational Innovation, Preventive Medicine, Public Health Administration, Social Change, Information Dissemination
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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