Applying Diffusion of Innovation Theory to Intervention Development
Open accessAbstract
Few social science theories have a history of conceptual and empirical study as long as does the diffusion of innovations. The robustness of this theory derives from the many disciplines and fields of study in which diffusion has been studied, from the international richness of these studies, and from the variety of new ideas, practices, programs, and technologies that have been the objects of diffusion research. Early theorizing from the beginning of the 20th century was gradually displaced by post hoc empirical research that described and explained diffusion processes. By the 1950s, diffusion researchers had begun to apply the collective knowledge learned about naturalistic diffusion in tests of process interventions to affect the spread of innovations. Now, this purposive objective has given form to a science of dissemination in which evidence-based practices are designed a priori not just to result in internal validity but to increase the likelihood that external validity and diffusion both are more likely to result. Here, I review diffusion theory and focus on seven concepts—intervention attributes, intervention clusters, demonstration projects, societal sectors, reinforcing contextual conditions, opinion leadership, and intervention adaptation—with potential for accelerating the spread of evidence-based practices, programs, and policies in the field of social work.
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Researchers have often conceptualized sustainability as the final stage in the overall life cycle of an intervention, including development, adoption, implementation, and sustainability.
“Researchers have often conceptualized sustainability as the final stage in the overall life cycle of an intervention, including development, adoption, implementation (with potential adaptations), and sustainability (14, 31, 52, 110, 115, 118).”
From The Sustainability of Evidence-Based Interventions and Practices in Public Health and Health Care (2018) · cites this paper as [31]
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- Authors
- Dearing, J. W.
- Affiliations
- Kaiser Permanente (US)
- Corresponding author
- Dearing, James W.
- ORCID
- Dearing, James W.
- Venue
- Research on Social Work Practice
- Publisher
- SAGE Publications
- Published
- 2009-06-05
- Volume
- 19
- Issue
- 5
- Pages
- 503-518
- ISSN
- 1049-7315 (ISSN-L)
- 1552-7581
- PMC
- PMC2957672
- OpenAlex
- W2078154342
- Cited by
- 567
- References
- 106
- Citations by year
- 2026: 47 · 2025: 52 · 2024: 50 · 2023: 35 · 2022: 43 · 2021: 45 · 2020: 53 · 2019: 40 · 2018: 32 · 2017: 20 · 2016: 33 · 2015: 28 · 2014: 27 · 2013: 15 · 2012: 27
- FWCI
- 26.89
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Research on Social Work Practice (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (P20CA137219)
- 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
- Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
- Keywords
- diffusion of innovations, intervention development, evidence-based practice dissemination, pilot project, contextual factors, opinion leadership, intervention adaptation, social work practice
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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