The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Historical Roots of Dissemination and Implementation Science
Abstract
Dissemination science is the study of how evidence-based practices, programs, and policies can best be communicated to an interorganizational societal sector of potential adopters and implementers to produce uptake and effective use. Implementation science is the study of what happens after adoption occurs, especially in organizational settings. This chapter addresses the following questions: Where does the current emphasis on dissemination and implementation science come from? How are new media altering the diffusion of new practices, programs, and beliefs? Collective knowledge of the diffusion-of-innovations paradigm has given way to a focus on those paradigmatic concepts that can be operationalized in purposive tests of how to best disseminate and implement evidence-based health practices, programs, and policies. This has long been an objective in trying to spread effective innovations for improved global health as well as for domestic health care and public health. New media, in the ways in which they affect the dissemination of information by change agencies, the subsequent diffusion process among targeted adopters, and the resultant critical stage of implementation of evidence-based practices in organizations, are iteratively changing how we work and how targeted adopters respond to change initiatives.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Though it has made tremendous strides in its relatively short life span, the field also continues to face formidable challenges in refining the conceptualization and measurement of the factors that affect implementation success [84].”
Citations
Cites
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Centrality in social networks conceptual clarification
Freeman, L. C. (1978) · Social Networks · doi:10.1016/0378-8733(78)90021-7 · Cited by 17,062
The Spread of Obesity in a Large Social Network over 32 Years
Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007
Detecting influenza epidemics using search engine query data
Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009) · Nature · doi:10.1038/nature07634 · Cited by 4,295
Network Analysis in the Social Sciences
Borgatti, S. P., Mehra, A., Brass, D. J., & Labianca, G. (2009) · Science · doi:10.1126/science.1165821 · Cited by 4,280
The Network Structure Of Social Capital
Burt, R. S. (2000) · Research in Organizational Behavior · doi:10.1016/s0191-3085(00)22009-1 · Cited by 4,158
The Diffusion of an Innovation Among Physicians
Coleman, J., Katz, E., & Menzel, H. (1957) · Sociometry · doi:10.2307/2785979 · Cited by 1,475
The diffusion of hybrid seed corn in two Iowa communities
Ryan, B. (1943) · Rural Sociology · Cited by 1,401
Bounded Rationality: The Adaptive ToolboxPreprint
Gigerenzer, G., & Selten, R. (2001) · RePEc: Research Papers in Economics · Cited by 1,367
How Can Research Organizations More Effectively Transfer Research Knowledge to Decision Makers?
LAVIS, J. N., ROBERTSON, D., WOODSIDE, J. M., McLEOD, C. B., & ABELSON, J. (2003) · The Milbank Quarterly · doi:10.1111/1468-0009.t01-1-00052 · Cited by 1,176
Flagged first, then by citations
Cited by
Sorted by citations
Bridging Research and Practice
Tabak, R. G., Khoong, E. C., Chambers, D. A., & Brownson, R. C. (2012) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2012.05.024 · Cited by 1,386
Dissemination and Implementation Research in HealthTranslating Science to Practice
Brownson, R. C., Colditz, G. A., & Proctor, E. K. (2012) · doi:10.1093/acprof:oso/9780199751877.001.0001 · Cited by 1,355
Implementation science: What is it and why should I care?
Bauer, M. S., & Kirchner, J. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2019.04.025 · Cited by 1,167
Chaudoir, S. R., Dugan, A. G., & Barr, C. H. (2013) · Implementation Science · doi:10.1186/1748-5908-8-22 · Cited by 800
Large‐System Transformation in Health Care: A Realist Review
Best, A., Greenhalgh, T., Lewis, S. J., Saul, J. E., Carroll, S., & Bitz, J. (2012) · Milbank Quarterly · doi:10.1111/j.1468-0009.2012.00670.x · Cited by 575
Metadata
- Authors
- Dearing, J. W., & Kee, K. F.
- Affiliations
- Kaiser Permanente (US)
- Chapman University (US)
- Venue
- Dissemination and Implementation Research in HealthTranslating Science to Practice
- Publisher
- Oxford University Press
- Published
- 2012-03-29
- Pages
- 55-71
- OpenAlex
- W2480563107
- Cited by
- 67
- References
- 43
- Citations by year
- 2025: 7 · 2024: 2 · 2023: 3 · 2022: 5 · 2021: 9 · 2020: 7 · 2019: 7 · 2018: 6 · 2017: 4 · 2016: 2 · 2015: 6 · 2014: 1 · 2013: 4 · 2012: 4
- FWCI
- 24.38
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Oxford University Press eBooks (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Health Sciences › Health Professions › General Health Professions › Health Sciences Research and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
- Keywords
- implementation science, diffusion of innovations, evidence-based practice, new media, technology adoption, organizational change, global health
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 ›
Are you an author, or do you see a problem with this page? Request a review
