The DOI matches its Crossref record; 53 of the 54 references it cites were found in a registry or an index.
Diffusion Of Innovations Theory, Principles, And Practice
Abstract
Aspects of the research and practice paradigm known as the diffusion of innovations are applicable to the complex context of health care, for both explanatory and interventionist purposes. This article answers the question, "What is diffusion?" by identifying the parameters of diffusion processes: what they are, how they operate, and why worthy innovations in health care do not spread more rapidly. We clarify how the diffusion of innovations is related to processes of dissemination and implementation, sustainability, improvement activity, and scale-up, and we suggest the diffusion principles that can be readily used in the design of interventions.
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
“This rapid adoption across the delivery system is likely driven both by an expectation that generative AI will address burnout among clinicians and increase patient volume and social, institutional, and mimetic processes.33,34”
From Uptake of Generative AI Integrated With Electronic Health Records in US Hospitals (2025) · cites this paper as [33]
In the citing paper
“From the perspective of innovation diffusion81, the use of digital health interventions for NCD management in primary health care of LMICs could be classified as “late majority” or even “laggards” in some regions”
From Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries (2023) · cites this paper as [81]
Citations
Cites
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 20,559
Keck, M. E., & Sikkink, K. (2014) · Cornell University Press eBooks · doi:10.7591/9780801471292 · Cited by 4,701
The answer is 17 years, what is the question: understanding time lags in translational research
Morris, Z. S., Wooding, S., & Grant, J. (2011) · Journal of the Royal Society of Medicine · doi:10.1258/jrsm.2011.110180 · Cited by 3,340
Disseminating Innovations in Health Care
Berwick, D. M. (2003) · JAMA · doi:10.1001/jama.289.15.1969 · Cited by 1,878
The Diffusion of Innovations among the American States
Walker, J. L. J. (1969) · American Political Science Review · doi:10.2307/1954434 · Cited by 1,740
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
Wiltsey Stirman, S., Kimberly, J., Cook, N., Calloway, A., Castro, F., & Charns, M. (2012) · Implementation Science · doi:10.1186/1748-5908-7-17 · Cited by 1,355
Standards of Evidence: Criteria for Efficacy, Effectiveness and Dissemination
Flay, B. R., Biglan, A., Boruch, R. F., Castro, F. G., Gottfredson, D., Kellam, S., Mościcki, E. K., Schinke, S., Valentine, J. C., & Ji, P. (2005) · Prevention Science · doi:10.1007/s11121-005-5553-y · Cited by 1,338
Policy Entrepreneurship and Policy Change
Mintrom, M., & Norman, P. (2009) · Policy Studies Journal · doi:10.1111/j.1541-0072.2009.00329.x · Cited by 1,269
Coproduction of healthcare service
Batalden, M., Batalden, P., Margolis, P., Seid, M., Armstrong, G., Opipari-Arrigan, L., & Hartung, H. (2016) · BMJ Quality & Safety · doi:10.1136/bmjqs-2015-004315 · Cited by 1,078
Identifying influential and susceptible members of social networks
Aral, S., & Walker, D. (2012) · Science · doi:10.1126/science.1215842 · Cited by 1,047
May, P. (1992) · Journal of Public Policy · doi:10.1017/s0143814x00005602 · Cited by 862
Agendas and Instability in American PoliticsPreprint
John, P. C. (2013) · SSRN Electronic Journal · Cited by 851
Modelling and forecasting the diffusion of innovation – A 25-year review
Meade, N., & Islam, T. (2006) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2006.01.005 · Cited by 821
An Agenda for Research on the Sustainability of Public Health Programs
Scheirer, M. A., & Dearing, J. W. (2011) · American Journal of Public Health · doi:10.2105/ajph.2011.300193 · Cited by 775
Self-citationAn Experimental Study of Homophily in the Adoption of Health Behavior
Centola, D. (2011) · Science · doi:10.1126/science.1207055 · Cited by 681
Bottom‐Up Federalism: The Diffusion of Antismoking Policies from U.S. Cities to States
Shipan, C. R., & Volden, C. (2006) · American Journal of Political Science · doi:10.1111/j.1540-5907.2006.00218.x · Cited by 616
Words Without Action? The Production, Dissemination, And Impact Of Consensus Recommendations
Lomas, J. (1991) · Annual Review of Public Health · doi:10.1146/annurev.pu.12.050191.000353 · Cited by 361
Policy Diffusion Dynamics in America
Boushey, G. T. (2010) · Cambridge University Press eBooks · doi:10.1017/cbo9780511778834 · Cited by 314
Scaling up in international health: what are the key issues?
Mangham, L. J., & Hanson, K. (2010) · Health Policy and Planning · doi:10.1093/heapol/czp066 · Cited by 303
Arora, S., Kalishman, S. G., Dion, D., Som, D., Thornton, K., Bankhurst, A. D., Boyle, J., Harkins, M. S., Moseley, K., Murata, G. H., et al. (2011) · Health Affairs · doi:10.1377/hlthaff.2011.0278 · Cited by 288
Advances in Strategic Management
(2015) · doi:10.1108/s0742-332220150000033015 · Cited by 276
Words Without Action? The Production, Dissemination, And Impact Of Consensus Recommendations
Lomas, J. (1991) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.12.1.41 · Cited by 274
Pérez, D., Van der Stuyft, P., Zabala, M. D. C., Castro, M., & Lefèvre, P. (2015) · Implementation Science · doi:10.1186/s13012-016-0457-8 · Cited by 237
Karch, A. (2007) · University of Michigan Press eBooks · doi:10.3998/mpub.206839 · Cited by 212
Wiltsey Stirman, S., A Gutner, C., Crits-Christoph, P., Edmunds, J., Evans, A. C., & Beidas, R. S. (2015) · Implementation Science · doi:10.1186/s13012-015-0308-z · Cited by 188
Estabrooks, C. A., Derksen, L., Winther, C., Lavis, J. N., Scott, S. D., Wallin, L., & Profetto‐McGrath, J. (2008) · Implementation Science · doi:10.1186/1748-5908-3-49 · Cited by 166
Multinational Diffusion Models: An Alternative Framework
Kumar, V., & Krishnan, T. V. (2002) · Marketing Science · doi:10.1287/mksc.21.3.318.139 · Cited by 150
Designing for diffusion: How can we increase uptake of cancer communication innovations?
Dearing, J. W., & Kreuter, M. W. (2010) · Patient Education and Counseling · doi:10.1016/j.pec.2010.10.013 · Cited by 147
Self-citationSociometric Patterns in Hysterical Contagion
Kerckhoff, A. C., & Back, K. W. (1965) · Sociometry · doi:10.2307/2786081 · Cited by 129
Managing Diffusion Barriers When Launching New Products
Talke, K. S. S., & Hultink, E. J. (2010) · Journal of Product Innovation Management · doi:10.1111/j.1540-5885.2010.00734.x · Cited by 128
Conell, C., & Cohn, S. (1995) · American Journal of Sociology · doi:10.1086/230728 · Cited by 124
Punctuated Equilibrium Theory and the Diffusion of Innovations
Boushey, G. T. (2012) · Policy Studies Journal · doi:10.1111/j.1541-0072.2011.00437.x · Cited by 111
Boushey, G. T. (2016) · American Political Science Review · doi:10.1017/s0003055415000532 · Cited by 111
Greve, H. R., & Seidel, M. L. (2014) · Strategic Management Journal · doi:10.1002/smj.2232 · Cited by 98
ADMINISTRATIVE PROFESSIONALS AND THE DIFFUSION OF INNOVATIONS: THE CASE OF CITIZEN SERVICE CENTRES
Bhatti, Y., Olsen, A. L., & Pedersen, L. H. (2010) · Public Administration · doi:10.1111/j.1467-9299.2010.01882.x · Cited by 97
Fast and expensive: the diffusion of a disappointing innovation
Greve, H. R. (2011) · Strategic Management Journal · doi:10.1002/smj.922 · Cited by 96
Zimmerman, S. I., Bowers, B. J., Cohen, L. W., Grabowski, D. C., Horn, S. D., & Kemper, P. F. (2015) · Health Services Research · doi:10.1111/1475-6773.12430 · Cited by 83
Vertical Diffusion and the Policy-Making Process
Karch, A. (2010) · Political Research Quarterly · doi:10.1177/1065912910385252 · Cited by 82
Practices Caring For The Underserved Are Less Likely To Adopt Medicare’s Annual Wellness Visit
Ganguli, I., Souza, J., McWilliams, J. M., & Mehrotra, A. (2018) · Health Affairs · doi:10.1377/hlthaff.2017.1130 · Cited by 69
Generalizing about Public Health Interventions: A Mixed-Methods Approach to External Validity
Leviton, L. C. (2017) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031816-044509 · Cited by 59
Impact Of The YMCA Of The USA Diabetes Prevention Program On Medicare Spending And Utilization
Alva, M. L., Hoerger, T. J., Jeyaraman, R., Amico, P. R., & Smith, L. R. (2017) · Health Affairs · doi:10.1377/hlthaff.2016.1307 · Cited by 59
Mapping the growing discipline of dissemination and implementation science in health
Norton, W. E., Lungeanu, A., Chambers, D., & Contractor, N. (2017) · Scientometrics · doi:10.1007/s11192-017-2455-2 · Cited by 53
Justice in the Diffusion of Innovation
Buchanan, A. E., Cole, T., & Keohane, R. O. (2009) · Journal of Political Philosophy · doi:10.1111/j.1467-9760.2009.00348.x · Cited by 47
Designing for Diffusion of a Biomedical Intervention
Dearing, J. W., Smith, D. K., Larson, R. S., & Estabrooks, C. A. (2012) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2012.09.038 · Cited by 46
Self-citationDouglas, J. W. B., Raudla, R., & Hartley, R. E. (2015) · Policy Studies Journal · doi:10.1111/psj.12113 · Cited by 36
Integrating Social Needs Into Health Care: A Twenty-Year Case Study Of Adaptation And Diffusion
Onie, R. D., Lavizzo‐Mourey, R. J., Lee, T. H.-Y., Marks, J. S., & Perla, R. J. (2018) · Health Affairs · doi:10.1377/hlthaff.2017.1113 · Cited by 36
The Science And Art Of Delivery: Accelerating The Diffusion Of Health Care Innovation
Parston, G., McQueen, J., Patel, H., Keown, O. P., Fontana, G., Al-Kuwari, H., & Darzi, A. W. (2015) · Health Affairs · doi:10.1377/hlthaff.2015.0406 · Cited by 35
Dearing, J. W., Beacom, A. M., Chamberlain, S. A., Meng, J., Berta, W. B., Keefe, J. M., Squires, J. E., Doupe, M. B., Taylor, D., Reid, R. C., et al. (2017) · Implementation Science · doi:10.1186/s13012-017-0542-7 · Cited by 33
Self-citationPublic Health and Agenda Setting: Determinants of State Attention to Tobacco and Vaccines
Pacheco, J., & Boushey, G. T. (2014) · Journal of Health Politics Policy and Law · doi:10.1215/03616878-2682612 · Cited by 31
Communication of Innovations: A Journey with Ev Rogers
Dearing, J. W., & Singhal, A. (2006) · SAGE Publications India Pvt Ltd eBooks · doi:10.4135/9788132113775.n1 · Cited by 28
Self-citationLaunch timing and launch activities proficiency as antecedents to new product performance
Calantone, R. J., Benedetto, C. A. D., & Rubera, G. (2012) · Journal of Global Scholars of Marketing Science · doi:10.1080/21639159.2012.717370 · Cited by 24
Perla, R. J., Pham, H. H., Gilfillan, R. J., Berwick, D. M., Baron, R. J., Lee, P., McCannon, C. J., Progar, K., & Shrank, W. H. (2018) · Health Affairs · doi:10.1377/hlthaff.2017.1109 · Cited by 22
Flagged first, then by citations
1 of the 54 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Green LW, 1991, Advances in health education and promotion, 91
Cited by
Sorted by citations
A framework for digital health equity
Richardson, S., Lawrence, K., Schoenthaler, A. M., & Mann, D. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00663-0 · Cited by 607
Students’ Perception towards E-Learning during COVID-19 Pandemic in India: An Empirical Study
Khan, M. A., Vivek, V., Nabi, M. K., Khojah, M., & Tahir, M. (2020) · Sustainability · doi:10.3390/su13010057 · Cited by 375
Connecting the poor: the internet, mobile phones and financial inclusion in Africa
Evans, O. (2018) · Digital Policy Regulation and Governance · doi:10.1108/dprg-04-2018-0018 · Cited by 187
Barriers and Facilitators to Telemedicine: Can You Hear Me Now?
López, A. M., Lam, K., & Thota, R. (2021) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk_320827 · Cited by 155
David, L. O., Nwulu, N. I., Aigbavboa, C. O., & Adepoju, O. O. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.132522 · Cited by 133
Metadata
- Authors
- Dearing, J. W., & Cox, J. G.
- Affiliations
- Michigan State University (US)
- ORCID
- Dearing, James W.
- Venue
- Health Affairs
- Publisher
- Health Affairs Publishing, LLC
- Published
- 2018-02
- Volume
- 37
- Issue
- 2
- Pages
- 183-190
- ISSN
- 0278-2715 (ISSN-L)
- 1544-5208
- OpenAlex
- W2787575783
- Semantic Scholar
- c51cca517bacd0aeb780046843be80d73cde6311
- Cited by
- 757
- References
- 54
- Citations by year
- 2026: 95 · 2025: 133 · 2024: 133 · 2023: 125 · 2022: 114 · 2021: 85 · 2020: 40 · 2019: 23 · 2018: 6
- FWCI
- 58.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Health Affairs (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
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Keywords
- diffusion of innovations, healthcare innovation, diffusion, dissemination, implementation, sustainability, scale-up, intervention design
- MeSH terms
- Delivery of Health Care, Diffusion of Innovation, Health Plan Implementation, Humans, Organizational Innovation, 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 ›
Are you an author, or do you see a problem with this page? Request a review