The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Design and Analysis in Dissemination and Implementation Research
Abstract
There remains a lack of consensus on methodological approaches to the study of dissemination and implementation (D&I) processes, and especially tests of implementation strategies. To begin to address these deficiencies, this chapter reviews design issues for dissemination and implementation research. It presents an overview of some of the analytic approaches to D&I research, recognizing that this analytic work is still at an early stage of development. Finally, the chapter presents a case study of research that crosses three of four recognized D&I phases and illustrates a number of design and analysis issues.
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In the citing paper
“Yet, crafting the study approach section is complicated by the current lack of consensus on methodological approaches to the study of implementation processes, measuring implementation context and outcomes, and testing implementation strategies [112,113].”
From Writing implementation research grant proposals: ten key ingredients (2012) · cites this paper as [113]
In the citing paper
“This traditional translational pipeline is commonly used by the National Institutes of Health (NIH) and other research-focused organizations to move scientific knowledge from basic and other pre-intervention research, to efficacy and effectiveness trials, to a stage that reaches the public (66, 79).”
From An Overview of Research and Evaluation Designs for Dissemination and Implementation (2017) · cites this paper as [66]
Citations
Cites
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Damschroder, L. J., Aron, D. C., Keith, R. E., Kirsh, S. R., Alexander, J. A., & Lowery, J. C. (2009) · Implementation Science · doi:10.1186/1748-5908-4-50 · Cited by 14,496
The Statistical Analysis of Failure Time Data.
Aitkin, M. A., Kalbfleisch, J. D., & Prentice, R. L. (1981) · Biometrics · doi:10.2307/2530581 · Cited by 9,875
Identification of Causal Effects Using Instrumental Variables
Angrist, J. D., Imbens, G. W., & Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476902 · Cited by 4,230
Curran, G. M., Bauer, M., Mittman, B., Pyne, J. M., & Stetler, C. (2012) · Medical Care · doi:10.1097/mlr.0b013e3182408812 · Cited by 4,058
Randomized, Controlled Trials, Observational Studies, and the Hierarchy of Research Designs
Concato, J., Shah, N., & Horwitz, R. I. (2000) · New England Journal of Medicine · doi:10.1056/nejm200006223422507 · Cited by 3,563
(2009) · Cited by 2,013
Identifiability and exchangeability for direct and indirect effects
Robins, J. M., & Greenland, S. (1992) · Epidemiology · doi:10.1097/00001648-199203000-00013 · Cited by 1,793
Principal Stratification in Causal Inference
Frangakis, C., & Rubin, D. B. (2002) · Biometrics · doi:10.1111/j.0006-341x.2002.00021.x · Cited by 1,543
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Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-013-0528-y · Cited by 12,038
“method designs in implementation research (Proctor et al. 2009; Landsverk et al. 2012; Palinkas et al. 2011a; Aarons et al. 2011).”
Self-citationImplementation strategies: recommendations for specifying and reporting
Proctor, E. K., Powell, B. J., & McMillen, J. C. (2013) · Implementation Science · doi:10.1186/1748-5908-8-139 · Cited by 2,585
Ten recommendations for using implementation frameworks in research and practice
Moullin, J. C., Dickson, K. S., Stadnick, N. A., Albers, B., Nilsen, P., Broder-Fingert, S., Mukasa, B., & Aarons, G. A. (2020) · Implementation Science Communications · doi:10.1186/s43058-020-00023-7 · Cited by 488
An Overview of Research and Evaluation Designs for Dissemination and Implementation
Brown, C. H., Curran, G., Palinkas, L. A., Aarons, G. A., Wells, K. B., Jones, L., Collins, L. M., Duan, N., Mittman, B. S., Wallace, A., et al. (2017) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031816-044215 · Cited by 509
Self-citationReflections on 10 years of effectiveness-implementation hybrid studies
Curran, G. M., Landes, S. J., McBain, S. A., Pyne, J. M., Smith, J. D., Fernandez, M. E., Chambers, D. A., & Mittman, B. S. (2022) · Frontiers in Health Services · doi:10.3389/frhs.2022.1053496 · Cited by 299
Metadata
- Authors
- Landsverk, J., Brown, C. H., Chamberlain, P., Palinkas, L., Ogihara, M., Czaja, S., Goldhaber-Fiebert, J. D., Rolls Reutz, J. A., & Horwitz, S. M.
- ORCID
- Venue
- Dissemination and Implementation Research in HealthTranslating Science to Practice
- Publisher
- Oxford University Press
- Published
- 2012-03-29
- Pages
- 225-260
- OpenAlex
- W2483397181
- Cited by
- 114
- References
- 57
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 6 · 2023: 4 · 2022: 6 · 2021: 9 · 2020: 14 · 2019: 10 · 2018: 6 · 2017: 6 · 2016: 8 · 2015: 10 · 2014: 12 · 2013: 14 · 2012: 2
- FWCI
- 61.76
- 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
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- dissemination and implementation research, implementation strategies, research design, analytical approach, implementation process, implementation evaluation, methodological consensus
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