The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
The effectiveness of knowledge translation strategies used in public health: a systematic review
Open accessAbstract
Background: Literature related to the effectiveness of knowledge translation (KT) strategies used in public health is lacking. The capacity to seek, analyze, and synthesize evidence-based information in public health is linked to greater success in making policy choices that have the best potential to yield positive outcomes for populations. The purpose of this systematic review is to identify the effectiveness of KT strategies used to promote evidence-informed decision making (EIDM) among public health decision makers. Methods: A search strategy was developed to identify primary studies published between 2000–2010. Studies were obtained from multiple electronic databases (CINAHL, Medline, EMBASE, and the Cochrane Database of Systematic Reviews). Searches were supplemented by hand searching and checking the reference lists of included articles. Two independent review authors screened studies for relevance, assessed methodological quality of relevant studies, and extracted data from studies using standardized tools. Results: After removal of duplicates, the search identified 64, 391 titles related to KT strategies. Following title and abstract review, 346 publications were deemed potentially relevant, of which 5 met all relevance criteria on full text screen. The included publications were of moderate quality and consisted of five primary studies (four randomized controlled trials and one interrupted time series analysis). Results were synthesized narratively. Simple or single KT strategies were shown in some circumstances to be as effective as complex, multifaceted ones when changing practice including tailored and targeted messaging. Multifaceted KT strategies led to changes in knowledge but not practice. Knowledge translation strategies shown to be less effective were passive and included access to registries of pre-processed research evidence or print materials. While knowledge brokering did not have a significant effect generally, results suggested that it did have a positive effect on those organizations that at baseline perceived their organization to place little value on evidence-informed decision making. Conclusions: No singular KT strategy was shown to be effective in all contexts. Conclusions about interventions cannot be taken on their own without considering the characteristics of the knowledge that was being transferred, providers, participants and organizations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series
(2008) · doi:10.1002/9780470712184 · Cited by 25,048
Michie, S., van Stralen, M. M., & West, R. (2011) · Implementation Science · doi:10.1186/1748-5908-6-42 · Cited by 13,697
Cochrane Handbook for Systematic Reviews of Interventions Version 5.0.1. The Cochrane Collaboration
Higgins, J., Green, S. R., & Higgins, J. (2008) · Cited by 5,544
Audit and feedback: effects on professional practice and healthcare outcomes
Ivers, N., Jamtvedt, G., Flottorp, S., Young, J. M., Odgaard-Jensen, J., French, S. D., O'Brien, M. A., Johansen, M., Grimshaw, J., & Oxman, A. D. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000259.pub3 · Cited by 5,485
Lost in knowledge translation: Time for a map?
Graham, I. D., Logan, J., Harrison, M. B., Straus, S. E., Tetroe, J., Caswell, W., & Robinson, N. (2006) · Journal of Continuing Education in the Health Professions · doi:10.1002/chp.47 · Cited by 4,705
Johnson, A. P. (2024) · Being and Becoming Teachers of Writing · doi:10.4324/9781003334798-34 · Cited by 4,502
Systematic reviews: CRD's guidance for undertaking reviews in health care
Tacconelli, E. (2010) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(10)70065-7 · Cited by 3,245
Realist review - a new method of systematic review designed for complex policy interventions
Pawson, R., Greenhalgh, T., Harvey, G., & Walshe, K. (2005) · Journal of Health Services Research & Policy · doi:10.1258/1355819054308530 · Cited by 3,190 · cited 1×
“In addition, a realist synthesis method, aimed at not only explaining how and why certain interventions work, but understanding the contexts in which they work best, may provide insight regarding "complex social interventions which act on complex social systems" [49].”
MethodBero, L. A., Grilli, R., Grimshaw, J. M., Harvey, E., Oxman, A. D., & Thomson, M. A. (1998) · BMJ · doi:10.1136/bmj.317.7156.465 · Cited by 2,396
Forsetlund, L., Bjørndal, A., Rashidian, A., Jamtvedt, G., O'Brien, M. A., Wolf, F. M., Davis, D., Odgaard-Jensen, J., & Oxman, A. D. (2009) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003030.pub2 · Cited by 1,849
Cited by
Brownson, R. C., Fielding, J. E., & Green, L. W. (2018) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040617-014746 · Cited by 396
Tools to support evidence-informed public health decision making
Yost, J., Dobbins, M., Traynor, R., DeCorby, K., Workentine, S., & Greco, L. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-728 · Cited by 116
Self-citationThe AIMD Writing/Working Group, Bragge, P., Grimshaw, J. M., Lokker, C., & Colquhoun, H. (2017) · BMC Medical Research Methodology · doi:10.1186/s12874-017-0314-8 · Cited by 80
Does knowledge brokering improve the quality of rapid review proposals? A before and after study
Moore, G., Redman, S., D’Este, C., Makkar, S., & Turner, T. (2017) · Systematic Reviews · doi:10.1186/s13643-017-0411-0 · Cited by 28
Rutherford, M., Forsyth, K., McKenzie, K., McClure, I., Murray, A., McCartney, D., Irvine, L., & O’Hare, A. (2018) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-018-3501-5 · Cited by 15
Metadata
- Authors
- LaRocca, R., Yost, J., Dobbins, M., Ciliska, D., & Butt, M.
- Venue
- BMC Public Health
- Published
- 2012-09-07
- Volume
- 12
- Issue
- 1
- Pages
- 751-751
- ISSN
- 1471-2458 (ISSN-L)
- OpenAlex
- W2117082329
- Cited by
- 300
- References
- 49
- FWCI
- 3.30
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The effectiveness of knowledge translation strategies used in public health: a systematic review. https://app.cochat.ai/papers/10.1186/1471-2458-12-751
- The paper
- LaRocca, R., Yost, J., Dobbins, M., Ciliska, D., & Butt, M. (2012). The effectiveness of knowledge translation strategies used in public health: a systematic review. BMC Public Health. https://doi.org/10.1186/1471-2458-12-751
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.