Cited by 283Health Policy Implementation ScienceHealth Sciences Research and EducationSchool Health and Nursing Education

The DOI matches its Crossref record; 216 of the 218 references it cites were found in a registry or an index.

Addressing Core Challenges for the Next Generation of Type 2 Translation Research and Systems: The Translation Science to Population Impact (TSci Impact) Framework

Open access
Society for Prevention Research Type 2 Translational Task Force Members and Contributing Authors, Spoth, Richard, Rohrbach, Louise A., Greenberg, Mark, Leaf, Philip, Brown, C. Hendricks, Fagan, Abigail, Catalano, Richard F., Pentz, Mary Ann, Sloboda, Zili, Hawkins, J. David·2013·Prevention Science

Abstract

Evidence-based preventive interventions developed over the past two decades represent great potential for enhancing public health and well-being. Research confirming the limited extent to which these interventions have been broadly and effectively implemented, however, indicates much progress is needed to achieve population-level impact. In part, progress requires Type 2 translation research that investigates the complex processes and systems through which evidence-based interventions are adopted, implemented, and sustained on a large scale, with a strong orientation toward devising empirically-driven strategies for increasing their population impact. In this article, we address two core challenges to the advancement of T2 translation research: (1) building infrastructure and capacity to support systems-oriented scaling up of evidence-based interventions, with well-integrated practice-oriented T2 research, and (2) developing an agenda and improving research methods for advancing T2 translation science. We also summarize a heuristic "Translation Science to Population Impact (TSci Impact) Framework." It articulates key considerations in addressing the core challenges, with three components that represent: (1) four phases of translation functions to be investigated (pre-adoption, adoption, implementation, and sustainability); (2) the multiple contexts in which translation occurs, ranging from community to national levels; and (3) necessary practice and research infrastructure supports. Discussion of the framework addresses the critical roles of practitioner-scientist partnerships and networks, governmental agencies and policies at all levels, plus financing partnerships and structures, all required for both infrastructure development and advances in the science. The article concludes with two sets of recommended action steps that could provide impetus for advancing the next generation of T2 translation science and, in turn, potentially enhance the health and well-being of subsequent generations of youth and families.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s11121-012-0362-6

Cites

216 of 216 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 Addressing core challenges for the next generation of Type 2 translation research and systems: The Translation Science to Population Impact (TSci Impact) framework. Notes: EBIs: evidence-based interventions. Research cycle begins with intervention design guided by epidemiological, etiological, and life course development research. It should include T2 translation research integrated into pilot, efficacy, and effectiveness testing; optimally, interventions are developed to cover the full range of health-compromising behaviors across population segments
Fig. 1 Addressing core challenges for the next generation of Type 2 translation research and systems: The Translation Science to Population Impact (TSci Impact) framework. Notes: EBIs: evidence-based interventions. Research cycle begins with intervention design guided by epidemiological, etiological, and life course development research. It should include T2 translation research integrated into pilot, efficacy, and effectiveness testing; optimally, interventions are developed to cover the full range of health-compromising behaviors across population segmentsCC BY-NC · PubMed Central
Fig. 2 The two core challenges for Type 2 translation research: summary of primary topics, subtopics, and key issues addressed
Fig. 2 The two core challenges for Type 2 translation research: summary of primary topics, subtopics, and key issues addressedCC BY-NC · PubMed Central

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.

A few free checks a day · papers already verified open instantly · results are public

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?

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

Show all 218 references

Research works printed but not linked: 10

  1. Aos, S., Lieb, R., Mayfield, J., Miller, M., & Pennucci, A. (2004). Benefits and costs of prevention and early intervention programs for youth. Olympia: Washington State Institute for Public Policy.
  2. Chamberlain, P., Saldana, L., Brown, C. H., & Leve, L. D. (2010). Implementation of multidimensional treatment foster care in California: A randomized trial of an evidence-based practice. In M. Roberts-DeGennaro & S. Fogel (Eds.), Empirically supported interventions for community and organizational change. Chicago, IL: Lyceum.
  3. Flay, B. R., Biglan, A., Boruch, R. F., Castro, F. G., Gottfredson, D., Kellam, S., & Ji, P. (2004). Standards of evidence: Criteria for efficacy, effectiveness, and dissemination. Washington, DC: Society for Prevention Research.
  4. Greenberg, M. T., Domitrovich, C. E., Graczyk, P. A., & Zins, J. E. (2005). The study of implementation in school-based preventive interventions: Theory, research, and practice (vol. 3). Rockville: Center for Mental Health Services, SAMHSA.
  5. Greenwald, P. G. (1990). Forward. In Smoking, tobacco, and cancer programs. Rockville: National Cancer Institute, U.S.D.H.H.S.
  6. Hallfors, D., Sporer, A., Pankratz, M., & Godette, D. (2000). Drug-free schools survey: Report of results. Chapel Hill: University of North Carolina.
  7. Langford, B. H., Flynn-Khan, M., English, K., Grimm, G., & Taylor, K. (2012). Evidence2Success, making wise investments in children’s futures: Financing strategies and structures. Baltimore: The Annie E. Casey Foundation.
  8. Livit, M., & Wandersman, A. (2004). Organizational functioning: Facilitating effective interventions and increasing the odds of program success. In D. M. Fetterman & A. Wandersman (Eds.), Empowerment evaluation principals in practice (pp. 123–142). New York: Guilford.
  9. U. S. Department of Health and Human Services, Health Resources and Services Administration, Maternal and Child Health Bureau. (2011). The health and wellbeing of children in rural areas: A portrait of the nation 2007. Rockville: U.S. DHHS.
  10. World Health Organization. (2008). The global burden of disease: 2004 update. Geneva: WHO Press.

Cited by

Sorted by citations

Items 201–283 of 283

Metadata

Authors
Society for Prevention Research Type 2 Translational Task Force Members and Contributing Authors, Spoth, R., Rohrbach, L. A., Greenberg, M., Leaf, P., Brown, C. H., Fagan, A., Catalano, R. F., Pentz, M. A., Sloboda, Z., & Hawkins, J. D.
Affiliations
  • Iowa State University (US)
  • University of Southern California (US)
  • Pennsylvania State University (US)
  • Johns Hopkins University (US)
  • University of Miami (US)
  • Florida State University (US)
  • University of Washington (US)
  • JBS International (United States) (US)
Corresponding author
Spoth, Richard
Venue
Prevention Science
Published
2013-02-21
Volume
14
Issue
4
Pages
319-351
ISSN
  • 1389-4986 (ISSN-L)
  • 1573-6695
OpenAlex
W2002173750
Cited by
283
References
218
Citations by year
2026: 8 · 2025: 8 · 2024: 7 · 2023: 13 · 2022: 17 · 2021: 23 · 2020: 32 · 2019: 35 · 2018: 29 · 2017: 26 · 2016: 23 · 2015: 36 · 2014: 19 · 2013: 6
FWCI
50.72
Type
journal article
Language
en
Open access
Locations
  • Prevention Science (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • Research Explorer (The University of Manchester) (submittedVersion)
Funders
  • National Institutes of Health (5r13da021047-09)
  • National Institute on Drug Abuse (P30DA027828, 5R13DA021047-08SI, R01DA013709, 5R13DA021047-09, R13 DA021047)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R24HD042828)
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 › School Health and Nursing Education
Keywords
scaling up interventions, population effects, implementation research, practice-oriented research, research infrastructure, research networks, health policy
MeSH terms
Evidence-Based Practice, Translational Research, Biomedical

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