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A conceptual framework for transferring research to practice
Open accessAbstract
Systematic evaluations of efforts to transfer research-based interventions and procedures into general practice at community drug treatment programs have been limited. However, practical experiences as well as results from studies of technology transfer and organizational behavior in related fields provide a basis for proposing a heuristic model of key factors that influence this process. The successful completion of four stages of activity typically involved in program change (exposure, adoption, implementation, and practice of new interventions) appears to be influenced by several organizational considerations (e.g., institutional readiness for change, resources, and climate) as well as staff attributes. Assessment instruments for measuring organizational functioning (based on ratings aggregated for staff and patients in a program) are introduced, along with preliminary evidence for their validity. A better conceptual understanding of the process of program change and common barriers that may be encountered is needed for effectively transferring research to practice.
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“Thus, individuals who do not view the climate of their organization as welcoming innovation and organizations whose cultures do not promote exploration of practices in response to challenges are highly unlikely to explore the use of EBPs”
From Advancing a Conceptual Model of Evidence-Based Practice Implementation in Public Service Sectors (2011) · cites this paper as Simpson 2002
Experimental — accuracy not yet measuredIn the citing paper
“Successful transfer of research to practice involves programmatic change in the form of activities including exposure, adoption, implementation, and practice of new empirically-supported approaches [83].”
From Mindfulness-based treatment of addiction: current state of the field and envisioning the next wave of research (2018) · cites this paper as [83]
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Metadata
- Authors
- Simpson, D. D.
- Affiliations
- Texas Christian University (US)
- Corresponding author
- Simpson, D.Dwayne
- Venue
- Journal of Substance Abuse Treatment
- Publisher
- Elsevier BV
- Published
- 2002-06
- Volume
- 22
- Issue
- 4
- Pages
- 171-182
- ISSN
- 0740-5472 (ISSN-L)
- OpenAlex
- W2164256639
- Cited by
- 538
- References
- 63
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 14 · 2023: 5 · 2022: 13 · 2021: 14 · 2020: 17 · 2019: 14 · 2018: 15 · 2017: 15 · 2016: 9 · 2015: 23 · 2014: 20 · 2013: 25 · 2012: 38
- FWCI
- 39.22
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Substance Abuse Treatment (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Health and Human Services
- National Institute on Drug Abuse (DA13093)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Health Professions › General Health Professions › Health Sciences Research and Education
- Keywords
- research-to-practice transfer, software modification, technology transfer, organizational preparedness, intervention adoption, intervention implementation, organizational climate, barriers to change, general practice
- MeSH terms
- Academies and Institutes, Humans, Research, Program Evaluation, Public Health Practice, Substance Abuse Treatment Centers, Program Development, Models, Organizational, Technology Transfer, Evidence-Based Medicine, Substance-Related Disorders
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 ›
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