ArticleNursing outlook
A training program for nurse scientists to promote intervention translation.
Article in Nursing outlook. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Innovation in organizational and educational strategies for undergraduate/graduate nursing: a qualitative approach.Revista brasileira de enfermagem · 2025Article
- Areas of strength and opportunities for growth in translational science education and training: Results of a scoping review from the NCATS Education Branch.Clinical and translational science · 2023Article
- A literature review of knowledge translation and partnership research training programs for health researchers.Health research policy and systems · 2019Review
- The Regenerative Horizon: Opportunities for Nursing Research and Practice.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2019Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundTo reduce the burden of chronic illness, prevention and management interventions must be efficacious, adopted and implemented with fidelity, and reach those at greatest risk. Yet, many research-tested interventions are slow to translate into practice. PURPOSE: This paper describes how The University of North Carolina at Chapel Hill School of Nursing's NINR-funded institutional pre- and postdoctoral research-training program is addressing the imperative to speed knowledge translation across the research cycle.
methodsThe training emphasizes six research methods ("catalysts") to speed translation: stakeholder engagement, patient-centered outcomes, intervention optimization and sequential multiple randomized trials (SMART), pragmatic trials, mixed methods approaches, and dissemination and implementation science strategies. Catalysts are integrated into required coursework, biweekly scientific and integrative seminars, and experiential research training. Trainee and program success is evaluated based on benchmarks applicable to all PhD program students, supplemented by indicators specific to the catalysts. Trainees must also demonstrate proficiency in at least two of the six catalysts in their scholarly products. Proficiency is assessed through their works in progress presentations and peer reviews at T32 integrative seminars. DISCUSSION: While maintaining the emphasis on theory-based interventions, we have integrated six catalysts into our ongoing research training to expedite the dynamic process of intervention development, testing, dissemination and implementation.
conclusionsThrough a variety of training activities, our research training focused on theory-based interventions and the six catalysts will generate future nurse scientists who speed translation of theory-based interventions into practice to maximize health outcomes for patients, families, communities and populations affected by chronic illness.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.