ArticleImplementation science : IS2016
Forging a link between mentoring and collaboration: a new training model for implementation science.
Article in Implementation science : IS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Building capacity in dissemination and implementation science: a systematic review of the academic literature on teaching and training initiatives.Implementation science : IS · 2020Pooled it
- Enhancing confidence in evidence-based psychological trauma care and implementation research: training program for clinicians in Ukraine.International journal of mental health systems · 2025Article
- Beyond the surface of capacity building: a mixed-methods study of the core functions and forms of dissemination and implementation science consultations.Implementation science communications · 2025Article
- Building capacity and equity in implementation science: evaluation of a national mentored training program.Implementation science : IS · 2025Article
- Workforce Career Development in Public Health, Health Education, and the Health Services: Insights from 30 Years of Cross-Disciplinary National and International Mentoring.International journal of environmental research and public health · 2025Article
- Support of Underrepresented and Early-Stage Faculty at a Research Center for Minority Institutions: A Social Network Analysis of Research Productivity over a Five-Year Period.Innovative higher education · 2025Article
- Recommendations for interdisciplinary research collaboration for early career dissemination and implementation researchers: A multi-phase study.Journal of clinical and translational science · 2025Article
- Scaling evidence-based interventions: Examining factors promoting and limiting the dissemination of research mentor training.Journal of clinical and translational science · 2025Article
- Building capacity in dissemination and implementation research: the presence and impact of advice networks.Implementation science : IS · 2024Article
- Closing the gap: advancing implementation science through training and capacity building.Implementation science : IS · 2024Article
- Researchers' views on and practices of knowledge translation: an international survey of transfusion medicine researchers.Implementation science communications · 2024Article
- The Translational Science Benefits Model, a new training tool for demonstrating implementation science impact: A pilot study.Journal of clinical and translational science · 2024Article
- Advancing healthcare equity through dissemination and implementation science.Health services research · 2023Review
- Creating an Interdisciplinary Collaborative Network of Scholars in Child Maltreatment Prevention: A Network Analysis of the Doris Duke Fellowships for the Promotion of Child Well-Being.Children and youth services review · 2023Article
- Learning to Prioritize Our Collaborative Opportunities: Overcoming the Bright Shiny Object Syndrome.The Journal of continuing education in the health professions · 2023Article
- Training in eight low-and middle-income countries: lessons learned from a pilot study using the WHO-TDR dissemination and implementation massive open online course.Frontiers in health services · 2023Article
- Advancing translational science education.Clinical and translational science · 2022Review
- Collaboration networks of the implementation science centers for cancer control: a social network analysis.Implementation science communications · 2022Article
- The WHO-TDR Dissemination and Implementation Massive Open Online Course (MOOC): Evaluation and Lessons Learned from Eight Low-and Middle-Income Countries.Research square · 2022Article
- Operationalizing Implementation Science in Nutrition: The Implementation Science Initiative in Kenya and Uganda.Current developments in nutrition · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundTraining investigators for the rapidly developing field of implementation science requires both mentoring and scientific collaboration. Using social network descriptive analyses, visualization, and modeling, this paper presents results of an evaluation of the mentoring and collaborations fostered over time through the National Institute of Mental Health (NIMH) supported by Implementation Research Institute (IRI).
methodsData were comprised of IRI participant self-reported collaborations and mentoring relationships, measured in three annual surveys from 2012 to 2014. Network descriptive statistics, visualizations, and network statistical modeling were conducted to examine patterns of mentoring and collaboration among IRI participants and to model the relationship between mentoring and subsequent collaboration.
resultsFindings suggest that IRI is successful in forming mentoring relationships among its participants, and that these mentoring relationships are related to future scientific collaborations. Exponential random graph network models demonstrated that mentoring received in 2012 was positively and significantly related to the likelihood of having a scientific collaboration 2 years later in 2014 (p = 0.001). More specifically, mentoring was significantly related to future collaborations focusing on new research (p = 0.009), grant submissions (p = 0.003), and publications (p = 0.017). Predictions based on the network model suggest that for every additional mentoring relationships established in 2012, the likelihood of a scientific collaboration 2 years later is increased by almost 7 %.
conclusionsThese results support the importance of mentoring in implementation science specifically and team science more generally. Mentoring relationships were established quickly and early by the IRI core faculty. IRI fellows reported increasing scientific collaboration of all types over time, including starting new research, submitting new grants, presenting research results, and publishing peer-reviewed papers. Statistical network models demonstrated that mentoring was strongly and significantly related to subsequent scientific collaboration, which supported a core design principle of the IRI. Future work should establish the link between mentoring and scientific productivity. These results may be of interest to team science, as they suggest the importance of mentoring for future team collaborations, as well as illustrate the utility of network analysis for studying team characteristics and activities.
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