ArticleBMC medical education2018
The Next Generation Scientist program: capacity-building for future scientific leaders in low- and middle-income countries.
Article in BMC medical education, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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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.
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Who cites it
19 citing papers in PubMed.
- Ten simple rules for establishing a drug discovery lab in resource-limited settings.PLoS computational biology · 2026Article
- Unleashing potential: assessing Africa's readiness for the data science revolution to impact health.Nature communications · 2026Review
- Strengthening healthcare system resilience: a comprehensive framework for tropical cyclone preparedness and response.Lancet regional health. Americas · 2025Review
- Periodontal diseases in Africa.Periodontology 2000 · 2025Review
- Advancing pharmacometrics in Africa-Transition from capacity development toward job creation.CPT: pharmacometrics & systems pharmacology · 2025Review
- Curriculum, competency development, and assessment methods of MSc and PhD pharmacy programs: a scoping review.BMC medical education · 2024Article
- A bibliometric analysis of African dental research and the sustainable development goals, 2016-2023.Frontiers in oral health · 2024Article
- Empowering sickle cell disease care: the rise ofFrontiers in rehabilitation sciences · 2024Article
- Engaging early career researchers in a global health research capacity-strengthening programme: a qualitative study.Health research policy and systems · 2023Article
- Addressing the Gap in Research Methodologies Education in Pediatric Oncology in the Eastern Mediterranean Region.JCO global oncology · 2023Observational
- Biotransformation novel advances - 2021 year in review.Drug metabolism reviews · 2022Review
- Strengthening research capacity through an intensive training program for biomedical investigators from low- and middle-income countries: the Vanderbilt Institute for Research Development and Ethics (VIRDE).BMC medical education · 2022Article
- Fostering Sustainable Biomedical Research Training in Mozambique: A Spin-Off of the Medical Education Partnership Initiative.Annals of global health · 2022Article
- Mobile health solutions: An opportunity for rehabilitation in low- and middle income countries?Frontiers in public health · 2022Article
- Authorship trends in infectious diseases society of America affiliated journal articles conducted in low-income countries, 1998-2018.PLOS global public health · 2022Article
- CYP2B6 Functional Variability in Drug Metabolism and Exposure Across Populations-Implication for Drug Safety, Dosing, and Individualized Therapy.Frontiers in genetics · 2021Review
- The World Health Organization Prequalification Program and Clinical Pharmacology in 2030.Clinical pharmacology and therapeutics · 2020Article
- Mentored postdoctoral training in Zimbabwe: A report on a successful collaborative effort.Journal of public health in Africa · 2019Article
- The problem of 'trickle-down science' from the Global North to the Global South.BMJ global health · 2019Article
Corrections and comments
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Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundScientific and professional development opportunities for early career scientists in low- and middle- income countries (LMICs) are limited and not consistent. There is a disproportionately low number of biomedical and clinical researchers in LMIC's relative to their high burden of disease, a disparity that is aggravated by emigration of up to 70% of scientists from their countries of birth for education and employment elsewhere. To help address this need, a novel University-accredited, immersive fellowship program was established by a large public-academic-private network. We sought to describe the program and summarize progress and lessons learned over its first 7-years.
methodsHallmarks of the program are a structured learning curriculum and bespoke research activities tailored to the needs of each fellow. Research projects expose the scientists to state-of-the-art methodologies and leading experts in their fields while also ensuring that learnings are implementable within their home infrastructure. Fellows run seminars on drug discovery and development that reinforce themes of scientific leadership and teamwork together with practical modules on addressing healthcare challenges within their local systems. Industry mentors achieve mutual learning to better understand healthcare needs in traditionally underserved settings. We evaluated the impact of the program through an online survey of participants and by assessing research output.
resultsMore than 140 scientists and clinicians from 25 countries participated over the 7-year period. Evaluation revealed strong evidence of knowledge and skills transfer, and beneficial self-reported impact on fellow's research output and career trajectories. Examples of program impact included completion of post-graduate qualifications; establishment and implementation of good laboratory- and clinical- practice mechanisms; and becoming lead investigators in local programs. There was a high retention of fellows in their home countries (> 75%) and an enduring professional network among the fellows and their mentors.
conclusionsOur experience demonstrates an example for how multi-sectoral partners can contribute to scientific and professional development of researchers in LMICs and supports the idea that capacity-building efforts should be tailored to the specific needs of beneficiaries to be maximally effective. Lessons learned may be applied to the design and conduct of other programs to strengthen science ecosystems in LMICs.
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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.