| Literature DB >> 30305069 |
Goonaseelan Pillai1,2, Kelly Chibale3, Edwin C Constable4, Akiko N Keller5, Marcelo M Gutierrez6, Fareed Mirza6, Christian Sengstag4, Collen Masimirembwa7, Paolo Denti2, Gary Maartens2, Michèle Ramsay8, Bernhards Ogutu9, Eyasu Makonnen10, Richard Gordon11, Carlos Gil Ferreira12, Fernando Alberto Goldbaum13, Wim M S Degrave14, Jonathan Spector15, Brigitta Tadmor15, Hedwig J Kaiser4.
Abstract
BACKGROUND: Scientific 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.Entities:
Keywords: Capability development; Capacity development; Early career researcher development; Education; Fellowship; Postgraduate research; Public health; Research and Development
Mesh:
Year: 2018 PMID: 30305069 PMCID: PMC6180641 DOI: 10.1186/s12909-018-1331-y
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Fig. 1Geographic distribution of Next Generation Scientist fellows. NGS fellows were based at institutions in low- and middle-income countries in Africa, Asia, Europe, and Latin America. Since 2011, 143 fellows from 25 countries have participated. Countries that contributed the highest number of fellows were South Africa (n = 38) in the Africa region (62%) and Brazil (n = 15) in the Americas (22%)
Fig. 2Total number of peer-reviewed publications before- and after- participation in the program. The column on the extreme left shows data for all survey respondents as a boxplot. The horizontal bar inside the box shows the median; the box encloses the inter-quartile range i.e. 50% of the data. The whiskers show the interval of values outside the box and values far outside are represented by points. The subsequent columns show before-after publication output for each survey respondent from 6 cohorts, with the thick red line showing the median for the cohort. Responses where before and after outputs were both zero have been excluded. The 2017 cohort did not participate in the follow-up survey
Number of applicants, number selected and number of survey respondents per cohort year
| Year | Applications Receiveda | Fellows Selected (%) | Respondents to 2017 Survey (%) |
|---|---|---|---|
| 2011 | 27 | 15 (56) | 13 (87) |
| 2012 | 37 | 20 (54) | 17 (85) |
| 2013 | 108 | 23 (21) | 23 (100) |
| 2014 | 308 | 22 (7) | 22 (100) |
| 2015 | 224 | 20 (9) | 20 (100) |
| 2016 | 263 | 20 (8) | 19 (95) |
| 2017 | 219 | 23 (11) | n/a |
aAfter removing duplicates and only retaining applications from low- and middle-income countries
Demographics of participants at the start of the 3-month fellowship (n = 143)
| General | |
|---|---|
| Gender (female) | 72 (50%) |
| Median age (25th–75th percentile) | 29 (27–33) |
| Region (Country) | |
| | 32 (22%) |
| | 88 (62%) |
| | 10 (7%) |
| | 13 (9%) |
| Training level | |
| Master’s | 43 (30%) |
| PhD | 89 (62%) |
| Post-doctoral | 11 (8%) |
| Professional statusa | |
| Student | 88 (62%) |
| Public sector (including academia) | 47 (33%) |
| Private sector (including pharma) | 8 (6%) |
| Medical doctor | 31 (22%) |
| Fellowship research focusa | |
| Development of a specific methodology (e.g., laboratory protocol or standard operating procedure) | 111 (78%) |
| Training on planning or conduct of clinical trials | 34 (24%) |
| Access to laboratory equipment, infrastructure and expertise | 29 (20%) |
| Analysis of samples or data from the fellow’s own institution | 14 (10%) |
| Fellowship scientific discipline | |
| Biological targets and pathways | 32 (22%) |
| Chemistry, formulation, or analytical sciences | 42 (29%) |
| Clinical research | 55 (39%) |
| Genetics and genomics | 14 (10%) |
aCategories are not mutually exclusive
Professional progression of participants in the post-fellowship period (n = 120 at baseline; n = 114 at follow-up)
| Baseline (2011–2016)a | Follow-up (2017) | |
|---|---|---|
| Number of NGS fellows located outside country of citizenshipa | 15 (13%)b | 26 (23%)c |
| Highest training level | ||
| Master’s student | 35 (29%) | 0 (0%) |
| PhD student | 76 (63%) | 61 (54%) |
| Post-doctoral | 9 (8%) | 53 (46%) |
| Employment status | ||
| Student | 71 (59%) | 27 (24%) |
| Public sector (including academia) | 43 (36%) | 73 (64%) |
| Private sector (including pharma) | 6 (5%) | 14 (12%) |
aThe 2017 cohort did not participate in the follow-up survey
bAll were pursuing post-graduate study in South Africa
cIn post-doctoral training positions: 10 in the USA, 7 in Europe and 3 in South Africa. In full-time employment: 2 in USA and 1 in Europe and 4 in South Africa
Examples of NGS program outputs and outcomes
| Fellowship research focus | Outputs and outcomes |
|---|---|
| Development of a methodology (e.g., laboratory protocol or standard operating procedure) | A medicinal chemistry doctoral student from Kenya improved chemical inhibition phenotyping assays used to predict drug-drug interaction potential of new molecular entities [ |
| A pharmacologist from Tanzania developed a rapid and reliable reversed phase high performance liquid chromatography method for simultaneous determination of selected anti-retroviral agents and lumefantrine in human plasma [ | |
| A molecular biologist from Argentina developed a high-throughput screening assay for a drug target for | |
| A pharmacologist from Nigeria evaluated the herb-drug interaction potential of natural products in common use in his country [ | |
| A cellular and molecular biologist from Brazil conducted laboratory studies to develop mechanistic understanding of cell surface immune responses of helper T cells. This facilitated continuation of his doctoral studies on Chagas disease [ | |
| Training on planning or conduct of clinical trials | A medical doctor from South Africa obtained practical skills in operational planning and execution of first-in-human (FIH) studies [ |
| A medical oncologist from Brazil worked with an early clinical development team to learn procedures relating to trial protocol amendments. This facilitated direct interaction with in-house experts for input into her doctoral studies [ | |
| A medical doctor from Ethiopia compared mechanistic explanations of drug induced liver injury across multiple publicly available clinical candidates [ | |
| Access to laboratory equipment, infrastructure and expertise | A geneticist from South Africa documented genetic diversity in Black South Africans from Soweto, learned bioinformatics techniques, and constructed a large database of African genetic diversity for further analyses and training purposes [ |
| A geneticist from South Africa identified a novel mutation in the CHST6 gene as a cause of macular corneal dystrophy in a Black South African family, which was used for genetic counselling of the family [ | |
| A drug formulation scientist from Kenya assessed alternate liposomal parenteral formulations to solubilize poorly soluble drug substances while working with the nano-technology unit. He applied these technologies to potential anti-malarial drug formulations [ | |
| Analysis of samples or data from the fellow’s own institution | A medicinal chemist from Kenya evaluated the metabolism and pharmacokinetics for a series of new deoxyamodiaquine-based compounds. This work was directly applied to the drug discovery program at H3D [ |
| A pharmacognocist/phytochemist from Ghana assessed natural products to demonstrate anti-plasmodial and medicinal potential [ |
Program benefits reported by NGS fellows, home institution supervisors and host institution mentors
| Fellows and supervisors | Mentors |
|---|---|
| Access to data, biomedical technologies, and industry scientific expertise | Insights into local health care system and infrastructure in low and middle income countries (LMICs) |
| Enhanced skills to formulate relevant and impactful research questions | Insights into differences in disease manifestation and patient needs between LMICs and high-income countries (HICs) |
| Opportunities for networking and collaboration (e.g., with NGS fellows, industry colleagues, academic collaborators through networks created during the fellowship) | Development of collaborative relationships with local academic centers with similar or complementary research interests |
| Expedited completion of post-graduate qualification | Contribution to a social responsibility-driven mission |
| Improved understanding of career opportunities in industry and academia | |
| Development of local scientists and heightened global awareness of research environment | |
| Increased professional confidence, success in securing employment and leadership positions |