A global crowdsourcing open call to improve research mentorship in low- and middle-income countries: a mixed methods analysis
Research mentoring programs are limited in many low- and middle-income countries (LMICs). The TDR Global initiated a global crowdsourcing open call soliciting proposals on how to improve research mentorship in LMICs. The purpose of this study is to examine ideas submitted to this open call to identi...
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sg-ntu-dr.10356-1613642023-03-05T15:58:43Z A global crowdsourcing open call to improve research mentorship in low- and middle-income countries: a mixed methods analysis Oppong, Emmanuela Bao, Huanyu Tang, Weiming Mejia, María I. Echavarria Glozah, Franklin Asanga, Nsisong Boinett, Christine J. Aguilar, Ana M. Valido, Ezra Lestari, Trisasi Tucker, Joseph D. Wee Kim Wee School of Communication and Information Social sciences::Communication Crowdsourcing Global Health Research mentoring programs are limited in many low- and middle-income countries (LMICs). The TDR Global initiated a global crowdsourcing open call soliciting proposals on how to improve research mentorship in LMICs. The purpose of this study is to examine ideas submitted to this open call to identify the ways to improve research mentorship in LMICs. Open calls have a group of individuals solve all or part of a problem and then share solutions. A WHO/TDR/SESH crowdsourcing guide was used to structure the open call. Each submission was judged by three independent individuals on a 1-10 scale. Textual submissions were extracted from eligible proposals and qualitatively analyzed via inductive and deductive coding techniques to identify themes. The open call received 123 submissions from 40 countries in Asia (49), Africa (38), Latin America (26), and Europe (10). Among all participants, 108 (87%) had research experience. A total of 21 submissions received a mean score of 7/10 or higher. Our thematic analysis identified three overarching themes related to prementoring, facilitation, and evaluation. Prementoring establishes mentor-mentee compatibility to lay foundations for mentorship. Facilitation involves iterative cycles of planning, communication, and skill improvement. Evaluation creates commitment and accountability within a framework of monitoring. This global crowdsourcing open call generated numerous mentorship ideas, including LMIC-contextualized facilitation tools. The open call demonstrates a need for greater focus on mentorship. Our data may inform the development of formal and informal mentoring programs in LMIC settings. Published version This study received support from the Special Programme for Research and Training in Tropical Diseases (TDR) and the US NIH (NIAID K24AI143471). 2022-08-29T07:53:46Z 2022-08-29T07:53:46Z 2022 Journal Article Oppong, E., Bao, H., Tang, W., Mejia, M. I. E., Glozah, F., Asanga, N., Boinett, C. J., Aguilar, A. M., Valido, E., Lestari, T. & Tucker, J. D. (2022). A global crowdsourcing open call to improve research mentorship in low- and middle-income countries: a mixed methods analysis. American Journal of Tropical Medicine and Hygiene, 106(1), 250-256. https://dx.doi.org/10.4269/ajtmh.21-0607 0002-9637 https://hdl.handle.net/10356/161364 10.4269/ajtmh.21-0607 34662869 2-s2.0-85123455890 1 106 250 256 en American Journal of Tropical Medicine and Hygiene © 2022 The American Society of Tropical Medicine and Hygiene. All rights reserved. This paper was published in American Journal of Tropical Medicine and Hygiene and is made available with permission of The American Society of Tropical Medicine and Hygiene. application/pdf |
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Social sciences::Communication Crowdsourcing Global Health Oppong, Emmanuela Bao, Huanyu Tang, Weiming Mejia, María I. Echavarria Glozah, Franklin Asanga, Nsisong Boinett, Christine J. Aguilar, Ana M. Valido, Ezra Lestari, Trisasi Tucker, Joseph D. A global crowdsourcing open call to improve research mentorship in low- and middle-income countries: a mixed methods analysis |
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Research mentoring programs are limited in many low- and middle-income countries (LMICs). The TDR Global initiated a global crowdsourcing open call soliciting proposals on how to improve research mentorship in LMICs. The purpose of this study is to examine ideas submitted to this open call to identify the ways to improve research mentorship in LMICs. Open calls have a group of individuals solve all or part of a problem and then share solutions. A WHO/TDR/SESH crowdsourcing guide was used to structure the open call. Each submission was judged by three independent individuals on a 1-10 scale. Textual submissions were extracted from eligible proposals and qualitatively analyzed via inductive and deductive coding techniques to identify themes. The open call received 123 submissions from 40 countries in Asia (49), Africa (38), Latin America (26), and Europe (10). Among all participants, 108 (87%) had research experience. A total of 21 submissions received a mean score of 7/10 or higher. Our thematic analysis identified three overarching themes related to prementoring, facilitation, and evaluation. Prementoring establishes mentor-mentee compatibility to lay foundations for mentorship. Facilitation involves iterative cycles of planning, communication, and skill improvement. Evaluation creates commitment and accountability within a framework of monitoring. This global crowdsourcing open call generated numerous mentorship ideas, including LMIC-contextualized facilitation tools. The open call demonstrates a need for greater focus on mentorship. Our data may inform the development of formal and informal mentoring programs in LMIC settings. |
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Wee Kim Wee School of Communication and Information |
author_facet |
Wee Kim Wee School of Communication and Information Oppong, Emmanuela Bao, Huanyu Tang, Weiming Mejia, María I. Echavarria Glozah, Franklin Asanga, Nsisong Boinett, Christine J. Aguilar, Ana M. Valido, Ezra Lestari, Trisasi Tucker, Joseph D. |
format |
Article |
author |
Oppong, Emmanuela Bao, Huanyu Tang, Weiming Mejia, María I. Echavarria Glozah, Franklin Asanga, Nsisong Boinett, Christine J. Aguilar, Ana M. Valido, Ezra Lestari, Trisasi Tucker, Joseph D. |
author_sort |
Oppong, Emmanuela |
title |
A global crowdsourcing open call to improve research mentorship in low- and middle-income countries: a mixed methods analysis |
title_short |
A global crowdsourcing open call to improve research mentorship in low- and middle-income countries: a mixed methods analysis |
title_full |
A global crowdsourcing open call to improve research mentorship in low- and middle-income countries: a mixed methods analysis |
title_fullStr |
A global crowdsourcing open call to improve research mentorship in low- and middle-income countries: a mixed methods analysis |
title_full_unstemmed |
A global crowdsourcing open call to improve research mentorship in low- and middle-income countries: a mixed methods analysis |
title_sort |
global crowdsourcing open call to improve research mentorship in low- and middle-income countries: a mixed methods analysis |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/161364 |
_version_ |
1759857021664886784 |