Randomized Controlled Study to Test the Effectiveness of Developmental Network Coaching in the Career Advancement of Diverse Early-Stage Investigators (ESIs): Implementation Challenges and Lessons Learned

<b>Introduction:</b> Adding developmental networks (DN) to grant-writing coaching can significantly enhance ESIs’ research careers. Herein, we present study design, ESIs’ characteristics and encountered challenges/lessons learned and their resolutions when deploying/implementing (a) NCR...

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Autores principales: Mohamed Mubasher, Kimberly Lawson, Priscilla Pemu, Thomas Pearson, Jeffrey Engler, Adriana Baez, Jonathan K. Stiles, Maritza S. Salazar, Lee S. Caplan, Keith Green, Meldra Hall, Muhammed Y. Idris, Ernest Alema-Mensah, Yulia A. Levites Strekalova, Winston E. Thompson, Alexander Quarshie, Elizabeth Ofili
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:bc94a4346c434debbbd1bb1776c138382021-11-25T17:50:15ZRandomized Controlled Study to Test the Effectiveness of Developmental Network Coaching in the Career Advancement of Diverse Early-Stage Investigators (ESIs): Implementation Challenges and Lessons Learned10.3390/ijerph1822120031660-46011661-7827https://doaj.org/article/bc94a4346c434debbbd1bb1776c138382021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/12003https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601<b>Introduction:</b> Adding developmental networks (DN) to grant-writing coaching can significantly enhance ESIs’ research careers. Herein, we present study design, ESIs’ characteristics and encountered challenges/lessons learned and their resolutions when deploying/implementing (a) NCR algorithm(s), (b) recruitment/retention and (c) implementing DN intervention. <b>Methods:</b> Nested Cluster Randomization (NCR) design governs this study implementation. The sample size is 220 ESIs intending to submit an NIH K, R, U, and/or Minority Supplement application(s). Primary outcome: intensity/sustainability of grant submission(s)/funding(s), measured by time to/between application(s). Outcome(s) analyses modes: summaries, Kaplan Meir and Cox proportional hazard models as a function of randomization groups and other predictors of outcomes. <b>Results:</b> In the present study, we recruited two cohorts of ESIs (N = 85): 39% African Americans, 18% Latinx, 18% Whites, 20% Asians and 6% Hawaiian/Pacific Islander/other ethnicities; 65% are women; 73% are assistant professors, 4% are Associate Professors and 23% are instructors/scientists/post-doctoral. Participants’ disciplines: 32% basic/biomedical, 36% clinical/translational and 32% social/behavioral. Proposal(s) mechanisms: 61% research grants (R series), 31% career development (K series), 7% support of competitive research (SCORE) and 1% National Science Foundation applications. NCR did produce balance in the distribution of ESIs’ demographics, sex at birth, ethnicity, professional appointments, background disciplines, and mechanism of sought funding. <b>Lessons learned/challenges:</b> NCR implementation was methodologically challenged during implementation by added constraints (e.g., assigning coaches to the same randomization arm of their participants as well as blinding them to ESIs’ randomization group). Recruitment and retention were hampered by the COVID-19 pandemic and more progressive and innovative strategies were needed to heighten the visibility and outreach of this program. DN delivery was also affected by the pandemic and monitoring of ESIs’ engagement and facilitation of communications interventions were needed. Resolution of these challenges effectively reconfigured NCR algorithms, recruitment/retention plans, and DN intervention delivery. We intend to recruit an additional 135 ESIs focusing on underrepresented scholars from RCMIs, CTSAs, and other programs. COVID-19 rendered this program 100% virtual, with recruitment/retention challenges and substantial disruption of ESIs’ research. We may extend the grant writing period, coaching, and Mock Study Section support.Mohamed MubasherKimberly LawsonPriscilla PemuThomas PearsonJeffrey EnglerAdriana BaezJonathan K. StilesMaritza S. SalazarLee S. CaplanKeith GreenMeldra HallMuhammed Y. IdrisErnest Alema-MensahYulia A. Levites StrekalovaWinston E. ThompsonAlexander QuarshieElizabeth OfiliMDPI AGarticlediversityearly-stage investigatorscareer developmentnested cluster randomizationmentorshipdevelopmental networksMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 12003, p 12003 (2021)
institution DOAJ
collection DOAJ
language EN
topic diversity
early-stage investigators
career development
nested cluster randomization
mentorship
developmental networks
Medicine
R
spellingShingle diversity
early-stage investigators
career development
nested cluster randomization
mentorship
developmental networks
Medicine
R
Mohamed Mubasher
Kimberly Lawson
Priscilla Pemu
Thomas Pearson
Jeffrey Engler
Adriana Baez
Jonathan K. Stiles
Maritza S. Salazar
Lee S. Caplan
Keith Green
Meldra Hall
Muhammed Y. Idris
Ernest Alema-Mensah
Yulia A. Levites Strekalova
Winston E. Thompson
Alexander Quarshie
Elizabeth Ofili
Randomized Controlled Study to Test the Effectiveness of Developmental Network Coaching in the Career Advancement of Diverse Early-Stage Investigators (ESIs): Implementation Challenges and Lessons Learned
description <b>Introduction:</b> Adding developmental networks (DN) to grant-writing coaching can significantly enhance ESIs’ research careers. Herein, we present study design, ESIs’ characteristics and encountered challenges/lessons learned and their resolutions when deploying/implementing (a) NCR algorithm(s), (b) recruitment/retention and (c) implementing DN intervention. <b>Methods:</b> Nested Cluster Randomization (NCR) design governs this study implementation. The sample size is 220 ESIs intending to submit an NIH K, R, U, and/or Minority Supplement application(s). Primary outcome: intensity/sustainability of grant submission(s)/funding(s), measured by time to/between application(s). Outcome(s) analyses modes: summaries, Kaplan Meir and Cox proportional hazard models as a function of randomization groups and other predictors of outcomes. <b>Results:</b> In the present study, we recruited two cohorts of ESIs (N = 85): 39% African Americans, 18% Latinx, 18% Whites, 20% Asians and 6% Hawaiian/Pacific Islander/other ethnicities; 65% are women; 73% are assistant professors, 4% are Associate Professors and 23% are instructors/scientists/post-doctoral. Participants’ disciplines: 32% basic/biomedical, 36% clinical/translational and 32% social/behavioral. Proposal(s) mechanisms: 61% research grants (R series), 31% career development (K series), 7% support of competitive research (SCORE) and 1% National Science Foundation applications. NCR did produce balance in the distribution of ESIs’ demographics, sex at birth, ethnicity, professional appointments, background disciplines, and mechanism of sought funding. <b>Lessons learned/challenges:</b> NCR implementation was methodologically challenged during implementation by added constraints (e.g., assigning coaches to the same randomization arm of their participants as well as blinding them to ESIs’ randomization group). Recruitment and retention were hampered by the COVID-19 pandemic and more progressive and innovative strategies were needed to heighten the visibility and outreach of this program. DN delivery was also affected by the pandemic and monitoring of ESIs’ engagement and facilitation of communications interventions were needed. Resolution of these challenges effectively reconfigured NCR algorithms, recruitment/retention plans, and DN intervention delivery. We intend to recruit an additional 135 ESIs focusing on underrepresented scholars from RCMIs, CTSAs, and other programs. COVID-19 rendered this program 100% virtual, with recruitment/retention challenges and substantial disruption of ESIs’ research. We may extend the grant writing period, coaching, and Mock Study Section support.
format article
author Mohamed Mubasher
Kimberly Lawson
Priscilla Pemu
Thomas Pearson
Jeffrey Engler
Adriana Baez
Jonathan K. Stiles
Maritza S. Salazar
Lee S. Caplan
Keith Green
Meldra Hall
Muhammed Y. Idris
Ernest Alema-Mensah
Yulia A. Levites Strekalova
Winston E. Thompson
Alexander Quarshie
Elizabeth Ofili
author_facet Mohamed Mubasher
Kimberly Lawson
Priscilla Pemu
Thomas Pearson
Jeffrey Engler
Adriana Baez
Jonathan K. Stiles
Maritza S. Salazar
Lee S. Caplan
Keith Green
Meldra Hall
Muhammed Y. Idris
Ernest Alema-Mensah
Yulia A. Levites Strekalova
Winston E. Thompson
Alexander Quarshie
Elizabeth Ofili
author_sort Mohamed Mubasher
title Randomized Controlled Study to Test the Effectiveness of Developmental Network Coaching in the Career Advancement of Diverse Early-Stage Investigators (ESIs): Implementation Challenges and Lessons Learned
title_short Randomized Controlled Study to Test the Effectiveness of Developmental Network Coaching in the Career Advancement of Diverse Early-Stage Investigators (ESIs): Implementation Challenges and Lessons Learned
title_full Randomized Controlled Study to Test the Effectiveness of Developmental Network Coaching in the Career Advancement of Diverse Early-Stage Investigators (ESIs): Implementation Challenges and Lessons Learned
title_fullStr Randomized Controlled Study to Test the Effectiveness of Developmental Network Coaching in the Career Advancement of Diverse Early-Stage Investigators (ESIs): Implementation Challenges and Lessons Learned
title_full_unstemmed Randomized Controlled Study to Test the Effectiveness of Developmental Network Coaching in the Career Advancement of Diverse Early-Stage Investigators (ESIs): Implementation Challenges and Lessons Learned
title_sort randomized controlled study to test the effectiveness of developmental network coaching in the career advancement of diverse early-stage investigators (esis): implementation challenges and lessons learned
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/bc94a4346c434debbbd1bb1776c13838
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