Mubasher Mohamed, Lawson Kimberly, Pemu Priscilla, Pearson Thomas, Engler Jeffrey, Baez Adriana, Stiles Jonathan K, Salazar Maritza S, Caplan Lee S, Green Keith, Hall Meldra, Idris Muhammed Y, Alema-Mensah Ernest, Strekalova Yulia A Levites, Thompson Winston E, Quarshie Alexander, Ofili Elizabeth
Clinical Research Center, Morehouse School of Medicine, Atlanta, GA 30310, USA.
College of Public Health and Health Professions, University of Florida Gainesville, Gainesville, FL 32611, USA.
Int J Environ Res Public Health. 2021 Nov 16;18(22):12003. doi: 10.3390/ijerph182212003.
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. 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. 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. 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.
在科研基金申请书撰写指导中加入发展网络(DN)可以显著提升早期科研人员(ESI)的研究事业。在此,我们介绍研究设计、ESI的特征以及在部署/实施(a)嵌套聚类随机化(NCR)算法、(b)招募/留存以及(c)实施DN干预时遇到的挑战/经验教训及其解决方案。本研究的实施采用嵌套聚类随机化(NCR)设计。样本量为220名打算提交美国国立卫生研究院(NIH)K、R、U和/或少数族裔补充申请的ESI。主要结果:科研基金申请/资助的强度/可持续性,通过申请时间/申请间隔来衡量。结果分析模式:汇总分析、Kaplan Meir分析以及Cox比例风险模型,作为随机分组和其他结果预测因素的函数。在本研究中,我们招募了两组ESI(N = 85):39%为非裔美国人,18%为拉丁裔,18%为白人,20%为亚洲人,6%为夏威夷/太平洋岛民/其他种族;65%为女性;73%为助理教授,4%为副教授,23%为讲师/科学家/博士后。参与者的学科领域:32%为基础/生物医学,36%为临床/转化医学,32%为社会/行为学。申请机制:61%为研究基金(R系列),31%为职业发展(K系列),7%为竞争性研究支持(SCORE),1%为美国国家科学基金会申请。NCR确实在ESI的人口统计学特征、出生性别、种族、专业职位、背景学科以及所寻求资助的机制分布上实现了平衡。在实施过程中,NCR的实施在方法上受到了额外限制的挑战(例如,将指导教师分配到与其参与者相同的随机分组中,并使他们对ESI的随机分组不知情)。招募和留存受到了新冠疫情的阻碍,需要更先进和创新的策略来提高该项目的知名度和覆盖面。DN的实施也受到了疫情的影响,需要对ESI的参与情况进行监测并促进沟通干预。这些挑战的解决有效地重新配置了NCR算法、招募/留存计划以及DN干预的实施。我们打算再招募135名ESI,重点关注来自RCMIs、CTSAs和其他项目中代表性不足的学者。新冠疫情使该项目完全虚拟化,带来了招募/留存方面的挑战,并严重扰乱了ESI的研究。我们可能会延长科研基金申请书撰写期、指导以及模拟研究小组支持。