Building a Diverse Workforce and Thinkforce to Reduce Health Disparities

Mentoring Networks in Academic Medicine: A Longitudinal Exploration

The importance of ethnic and gender representation in academic medicine is of paramount importance. While mentoring effectively attracts and retains underrepresented individuals, scientists from underrepresented groups face barriers to high-quality mentorship. The developmental network model by Higgins and Kram suggests that a variety of people with unique knowledge, connections, and resources can help propel an individual's career and personal growth. This study experimentally tested the outcomes of a workshop series and mentorship program to assist early-career biomedical investigators from predominantly minority institutions establish and maintain developmental networks. This study provides preliminary insights into the characteristics of these developmental networks for investigators with different funding goals and how these networks evolve, potentially impacting career trajectories.

Individual and Institutional Factors Contribute to Research Capacity Building for Early-Stage Investigators from Groups Underrepresented in Biomedical Research: A Qualitative Comparative Analysis

BACKGROUND

Enhancement of diversity within the U.S. research workforce is a recognized need and priority at a national level. Existing comprehensive programs, such as the National Research Mentoring Network (NRMN) and Research Centers in Minority Institutions (RCMI), have the dual focus of building institutional research capacity and promoting investigator self-efficacy through mentoring and training.

METHODS

A qualitative comparative analysis was used to identify the combination of factors that explain the success and failure to submit a grant proposal by investigators underrepresented in biomedical research from the RCMI and non-RCMI institutions. The records of 211 participants enrolled in the NRMN Strategic Empowerment Tailored for Health Equity Investigators (NRMN-SETH) program were reviewed, and data for 79 early-stage, underrepresented faculty investigators from RCMI (n = 23) and non-RCMI (n = 56) institutions were included.

RESULTS

Institutional membership (RCMI vs. non-RCMI) was used as a possible predictive factor and emerged as a contributing factor for all of the analyses. Access to local mentors was predictive of a successful grant submission for RCMI investigators, while underrepresented investigators at non-RCMI institutions who succeeded with submitting grants still lacked access to local mentors.

CONCLUSION

Institutional contexts contribute to the grant writing experiences of investigators underrepresented in biomedical research.

Health Disparities Investigator Development through a Team-Science Pilot Projects Program

Profound health disparities are widespread among Native Hawaiians, other Pacific Islanders, and Filipinos in Hawai'i. Efforts to reduce and eliminate health disparities are limited by a shortage of investigators trained in addressing the genetic, socio economic, and environmental factors that contribute to disparities. In this conference proceedings report from the 2022 RCMI Consortium National Conference, we describe our mentoring program, with an emphasis on community-engaged research. Elements include our encouragement of a team-science, customized Pilot Projects Program (PPP), a Mentoring Bootcamp, and a mentoring support network. During 2017-2022, we received 102 PPP preproposals. Of these, 45 (48%) were invited to submit full proposals, and 22 (19%) were awarded (8 basic biomedical, 7 clinical, 7 behavioral). Eighty-three percent of awards were made to early-career faculty (31% ethnic minority, 72% women). These 22 awards generated 77 related publications; 84 new grants were submitted, of which 31 were awarded with a resultant return on investment of 5.9. From 5 to 11 investigators were supported by PPP awards each year. A robust usage of core services was observed. Our descriptive report (as part of a scientific conference session on RCMI specialized centers) focuses on a mentoring vehicle and shows how it can support early-stage investigators in pursuing careers in health disparities research.

A Case Study of Enhancing the Data Science Capacity of an RCMI Program at a Historically Black Medical College

As data grows exponentially across diverse fields, the ability to effectively leverage big data has become increasingly crucial. In the field of data science, however, minority groups, including African Americans, are significantly underrepresented. With the strategic role of minority-serving institutions to enhance diversity in the data science workforce and apply data science to health disparities, the National Institute for Minority Health Disparities (NIMHD) provided funding in September 2021 to six Research Centers in Minority Institutions (RCMI) to improve their data science capacity and foster collaborations with data scientists. Meharry Medical College (MMC), a historically Black College/University (HBCU), was among the six awardees. This paper summarizes the NIMHD-funded efforts at MMC, which include offering mini-grants to collaborative research groups, surveys to understand the needs of the community to guide project implementation, and data science training to enhance the data analytics skills of the RCMI investigators, staff, medical residents, and graduate students. This study is innovative as it addressed the urgent need to enhance the data science capacity of the RCMI program at MMC, build a diverse data science workforce, and develop collaborations between the RCMI and MMC's newly established School of Applied Computational Science. This paper presents the progress of this NIMHD-funded project, which clearly shows its positive impact on the local community.

Summary of Year-One Effort of the RCMI Consortium to Enhance Research Capacity and Diversity with Data Science

Despite being disproportionately impacted by health disparities, Black, Hispanic, Indigenous, and other underrepresented populations account for a significant minority of graduates in biomedical data science-related disciplines. Given their commitment to educating underrepresented students and trainees, minority serving institutions (MSIs) can play a significant role in enhancing diversity in the biomedical data science workforce. Little has been published about the reach, curricular breadth, and best practices for delivering these data science training programs. The purpose of this paper is to summarize six Research Centers in Minority Institutions (RCMIs) awarded funding from the National Institute of Minority Health Disparities (NIMHD) to develop new data science training programs. A cross-sectional survey was conducted to better understand the demographics of learners served, curricular topics covered, methods of instruction and assessment, challenges, and recommendations by program directors. Programs demonstrated overall success in reach and curricular diversity, serving a broad range of students and faculty, while also covering a broad range of topics. The main challenges highlighted were a lack of resources and infrastructure and teaching learners with varying levels of experience and knowledge. Further investments in MSIs are needed to sustain training efforts and develop pathways for diversifying the biomedical data science workforce.