The lack of racial and ethnic diversity in the biomedical research workforce and the disproportionate rate at which researchers from underrepresented groups in the biomedical sciences leave research positions are well-documented [Reference McGee, Saran and Krulwich1,2]. Researchers from groups underrepresented in academic medicine encounter more obstacles (i.e., high demand of clinical duties, promotional disparities, and social isolation) in their work environments compared to their well-represented counterparts [Reference Rodríguez, Campbell and Pololi3,Reference Childs, Yoloye, Bhasin, Benjamin and Assoumou4], and regularly face racism and discrimination in the workplace [Reference Rodríguez, Campbell and Pololi3].
Faculty from underrepresented groups are also slower to progress in their career [Reference Johnson, Mitchinson, Parmar, Opio-te, Serrant and Grange5]. For example, underrepresented faculty midwives and nurses work in early-career-level positions (i.e., assistant professor) for approximately 6 years, almost three years longer than White faculty midwives and nurses [Reference Johnson, Mitchinson, Parmar, Opio-te, Serrant and Grange5]. Existing literature emphasizes the need for interventions tailored toward employees from groups underrepresented in science-related fields to improve career progression [Reference Johnson, Mitchinson, Parmar, Opio-te, Serrant and Grange5]; however, factors associated with career advancement among researchers from underrepresented groups are unclear. It is important to identify factors associated with career commitment and self-efficacy in career advancement among groups underrepresented in biomedical research to develop effective methods to increase retention of these researchers. Prior research shows that mentoring and engaging in positive identity work are key to supporting positive career outcomes for underrepresented groups [Reference Murrell and Onosu6]. Therefore, we aimed to identify factors associated with self-efficacy in career advancement and career commitment among post-doctoral fellows and early-career faculty who are from groups underrepresented in biomedical sciences.
Methods
Design and participants
This manuscript describes pre-intervention data (collected via REDCap in September and October 2020) from both intervention arms of the Building Up trial. Building Up was a cluster-randomized trial that took place at 25 academic institutions (Supplemental Figure 1) throughout the United States. It aimed to evaluate the effectiveness of an intervention on research success of 224 post-doctoral fellows and early-career faculty from groups underrepresented in the biomedical sciences [7,Reference White, Proulx, Morone, Murrell and Rubio8]. According to the National Institutes of Health, people who are underrepresented in science include individuals from racial or ethnic groups identified as underrepresented in biomedical sciences, individuals with disabilities, and individuals from disadvantaged backgrounds [9,10]. The trial had two intervention arms that lasted 10 months; each intervention arm consisted of four components: monthly sessions, mentoring, networking, and coursework [Reference White, Proulx, Morone, Murrell and Rubio11]. All participants were given the opportunity to attend monthly leadership webinars [Reference White, Proulx, Morone, Murrell and Rubio11]. Participants in the “high touch” intervention arm participated in monthly meetings with study-assigned near-peer mentors and fellow participants to discuss the hidden curriculum in academia; experienced intervention-provided near-peer mentoring; participated in networking opportunities through an orientation and poster sessions; and completed coursework in grant and scientific writing [Reference White, Proulx, Morone, Murrell and Rubio11]. Participants in the “low touch” intervention experienced mentoring, networking, and coursework as provided by their institution or usual care [Reference White, Proulx, Morone, Murrell and Rubio11]. In other words, participants in the “low touch” intervention arm had to seek these opportunities on their own as they were not provided in this intervention arm.
A single Institutional Review Board at the University of Pittsburgh approved the protocol. Participants provided informed consent electronically. Recruitment for Building Up first occurred at the institutional level in which institutions were approached to be a part of the trial [Reference White, Proulx, Morone, Murrell and Rubio11]. After institutions agreed to participate in Building Up, each institution was responsible for recruiting underrepresented post-doctoral fellows and early-career faculty members at their own institution [Reference White, Proulx, Morone, Murrell and Rubio11]. The study statistician used block randomization to randomize institutions to receive either the high- or low-touch intervention. Institutions were included in the Building Up study if they successfully recruited between 3 and 12 participants.
Demographic measures
Participants were asked to report their gender, race, ethnicity, highest degree achieved, and career stage. Race and ethnicity category response options are described in Supplemental Table 1 [Reference Maccalla, Gutierrez, Zhong, Wallace and McCreath12]. “Other” highest degree achieved included MD/PhD, PharmD, PsyD, DDS/DMD, DVM, or other. Participants were asked to identify their primary mentor and the mentor’s title prior to the start of the trial.
Science identity
Science identity is the extent to which one views themselves as a “scientist” and therefore acts as such [Reference Stets, Brenner, Burke and Serpe13]. Science identity was assessed using a validated 5-item questionnaire measuring how much participants think being a scientist is part of their personal identity [Reference Estrada, Woodcock, Hernandez and Schultz14]. Questions included: “I have a strong sense of belonging to the community of scientists,” “I derive great personal satisfaction from working on a team that is doing important research,” “I have come to think of myself as a ’scientist’,” “I feel like I belong in the field of science,” and “The daily work of a scientist is appealing to me [Reference Estrada, Woodcock, Hernandez and Schultz14].” Participants rated each item using a 5-point Likert scale ranging from 1 (“strongly disagree”) to 5 (“strongly agree”). Responses were summed and averaged for a total science identity score, with higher scores indicating higher science identity.
Mentoring competency assessment
Participants were asked to rate the competency of their mentor in six domains: maintenance of effective communication, alignment of expectations, assessment of understanding, ability to foster independence, ability to address diversity, and promotion of professional development [Reference Fleming, House and Hanson15]. Participants rated each prompt using a 7-point Likert scale ranging from 1 (“not at all”) to 7 (“extremely skilled”). Scores were averaged for a total competency score in each domain [Reference Fleming, House and Hanson15]. The six domains are described in detail in Supplemental Table 2.
Self-efficacy in career advancement
Participants completed the C-Change Faculty Survey Dimensions of the Culture scale, to assess self-efficacy in career advancement [Reference Pololi, Krupat, Civian, Ash and Brennan16]. This scale includes three measures assessing the belief that advancement is open to them, confidence in career progression, and confidence in overcoming professional barriers.
Career commitment
Career commitment was measured via two components: intent to continue training to conduct research and intent to continue to study biomedical research [Reference Luchini-Colbry, Wawrzynski and Shannahan17]. Participants were asked to rate their likelihood of continuing research training and likelihood of continuing to study in a field related to biomedical sciences. Participants rated each item using a 5-point Likert scale ranging from 1 (“definitely will not”) to 5 (“definitely will”). Due to the small number of participants in each group, we collapsed response options for each question into two categories. Individuals who answered “definitely will” and “likely will” were defined as having career commitment (i.e., yes). Individuals who answered “will or will not,” “likely will not,” and “definitely will not” were defined as not having career commitment (i.e., no).
Statistical analysis
We used SAS version 9.4 (SAS Institute, Cary, NC, USA) for all analyses. Reported p-values are two-tailed; p-values<0.05 were deemed statistically significant. We did not control for multiple comparisons as this was an exploratory analysis [Reference Althouse18].
Participant characteristics are reported as medians and 25th and 75th percentiles for continuous data and frequencies and percentages for categorical data.
Separate unadjusted multinomial logistic regression models were conducted to determine associations of each demographic or other characteristic (i.e., science identity and mentoring competency) with each measure of self-efficacy in career advancement. Separate unadjusted logistic regression models were conducted to determine associations of each demographic or other characteristic with each measure of career commitment.
Adjusted multinomial logistic regression was used to identify demographic and other characteristics that were independently associated with feeling as if advancement was open to them. Adjusted multinomial logistic regression was then repeated with confidence in career progression and confidence in overcoming professional barriers as outcome variables in separate models. Adjusted logistic regression was used to identify demographic and other characteristics that were independently associated with both career commitment measures. Variables that were included in each model are summarized in Supplemental Table 3. Variables were entered into single multivariable models with adjustment for gender and race/ethnicity (which were forced into the models because race and gender identity are associated with retention in the biomedical sciences [Reference Gibbs, McGready, Bennett and Griffin19]) and retained via backward stepwise elimination if p < 0.10. Due to small sample sizes across response strata, career commitment measures were not included as independent variables in the unadjusted or adjusted multinomial logistic regression models where confidence in career progression or confidence in overcoming professional barriers were the dependent variable [Reference Craney and Surles20].
Results
Cohort characteristics
Two hundred and nineteen individuals (98%) completed the pre-intervention survey and were included in the analyses (Fig. 1). Characteristics of the cohort are summarized in Table 1. Eighty percent of the cohort identified as female, 34% identified as Hispanic/Latinx, 33% identified as non-Hispanic/Latinx Black, 59% had a PhD, and 53% were early-career faculty. No Building Up participants endorsed American Indian, Alaska Native, Native Hawaiian, or Other Pacific Islander as the only racial category that best described them. Fifteen participants identified as multiracial and two as Middle Eastern or North African. The median science identity score was 4.0. The median mentoring competency score was 4.8. Nearly 13% of individuals strongly agreed that advancement was open to them. Nineteen percent of participants strongly agreed that they were confident in their career progression and 16% strongly agreed that they were confident in overcoming professional barriers. Fifty-five percent of individuals answered that they definitely will continue research training and 63% answered that they definitely will continue studying in a field related to the biomedical sciences. Sixty-nine percent of participant mentors were professors, 23% were associate professors, 7% were assistant professors, and 1% did not have an academic appointment.
Institution and participant flow diagram for the Building Up a Diverse Biomedical Research Workforce trial.
Characteristics of underrepresented post-doctoral fellows and early-career faculty, Building Up a Diverse Biomedical Research Workforce trial
a Unless otherwise specified. The number of participants across categories may not sum to the total due to missing data.
Self-efficacy in career advancement
Unadjusted associations between characteristics of the cohort and self-efficacy in career advancement outcomes are summarized in Supplemental Tables 4-5.
In adjusted models, those with a mentor that addressed diversity had higher odds of [OR: 1.69, 95% CI: (1.34, 2.13); p < .001] believing that advancement was open to them (Table 2). Having a higher science identity score [OR: 4.02 per 1 point higher, 95% CI: (1.73, 9.31); p = 0.001] and a mentor that fostered independence [OR: 1.78, 95% CI: (1.20, 2.63); p = 0.02] were independently associated with confidence in career progression (Table 3). A higher science identity score [OR: 2.32 per 1 point higher, 95% CI: (1.00, 5.36); p = 0.01] was independently associated with stronger confidence in overcoming professional barriers (Table 3).
Adjusted associations between characteristics of underrepresented post-doctoral fellows and early-career faculty and belief that advancement is open to them
AOR = adjusted odds ratio.
a Response options are listed in Supplemental Table 2.
b Gender and race/ethnicity forced in the model.
Adjusted associations between characteristics of underrepresented post-doctoral fellows and early-career faculty, confidence in career progression, and confidence in overcoming professional barriers
AOR = adjusted odds ratio.
a Response options are listed in Supplemental Table 2.
b Gender and race/ethnicity forced in the model.
Career commitment
Unadjusted associations between characteristics of the cohort and career commitment outcomes are summarized in Supplemental Table 6.
Higher age [OR: 2.29 per every 5-year increase, 95% CI: (1.22, 4.31); p = 0.01] and having a higher science identity score [OR: 4.20 per 1 point higher, 95% CI: (1.95, 9.04); p < .001] were independently associated with intent to continue research training. Having a mentor that maintained effective communication [OR: 0.37, 95% CI: (0.15, 0.92); p = 0.03] and assessed understanding [OR: 0.48, 95% CI: (0.24, 0.95); p = 0.04] were independently associated with a lower likelihood of continuing research training (Table 4). Higher science identity score [OR: 3.28 per 1 point higher, 95% CI: (1.80, 5.96); p < .001] was independently associated with intent to continue studying in a field related to the biomedical sciences (Table 4).
Adjusted associations between characteristics of underrepresented post-doctoral fellows and early-career faculty and career commitment
AOR = adjusted odds ratio.
a Response options are listed in Supplemental Table 2.
b Gender and race/ethnicity forced in the model.
Discussion
We found that stronger science identity was significantly associated with self-efficacy in career advancement and career commitment among post-doctoral fellows and early-career faculty from underrepresented groups. We also found that mentorship that addressed diversity and fostered independence was significantly associated with self-efficacy in career advancement among post-doctoral fellows and early-career faculty from underrepresented groups. These are consistent with previous findings that show that mentor mindset (e.g., addressing diversity, understanding, and facilitating identity work) has a significant effect on the self-efficacy and work engagement of mentees [Reference Yin21].
Our findings indicate that mentoring that addresses diversity is associated with self-efficacy in career advancement in this cohort. Mentoring that addresses diversity may inspire and build confidence among underrepresented mentees, prioritize exposing underrepresented mentees to individuals from underrepresented groups in leadership positions, and allow for important identity-related work to take place within the mentoring relationship. Findings in undergraduate programs show that mentors taught to address diversity are more sensitive in how they approach race/ethnicity-related topics and more likely to create safe spaces for mentees to speak about these topics [Reference Byars-Winston, Rogers, Thayer-Hart, Black, Branchaw and Pfund22]. Prior research shows that diverse mentoring teams for faculty from groups underrepresented in medicine improve career progression and ability to overcome obstacles in career advancement [Reference Rodríguez, Campbell and Pololi3]. Our findings also support research that shows that underrepresented faculty members and post-doctoral fellows believe that universal access to diverse mentorship would expedite their career progression and ability to advance at their institution [Reference Mahoney, Wilson, Odom, Flowers and Adler23]. Unfortunately, we did not collect information on the specific ways in which mentors addressed diversity. Future research should identify specific aspects of addressing diversity in mentoring relationships that are associated with self-efficacy in career advancement among underrepresented post-doctoral fellows and early-career faculty.
Science identity was associated with self-efficacy in career advancement and career commitment. Previous literature shows that identity development takes place via “transformative learning”—a process in which individuals must shed parts of their original identity to redefine or grow their identity [Reference Illeris24]. A stronger sense of science identity can only be achieved through the process of transformative learning [Reference Illeris24]. What triggers transformative learning and identity development in researchers from underrepresented backgrounds is still not well understood. Previous literature suggests that peer mentorship plays a significant role in identity development, including science identity, in mentees from underrepresented groups [Reference Murrell, Blake-Beard and Porter25]. The role that formal mentoring teams play in identity development is still unclear, although some research suggests a relationship between mentoring as identity work and positive career outcomes [Reference Murrell and Onosu6]. Future research should investigate the impact of mentorship on science identity development among early-career researchers from underrepresented groups. In particular, stronger science identity in mentors may be associated with stronger science identity among underrepresented mentees. Understanding these relationships better will help future development of interventions to increase self-efficacy in career advancement among and retention of underrepresented post-doctoral fellows and early-career faculty in the biomedical research workforce.
Nearly all participants in this study were committed to continuing research training. This is not surprising considering our previous research showing that underrepresented post-doctoral fellows and early-career faculty have high levels of grit [Reference Thakar, Mitchell-Miland and Morone26]. Grit, which consists of perseverance and consistency of interest, has been shown to positively impact career success and goal achievement [Reference Duckworth27]. The more grit an individual has, the more likely they are to pursue career goals and achieve career success [Reference Duckworth27]. Our cohort is “very gritty [Reference Thakar, Mitchell-Miland and Morone26],” which may explain why no one in this cohort indicated that they definitely will not continue training to conduct research. Although this cohort has a high level of grit [Reference Thakar, Mitchell-Miland and Morone26], individuals from underrepresented backgrounds face systemic discrimination, lack of representation in the biomedical workforce, and stereotypes [Reference Gibbs and Griffin28,Reference Ceci, Williams and Barnett29]. Although these obstacles can negatively impact career commitment, in our cohort, a small percentage of individuals “strongly agreed” that they were confident in their ability to progress in their career (19%) or overcome professional barriers (16%), and most participants were committed to continuing research training and studying in a field related to biomedical science.
Our data were collected during the COVID-19 pandemic and Racial Justice Movement; therefore, our results are difficult to compare to previous findings. The psychological distress that underrepresented post-doctoral and early-career faculty faced during this time was likely escalated and may have negatively impacted their self-efficacy in career advancement and career commitment, especially because a sizable minority of underrepresented post-doctoral fellows and early-career faculty reported lower research productivity [Reference White, Proulx and Rubio30]. Furthermore, since this was a cross-sectional analysis, we could not assess causal associations. The cohort was also majority female, which limits the generalizability of our findings because our sample is not representative of underrepresented researchers across the nation. Additionally, gender differences in levels of science identity and self-efficacy in career advancement may have impacted our results [Reference Carlin, Gelb, Belinne and Ramchand31]. Our study explores the effects of individual characteristics on career progression among underrepresented researchers without taking into account institutional-level characteristics that likely impact career progression among underrepresented post-doctoral fellows and early-career faculty. The role of institutional climate and inclusivity on self-efficacy of career advancement and career commitment should be further explored. Lastly, we collected very limited data about participants’ mentors. Our results show that mentor identity is important to consider when investigating mentees from underrepresented groups.
Our study adds to current literature that assesses factors associated with self-efficacy in career advancement and career commitment among post-doctoral fellows and early-career researchers from groups underrepresented in biomedical sciences. The cohort includes a large number of underrepresented post-doctoral fellows and early-career faculty from 25 different academic institutions across the United States participating in the Building Up trial. Because institutions support diversity at different levels, it is possible that self-efficacy of career advancement and career commitment varied by institution. We did not analyze self-efficacy of career advancement or career commitment by institution as this was not a pre-specified aim of this study and we were underpowered to do so.
Conclusions
In this study, we found that mentorship and science identity are significantly associated with self-efficacy in career advancement and career commitment among post-doctoral fellows and early-career faculty from underrepresented groups. These data can be used to develop effective interventions to retain and support the career progression of researchers underrepresented in the biomedical sciences.
Supplementary material
The supplementary material for this article can be found at https://doi.org/10.1017/cts.2024.504.
Acknowledgments
We thank the primary investigators and near-peer mentors at participating institutions for their recruitment efforts and continued support. The authors also express gratitude to the post-doctoral fellows and early-career faculty participants who participated in this study.
Author contributions
M.T. helped develop the idea for the manuscript, completed the analyses, wrote the initial and revised drafts of the manuscript, and was responsible for submitting the manuscript to JCTS. M.T. takes responsibility for the manuscript as a whole. D.R., A.M., and N.M. are the principal investigators for the study used in this manuscript. They all provided feedback on the manuscript prior to both submissions to JCTS and contributed to the discussion section of the manuscript prior to the initial submission. C.M. provided feedback on the manuscript prior to the initial submission and resubmission. G.W. worked with the first author to develop the manuscript idea, directed the development of the analysis plan, advised the first author during manuscript development, and provided detailed feedback on the manuscript prior to submission and resubmission.
Funding statement
This study was funded by the National Institute of General Medical Sciences; Grant number: U01-GM-132133 and Clinical and Translational Sciences Institute at the University of Pittsburgh; Grant number: UL1-TR-001857.
Competing interests
None.
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