Inter-institutional collaborations and partnerships play fundamental roles in developing and diversifying the basic biomedical, behavioral, and clinical research enterprise at resource-limited, minority-serving institutions. In conjunction with the Research Centers in Minority Institutions (RCMI) Program National Conference in Bethesda, Maryland, in December 2019, a special workshop was convened to summarize current practices and to explore future strategies to strengthen and sustain inter-institutional collaborations and partnerships with research-intensive majority-serving institutions. Representative examples of current inter-institutional collaborations at RCMI grantee institutions are presented. Practical approaches used to leverage institutional resources through collaborations and partnerships within regional and national network programs are summarized. Challenges and opportunities related to such collaborations are provided.

Minorities are underrepresented in health professions and efforts to recruit minority students into health careers are considered a way to reduce health disparities. There is little research about the effectiveness of these programs, other than satisfaction. This study aimed to measure program effects on student understanding of and interest in health careers. Students took a career interest inventory, completed a scale measuring their self-reported understanding and interest in health careers, and wrote essays about health careers before and after completing a 1 week on campus internship on health careers and after a 9 month follow up distance mentoring program where they continued to interact with university faculty by videoconference about career options. Changes in inventory, scale, and essay scores were analyzed for changes over time using Wilcoxon and Mann-Whitney tests. Inventory scores were unchanged over time, but scale and essay scores trended upward significantly post internship and mentoring. Health career education and mentoring programs can positively affect student knowledge of health careers and their attitudes about them. The study’s methods extend measures of program impact beyond satisfaction.

The Research Centers in Minority Institutions, (RCMI) Program was established by Congress to address the health research and training needs of minority populations, by preparing future generations of scientists at these institutions, with a track record of producing minority scholars in medicine, science, and technology. The RCMI Consortium consists of the RCMI Specialized Centers and a Coordinating Center (CC). The RCMI-CC leverages the scientific expertise, technologies, and innovations of RCMI Centers to accelerate the delivery of solutions to address health disparities in communities that are most impacted. There is increasing recognition that the gap in representation of racial/ethnic groups and women is perpetuated by institutional cultures lacking inclusion and equity. The objective of this work is to provide a framework for inclusive excellence by developing a systematic evaluation process with common data elements that can track the inter-linked goals of workforce diversity and health equity. At its core, the RCMI Program embodies the trinity of diversity, equity, and inclusion. We propose a realist evaluation framework and a logic model that integrates the institutional context to develop common data metrics for inclusive excellence. The RCMI-CC will collaborate with NIH-funded institutions and research consortia to disseminate and scale this model.

Religiosity may influence COVID-19 vaccination. However, it remains unclear how religiosity is associated with beliefs toward COVID-19 and vaccination against it, particularly amongst ethnic minorities. This study examined the association between religiosity, vaccination intent, beliefs, and attitudes related to COVID-19 and vaccination among adults in Puerto Rico. Data from an online survey conducted between December 2020–February 2021 among adults (≥18 yr; n = 1895) residing in Puerto Rico were used. Rating of the importance of religiosity was used to capture the level of religiosity (‘less important’, ‘somewhat important’, ‘important’, and ‘very important’). The health belief model (HBM) assessed beliefs and attitudes toward COVID-19 and vaccination against it. Adjusted Poisson models with robust error variance estimated prevalence ratios (PR) and 95% confidence intervals for vaccination intent and individual COVID-19 HBM constructs. Compared to individuals rating religiosity as ‘less important’ to them, those rating it as ‘very important’ were more likely to be unwilling or uncertain to get the COVID-19 vaccine (PR = 1.51, 95% CI = 1.10–2.05). Higher ratings of importance of religiosity, compared to the lowest level, were associated with significantly lower perceived COVID-19 susceptibility, more vaccine barriers, and lower vaccine benefits (all p < 0.05). Individuals who reported religiosity being very important to them were more likely to report that they will get the COVID-19 vaccine only if given adequate information about it (PR = 1.14, 95% CI = 1.02–1.27) and more likely to get the vaccine if more people decide to receive it (all p < 0.05). In conclusion, our results suggest an association between religiosity and COVID-19 vaccination intent and beliefs and attitudes toward vaccination. The study highlights important guidelines for public health campaigns to increase vaccine uptake among religious communities in Puerto Rico.

Ethnic minority populations are more likely to suffer from chronic comorbidities, making them more susceptible to the poor health outcomes associated with COVID-19 infection. Therefore, ensuring COVID-19 vaccination among vulnerable populations is of utmost importance. We aimed to investigate health behaviors and perceptions of COVID-19 vaccination among adults self-reporting diagnosis of cancer and of other chronic comorbidities in Puerto Rico (PR). This secondary analysis used data from 1911 participants who completed an online survey from December 2020 to February 2021. The Health Belief Model was used to measure perceptions surrounding COVID-19 vaccination among individuals self-reporting diagnosis of cancer and of other chronic comorbidities, and healthy adults. Among study participants, 76% were female, 34% were 50 years or older, 5% self-reported cancer diagnosis, and 70% had other chronic comorbidities. Participants self-reporting a cancer diagnosis had two times higher odds of getting vaccinated than healthy individuals (95% CI: 1.00–4.30). Compared to healthy participants, those self-reporting being diagnosed with cancer and those with chronic conditions other than cancer had significantly higher perceived COVID-19 susceptibility and severity. Our findings elucidate the effect of disease status on health-related decision-making and highlights information needed to be included in education campaigns to increase vaccine uptake among ethnic minority populations.

Residents of Puerto Rico bear a significant burden of mental health disorders, which the COVID-19 pandemic may have exacerbated. However, age-specific data on these disorders during the pandemic in Puerto Rico are scarce. This study evaluated age-related differences in the self-reported diagnosis of depression and anxiety among adults ≥18 years residing in Puerto Rico during the pandemic. An anonymous online survey was administered from December 2020 to February 2021 via Google Forms to measure self-reported sociodemographic and behavioral characteristics and physician-diagnosed mental health disorders. Multivariable logistic regression models were conducted for each self-reported mental health diagnosis after adjusting for sex, education, income, marital status, chronic diseases, and smoking. Out of 1945 adults, 50% were aged 40 years and over. Nearly 24% of responders self-reported an anxiety diagnosis, whereas 15.9% reported depression. Compared to individuals 50 years and over, those 18–29 y, 30–39 y, and 40–49 y had significantly higher odds of an anxiety diagnosis (OR = 1.84, 95% CI = 1.34–2.55; OR = 1.50, 95% CI = 1.09–2.07; and OR = 1.37, 95% CI = 1.01–1.87, respectively). However, no association between age and depression diagnosis was found. Despite anxiety and depression being frequent disorders during the pandemic in this sample, younger adults bear a higher burden of anxiety. Further research is needed to allocate appropriate mental health resources during emergencies according to population subgroups.