| Literature DB >> 34347574 |
Neeta Thakur, Stephanie Lovinsky-Desir, Donna Appell, Christian Bime, Lauren Castro, Juan C Celedón, Juliana Ferreira, Maureen George, Yolanda Mageto, Arch G Mainous III, Smita Pakhale, Kristin A Riekert, Jesse Roman, Elizabeth Ruvalcaba, Sunil Sharma, Priya Shete, Juan P Wisnivesky, Fernando Holguin.
Abstract
Background: Well-designed clinical research needs to obtain information that is applicable to the general population. However, most current studies fail to include substantial cohorts of racial/ethnic minority populations. Such underrepresentation may lead to delayed diagnosis or misdiagnosis of disease, wide application of approved interventions without appropriate knowledge of their usefulness in certain populations, and development of recommendations that are not broadly applicable.Goals: To develop best practices for recruitment and retention of racial/ethnic minorities for clinical research in pulmonary, critical care, and sleep medicine.Entities:
Keywords: clinical research; health disparities; minorities; recruitment; retention
Mesh:
Year: 2021 PMID: 34347574 PMCID: PMC8513588 DOI: 10.1164/rccm.202105-1210ST
Source DB: PubMed Journal: Am J Respir Crit Care Med ISSN: 1073-449X Impact factor: 21.405
Figure 1.A multilevel framework of shared participation barriers and potential interventions to promote participation in clinical research for historically underrepresented minority groups. BIPOC = Black, indigenous, people of color; DEI = diversity, equity, and inclusion; FTE = full-time equivalent.
Disease Prevalence and Composition by Racial and Ethnic Groups for Top Pulmonary Disorders in Comparison with Representation across Clinical Research Studies Funded by the NIH
| NIH RCDC Category | Race | Ethnicity | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| White | Black | Asian | American Indian/ Alaska Native | Latinx | |||||||||||
| Population Prevalence/ Frequency | Proportion of Diseased Population | Median % Enrolled in NIH Research | Population Prevalence/ Frequency | Proportion of Diseased Population | Median % Enrolled in NIH Research | Population Prevalence/ Frequency | Proportion of Diseased Population | Median % Enrolled in NIH Research | Population Prevalence/ Frequency | Proportion of Diseased Population | Median % Enrolled in NIH Research | Population Prevalence/ Frequency | Proportion of Diseased Population | Median % Enrolled in NIH Research | |
| Asthma ( | 8% | 63% | 56% | 10.7% | 17% | 20% | 4.5% | 3% | <1% | 10.4% | 1% | <1% | 6.5% | 15% | 6% |
| COPD ( | 3.6% | 82% | 63% | 3.4% | 12% | 27% | 1.1% | 2% | <1% | NA | NA | <1% | 2.7% | 11% | 2% |
| Cystic fibrosis ( | 1:2,500 | 94% | 97% | 1:17,000 | 5% | <1% | 1:35,100 | NA | <1% | NA | NA | <1% | 1:13,500 | 9% | <1% |
| Lung cancer ( | 56.1 | 82% | 80% | 55.5 | 11% | 5% | 33.4 | 3% | 2% | 39.1 | <1% | 1% | 27.7 | 4% | 3% |
Definition of abbreviations: COPD = chronic obstructive pulmonary disease; NA = not available; RCDC = research disease and condition category.
Categories defined as per Reference 138.
Racial categories are inclusive of persons identified as being of Hispanic/Latinx ethnicity, and Latinx ethnicity includes persons of different races.
Percentage of persons with disease from each racial/ethnic group; for cystic fibrosis, this is presented as the frequency, and for lung cancer, this is presented as the age-adjusted rate per 100,000 persons.
Percentage of persons from each racial/ethnic group among the total population of persons with disease.
The median percent participation in NIH-funded research studies within each demographic group and RCDC category is based on participants enrolled in human-subject studies during Fiscal Year 2018.
Summary of Exemplary Studies and/or Programs Addressing Recruitment and Retention Barriers to Inclusion of Minority Populations in Clinical Research
| Challenge | Strategy | Study: | Population | Intervention | Results |
|---|---|---|---|---|---|
| Time/competing demands | • Flexible appointment times | 30- to 64-yr-old urban-dwelling adults in Forest Park, Baltimore, MD ( | Multicomponent intervention that addressed individual-level and community-level barriers. Transportation barriers were addressed by free transport and mobile examination centers to bring the study to participants; economic and time-constraint barriers were addressed through flexible scheduling and providing adequate compensation. Other barriers (including bias and mistrust) were addressed by being community based, having community input, and having culturally congruent team members. | At 5 yr, reported 79.2% retention for Forest Hill participants (7.4% decreased, 5.5% dropped, and 7.5% lost to follow-up). | |
| • Alternative methods and modes for survey collection | |||||
| Logistics/lost to follow-up | • Multiple modes of contact | ||||
| Low- socioeconomic-status, urban-dwelling youth with asthma ( | Adaptation of the EVMC Model, which is an evidence-based recruitment strategy ( | Completion at 6 mo and 12 mo was 87.6% and 91.0%. | |||
| Cost and resource constraints | • Monetary and nonmonetary incentives | Participants in clinical trials for cancer treatment ( | Provided financial assistance for participants describing need. Specifically gave reimbursement for costs of travel and lodging associated with participating in cancer trial. | Greater increase in trial participation over expected trend (19 more participants/mo), but not specifically for minority populations. Notes increases in participation from younger, low-income groups and those living further away. | |
| • Provide transportation and/or reimbursement for transportation | |||||
| Language/health literacy | • Cultural congruency | Older Filipino women in L.A. County ( | Intervention: Five strategies, informed by target population, were employed: | 88% retention at 12 mo and 76% retention at 24 mo. | |
| Mistrust | • Engagement with providers, community leaders, or other trusted entities who predominantly serve minority communities | Increase recruitment of minority populations into cancer clinical trials ( | Trust-based continuous quality- improvement intervention to build trust between specialist physician investigators and community minority-serving physicians and ultimately potential trial participants. | Overall, no intervention effect was detected (odds ratio, 1.3; 95% CI, 0.7–2.4). However, heterogeneity across parent trials may have muted the effect, with three of four trials enrolling more minorities in the intervention than in the control group. | |
| • CHWs | African American adults with cancer referred for consideration for interventional cancer trials at the institution ( | Trained lay individuals as PNs to provide education on clinical trials; to provide supports, including transportation assistance, reminder calls, and social work referrals; and to serve as liaisons among the study team, clinician, and patient. | Overall, accrual increased from 9% Black participation in 2007 to 16% Black participation in 2014 over the study period; 74.5% of those who received navigational services completed the trial compared with 37.5% of Black participants who did not consent to PN services ( | ||
| Reaching target community | • Targeted advertising | African American families ( | Sociocultural outreach through community partnerships, word-of-mouth, sociocultural events, and placing culturally relevant advertisements. | Families recruited through sociocultural outreach were 1.96 times (95% CI: 1.05–3.68) more likely to schedule a baseline visit than families recruited through nonsociocultural avenues. No difference in enrollment or retention. | |
| • Social media | Pregnant women | Targeted advertisement via Facebook for a 27-d period. | Overall increase in recruitment via social media–based method (1,178 vs. 219 women). An almost threefold increased recruitment of Black pregnant women (29.4% vs. 11.2%; | ||
| Lack of engagement | • Building relationships | Low-income African American adults with hypertension ( | Multiple strategies employed to ensure engagement: team members committed to entire study period, prior experience with study population, and nonstudy communication with site partners and with participants. Nonengagement strategies included use of incentives and expanding eligibility criteria to capture younger patients with hypertension. | Accrued 97% of target population; retention rates were 91.5%, 88.1%, and 83.1% at 1, 3, and 6 mo, respectively. | |
| • Community engagement | Retention of low-socioeconomic-status smokers from two underserved urban communities | Informed by stakeholders, moved intervention from the clinic to community venues and employed peer motivators over healthcare providers (phase II and III). For phase III, allowed for more personalization of the intervention to participants’ needs. | Retention increased from 13.8% (phase I) to 51.9% and 67.9% in phase II and phase III, respectively. Retention of African American participants also increased significantly across phases (phase I: 63.7%; phase II: 82.1%; phase III: 84.6%; | ||
| Lack of representation | • Increasing the diversity of research team | Latina breast cancer survivors ( | To overcome cultural, linguistic, and health-literacy barriers, the study team was composed of Latina investigators, involved culturally and linguistically concordant CHWs, and partnered with local community groups. Together, the team identified acceptable types and methods for biospecimen collection; addressed mistrust by having community-identifying investigators on the team, including CHWs, and partnering with community groups; developed plain-language, approachable materials that covered the extent of the study. | Investigators were successful in obtaining repeated collections of biospecimens from participants and reported high rates of retention at 6 mo (85%). | |
| Lack of trial availability | • Aligning clinical and research priorities | Adults in AZ receiving care through Banner Health ( | Partnership with health system that included aligning goals, expectations, and responsibilities and defining value for each partner; focused on hospitals that served desired demographics (i.e., central and southern AZ) and that had research infrastructure in place, including the ability to embed the study into electronic health records and having space to build on-site enrollment sites; engaged with stakeholder communities to address and build trust; and ensured that presence of provider champions and partners on site. | Accrual of 30,000 participants (surpassing initial goals) and matching goals by race/ethnicity. | |
| Competing demands/priorities | |||||
| Recruitment of minority participants | • Policy mandating enrollment of minorities | Minority and female participants across the life span | Congress required the NIH to establish guidelines for inclusion of women and minorities in clinical research. Resulted in mandate that clinical research must include women and minority populations unless justification as to why they cannot be included is provided. | Increased reporting of minority and women included in research. Review of published studies in 2015 vs. 2004 and 2009. Successful in increasing participation of women in research (median of 46% in 2015 vs. 38% in 2009 and 43% in 2004); however, only 26.2% included analysis by sex or included this variable in statistical analysis (vs. 25.0% in 2009 and 13% in 2004). Less able to assess success with increasing minority participation, as many studies still fail to include demographic data for racial and ethnic minority groups (32.4% and 53.5% in 2015 vs. 43% and 52% in 2009 and 33.3% and 36% in 2004 for African American and Hispanic groups, respectively). Furthermore, few studies included analysis by race/ethnicity or included this variable in statistical analysis (13.4% in 2015 vs. 14% in 2009 and 8.7% in 2004) ( | |
| Retention of minority scientists | • Diversity supplements | Scholars from groups underrepresented in biomedical science supported between 1986 and 2006 | Supplement (up to $100,000 in 2020) to eligible parent NIH grant that provides support for trainee to engage in research (salary support allowed). | 73% vs. 50–58% national completion rate for STEM-related doctoral programs; 65% of all diversity supplement graduate and postdoctoral recipients achieved research careers. | |
| • Loan repayment programs | Early-stage investigators with significant student debt | Competitive grant for loan repayment (up to $50,000 in 2020). | Increased retention in NIH research positions starting at Year 2 (99% vs. 87%) and persisting for >10 yr after receipt. Increased initial retention in research starting at Year 3 (93% vs. 86%) that reemerges at 10 yr after receipt (74% vs. 52%) ( |
Definition of abbreviations: AZ = Arizona; CBPR = community-based participatory research; CEASE = Communities Engaged and Advocating for a Smoke-free Environment; CHW = community health worker; CI = confidence interval; EVMC = Engagement, Verification, Maintenance, and Confirmation; IMPaCT = Increasing Minority Participation in Clinical Trials; L.A. = Los Angeles; NIGMS = National Institute of General Medical Sciences; PN = patient navigator; RECRUIT = Randomized Recruitment Intervention Trial; STEM = science, technology, engineering, and math.
Included CBPR perspective for intervention design.
Data not available by race/ethnicity.
CBPR versus Community-placed Research
| Community-placed Research | CBPR | |
|---|---|---|
| Goals | To generate new knowledge | Research is a vehicle for immediate action |
| To decrease health inequities | ||
| Agenda setting | Academia | Collaborative effort between academia and community |
| Primary emphasis | Advancing science to improve health | Action to improve health |
| Publication | Empowering the community | |
| Sustainability | ||
| Expertise | Academia | Academia and community |
| Level of community participation | Mostly subjects; may aid in recruitment | Engaged partners throughout the research process |
| Dissemination | Primarily through publication to the medical community | To the affected communities, policy makers, health advocacy groups, and the medical community |
| Sustainability | Not a focus | Necessary for success |
| Funding | Grants written by researchers; funds go to researchers | Shared grant writing |
| Equitable compensation | ||
| Added challenges | None | Building trusting relationships |
| Data sharing/management | ||
| Engagement of a vulnerable community | ||
| Time intensive |
Definition of abbreviation: CBPR = community-based participatory research.
Reprinted from Reference 39.
Figure 2.Trust Triangle of the investigator, the community-based trusted entity/leader, and the participant. Adapted by permission from Reference 84.
Enhancements for Implementation by Investigators into Research Protocols to Enhance Minority Recruitment and Retention in Clinical Research
| Recruitment | Retention | Overall |
|---|---|---|
| ✓ Culturally sensitive visuals on patient-facing materials | ✓ Collect multiple methods of contact (e-mail, phone numbers, texting, social media, alternate contact person) | ✓ Ensure flexible scheduling available (including evenings and weekends) |