Johns Hopkins University Press
Abstract

Hispanic/Latino representation in medical research remains poor. We describe factors affecting rates of recruitment, participation, adherence, and retention of Hispanics/Latinos in clinical studies in the United States and characterize proposed strategies to improve these rates. A targeted literature review was conducted. Relevant studies were identified from Embase, MEDLINE®, and CENTRAL from January 1, 2010 to September 4, 2020. Sixty-eight studies were included. Key facilitators to research involvement were establishing trust between research staff and participants, incorporating familism, and using culturally appropriate language. Common elements of successful strategies for improving research involvement included incorporating community partners, bilingual and culturally competent research staff, continuous engagement and building relationships between participants and staff, and incorporating Hispanic/Latino cultural values. There is no universal strategy to improve research involvement of Hispanics/Latinos. The best strategy is likely a combination of key elements from several strategies, tailored to each unique study population. Further research is needed.

Key words

Hispanic Americans, clinical trial, review, retention in care, treatment adherence and compliance, patient participation

The underrepresentation of ethnic and racial minorities in clinical trials is a persistent issue in the United States (U.S.), despite the National Institutes of Health (NIH) Revitalization Act of 1993 stipulating the mandatory recruitment of women and [End Page 399] minorities in all NIH research.1,2 A recent report from the U.S. Food and Drug Administration (FDA) on its 2020 Drug Trial Snapshots showed a notable disparity between the representation of minorities and the representation of non-Hispanic Whites in clinical research, with the latter making up only 62% of the U.S. population, but 76.3% of research participants within clinical trials for new molecular entities and therapeutic biologics.3 Additionally, Hispanics/Latinos/Latinas/Latinx (H/Ls) represent 18.5% of the U.S. population, but only 11% of trial participants.3,4 Since the NIH Revitalization Act of 1993, initiatives to recruit participants from minority groups have grown more common. These initiatives have had varying success, as seen by the decreasing H/L participation rate in a study assessing participation in the National Institute of Neurological Diseases and Strokes trials before 1995 (7.5% participation rate) and after 1995 (5% participation rate, p <.001).5

Within the context of research, recruitment is generally considered the first chronological step in engaging and enrolling participants into the study (before the study has begun), participation is the second step where recruited participants provide baseline data and begin study follow-up, adherence is the act of a participant following study protocol and committing to the assigned intervention throughout the study, and retention pertains to keeping enrolled participants in the study for its duration. Each step in participant involvement is crucial to the success of clinical trials. Furthermore, the health of individual patients suffering from diseases may hinge on their involvement in research and compliance with treatment protocols. For example, Mexican Americans have disproportionately high rates of type 2 diabetes and experience more diabetes-related complications compared with non-Hispanic White Americans.6,7 However, rates of inadequate treatment adherence to oral medications has been reported to be between 51.7% and 60.2% for H/Ls, compared with 37.5% for non-Hispanic Whites.8 In this way, patients who are most in need of treatment may not be receiving the proper education and care they need to manage their health.

Achieving high participant involvement in research can be challenging, especially in communities that have historically been underrepresented in research and where mistrust of researchers is common.911 Thus, proposed solutions to address clinical trial/study recruitment in the H/L population should be evaluated and described to better serve these patients. Thus, the objective of this review is to identify and describe factors that affect rates of recruitment, participation, adherence, and retention of H/Ls in clinical trials and observational studies in the U.S. Additionally, we aim to characterize proposed strategies to improve these rates.

Methods

A targeted literature review was conducted. Study eligibility criteria were defined using a modified PICO (Population, Intervention, Comparator, Outcomes) framework. Eligible studies included clinical trials or observational studies that reported factors affecting study recruitment or participation, adherence or compliance to treatments or study protocols, or study retention of H/L adults or children. Selected publications were focused on data from the U.S., available in English, Spanish, or Portuguese, stating that at least a portion of their sample population included H/Ls. Abstract and full-text selection, [End Page 400] full-text review, and data extraction were performed by a single senior reviewer, and all steps were overseen and quality-checked by a lead senior investigator. Results were narratively summarized.

A literature search was conducted by searching for articles published between January 1, 2010 and September 4, 2020 in MEDLINE®, Embase, and Cochrane Central Register of Controlled Trials (CENTRAL) according to pre-defined search strategies. Relevant conference abstracts published in the years 2018–2020 were also identified via Embase. In addition, gray literature searches of funding agency websites (i.e., NIH; https://nihpublications.od.nih.gov/) and Google Scholar, and bibliographies of included literature review articles were hand-searched to capture relevant publications. The reviewer extracted all relevant data from the final set of included studies. The following data were extracted where available: (a) study name, year of publication, study authors, study design, study setting, sample size, follow-up length, and participant exclusion/inclusion criteria; b) name and description of the strategy to improve recruitment, participation, adherence, or retention rates of H/Ls; c) characteristics of the study participants including age, sex, race/ethnicity, country of origin, spoken languages, disease or therapeutic area; (d) factors affecting recruitment, participation, adherence, or retention rates of H/Ls, and effectiveness of strategies to improve these rates. Strategies and factors affecting these rates were categorized by a senior reviewer to facilitate the summary of information from the most frequent categories. Categorization of studies by what stage of research involvement they were investigating (i.e., recruitment, participation, adherence, or retention) was based on the language used in the studies themselves.

Results

Study selection and characteristics

A total of 8,332 citations were identified from the electronic databases and from gray literature searches (Figure 1). Following full-text screening, 68 publications were included.

Of the 68 included publications, six were available as conference abstracts and the remaining were available as full-text articles. Most studies used cross-sectional (n = 23) or descriptive study designs (n = 16).

Twenty-one studies reported the length of follow-up, which ranged from one week12 to six years8 (median: 12 months). Forty-two studies were multi-center, 19 were singlecenter, and seven did not report this characteristic. As per our eligibility criteria, all studies were conducted at least in part within the U.S. California was the most common state (n = 14), followed by Florida (n = 9) and New York (n = 6). The number of participants in each study ranged from nine13 to 30,838.8 A common inclusion criterion across studies was proficiency in either English or Spanish (n = 13).

Participant characteristics

Sociodemographic characteristics

Mean age of H/L participants was reported in 24 studies, ranging from 14.114 to 7515 years (median: 49.9). Across 23 studies, the proportion of female participants ranged from 19%11 to 100%10 (median: 66.6%). The proportion of female participants was 50% or higher in 18 studies.

The proportion of H/L participants was reported in 51 studies — 22 of these consisted of only H/Ls; in the remaining 29 studies, 11 aimed to enroll ethnic/racial minorities, and in these, H/Ls were between 20%16 and 93%17 of the total sample (median: 44%). [End Page 401]

Figure 1. PRISMA flow diagram.
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Figure 1.

PRISMA flow diagram.

Studies that did not aim to enroll only ethnic/racial minorities (n = 17) reported proportions of H/L between 3%18 and 98%19 (median: 16%).

Country of origin among H/L participants was reported in 10 studies. The U.S. was most frequently reported (n = 7), ranging from 10%20 to 63%21 (median: 23.1%). Other countries of origin included Mexico (n = 5), Cuba (n = 3), Nicaragua (n = 3), Colombia (n = 2), Guatemala (n = 2), Honduras (n = 2), Peru (n = 2), Puerto Rico (n = 2), Argentina, Bolivia, Costa Rica, Ecuador, El Salvador, Venezuela, and the Caribbean (n = 1 each). The proportion of H/L participants who spoke English was reported in six studies, ranging from 3%20 to 50%15 (median: 30%). Nine studies reported on the proportion of H/L participants who spoke Spanish, which ranged from 45.9%22 to 100%10 (median: 70%).

Disease or therapeutic area

A wide variety of diseases were represented in the set of 68 included studies. The most reported disease in the studies was cancer (n = 24), followed by mental health disorders and addiction (depression, psychosis, mental health issues, and substance abuse, including smoking; n = 9), diabetes (n = 6), HIV/AIDS (n = 6), and Parkinson's disease (n = 4). Across the cancer studies, general cancer (n = 16) and breast cancer (n = 6) were the most frequently reported diseases.

Strategies to increase recruitment, participation, adherence, or retention

Thirty [End Page 402] studies aimed to test strategies for improving the recruitment, participation, adherence, or retention rates of H/Ls in clinical trials or observational studies. Each strategy was unique to a single study. A table summarizing the strategies that were quantitatively measured for their effectiveness in improving recruitment, participation, adherence, or retention rates (i.e., according to a pre-specified quantitative goal or statistically significant result versus a control) appears as Table 1 (n = 16). Strategies were manually categorized into those that demonstrated quantitative effectiveness and those that did not. The remaining studies only qualitatively described the effectiveness of their strategy (n = 14).15,18,19,2333 Notably, 10 studies only described their strategy to improve study involvement, but did not test its effectiveness.20,3442 This section of the manuscript focuses on the 16 studies measuring their strategy's effectiveness quantitatively.4348

Recruitment strategies

A total of 18 strategies aimed at improving recruitment of H/Ls into research were identified. Of these, five were shown to be effective according to a pre-specified quantitative recruitment goal or statistical test versus a control. Strategies were community-based participatory research approaches (use of community partners; engagement of community; communication strategies);49 an engagement, recruitment, and retention process involving formative assessment and community engagement specialists;45 digital marketing campaigns;48 a recruitment strategy involving four bicultural, bilingual clinical research assistants;13 and recruitment strategies involving a community advisory board, bilingual flyers, and presentations and exhibits at community events.46

Noteworthily, three strategies were identified that were not shown to be effective in improving recruitment rates. The first strategy was an office-based clinical trial educational video and the study showed no difference in the proportion of participants who enrolled in a clinical trial after viewing the video compared with the control of no in-office education after one year (3 vs. 2 enrollees; p = .69).43 The second strategy was a minority-based community clinical oncology program which failed to meet its accrual targets of 60 patients in the first year of recruitment (only 26% of this goal was reached), 80 in the second year (37.5%), and 100 in the third year (48%).44 The third and final strategy that was deemed ineffective was the use of recruitment letters specialized for the recipients' racial/ethnic group.47 These letters did not improve screening or enrollment rates in the overall sample nor the racial/ethnic groups (p ≥ .48) compared with standard recruitment letters.47

Participation strategies

Eleven strategies developed for improving participation of H/Ls into research were identified. Of these strategies, none were found to directly improve participation rates (i.e., through presentation of data showing increased number of participants following application of the strategy). However, two demonstrated effectiveness in improving outcomes related to participation, including understanding or knowledge of clinical trials, and perception of benefits or barriers to clinical trial participation. The first of these strategies was called Choices, and was described as a bilingual multi-component strategy including an educational interactive video, a low-literacy booklet, and care coordination by patient navigation.22 Following receipt of Choices, perceived understanding of clinical trials (p = .033) and consideration of clinical trials as a treatment option (p = .008) improved compared with controls.22 The second strategy was a single-session slide presentation with embedded videos called the Adaptation of Clinical Trials Education Program for Hispanic Americans.5053 Benefits [End Page 403]

Table 1. SUMMARY OF QUANTITATIVELY EFFECTIVE OR NOT EFFECTIVE INTERVENTIONS/STRATEGIES TO IMPROVE RECRUITMENT, PARTICIPATION, ADHERENCE, AND/OR RETENTION OF SUBJECTS INTO RESEARCH
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Table 1.

SUMMARY OF QUANTITATIVELY EFFECTIVE OR NOT EFFECTIVE INTERVENTIONS/STRATEGIES TO IMPROVE RECRUITMENT, PARTICIPATION, ADHERENCE, AND/OR RETENTION OF SUBJECTS INTO RESEARCH

[End Page 405] following the presentation included increased mean knowledge of cancer clinical trials (p = .034), and improved perceived benefits (p = .019) and barriers (p =.013) to cancer clinical trials.

One strategy was identified that did not statistically improve outcomes related to participation of H/Ls.43 The strategy was embedded within a 15-minute survey, in the form of three clinical trial educational questions that recipients had to answer. The first three questions on the survey assessed the initial willingness to participate in clinical trials, and the subsequent three questions were the clinical trial educational questions. The final question again assessed whether recipients were willing to participate in a clinical trial. Following the survey, the proportion of H/Ls who were willing to participate did not significantly change (8 [57%] vs. 11 individuals [79%]).

Retention and adherence strategies

A total of seven studies described strategies to improve retention in health research or adherence to medication. Of these, only two strategies were considered effective in improving retention rates for H/Ls.45,46 The first retention strategy included the use of a promotora (promoter), a lay H/L community member who has been trained to educate the community on basic health principles and who serves as a liaison between the community and health care professionals.46 The promotora made weekly reminder phone calls to participants, provided contact information for questions or concerns, and gave weekly homework assignments on content discussed during that session. Twenty-five of 38 (65.8%) participants completed the entire five-month follow-up, meeting the retention goal of 20 participants for the promotora group. The retention rate was lower in the control group, where only eight out of 20 (40%) individuals completed the entire five-month program. In the second study, a combined engagement, recruitment, and retention strategy involving telephone reminders, increased site visits, and over-scheduling of follow-up interviews, was used.45 Authors reported that retention strategies yielded 100% retention rates for all recruited sites throughout the study.

One strategy aimed at improving adherence to medication—a cultural strategy featuring H/L values delivered by Spanish-speaking nurses—was deemed effective after those in the cultural strategy group were shown to take a significantly greater number of doses of treatment compared with the historical control group (157 pills [5.2 months' worth] vs. 129 [4.3]; p = .028).54,55 One strategy was ineffective at improving adherence to medication rates among H/Ls. The use of PictureRx, an illustrated medication list, was not associated with increased self-reported adherence compared to the usual care group (Adherence to Refills and Medications Scale Scores: 10.3 PictureRx vs. 9.9 usual care).12 Notably, the authors found that patients randomized to PictureRx had better overall understanding of their medications (p < .001), including greater ability to report the drug indication (p < .01), strength (p < .05), dosing (p < .01), and frequency of administration (p < .001). However, this increased understanding did not translate to improved adherence.

Factors affecting recruitment, participation, retention, and adherence

The remaining non-interventional studies contributed to the objectives of this review by reporting perceptions of or attitudes towards research from H/Ls, as well as factors affecting recruitment, participation (or willingness to participate), retention, or adherence.

Facilitators

A summary of commonly reported (i.e., reported by two or more studies) [End Page 406] facilitators to study recruitment, participation, retention, and adherence to the study protocol or medication is provided in Table 2.

Facilitators related to communication and the relationship between the potential participant and their physician and research staff were reported by 14 studies. Emerging categories of facilitators included the establishment of the participant's trust in their treating physician, research staff, or the health information they have received (n = 9). Additionally, language was a strong driver of successful participation as well as adherence for H/Ls (n = 8). Several studies described how language concordance with the participants' physician or research staff was a facilitator for successful participation. The provision of Spanish-language study materials was also deemed necessary, and use of culturally appropriate terms (e.g., study may be thought of as schoolwork, and does not translate the concept of a research study), tone, and non-verbal communication such as body language was suggested. The level of literacy of the participants should also be considered when communicating with potential participants or when providing study-related materials.

Participant-related facilitators to participation, adherence, and retention were reported by 11 studies. Among these, family support or participation was identified as one of the most reported facilitators to H/L participation and adherence (n = 5). For example, family members assisting in organizing medications in boxes and reminding participants to take them was described as a key facilitator to H/L participants.5668 Education level was a commonly reported sociodemographic factor that was often linked to participation and adherence rates of studies (n = 5). Generally, participants who had an education level of some college or more had higher chances of participating and being retained within the study, whereas those with education levels of high school or lower did not. Other sociodemographic characteristics related to participation and retention were being married (n = 3), as well as higher self-reported baseline quality of life (n = 2).

Facilitators of participation and adherence related to participant beliefs were reported by nine studies. The most common belief-related facilitator to participation was the belief that the potential participant's contributions to the study would benefit others or their family members (n = 6). Like the motivator of helping others, perceived personal benefits (e.g., benefits from receiving treatment for their ailment during the trial) was also a commonly reported facilitator to participation (n = 3).

Lastly, 11 studies reported study-related facilitators to recruitment, participation, or retention. Among these studies, adequate knowledge of or familiarity with the clinical trial or study at hand or clinical trials/research in general was an emerging category, reported by six studies. Helping the participant's understanding of the purpose behind conducting the research and their roles as a research participant, clarifying any misconceptions they may have regarding clinical research and health information, and relieving uncertainty of clinical trials in general were described as facilitators. Another study-related facilitator to participation was the incorporation of monetary incentives for potential participants (n = 4). Most studies reported that participants appreciated this gesture in exchange for their time and efforts. Notably, however, one study found that monetary incentives reduced the likelihood of healthy individuals participating in an influenza vaccine trial.17 The authors described this finding as a paradox, since [End Page 407]

Table 2. SUMMARY OF COMMONLY REPORTED FACILITATORS TO RECRUITMENT, PARTICIPATION, ADHERENCE, AND/OR RETENTION.
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Table 2.

SUMMARY OF COMMONLY REPORTED FACILITATORS TO RECRUITMENT, PARTICIPATION, ADHERENCE, AND/OR RETENTION.

[End Page 409] financial benefit is generally a key motivator for the participation of healthy individuals in clinical trials. Nevertheless, a possible explanation of this finding was provided, which stated that potential clinical trial participants may have associated the monetary incentive with increased perception of risk. In line with this finding, another commonly reported study-related facilitator for both recruitment and participation was an adequate description of the clinical trial (including purpose, and role of the participant) or associated risks of contributing to the study (n = 3). Adequate description provided by the research staff may help the potential participant feel more secure and reduce stress or concerns.

Barriers

A summary of commonly reported (i.e., reported by two or more studies) barriers to study recruitment, participation, retention, and adherence to the study protocol or medication is provided in Table 3.

Common societal barriers were reported by 12 studies and included those related to costs associated with participation (or income; n = 5), lack of accessible transportation to the trial sites (n = 5), lack of accessible childcare or elder care, and time demands associated with participation (n = 2). These factors were seen as addressable at a societal level, by creating more accessible or affordable public transportation and child or elder care; however, at a study level, provision of transportation or monetary incentives may also help to combat these barriers.

Common barriers related to participant's beliefs were reported by 10 studies, and the most common was fear of adverse effects of study interventions (generally applicable to pharmaceutical interventions; n = 5). Three studies reported that some participants had the perception that they would be used as guinea pigs to test new drugs or treatments that were not adequately evaluated for safety.

Finally, common participant-related barriers included the age of participants (n = 4), where those who were older tended to refuse to participate. Immigration status was another commonly reported barrier (n = 2). Participants in a focus group suggested that researchers and study advertisements should make sure to clearly state that immigration status will not be documented during the study and will not prevent participation.2 Importantly, the study stated that questions about the length of residency in the U.S. can spark feelings of mistrust in the potential participants regarding the intentions of the researchers.

Three studies did not describe commonly reported barriers or facilitators to recruitment, participation, retention, or adherence, and are reported here separately.7072,7375 Chang et al. examined factors associated with willingness to be contacted for research on depression among H/Ls and other racial/ethnic groups.73 Authors found that among H/Ls, those whose primary language was Spanish were more likely to agree to be contacted for research compared with those whose primary language was English (odds ratio 1.741; p< .001). Diehl et al. evaluated accrual patterns across 10 clinical trials conducted by the American College of Surgeons Oncology Group, with results stratified by racial/ethnic group.74 Authors reported that clinical trial protocols that were successful in recruiting H/Ls had the following features in common: studies were designed to recruit patients with regional or advanced-stage disease, and studies involved an investigational systemic therapy. Authors concluded that study design can influence recruitment patterns. Lastly, the study by Langford et al. aimed to examine [End Page 410]

Table 3. SUMMARY OF COMMONLY REPORTED BARRIERS TO RECRUITMENT, PARTICIPATION, ADHERENCE, AND/OR RETENTION
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Table 3.

SUMMARY OF COMMONLY REPORTED BARRIERS TO RECRUITMENT, PARTICIPATION, ADHERENCE, AND/OR RETENTION

[End Page 411] the association of race/ethnicity with clinical trial awareness and to inform future communication campaigns to increase clinical trial awareness and participation.75,76 Investigators reported that H/Ls were less likely to be aware of clinical trials compared with non-Hispanic Whites (odds ratio: .62; 95% confidence interval .49–.78), and that lower awareness of clinical trials is at least a partial explanation for lower minority participation in trials.

Discussion

The aim of this targeted review was to identify and describe factors affecting rates of recruitment, participation, adherence, and retention of H/Ls in clinical trials and observational studies in the U.S. We also aimed to characterize proposed strategies to improve these rates.

Among the studies that reported strategies to improve recruitment, several patterns emerged among the successful strategies. The first theme that emerged was the use of community-based approaches to enroll potential participants. Use of community partners or community champions (i.e., an individual who helps link the community, has good interpersonal skills, and can serve as a broker on behalf of the health initiative within the community) were common approaches that were generally associated with successful recruitment efforts. These community specialists may help recruitment efforts by shaping the strategy or study materials to match the community's needs, advocate for the community's participation into the study, and provide recommendations to study investigators on recruitment strategies. Ideally, community members should be engaged throughout a research study, from identifying the issue or question to be tested, all the way to translating the results back to the community.77 In a previous systematic review that aimed to synthesize the existing evidence on interventions to enhance enrollment of vulnerable populations (minority, underserved, poor, rural, urban, or inner city) into health research studies, the most common strategies for recruitment were found to be social media, community outreach, health system recruitment, and referrals.78 Although most of their included studies focused on Black participants, H/L populations were the focus of 46% of studies. Like our own review, the rigor of methodologies employed by the included studies varied: less than a quarter of studies compared interventions using statistical analysis. Authors concluded that further research using robust study designs is needed.

For participation, no strategy emerged as objectively successful. However, of the two strategies that demonstrated effectiveness in improving knowledge of clinical trials and the participant's perception of benefits or barriers to participation,22,50 a common theme of bilingual information and staff emerged. Additionally, both strategies used a similar format for delivering their information, by means of a slideshow presentation or video. However, it should be noted that although not explicitly tested, it is likely that several of the strategies identified to improve study recruitment would also be applicable for improving study participation. In many studies, stages of recruitment and participation are chronologically close together. Thus, successful strategies such as community engagement may also be a good option to consider for keeping patients engaged in the early stages of the study. In support of this, a previous review focused on identifying [End Page 412] strategies to improve participation among racial/ethnic minorities (one of which was H/Ls) showed that community involvement was a common approach that helped to facilitate participation.79

In terms of retention, the two strategies that demonstrated effectiveness both had several key components in common that were likely associated with their success.45,46 In both studies, a community engagement specialist or promotora was involved to support the study and to act as a point of contact for questions or concerns, which helped to facilitate trust in the relationship between researchers and participants. Additionally, both strategies used phone call follow-ups to remind participants about the study. This finding is in alignment with a previously conducted review focused on broader minority populations79 suggesting that community involvement is an effective strategy not unique to H/Ls. Finally, one strategy to improve adherence of H/Ls was considered to be quantitatively effective.55 Authors used a cultural strategy that included key H/L values.28 Integration of these cultural values into research with H/Ls may be effective in improving adherence.

In addition to the patterns seen across the strategies to improve recruitment, participation, adherence, and retention rates of H/Ls, several themes emerged across the facilitators and barriers to these rates. One key theme was that of H/L mistrust towards the research staff, physicians, or health information providers. This theme tied into several commonly reported barriers including the belief that participants are being used as guinea pigs in research, where unsafe treatments may be administered to these groups to test them before they are received by the general public.10,61,69,79 In line with this, the fear of adverse events associated with the administered treatments (e.g., pharmaceutical products) was also a commonly reported barrier,10,61,69,79 highlighting the need for clear explanations of the risks associated with the treatments to be provided and the establishment of rapport between the research staff and participants. A fear that the immigration status of the participants might be revealed to government bodies was also a trust-related barrier, and it was recommended that researchers clarify that immigration status will not be documented during the study. Medical mistrust and perceived discrimination can contribute to lower satisfaction with health care among H/Ls.80 Additionally, it can lead to patients not receiving proper care as individuals may be less likely to take medical advice, attend follow-up appointments, or continue prescriptions.81 Although this issue is complex and often informed by long histories of discrimination, medical mistrust may be mitigated by consistently improving the health research literacy of H/Ls over time. Specifically, mistrusting H/Ls may benefit from being assured of their rights and protections for human trial participation to relinquish any fears of being a experimented on, addressing concerns about potential side effects of interventions, and having a safe space to learn and inquire about the research at any point in the study.

Another key theme in the facilitators and barriers to research was familism, including family support for participating into the study or family involvement in the study.14,59,61,68,69,81 Reminders from family members to take their medication or family acceptance of the individual's participation into the study were strong facilitators to H/L involvement in research. Additionally, the perceived belief that participation in research would indirectly benefit one's family members was a commonly reported [End Page 413] facilitator for participation. These findings emphasize the importance of family as a valuable resource that should be incorporated into clinical trials and studies of H/Ls. Lastly, the theme of appropriate use of language in research was a key facilitator to H/L involvement in research. Key factors included concordance of spoken language with the physician or research staff, provision of Spanish-language study materials that are at the appropriate literacy level and include culturally relevant terms and images, and use of appropriate tones and non-verbal communication when interacting with participants. It is important to consider each of these aspects of communication to promote successful involvement of H/Ls into research.

Overall, for clinical trial and observational study participants, the ability to decide whether to participate is based on a combination of factors, including having knowledge about science, understanding of the research process, being able to seek out and evaluate health information, and being able to trust that the messages coming from the providers and the system are appropriate for the populations served. Among the many factors that act as barriers to participation in research, few are easily modifiable by the clinical investigator, but consciously developing tools to improve communication and education among minority populations may have an impact.76,81

Several exploratory questions we initially hoped to answer in this review could not be addressed due to lack of consistency across studies. Specifically, our review did not identify any meaningful trends suggesting that effective strategies to increase recruitment, participation, retention, and adherence rates may differ across study designs. Although this finding could indicate that strategies effective for improving study involvement and adherence in observational studies would be the same as those that would benefit clinical trials, we cannot rule out the possibility that this lack of a trend was due to the substantial variation seen even within study design categories (e.g., there were many different types of observational studies). In light of a growing body of evidence on this topic, future reviews may choose to restrict their inclusion criteria to certain study designs to be able to draw stronger conclusions for successful participation strategies within randomized controlled trials, for example. Furthermore, we did not identify any apparent trends in the success of strategies to improve study involvement and adherence across different therapeutic areas. Diseases being investigated tended to vary across included studies, and no consistent themes emerged that were specific to certain disease areas. Similarly, future research focused on specific disease areas may yield clearer trends in solutions to H/L participation.

Our review has several notable strengths. First, to our knowledge, this is the first literature review to comprehensively assess the factors that affect rates of recruitment, participation, adherence, and retention of H/Ls in both clinical trials and observational studies in the U.S. Existing literature reviews are often focused on broader racial/ethnic populations which do not necessarily reflect H/Ls well.7779,8284 Additionally, our search methods included extensive searches of major electronic databases, gray literature sources, and bibliographies of captured reviews. However, several knowledge gaps and limitations of this review were identified. First, the included studies were largely heterogeneous in terms of sample size, disease or therapeutic area, inclusion and exclusion criteria, and study design. Consequently, comparison and summary of study findings was challenging, and the summarized findings may not be generalizable to all diseases [End Page 414] and populations. Additionally, some of the included studies enrolled mixed populations of H/Ls and non-H/Ls (other minorities). Findings from these studies were considered applicable to both H/Ls and non-H/L minority groups as the strategies were designed for increasing participation of underrepresented groups overall. However, it cannot be determined whether such strategies to improve study involvement are effective specifically in H/L s without within-study stratification of results by race/ethnicity. Second, the present review was limited by the reporting style of the included studies. Specifically, many studies did not provide a clear quantitative assessment of the effectiveness of their strategy to improve recruitment, participation, retention, or adherence of H/Ls, and therefore, strong conclusions on the relative efficacy of each strategy could not be drawn. Similarly, many barriers and facilitators to research involvement of H/Ls were assessed qualitatively by study authors, and as a result, it was not possible to determine the relative weights of these factors, and therefore which factors should be considered most significant. Further research using robust study designs—for example, randomized controlled trials to assess the effectiveness of participation strategies—are warranted to identify the most effective strategies to improve study involvement of H/Ls in various disease areas. Finally, although we kept our inclusion criteria open to any type of research that involved this population, emergent from the findings of our review, it became evident that the majority of the literature is focused on medical studies. Future research on participation of patients in non-medical fields (e.g., social sciences) would also be important to fully understand factors affecting rates of study involvement.

Conclusion

Though a substantial amount of literature exists on the barriers and facilitators to recruitment, participation, and retention of H/L and ethnic/racial minority patients in research, there are still areas that could be improved. Due to substantial heterogeneity in the study designs, populations, and objectives, as well as lack of explicit reporting, there appears to be no universal strategy to improve recruitment and participation of H/Ls into research. The best strategy is likely a combination of key elements from several strategies, tailored to suit each study population. More research is needed on more effective ways to raise awareness about participation in research among H/Ls. Some suggestions for themes to be further explored in future research are: the use of technology and social media to recruit and enroll patients in research, the potential role of nurses in the recruitment of patients for research, modification to the training given to recruiters, education and engagement with physicians to better promote recruitment among H/Ls, and building awareness of clinical trials through promoting trials in clinics, at community events, and within the larger health system.

Brian Dreyfus, Lorena Kuri, Mauricio Ferri, Patricia Doykos, Mir Sohail Fazeli, Kimberly Hofer, Antonia Andonova, and Leticia Ferri

BRIAN DREYFUS, LORENA KURI, MAURICIO FERRI, PATRICIA DOYKOS, and LETICIA FERRI are affiliated with Bristol Myers Squibb. Mir Sohail Fazeli, Kimberly Hofer, and ANTONIA ANDONOVA are affiliated with the Evidinno Outcomes Research Inc.

Please address all correspondence to: Leticia Ferri, Bristol Myers Squibb, 3551 Lawrenceville Rd, Lawrence Township, NJ, 08648; Email: Leticia.Ferri@bms.com.

Acknowledgments

The authors would like to thank Ebod Shojaei and Christopher Crotty of Evidinno Outcomes Research Inc. (Vancouver, BC, Canada) for their contributions to conducting this review and preparing the manuscript.

Funding

This study was funded by Bristol Myers Squibb.

Disclosure statement

Brian Dreyfus, Lorena Kuri, Mauricio Ferri, Patricia Doykos, and Leticia Ferri are employees and shareholders at Bristol Myers Squibb. Mir Sohail Fazeli, Kimberly Hofer, and Antonia Andonova report employment with Evidinno Outcomes Research Inc., which was contracted by Bristol Myers Squibb to conduct this study.

References

1. ACTRN12619001634167. A Lifestyle Intervention Study to Reduce Modifiable Risk Factors for Dementia in People with Mild Cognitive Impairment—The COAST Study, 2019. Available at: https://wwwanzctrorgau/Trial/Registration/TrialReviewaspx?id=378643.
2. Ford ME, Siminoff LA, Pickelsimer E, et al. Unequal burden of disease, unequal participation in clinical trials: solutions from African American and Latino community members. Health Soc Work. 2013 Feb;38(1):29–38. https://doi.org/10.1093/hsw/hlt001 PMid:23539894
3. U.S. Food and Drug Administration. 2020 Drug Trials Snapshots summary report. Silver Spring, MD: U.S. Food and Drug Administration, 2020. Available at: https://www.fda.gov/media/145718/download.
4. United States Census Bureau. Quick factors, Race and Hispanic origin. Washington, DC: U.S. Census Bureau, 2019. Available at: https://www.census.gov/quickfacts/fact/table/US/PST045219.
5. Burke JF, Brown DL, Lisabeth LD, et al. Enrollment of women and minorities in NINDS trials. Neurology. 2011 Jan 25;76(4):354–60. Epub 2011 Jan 5. https://doi.org/10.1212/WNL.0b013e3182088260 PMid:21209376
6. Spanakis EK, Golden SH. Race/ethnic difference in diabetes and diabetic complications. Curr Diab Rep. 2013 Dec;13(6):814–23. https://doi.org/10.1007/s11892-013-0421-9 PMid:24037313
7. Centers for Disease Control and Prevention. Diabetes Report Card. Atlanta, GA: Centers for Disease Control and Prevention, 2012. Available at: https://www.cdc.gov/diabetes/pubs/pdf/diabetesreportcard.pdf.
8. Fernández A, Quan J, Moffet H, et al. Adherence to newly prescribed diabetes medications among insured Latino and White patients with diabetes. JAMA Intern Med. 2017 Mar 1;177(3):371–9. https://doi.org/10.1001/jamainternmed.2016.8653 PMid:28114642
9. Davis SM, Reid R. Practicing participatory research in American Indian communities. Am J Clin Nutr. 1999 Apr;69(4 Suppl):755S–9S. https://doi.org/10.1093/ajcn/69.4.755S PMid:10195598
10. Evans KR, Lewis MJ, Hudson SV. The role of health literacy on African American and Hispanic/Latino perspectives on cancer clinical trials. J Cancer Educ. 2012 Jun;27(2):299–305. https://doi.org/10.1007/s13187-011-0300-5 PMid:22203466
11. Toledo L, McLellan-Lemal E, Arreola S, et al. African-American and Hispanic perceptions of HIV vaccine clinical research: a qualitative study. Am J Health Promot. 2014 Nov–Dec;29(2):e82–90. Epub 2014 Jan 16. https://doi.org/10.4278/ajhp.130125-QUAL-48 PMid:24432823
12. Mohan A, Riley B, Schmotzer B, et al. Improving medication understanding among Latinos through illustrated medication lists. Am J Manag Care. 2014 Dec 1;20(12): e547–55.
13. Kruper L, Chavez T, Jones V, et al. Challenging the homogeneity of clinical trials to include women of diverse races/ethnicities. Ann Surg Oncol. 2018 Feb;25(Suppl 1):S43. https://doi.org/10.1245/s10434-018-6349-1 PMid:29214449
14. Perrino T, Estrada Y, Huang S, et al. Predictors of participation in an eHealth, family-based preventive intervention for Hispanic youth. Prev Sci. 2018 Jul;19(5): 630–41. https://doi.org/10.1007/s11121-016-0711-y PMid:27704326
15. Perales-Puchalt J, Shaw A, McGee JL, et al. Preliminary efficacy of a recruitment educational strategy on Alzheimer's disease knowledge, research participation attitudes, and enrollment among Hispanics. Hisp Health Care Int. 2020 Sep;18(3):144–9. Epub 2019 Dec 15. https://doi.org/10.1177/1540415319893238 PMid:31840539
16. Carlson M, Jackson J, Mandel D, et al. Predictors of retention among African American and Hispanic older adult research participants in the Well Elderly 2 randomized controlled trial. J Appl Gerontol. 2014 Apr;33(3):357–82. Epub 2013 Mar 21. https://doi.org/10.1177/0733464812471444 PMid:24652865
17. Rikin S, Shea S, LaRussa P, et al. Factors associated with willingness to participate in a vaccine clinical trial among elderly Hispanic patients. Contemp Clin Trials Commun. 2017 Jun 24;7:122–5. https://doi.org/10.1016/j.conctc.2017.06.010 PMid:29696176
18. Garbin Di Luca D, Hodgeman KC, Pothier LM, et al. Minorities in Parkinson's Disease Clinical Trials: A comparative assessment of recruitment strategies and enrollment in STEADY-PD III and SURE-PD3 trials. Mov Disord. 2019 Apr;34(Supplement 1): S15.
19. Sanossian N, Rosenberg L, Liebeskind DS, et al. A dedicated Spanish language line increases enrollment of Hispanics into prehospital clinical research. Stroke. 2017 May;48(5):1389–91. Epub 2017 Apr 7. https://doi.org/10.1161/STROKEAHA.117.014745 PMid:28389617
20. Calva A, Matthew RA, Orpinas P. Overcoming barriers: practical strategies to assess Latinos living in low-income communities. Health Promot Pract. 2020 May;21(3):355–62. Epub 2019 Mar 22. https://doi.org/10.1177/1524839919837975 PMid:30902031
21. Burrow-Sanchez JJ, Meyers K, Corrales C, et al. The influence of cultural variables on treatment retention and engagement in a sample of Mexican American adolescent males with substance use disorders. Psychol Addict Behav. 2015 Dec;29(4):969–77. Epub 2015 Jul 13. https://doi.org/10.1037/adb0000096 PMid:26168226
22. Chalela P, Munoz E, Gallion KJ, et al. Empowering Latina breast cancer patients to make informed decisions about clinical trials: a pilot study. Transl Behav Med. 2018 May 23;8(3):439–49. https://doi.org/10.1093/tbm/ibx083 PMid:29800408
23. Ashing K, Rosales M, Fernandez A. Exploring the influence of demographic and medical characteristics of African-American and Latinas on enrollment in a behavioral intervention study for breast cancer survivors. Qual Life Res. 2015 Feb;24(2):445–54. Epub 2014 Jul 19. https://doi.org/10.1007/s11136-014-0758-9 PMid:25037246
24. Barrera AZ, Kelman AR, Munoz RF. Keywords to recruit Spanish- and Englishspeaking participants: evidence from an online postpartum depression randomized controlled trial. J Med Internet Res. 2014 Jan 9;16(1):e6. https://doi.org/10.2196/jmir.2999 PMid:24407163
25. De La Rosa M, Babino R, Rosario A, et al. Challenges and strategies in recruiting, interviewing, and retaining recent Latino immigrants in substance abuse and HIV epidemiologic studies. Am J Addict. 2012 Jan–Feb;21(1):11–22. Epub 2011 Dec 15. https://doi.org/10.1111/j.1521-0391.2011.00193.x PMid:22211342
26. Hernandez M, Franco R, Kopelowicz A, et al. lessons learned in clinical research recruitment of immigrants and minority group members with first-episode psychosis. J Immigr Minor Health. 2019 Feb;21(1):123–8. https://doi.org/10.1007/s10903-018-0704-y PMid:29368059
27. Herrera L, Markle SL, Fukuda M, et al. Predictors of research assessment completion in a Latino sample with dual disorders. J Immigr Minor Health. 2020 Oct;22(5):1094–100. https://doi.org/10.1007/s10903-020-01010-9 PMid:32347414
28. Lanier Y, Campo A, Lavarin C, et al. Methodological strategies to engage young Black and Latino heterosexual couples in sexual and reproductive health research. BMC Health Serv Res. 2020 May 4;20(1):375. https://doi.org/10.1186/s12913-020-05202-9 PMid:32366309
29. Lora CM, Ricardo AC, Brecklin CS, et al. Recruitment of Hispanics into an observational study of chronic kidney disease: The Hispanic Chronic Renal Insufficiency Cohort Study experience. Contemp Clin Trials. 2012 Nov;33(6):1238–44. Epub 2012 Jul 27. https://doi.org/10.1016/j.cct.2012.07.012 PMid:22841929
30. Martin A, Negron R, Balbierz A, et al. Recruitment of Black and Latina women to a randomized controlled trial. J Health Care Poor Underserved. 2013 Aug;24(3):1102–14. https://doi.org/10.1353/hpu.2013.0125 PMid:23974384
31. Martin MA, Swider SM, Olinger T, et al. Recruitment of Mexican American adults for an intensive diabetes intervention trial. Ethn Dis. 2011 Winter;21(1):7–12.
32. Ritchie A, Gwadz MV, Perlman D, et al. Eliminating racial/ethnic disparities in AIDS clinical trials in the United States: a qualitative exploration of an efficacious social/behavioral intervention. J AIDS Clin Res. 2017 Jan;8(1):648. Epub 2016 Dec 29.
33. Strom C, Weaver KE, Ruiz J, Winkfield KM. Hispanic patient navigation: an intervention to increase clinical trial participation. Cancer Epidemiol Biomarkers Prev. 2018 Jul;27(7 Supplement):A20. https://doi.org/10.1158/1538-7755.DISP17-A20
34. Cunningham-Erves J, Barajas C, Mayo-Gamble TL, et al. Formative research to design a culturally-appropriate cancer clinical trial education program to increase participation of African American and Latino communities. BMC Public Health. 2020 Jun 3;20(1):840. https://doi.org/10.1186/s12889-020-08939-4 PMid:32493245
35. Matsuda Y, Martinez M, Beeber LS. Caring as a facilitator of sensitive research studies with immigrant Latino families. Int J Hum Caring. 2017;21(1):26–31. https://doi.org/10.20467/1091-5710-21.1.26 PMid:30464376
36. Naito A, DeLeon R, Cubillos F, et al. Development and impact of the Hispanic Parkinson's Advisory Council on the education and recruitment of the Hispanic PD population in clinical research. Mov Disord Clin Pract. 2020 Feb;7(Suppl 1):S38.
37. Polanco FR, Dominguez DC, Grady C, et al. Conducting HIV research in racial and ethnic minority communities: building a successful interdisciplinary research team. J Assoc Nurses AIDS Care. 2011 Sep–Oct;22(5):388–96. Epub 2011 Feb 1. https://doi.org/10.1016/j.jana.2010.10.008 PMid:21277228
38. Quinn GP, McIntyre J, Gonzalez LE, et al. Improving awareness of cancer clinical trials among Hispanic patients and families: audience segmentation decisions for a media intervention. J Health Commun. 2013;18(9):1131–47. Epub 2013 May 2. https://doi.org/10.1080/10810730.2013.768723 PMid:23639101
39. Rangel DE, Valdez CR. A culturally sensitive approach to large-scale prevention studies: a case study of a randomized controlled trial with low-income Latino communities. J Prim Prev. 2017 Dec;38(6):627–45. https://doi.org/10.1007/s10935-017-0487-2 PMid:28866843
40. Sadler GR, Gonzalez J, Mumman M, et al. Adapting a program to inform African American and Hispanic American women about cancer clinical trials. J Cancer Educ. 2010 Jun;25(2):142–5. https://doi.org/10.1007/s13187-009-0032-y PMid:20146043
41. Simon MA, de la Riva EE, Bergan R, et al. Improving diversity in cancer research trials: the story of the Cancer Disparities Research Network. J Cancer Educ. 2014 Jun;29(2):366–74. https://doi.org/10.1007/s13187-014-0617-y PMid:24519744
42. Trevino M, Padalecki S, Karnad A, et al. The development of a minority recruitment plan for cancer clinical trials. J Community Med Health Educ. 2013 Sep 1;3(5):1000230. https://doi.org/10.4172/2161-0711.1000230 PMid:25152846
43. Skinner JS, Fair AM, Holman AS, et al. The impact of an educational video on clinical trial enrollment and knowledge in ethnic minorities: a randomized control trial. Front Public Health. 2019 Apr 26;7:104. https://doi.org/10.3389/fpubh.2019.00104 PMid:31106188
44. Wieder R, Teal R, Saunders T, et al. Establishing a minority-based community clinical oncology program: the University of Medicine and Dentistry of New Jersey, New Jersey Medical School-university Hospital Cancer Center experience. J Oncol Pract. 2013 Mar;9(2):e48–54. https://doi.org/10.1200/JOP.2012.000648 PMid:23814524
45. Cruz TH, Davis SM, FitzGerald CA, et al. Engagement, recruitment, and retention in a trans-community, randomized controlled trial for the prevention of obesity in rural American Indian and Hispanic children. J Prim Prev. 2014 Jun;35(3):135–49. https://doi.org/10.1007/s10935-014-0340-9 PMid:24549525
46. Vincent D, McEwen MM, Hepworth JT, et al. Challenges and success of recruiting and retention for a culturally tailored diabetes prevention program for adults of Mexican descent. Diabetes Educ. 2013 Mar–Apr;39(2):222–30. Epub 2013 Feb 25. https://doi.org/10.1177/0145721713475842 PMid:23439692
47. Brown SD, Partee PN, Feng J, et al. Outreach to diversify clinical trial participation: a randomized recruitment study. Clin Trials. 2015 Jun;12(3):205–11. Epub 2015 Feb 2. https://doi.org/10.1177/1740774514568125 PMid:25644997
48. Dobkin RD, Amondikar N, Kopil C, et al. Innovative recruitment strategies to increase diversity of participation in parkinson's disease research: The Fox Insight cohort experience. J Parkinsons Dis. 2020;10(2):665–75. https://doi.org/10.3233/JPD-191901 PMid:32250321
49. Tiwari T, Casciello A, Gansky SA, et al. Recruitment for health disparities preventive intervention trials: the early childhood caries collaborating centers. Prev Chronic Dis. 2014 Aug 7;11:E133. https://doi.org/10.5888/pcd11.140140 PMid:25101490
50. Pelto DJ, Sadler GR, Njoku O, et al. Adaptation of a cancer clinical trials education program for African American and Latina/o community members. Health Educ Behav. 2016 Aug;43(4):381–8. Epub 2015 Oct 21. https://doi.org/10.1177/1090198115610555 PMid:26493870
51. Wells KJ, McIntyre J, Gonzalez LE, et al. Feasibility trial of a Spanish-language multimedia educational intervention. Clin Trials. 2013 Oct;10(5):767–74. Epub 2013 Aug 9. https://doi.org/10.1177/1740774513495984 PMid:23935161
52. Langford A, Studts JL, Byrne MM. Improving knowledge and decision readiness to participate in cancer clinical trials: Effects of a plain language decision aid for minority cancer survivors. Patient Educ Couns. 2021 Feb;104(2):422–6. Epub 2020 Jul 7. https://doi.org/10.1016/j.pec.2020.07.005 PMid:32660742
53. Patel SN, Staples JN, Garcia C, et al. Are ethnic and racial minority women less likely to participate in clinical trials? Gynecol Oncol. 2020 May;157(2):323–8. Epub 2020 Apr 3. https://doi.org/10.1016/j.ygyno.2020.01.040 PMid:32253046
54. Rangel ML, Heredia NI, Reininger B, et al. Educating Hispanics about clinical trials and biobanking. J Cancer Educ. 2019 Dec;34(6):1112–9. https://doi.org/10.1007/s13187-018-1417-6 PMid:30112612
55. Ailinger RL, Martyn D, Lasus H, et al. The effect of a cultural intervention on adherence to latent tuberculosis infection therapy in Latino immigrants. Public Health Nurs. 2010 Mar–Apr;27(2):115–20. https://doi.org/10.1111/j.1525-1446.2010.00834.x PMid:20433665
56. Brown DL, Cowdery JE, Jones TS, et al. Adolescent knowledge and attitudes related to clinical trials. Clin Trials. 2015 Jun;12(3):212–4. Epub 2015 Feb 10. https://doi.org/10.1177/1740774515571443 PMid:25673637
57. Daverio-Zanetti S, Schultz K, del Campo MA, et al. Is religiosity related to attitudes toward clinical trials participation? J Cancer Educ. 2015 Jun;30(2):220–4. https://doi.org/10.1007/s13187-014-0696-9 PMid:24953236
58. Higashi RT, Craddock Lee SJ, Leonard T, et al. Multiple comorbidities and interest in research participation among clients of a nonprofit food distribution site. Clin Transl Sci. 2015 Oct;8(5):584–90. Epub 2015 Aug 17. https://doi.org/10.1111/cts.12325 PMid:26277918
59. Kurt A, Semler L, Jacoby JL, et al. Racial differences among factors associated with participation in clinical research trials. J Racial Ethn Health Disparities. 2016 Sep 8. https://doi.org/10.1007/s40615-016-0285-1 PMid:27631379
60. Occa A, Morgan SE, Potter JE. Underrepresentation of Hispanics and other minorities in clinical trials: recruiters' perspectives. J Racial Ethn Health Disparities. 2018 Apr;5(2):322–32. Epub 2017 Apr 27. https://doi.org/10.1007/s40615-017-0373-x PMid:28452008
61. Rivera-Goba MV, Dominguez DC, Stoll P, et al. Exploring decision-making of HIV-infected Hispanics and African Americans participating in clinical trials. J Assoc Nurses AIDS Care. 2011 Jul–Aug;22(4):295–306. Epub 2011 Jan 21. https://doi.org/10.1016/j.jana.2010.10.007 PMid:21256054
62. Wallington SF, Luta G, Noone AM, et al. Assessing the awareness of and willingness to participate in cancer clinical trials among immigrant Latinos. J Community Health. 2012 Apr;37(2):335–43. https://doi.org/10.1007/s10900-011-9450-y PMid:21805372
63. Damron L, Litvan I, Shill H, et al. Hispanic perspectives on Parkinson's disease care and research participation. Mov Disord. 2019 Apr;34 (Supplement 1):S14.
64. Hooper MW, Asfar T, Unrod M, et al. Reasons for exclusion from a smoking cessation trial: An analysis by race/ethnicity. Ethn Dis. 2019 Jan 17;29(1):23–30. https://doi.org/10.18865/ed.29.1.23 PMid:30713413
65. Livaudais-Toman J, Burke NJ, Napoles A, et al. Health literate organizations: are clinical trial sites equipped to recruit minority and limited health literacy patients? J Health Dispar Res Pract. 2014;7(4):1–13.
66. London L, Hurtado-de-Mendoza A, Song M, et al. Motivators and barriers to Latinas' participation in clinical trials: the role of contextual factors. Contemp Clin Trials. 2015 Jan;40:74–80. Epub 2014 Nov 26. https://doi.org/10.1016/j.cct.2014.11.013 PMid:25433203
67. Osann K, Wenzel L, Dogan A, et al. Recruitment and retention results for a population-based cervical cancer biobehavioral clinical trial. Gynecol Oncol. 2011 Jun 1;121(3):558–64. Epub 2011 Mar 12. https://doi.org/10.1016/j.ygyno.2011.02.007 PMid:21402400
68. Baghikar S, Benitez A, Fernandez Pineros P, et al. Factors impacting adherence to diabetes medication among urban, low income Mexican-Americans with diabetes. J Immigr Minor Health. 2019 Dec;21(6):1334–41. https://doi.org/10.1007/s10903-019-00867-9 PMid:30798408
69. Byrne MM, Tannenbaum SL, Gluck S, et al. Participation in cancer clinical trials: why are patients not participating? Med Decis Making. 2014 Jan;34(1):116–26. Epub 2013 Jul 29. https://doi.org/10.1177/0272989X13497264 PMid:23897588
70. Tsevat RK, Breitkopf CR, De Roche AM, et al. Parents' attitudes toward adolescent participation in a hypothetical clinical trial: Changes over one year. Journal of Adolescent Health. 2018 Feb;62 (2 Supplement 1):S55. https://doi.org/10.1016/j.jadohealth.2017.11.112
71. Tong T, Myers AK, Bissoonauth AA, et al. Identifying the barriers and perceptions of non-Hispanic Black and Hispanic/Latino persons with uncontrolled type 2 diabetes for participation in a home Telemonitoring feasibility study: a quantitative analysis of those who declined participation, withdrew or were non-adherent. Ethn Health. 2020 May;25(4):485–94. Epub 2019 Jan 15. https://doi.org/10.1080/13557858.2019.1566520 PMid:30644784
72. Bruner DW, Pugh SL, Yeager KA, et al. Cartographic mapping and travel burden to assess and develop strategies to improve minority access to national cancer clinical trials. Int J Radiat Oncol Biol Phys. 2015 Nov 1;93(3):702–9. Epub 2015 Jul 10. https://doi.org/10.1016/j.ijrobp.2015.06.041 PMid:26281827
73. Chang TE, Brill CD, Traeger L, et al. Association of race, ethnicity and language with participation in mental health research among adult patients in primary care. J Immigr Minor Health. 2015 Dec;17(6):1660–9. https://doi.org/10.1007/s10903-014-0130-8 PMid:25398517
74. Diehl KM, Green EM, Weinberg A, et al. Features associated with successful recruitment of diverse patients onto cancer clinical trials: Report from the american college of surgeons oncology group. Ann Surg Oncol. 2011 Dec;18(13):3544–50. Epub 2011 Jun 17. https://doi.org/10.1245/s10434-011-1818-9 PMid:21681382
75. Langford A, Resnicow K, An L. Clinical trial awareness among racial/ethnic minorities in HINTS 2007: sociodemographic, attitudinal, and knowledge correlates. J Health Commun. 2010;15 Suppl 3(0 3):92–101. https://doi.org/10.1080/10810730.2010.525296 PMid:21154086
76. Chen MS, Jr, Lara PN, Dang JHT, Paterniti DA, Kelly K. Twenty years post-NIH Revitalization Act: enhancing minority participation in clinical trials (EMPaCT): laying the groundwork for improving minority clinical trial accrual: renewing the case for enhancing minority participation in cancer clinical trials. Cancer. 2014 Apr 1;120 Suppl 7(0 7):1091–6. https://doi.org/10.1002/cncr.28575 PMid:24643646
77. Khubchandani J, Balls-Berry J, Price JH, et al. Community-engaged strategies to increase diversity of participants in health education research. Health Promot Pract. 2016 May;17(3):323–7. Epub 2016 Apr 18. https://doi.org/10.1177/1524839916644713 PMid:27091602
78. UyBico SJ, Pavel S, Gross CP. Recruiting vulnerable populations into research: a systematic review of recruitment interventions. J Gen Intern Med. 2007 Jun;22(6):852–63. Epub 2007 Mar 21. https://doi.org/10.1007/s11606-007-0126-3 PMid:17375358
79. Yancey AK, Ortega AN, Kumanyika SK. Effective recruitment and retention of minority research participants. Annu Rev Public Health. 2006;27:1–28. https://doi.org/10.1146/annurev.publhealth.27.021405.102113 PMid:16533107
80. López-Cevallos DF, Harvey SM, Warren JT. Medical mistrust, perceived discrimination, and satisfaction with health care among young-adult rural latinos. J Rural Health. 2014 Fall;30(4):344–51. Epub 2014 Feb 27. https://doi.org/10.1111/jrh.12063 PMid:24576017
81. LaVeist TA, Isaac LA, Williams KP. Mistrust of health care organizations is associated with underutilization of health services. Health Serv Res. 2009 Dec;44(6):2093–105. Epub 2009 Sep 2. https://doi.org/10.1111/j.1475-6773.2009.01017.x PMid:19732170
82. Duma N, Aguilera JV, Paludo J, et al. Representation of minorities and women in oncology clinical trials: review of the past 14 years. J Oncol Pract. 2018 Jan;14(1):e1–10. Epub 2017 Nov 3. https://doi.org/10.1200/JOP.2017.025288 PMid:29099678
83. George S, Duran N, Norris K. A systematic review of barriers and facilitators to minority research participation among African Americans, Latinos, Asian Americans, and Pacific Islanders. Am J Public Health. 2014 Feb;104(2):e16–31. Epub 2013 Dec 12. https://doi.org/10.2105/AJPH.2013.301706 PMid:24328648
84. Winter SS, Page-Reeves JM, Page KA, et al. Inclusion of special populations in clinical research: important considerations and guidelines. J Clin Transl Res. 2018 Apr 7;4(1):56–69.

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