Promoting Factors and Barriers to Participation in Early Phase Clinical Trials: Patients Perspectives

Abstract

Background

Inclusion of minorities in clinical research is an essential step to develop novel cancer treatments, improve health care overall, understand potential differences in pharmacogenomics and address minorities’ disproportionate cancer burden. However, Latinos and other minority groups continue to be critically underrepresented, particularly in early-phase clinical trials (EPCTs). The objective of the present study was to explore barriers and promoting factors influencing patients’ decisions to enroll or not in early phase clinical trials (EPCTs) and identify areas for intervention to increase minority enrollment into clinical research.

Methods

An interviewer-administered survey was conducted with 100 cancer patients in the predominantly Latino region of South Texas. Exploratory factor analysis was conducted to identify underlying dimensions, and multiple logistic regression assessed significant factors that promote or deter patients enrollment to EPCTs. In addition, a separate subgroup mean analysis assessed differences by enrollment status and race/ethnicity.

Results

For one standard deviation increase in the importance given to the possibility of symptoms improvement, the predicted odds of refusing enrollment were 3.20 times greater (OR=3.20, 95% CI=1.06–9.71, p 0.040). Regarding barriers, among patients who considered fear/uncertainty of the new treatment a deterrent to enrollment, one standard deviation increase in agreement with these barriers was associated with a 3.60 increase (OR=3.60, 95% CI=1.30–9.97h, p 0.014) in the odds of not being enrolled in an EPCT. In contrast, non-enrolled patients were less likely (OR=0.14, 95% CI=0.05–0.44, p 0.001) to consider fatalistic beliefs as an important barrier.

Conclusion

This study, one of the first to identify South Texas patients’ barriers to enroll in EPCTs, highlights potential focal areas to increase participation of both minority and non-minority patients in clinical research. Culturally tailored interventions promoting patient-centered care and bilingual, culturally competent study teams could solve common barriers and enhance Latinos’ likelihood of joining clinical trials. These interventions may simultaneously increase opportunities to involve patients and physicians in clinical trials, while ensuring the benefits of participation are equitably distributed to all patients.

INTRODUCTION

Adequate inclusion of minorities in clinical research is an essential step to develop novel cancer treatments, improve health care overall, understand potential differences in pharmacogenomics [1, 2], and address minorities’ disproportionate cancer burden [3–5]. Without adequate minority representation in early-phase clinical trials (EPCTs; referring to trials in Phase I or II), researchers cannot assess differential effects among groups or ensure the generalizability of trial results [3, 5, 6]. However, inclusion of underrepresented groups in clinical trials has proven a significant challenge. Almost two decades after the National Institutes of Health (NIH) mandate to ensure inclusion of women and minorities in clinical research, Latinos and other minority groups continue to be critically underrepresented [3, 5]. Of all patients enrolled in publicly funded National Cancer Institute (NCI) clinical trials, only 8% were African American and 5% were Latinos [5, 7]. These populations experience disparities in cancer incidence, mortality, survival, and other cancer care issues [4, 8–10].

Barriers to the participation of minorities in clinical trials include study design (e.g., protocol length and complexity, patient exclusion criteria), healthcare system barriers (e.g., lack of cultural competence among staff, lack of minority staff), and physician- (e.g., lack of referrals and misconceptions about patients’ compliance) and patient-related factors [11–17].

Patients’ most frequently cited barriers to EPCTs participation include lack of awareness of available clinical trials, lack of knowledge about disease and treatment options, and lack of understanding about the trial process, including randomization, and treatment preference [11, 12, 14, 17–20]. Potential trial participants raise additional fears related to unknown reactions and side effects, the possibility of sacrificing quality of life, fear of being a guinea pig, and feelings of lost control [3, 11–14, 17, 19, 21]. The most frequently cited barriers to clinical trial participation were mistrust of research and the medical system [3, 12]. Practical barriers, such as lack of transportation, lack of health insurance, financial constraints, lack of family support, trial duration, and high frequency of office visits also have been found to deter patients from participating in clinical research [3, 11, 12, 14, 17]. In addition, language, acculturation, health literacy, attitudes, beliefs, and lack of knowledge regarding clinical research pose additional barriers to participation [12, 17–19]. Other barriers include lack of physician referrals, comorbidities that may limit provider referrals, recruitment criteria or investigator recruitment bias (e.g., investigator feels the case is too complex), trials not always available at the patient’s designated treatment sites, and provider-patient communication issues [11, 12, 14–20].

Frequently cited factors that promote participation in clinical trials include expectations for health improvement, the opportunity to access the latest and best treatment, the potential to control the disease or improve chances for a cure, the benefit to other future patients, and feelings of hope. Additional factors include family and social influences, recommendations from one’s own doctor, and provision of transportation and incentives [3, 11, 12, 18, 21–28].

While researchers have focused on later-phase clinical trials, very little is known about the factors that impact enrollment of patients—particularly Latinos and other minorities—into EPCTs. Although later-phase trial research provide insight on improving accrual into EPCT, differences in EPCTs—eligibility criteria, expected clinical outcomes, and limited geographic availability—inferences from later stage trials may not be generalizable. In contrast to later-phase trials, EPCT patients usually have no known effective treatment options, have had multiple-relapses or were refractory, and have exhausted nearly all conventional options without success, and thus face unique concerns, including end-of-life issues [19]. Unfortunately, there is limited knowledge about how to design effective interventions that would increase minority enrollment in EPCTs.

This study aimed to explore barriers and promoting factors influencing patients’ decisions to enroll or not in early-phase clinical trials (EPCTs) and identify areas for intervention to increase minority enrollment into clinical research at the Cancer Therapy and Research Center (CTRC). The CTRC, a National Cancer Institute (NCI)-designated cancer center at the University of Texas Health Science Center at San Antonio, is the only cancer center in South Texas, a 38-county region that is predominantly Hispanic (69%).

MATERIAL AND METHODS

Participants and Data Collection

Participants were patients receiving treatment at the Cancer Therapy and Research Center (CTRC). An interviewer-administered survey was conducted with 100 cancer patients identified through medical records to explore barriers and promoting factors associated with EPCT enrollment decisions. Among the 100 patients, 50 were enrolled in EPCTs and 50 were not enrolled in an EPCT and would decline if invited. These latter patients were asked about their hypothetical participation in an EPCT if given that option. Patients who responded that they would not enroll in a clinical trial were invited to take the survey. This method of selecting a comparison group to EPCT enrollees was chosen because of the difficulties recruiting participants who had already rejected the invitation to be in an EPCT, given that there was no information of their refusal in their medical records. All participants were informed of the survey’s anonymity, purpose (identify promoters/barriers patients face in EPCT participation decisions) and use of study results (guiding an intervention to reduce barriers and increase EPCT participation among minorities, particularly Latinos). Patients were approached at the clinic by a member of the research team and invited to participate in the study. Those who agreed to participate were interviewed while they were receiving or waiting for their clinical trial treatment. The study was approved by the corresponding Institutional Review Board and all participants received a thank-you note and a $25 gift certificate for their effort (Figure 1).

Figure 1.

Participant Recruitment Flow Chart

Survey Instrument

The questionnaire was developed based on information obtained from patient telephone interviews, a careful review of the literature, the research team’s own experience [15, 16], questionnaires received from external researchers [18, 22, 25–31], and discussion with CTRC oncologists. The instrument then was reviewed by the research team and pre-tested with 10 CTRC cancer patients. The research team analyzed pre-test results, made necessary modifications, and finalized the survey. The survey took approximately 20 minutes to administer and was conceptualized on four general modules: information preferences, promoting factors, barriers to participation, and background/demographic information.

Measures

Relevant demographic and background variables included information about the participant’s country of origin, age, gender, ethnic identification, marital status, health insurance status, educational level, occupation, income, and previous participation in a clinical trial. The survey also included two items about how the participant first heard about EPCTs (for clinical trial participants only) and the most effective ways to inform cancer patients about EPCTs (for all participants).

Promoters that encourage patients to participate in EPCTs included items about direct therapeutic benefit of new treatment (i.e. “Possibility that experimental treatment would control cancer”), high-quality medical care and follow-up (e.g. “Possibility of obtaining high-quality medical care), patient desire to try something new, encouragement by family and friends to join, not having a better option available, desire to be part of a research study and help future cancer patients, hope, and clarity or information received made easy to decide to participate. Barriers included items about the decision-making process (e.g. “Lack of understanding of trial process/purpose due to communication problems”), socioeconomic factors (e.g. “Cost/lack of health insurance), distance and time expected to travel to the trial center, trial-related factors (e.g. “Having blood samples taken”), and beliefs and attitudinal factors (e.g. “Belief that disease is a death sentence”).

Data Analysis

Twenty four cases had missing income data, an important variable widely known to be associated with enrollment. Cases with missing income data were compared with those with complete data and no significant differences were found in any key study variables. After conducting a Missing Completely at Random (MCAR) test, imputation of missing values was performed using the Expectation Maximization algorithm provided by SPSS 20 [32–34], to improve efficiency of the regression analyses.

Descriptive statistics were used to summarize sociodemographic items and prior participation in clinical trials. Contingency table analysis was used for categorical variables (exact Chi-square test for nominal variables and Chi-square test for trend for ordinal variables) and comparison of means with t-tests for continuous variables were also used to assess differences between enrolled and non-enrolled participants.

Given the relatively small sample size and the number of promoter and barrier items, an exploratory factor analysis with the alpha factoring extraction method, based on maximizing the reliability of factors, was conducted to identify correlated items that could represent one or more underlying dimensions of promoters and barriers [35]. Anderson-Rubin and simple sum methods were used to obtain factor scores for each dimension, and were evaluated using means testing [36].

Logistic regression analysis was conducted to assess the association between predictor variables (including sociodemographic factors, promoter- and barrier-related dimensions) and enrollment on EPCTs. Variables were recoded as needed for logistic regression, and standardized scores for predictor variables were used to place the predictors on a common scale so that each had the same mean and standard deviation [37, 38]. Magnitude of associations were represented with the odds ratio (OR) and corresponding 95% confidence interval (95% CI). A step-wise process was used to remove non-significant items, and the most parsimonious model explaining the data was selected based on the log-likelihood statistic.

Finally, a separate subgroup mean analysis was conducted to assess differences by enrollment status and race/ethnicity. All statistical tests were two-sided and a p value of ≤ 0.05 was considered statistically significant. All analyses were conducted using SPSS statistics version 20 [33][IBM, 2011].

RESULTS

Table 1 shows the demographic characteristics of participants. The mean age of participants was 55.2 years (SD= 12.7). Most were born in the US (87%), with a similar distribution by gender (49% males). Forty seven percent were non-Hispanic whites, 39% were Hispanics and only 3% were of other race/ethnicity. Two-thirds were married/living with a significant other (65%), more than half had a high school or less education (57%) and almost two thirds had a family income of $25,000 or lower (64%). Only 16% had previously participated in a clinical trial. There was not a significant difference between the groups—those enrolled in clinical trials and those who were not enrolled and would decline the invitation to do so—by age, gender and insurance. However, significantly more respondents in the group that would not participate were Latinos (p <0.001), married/living with partner (p 0.028), had lower educational levels (p 0.001), had lower family income (p <0.001) and had not participated in a clinical trial before (p <0.001).

Table 1.

Characteristics of Study Participants by Enrollment Status

	EPCT Enrollment				TOTAL
	Enrolled (n= 50)		Non-Enrolleda (n= 50)		(N=100)
	n	%	n	%	N	%	pb
Patient's age: mean, (SD)	56.14 (11.5)		54.24 (13.9)		55.19 (12.7)		0.457
Gender
Male	28	56.0	21	42.0	49	49.0	0.161
Place of birth
United States	47	94.0	40	80.0	87	87.0	0.026
Mexico	1	2.0	9	18.0	10	10.0
Other	2	4.0	1	2.0	3	3.0
Ethnicity
White (non-Hispanic)	39	78.0	8	16.0	47	47.0	<0.001
Hispanic/Latino	8	16.0	31	62.0	39	39.0
Other	3	6.0	11	22.0	14	14.0
Marital status
Married/Living with a significant other	39	78.0	26	52.0	65	65.0	0.028
Separated/Divorced	5	10.0	7	14.0	12	12.0
Widowed	2	4.0	10	20.0	12	12.0
Single/Never married	4	8.0	7	14.0	11	11.0
Educational level
High School or less	19	38.0	38	76.0	57	57.0	0.001
Technical/Some College	12	24.0	6	12.0	18	18.0
College Degree or higher	19	38.0	6	12.0	25	25.0
Employment status
Employed	19	38.0	10	20	29	29.0	0.002
Retired	17	34.0	7	14	24	24.0
Disabled	10	20.0	19	38.0	29	29.0
Unemployed	4	8.0	14	28.0	18	18.0
Have healthcare plan
Yes	46	92.0	41	82.0	87	87.0	0.137
Yearly Household Income
$25,000 or less	21	42.0	43	86.0	64	64.0	<0.001
$26,000 – $50,000	9	18.0	6	12.0	15	15.0
$51,000 and above	20	40.0	1	2.0	21	21.0
Have participated in clinical trials before
Yes	15	30.0	1	2.0	16	16.2	<0.001

^aNon- Enrolled patients were not asked by their doctor to participate in an EPCT but responded no to a hypothetical question asking them if they would participate if offered that option.

^bTwo-sided p-value from Chi-square tests for comparison of proportions and independent t-test for comparison of means.

Table 2 shows the dimensions identified through exploratory factor analysis for promoter and barrier items included in the survey.

Table 2.

Dimensions Identified through Exploratory Factor Analysis and Original Survey Items

Dimension	Original Survey Items
PROMOTERS – TREATMENT OUTCOME EXPECTATIONa
Symptoms improvement	▪Possibility that experimental treatment would not cause adverse/severe side effects ▪Possibility that experimental treatment would decrease hospitalization ▪Possibility that experimental treatment would improve current side effects ▪Possibility that experimental treatment is better than standard treatment ▪Possibility that experimental treatment would increase your ability to be active
Disease control	▪Possibility of disease improvement ▪Possibility that experimental treatment would control cancer ▪Possibility that experimental treatment would extend length of life ▪Possibility that experimental treatment would cure cancer
High Quality Medical Care	▪Possibility of obtaining careful medical care and follow-up ▪Possibility of obtaining high-quality medical care ▪Possibility that experimental treatment would improve quality of life
PROMOTERS - PERSONAL AND SOCIAL FACTORSa
Hopefulness	▪Not having a better treatment option available ▪Desire to try something new ▪Desire to be part of a research study ▪Joining the study gives hope
Medical team influence	▪Advice received from own doctor to join ▪Trial information received was very clear ▪Desire to help future cancer patients
Social influences	▪Encouragement from friends to join ▪Encouragement from family to join ▪Trust in the Center conducting the trial
BARRIERSb
Decision Making Process	▪Lack of understanding of trial processes/purposes due to communication problems ▪Lack of knowledge about the disease and treatment options ▪Lack of knowledge/information about available trials ▪Doctors do not discuss trial option with patients ▪Being too intimidated to ask questions ▪Reliance on doctor as the most trusted source of information to make the decision
Trial related	▪Having blood samples taken ▪Number of times expected for treatment or evaluation ▪Duration of trial
Socio-economic	▪Travel cost ▪Cost/Lack of health insurance ▪Time expected to travel to the center ▪Distance from trial center ▪Lack of family/social support
Distrust of the medical system	▪Distrust of researchers due to prior personal/family experience ▪Distrust of the medical system ▪Language barriers
Fear / uncertainty	▪Fear of being a guinea pig ▪Fear of sacrificing quality of life ▪Fear that researchers consider the scientific experiment more important than the patients’ health ▪Fear of unknown reactions/side effects
Fatalistic/spiritual beliefs	▪Feelings of hopelessness ▪Beliefs that disease is God’s will and nothing can be done ▪Belief that disease is a death sentence ▪Religious and spiritual beliefs

Response options:

^aNot important = 1 to Very important = 5, higher mean scores indicate higher importance;

^bStrongly disagree = 1 to strongly agree = 4, higher mean scores indicate greater agreement.

Promoter and barrier differences between enrolled and non-enrolled EPCT participants using dimension summary scores are shown in Table 3. Mean differences between the two groups were significant for one dimension (symptoms improvement) within treatment expectations. There were no significant differences between the two groups for dimensions related to social and personal factors. Non-enrolled patients placed greater importance on symptoms improvement than those who were enrolled in EPCTs. In addition, non-enrolled patients were more likely to rank factors related to the possibility of disease control, high quality medical care and follow-up, and the influence of the medical team higher than their enrolled counterparts.

Table 3.

Means Comparison of Summary Scores of Promoters and Barriers by Enrollment Status (N=100)

	EPCT Enrollment
Factors/(min-max values)	Enrolled (n= 50)		Non- Enrolled (n= 50)		pa
	Mean	SD	Mean	SD
Treatment Expectations Promoters
Symptoms improvement (5–25)	18.84	5.32	22.98	2.58	<0.001
Disease control (12–20)	18.92	1.95	18.82	1.78	0.789
High quality medical care (5–15)	13.80	2.05	14.20	1.26	0.243
Personal/Social Promoters
Hopefulness (6–20)	15.22	3.84	15.50	4.17	0.727
Medical team influence (7–15)	13.50	2.43	13.60	1.80	0.815
Social influences (6–15)	12.54	2.53	12.94	2.39	0.418
Barriers
Decision making (6–24)	19.52	4.16	19.82	3.20	0.687
Trial related (3–12)	7.62	2.52	8.20	2.35	0.237
Socioeconomic (8–20)	17.18	3.15	16.92	2.49	0.648
Distrust of the medical system (3–12)	7.10	2.88	8.90	2.84	0.002
Fear/uncertainty of new treatment (4–16)	11.32	3.68	12.66	3.12	0.053
Fatalistic/Spiritual beliefs (4–16)	11.36	3.06	8.66	3.21	<0.001

^aTwo-sided p value from independent t-test.

Regarding barriers to enrollment, both groups tended to agree or strongly agree with decision-making processes, trial-related factors and socioeconomic barriers as important deterrents to participation in clinical trials.

There were significant differences between the two groups for three barrier-related dimensions. Non-enrolled patients tended to give higher score to distrust of the medical system and fear/uncertainty of new treatment, considering them important barriers that would keep them from enrolling in an EPCT, compared to enrolled patients. Interestingly, enrolled patients considered fatalistic and spiritual beliefs important barriers to enrollment while non-enrolled patients tended to neither agree nor disagree with these barriers.

Unadjusted and adjusted odds ratios from the logistic regression model and corresponding to a change in one standard deviation in summary scores are presented in Table 4.

Table 4.

Unadjusted and Adjusted Odd Ratios for Selected Dimensions Associated with Enrollment in EPCT

Factorsa	Unadjusted				Adjustedb
	OR	95% CI		p	OR	95% CI		p
Symptoms improvement	3.81	1.95	7.48	<0.001	3.20	1.06	9.71	0.040
Distrust of the medical system	1.92	1.24	2.96	0.003	1.83	0.83	4.05	0.134
Fear/Uncertainty	1.50	0.99	2.28	0.056	3.60	1.30	9.97	0.014
Fatalistic/Spiritual beliefs	0.40	0.25	0.65	<0.001	0.14	0.05	0.44	0.001

^aStandardized scores for predictor variables were used to place the predictors on a common scale so that each has the same mean and standard deviation

^bORs adjusted by ethnicity, education, income, and marital status.

For one standard deviation increase in the importance given to the possibility of symptoms improvement, the predicted odds of refusing enrollment were 3.20 times greater (OR=3.20, 95% CI=1.06–9.71, p 0.040) holding any other variables in the model constant. Regarding barriers, among patients who considered fear/uncertainty of the new treatment a deterrent to enrollment, one standard deviation increase in agreement with these barriers was associated with a 3.60 increase (OR=3.60, 95% CI=1.30–9.97, p 0.014) in the odds of not being enrolled in an EPCT. In contrast, non-enrolled patients were less likely (OR=0.14, 95% CI=0.05–0.44, p 0.001) to consider fatalistic beliefs as an important barrier to participation.

Subgroup Analysis

To assess differences by enrollment status and race/ethnicity, a subset of the data was selected including only white and Latino patients (N=86) (see Table 5). Enrolled patients were mostly white (83%) while non-enrolled patients were mostly Latinos (80%). Among promoters to enrollment, even though not large, mean differences between the enrolled and non-enrolled groups were significant for symptoms improvement. Considering potential motivators/promoters to enrollment in EPCTs, Latino patients were more likely than white patients to give great importance to factors related to the possibility that the experimental treatment would: 1) not cause adverse/severe side effects; 2) decrease hospitalization; 3) improve current side effects; 4) increase their ability to be active; and 5) be better than the standard treatment.

Table 5.

Means Comparison of Summary Scores of Promoters and Barriers by Enrollment Status and Race/Ethnicity (N=86)

	Enrollment Status by Ethnicity
Factors/(min-max values)	Enrolled (n= 47)				Non Enrolled (n= 39)
	Whites (n=39		Latinos (n=8)		White (n=8)		Latinos (n=31)
	Mean	SD	Mean	SD	Mean	SD	Mean	SD
Symptoms improvement (5–25)	18.54	5.47	21.13	3.31	22.00	2.14	22.97	2.93
Distrust (3–12)	6.90	2.91	6.88	2.48	9.38	3.16	8.90	2.83
Fear/Uncertainty (4–16)	11.49	3.63	9.88	3.80	10.25	3.73	12.61	2.90
Fatalism/Spiritual beliefs (4–16)	11.39	3.21	11.13	2.59	7.50	2.62	9.26	3.53

Regarding factors that would deter their enrollment, there were no differences by ethnicity among enrolled or non-enrolled patients. However, non-enrolled Latinos were more likely than enrolled white patients to agree with barriers related to distrust of the medical system, including distrust of researchers due to prior personal/family experience and language barriers that hamper their communication with their doctor and keep them from clearly understanding the trial purpose and process.

There were no major differences by ethnicity within the enrolled or non-enrolled groups regarding fear and uncertainty of the trial treatment. Despite the similar scores between enrolled and non-enrolled patients, Latinos in the latter group tend to have higher mean scores and agree more that fear and uncertainty of the new treatment is an important barrier in the patients decision to enroll in EPCTs, including: 1) fear of being a guinea pig; 2) fear of sacrificing quality of life; 3) fear of unknown reactions and side effects; and 4) fear that researchers consider the scientific experiment more important than the patient’s health.

Regarding fatalistic attitudes and spiritual beliefs, there were no major differences by ethnicity within enrolled or non-enrolled patients. However, non-enrolled Latino patients were less likely to agree that fatalistic and spiritual beliefs were important barriers to enrollment in an EPCT, compared to their white-enrolled counterparts.

DISCUSSION

Cancer clinical trials are essential to develop new effective treatments and improve cancer patient outcomes and survival. However, the rates of minority patient enrollment in trials, specifically into early-phase clinical trials (EPCTs), continue to be unacceptably low. It has been widely documented that participation of minorities—particularly Latinos—in clinical research is disproportionately low [3, 5, 7]. In concordance, our study shows that non-enrolled patients were more likely to be Latinos, with lower education and income than the mostly white enrolled patients. This may have implications in terms of message development for traditionally underrepresented groups, which may require clear and easy-to-understand information, with more visual materials, lower reading levels, and more information about financial and other support resources available. It also stresses the importance of a culturally competent medical team with a patient-centered approach to deliver the highest-quality care to every patient regardless of race, ethnicity, culture, or language proficiency.

When enrolled patients were asked how they heard about the EPCT they were participating in, most (86%) responded that their own physician told them about the trial. In addition, all patients responded that the best way to inform patients about available clinical trials was their own physician. This supports prior research [15] and reinforces the vital role that physicians play in successfully recruiting patients to cancer clinical trials, given that they can introduce clinical trials as a treatment option to patients and they are considered a trusted source of health information and advice, particularly for Latinos [15, 16]. In addition, patients might be more open to enrollment if physicians are willing to talk with them about clinical research in simple terms and provide clear and easy to understand educational materials in their preferred language preference [39].

Although in the present study both groups tended to strongly agree or agree with all promoting factors and barriers to enrollment, there were significant differences (between white and Latino patients) for one promoter—symptoms improvement—and three barriers related to distrust of the medical system, fear and uncertainty of the trial treatment, and fatalistic attitudes.

Research has shown that while patients understand that personal therapeutic benefit is not the focus of EPCTs, the potential for such therapeutic benefit is one of the most important motivators for participation [19, 21]. The present study demonstrates that patients may be motivated to enroll if they perceive that the trial treatment may give them the capacity to control cancer, extending length and quality of life, and obtaining high-quality medical care and follow-up. Good communication about the purpose, potential risks, and benefits of EPCTs with patients who often have exhausted all conventional cancer treatments is difficult [40]. Many patients and their families may have unrealistic expectations about the therapeutic intent of EPCTs, highlighting the importance of developing strategies to aid physicians and patients with these vital conversations [40]. These may include training physicians to enhance their self-efficacy and communication skills to provide clear information about the purpose and process of the EPCT, discuss risks of unknown side effects, provide prognostic information, and verify patients’ understanding of the information provided.

Programs aimed at increasing participation of Latinos in EPCTs need to pay special attention to creating a trusted doctor/patient relationship with a non-intimidating atmosphere, presenting clear and easy-to-understand information about the EPCTs, and the potential risks and benefits for patients and society, as well as the importance of involving the family from the beginning of the recruitment process, preferably in the patient’s language of choice. Socioeconomic barriers are highly important, and some traditionally underrepresented patients may need special assistance with finding financial aid, facilitating access to treatment locations, and making treatment delivery as easy as possible. Patient navigation, as an integral part of a culturally competent healthcare team, is an effective strategy in providing equal access to clinical trials and facilitating patient recruitment and retention by reducing common barriers faced by minority and other underserved cancer patients. Patient navigation may serve as a bridge between the patient and the medical team, addressing communication, cultural and health system issues, and ensuring patients understand the information received to make an informed decision, and won’t get lost in the system.

Fears related to being a research subject were also very important, as well as concerns about sacrificing quality of life. This also highlights the need for physicians to develop a trusting relationship with potential participants and to give them confidence that the treating researchers will respect them and provide the best care possible, regardless of their research interest.

There are several limitations to consider when interpreting study results. Non-enrolled patients were patients who rejected a hypothetical invitation to enroll and not actual patients who were invited and refused participation in an EPCT, and therefore may not be comparable. However, their responses provide insight into the minds of people not inclined to participate in EPCTs. Participating patients may not comprise a nationally representative sample, and their responses may differ from those who did not respond to the survey. The small sample size may have limited the power of the study to detect statistically significant differences and associations between the selected predictors and the outcome variable and limited the assessment of interaction effects between enrollment status and ethnicity. In addition, study findings cannot be generalized to the broader community of cancer patients who are enrolled or denied enrollment in EPCTs.

It was evident throughout the course of the study, the importance of physicians documenting whether eligible patients have declined participation in an EPCT and their reasons to do so. This will help identify where gaps are in trial access and the recruitment process, and determine what strategies need to be implemented to enhance patient enrollment in clinical research.

It has been documented that minority patients, including Latinos, are as willing to participate in clinical research as non-Hispanic whites when eligible and invited to participate [41]. This suggests that efforts to increase accrual of minorities into clinical trials should also focus on ensuring equal access by offering clinical trials as treatment option to eligible patients, while addressing barriers that prevent their participation [41]. Understanding patients’ attitudes might encourage healthcare professionals to willfully approach more of their eligible patients and also help refine the way they discuss relevant trial-related issues that are of most importance to patients, particularly minority patients [42].

This study, one of the first to identify patients’ barriers to enroll in EPCTs in the predominantly Latino region of South Texas, highlights potential focus areas to increase participation of both minority and non-minority patients in clinical research. More research is necessary to elicit the experiences and opinions of patients who have either agreed or declined to participate in EPCTs to better understand patients’ attitudes and beliefs regarding clinical research, and examine specific factors that promote or hinder their participation. Culturally tailored interventions promoting a patient-centered care and the creation of bilingual culturally competent study teams could solve common barriers and enhance the ability of Latinos to participate in clinical trials. These may simultaneously increase opportunities to involve patients and physicians in clinical trials, while ensuring that the benefits of participation are equitably distributed to patients.