Barriers and facilitators to recruitment to a culturally-based dietary intervention among urban Hispanic breast cancer survivors

Abstract

PURPOSE

To understand factors related to recruitment to behavioral intervention trials among Spanish-speaking urban Hispanic breast cancer (BC) survivors.

METHODS

Potentially eligible Hispanic BC survivors were recruited from the Columbia University Breast Oncology Clinic, signed informed consent, and completed a screening interview on demographics, medical history, acculturation (Short Acculturation Scale for Hispanics), quality of life (QOL), and perceived benefits/risks of research participation. Trial eligibility criteria included stage 0-III BC, completion of adjuvant treatment, Hispanic, fluency in Spanish, willing to be randomized to active arm (9-session in-person culturally-based ¡Cocinar para su salud! dietary modification program) or control arm (written materials). We compared characteristics between eligible women who did and did not enroll in the trial.

RESULTS

102 women completed the screening interview and were eligible to participate. Overall mean age was 57.3±9.5 years, mean time since diagnosis was 3.4±2.1 years, 71% reported annual household income <$15,000 and mean acculturation index score was 1.6±0.6 (scale 1–5, low-high). Of the 102 women, 70 enrolled and 32 declined participation. Reasons stated for non-participation included lack of interest in dietary change, illness, and work constraints. Compared to women who enrolled, women who did not enroll were less likely to be employed (P=0.03) and more likely to only read/speak Spanish (P=0.02). Compared to women who enrolled, non-enrollers were more likely to state that research is costly to participants (P=0.03).

CONCLUSION

Lower participation was associated with unemployment, monolingualism, and the perception that research is costly to participants. Future behavioral intervention trials among minority BC survivors need to account for these and other factors that may be related to trial participation.

INTRODUCTION

Substantial cancer disparities exist among Hispanics, compared to other populations. While the incidence of breast cancer is lower among Hispanic women, when compared to non-Hispanic white women they are more likely to be diagnosed with larger, more advanced tumors, which are ultimately more difficult to cure and lead to poorer outcomes [1]. Modifiable lifestyle behaviors such as body weight, diet, and physical activity before and after diagnosis affect cancer outcomes [2–6] and are emerging as important targets for behavioral intervention trials.

In an effort to reliably and successfully study the association between specific lifestyle behaviors and cancer risk and recurrence, targeted intervention trials must adequately recruit and retain a representative group of participants. However, there are several barriers to recruitment especially among underrepresented ethnic and racial groups, such as Hispanic women [7–9]. Strategies are needed to mitigate these barriers so that an ethnically diverse population participates in cancer prevention and control clinical trials.

Hispanics now represent the largest ethnic minority group in the United States (16.7 % of the total US population) [10]. Over the past three decades the Hispanic population has grown substantially in urban areas [11]. In 2010, almost half (45%) of US Hispanics lived in 10 major metropolitan areas [12]. Spanish language remains a core characteristic of this population. According to the Pew Research Center’s 2013 National Survey of Latinos, 75% of Hispanics age 5 and older speak Spanish, 74% speak Spanish at home, and 38% are Spanish language dominant [13]. Despite the growing size and visibility of the US Hispanic population, Hispanics are less likely to participate in research compared to other racial/ethnic groups [14–16], including clinical trials [17]. There are limited data explaining characteristics associated with non-participation among Hispanics who are otherwise eligible for clinical trials. Historically, studies investigating clinical trial participation among minorities have focused on demographic factors, including historical, social, and economic predictors of consent and participation [18]. Recent studies have begun to examine factors associated with willingness to consent [19–21]. General mistrust in research, socioeconomic constraints, and cultural differences have been identified as key barriers that impact participation rates [7, 9, 22–24].

In order to improve the recruitment and retention of underrepresented populations in clinical trials, it is important to understand social, cultural, and clinical factors that impede and facilitate clinical trial participation. The goal of this analysis was to identify factors associated with non-enrollment (barriers) and greater enrollment (facilitators) in a behavioral intervention trial targeted to Spanish-speaking Hispanic breast cancer survivors. In this analysis, we compare characteristics of eligible Hispanic women who did and did not choose to enroll in the culturally-based dietary modification trial, ¡Cocinar para su salud! (Cook for your life!). The goal of this work is to identify factors related to participation in this trial so that future trials can account for these factors during the study design process and trial implementation.

METHODS

Study Description

We conducted a descriptive analysis using data collected from urban Spanish-speaking Hispanic breast cancer survivors who were screened for participation in the behavioral intervention trial, ¡Cocinar para su salud!. Participants were recruited from January to August 2012. A total of 102 participants completed the screening questionnaire and were eligible to participate in this study. Of these, 70 participants enrolled in the trial. The primary objective of this predefined analysis was to identify barriers and facilitators to recruitment by examining differences between eligible women who did and did not enroll.

The ¡Cocinar para su salud! trial has been previously described [25–27]. In brief, ¡Cocinar para su salud! examined the effects of a 12-week/9-session in-person dietary intervention versus standard of care written dietary recommendations on change in daily intake of fruit/vegetables and dietary fat at 6 months. Secondary objectives included examining the effects of the intervention at 6 and 12 months on biomarkers of fruit and vegetable intake, molecular biomarkers associated with breast cancer risk, anthropometric measures, fat-related dietary habits, mediators of dietary change, and changes in quality of life and anxiety/depression. All study staff were bilingual in Spanish and English. The dietary intervention used a hands-on educational approach to address determinants of nutritional behavior change including motivational, behavioral and environmental capabilities. The intervention was culturally-based and incorporated the use of native language and culture. Sessions provided culturally adapted recipes and nutrition information. All sessions were conducted in Spanish in order to provide a unified group-based format. The sessions ranged from 1.5 hours to 3.5 hours and were held on Saturday mornings at the teaching kitchen at Columbia University’s Teachers College, located close to bus stops and subway stations. For each session, participants were provided free round trip metrocards to use on New York City’s public transportation system.

Potentially eligible participants were recruited from within the Columbia University Medical Center Breast Oncology Clinic. Study recruiters and interviewers were bilingual and Hispanic, reflective of the patient population. Participants signed written informed consent and completed an in-person interviewer administered screening interview on demographics, medical history, acculturation, quality of life (QOL), and perceived benefits/risks of research participation. Typically, a single staff member conducted both the consent process and the screening interviews on the same day. Occasionally, due to patient time constraints, the screening interview was conducted by phone by a different staff member within 1–2 weeks. Medical record reviews provided data on breast cancer pathology and treatment history. Trial eligibility criteria included stage 0-III breast cancer, at least 3 months post completion of adjuvant treatment, self-defined Hispanic descent (typically South American, Central America, or Caribbean), fluency in Spanish, and willingness to be randomized to active or control arms. Participants were enrolled into the trial in cohorts to allow for class sizes of 4–12 participants, and thus there was a lag between completing the screening interview and starting trial participation. Trial participation began with a baseline clinic visit and interview prior to trial randomization. Eligible women were contacted to schedule their baseline clinic visit, which as the time that some women stated that they chose not to participate. Institutional review boards of participating institutions approved the study and written informed consent was obtained from all participants prior to completing the screening interview.

Measures

Acculturation index

Acculturation was assessed using the Short Acculturation Scale for Hispanics (SASH) [28, 29]. The acculturation index was defined by specific measures including language, social dynamics and diet. A 5-point likert scale was used for scoring. The index scale range was defined as low (1) to high (5). The score for each item was summed.

Quality of life

Quality of life was assessed with a single question “In general, what would you say your quality of life is?” Response options were on a 5-point likert scale including poor, fair, good, very good and excellent.

Comorbidity index

A comorbidity index was developed based upon methods reported by Charlson et al. [30] and Patterson et al. [31]. The index incorporated diseases and conditions related to morbidities that predict breast cancer survivor outcomes and categorized various symptomatic manifestations of disease and body systems via general groupings. Twelve general health conditions were assigned weights based on the extent of potential impact on clinical outcomes. Conditions included ulcers, diabetes, neurological problems, gastrointestinal problems, respiration problems, risk factors for heart disease (weight=1 point); kidney disease, heart problems, chest pain, physical limitations (weight=2 points); HIV/AIDS, and cancer other than breast cancer (weight=3 points). The comorbidity index score was computed for each participant by summing the weighted values for each comorbid condition (possible index range: 0–20 points).

Perceptions of Research

Based upon the investigators’ clinical and research experience with this patient population, questions were developed to ascertain participants’ perceptions of research, similar to other existing questionnaires in this area [32, 33]. Perceptions were assessed by asking how much participants agreed with the following statements: ‘If you participate in research, you will get better medical care than you would get otherwise’, ‘If you participate in research, you may experience side effects that the doctors cannot predict’, ‘If you participate in research, you can help others’, ‘If you participate in research, your personal information will be kept confidential’, ‘If you participate in research, it will cost you too much time’, ‘The doctors who do research care more about research than about the patients’, ‘If you participate in research, it will take too much time’, ‘If you participate in research, you should be paid for it’, and ‘If you participate in research, you have to fill out a lot of confusing forms’. Response options were ‘strongly agree, disagree strongly, agree somewhat, strongly agree’.

Statistical Analysis

Participant characteristics were compared between two groups: those who were eligible and enrolled into the trial and those who were eligible but chose not to enroll. Associations between participant characteristics and potential factors related to participation were examined using chi-square or Fisher’s exact test for categorical variables and t-tests or ANOVA for continuous variables. All p values are 2-tailed and p values <0.05 were considered statistically significant. Data analysis was performed using STATA version 12.1.

RESULTS

Demographic characteristics

Of the 111 Spanish-speaking Hispanic breast cancer survivors who provided consent, 102 women completed a screening interview and were eligible to participate in the trial. Of the 102 eligible women, 70 enrolled and 32 did not enroll. Study participant characteristics at the time of screening are presented in Table 1, by enrollment status. The overall sample mean age was 57.3 years (SD 9.5) and the predominant nationality reported was Dominican (77.5 %). Twenty-two percent of the sample completed high school, most were employed full time (20.6 %), and the majority of participants had a household income that was below the New York City median household income level (>15,000 per year (70.6%)) [10]. The study sample population reflects the target population of Hispanic breast cancer survivors and is representative of the population in the predominantly Spanish-speaking Dominican neighborhood surrounding the Columbia University Medical Center. The majority of participants in the overall sample were apartment dwellers (91.2%) living in Manhattan (61.8%). Over half of the sample (59.8%) reported being currently enrolled in nutrition assistance programs such as the Women, Infants, and Children (WIC) food and nutrition service or the Supplemental Nutrition Assistance Program (SNAP).

Table 1.

Demographic, lifestyle and clinical characteristics comparing eligible participants who did and did not enroll in the dietary intervention trial

	Enrolled (n=70)		Non-enrolled (n=32)		p-value
	n	%	n	%
Demographic Characteristics
Age Mean (SD)	56.4 (9.6)		59.3 (8.9)		0.14
Race/ethnicity					0.13
Black	18	25.7	9	28.1
White	28	40.0	11	34.4
Native American	2	2.9	4	12.5
Mixed Race	11	15.7	1	3.1
Nationality					0.82
Colombian	1	1.4	0	0.0
Cuban	1	1.4	0	0.0
Dominican	54	77.1	25	78.1
Ecuadorian	5	7.1	2	6.2
El Salvadorian	1	1.4	0	0.0
Honduran	1	1.4	0	0.0
Mexican	1	1.4	0	0.0
Puerto Rican	5	7.1	5	15.6
Costa Rican	1	1.4	0	0.0
Education					0.30
Less than high school	24	34.3	15	46.9
High school or GED	18	25.7	4	2.5
Some college	20	28.6	7	21.9
College or higher	7	10.0	4	12.5
Employment status					0.05
Full-time	18	25.7	3	9.4
Part-time	10	14.3	3	9.4
Retired	6	8.6	2	6.2
Homemaker	14	20.0	3	9.4
Unemployed	5	7.1	3	9.4
Disabled	17	24.3	17	53.1
Annual household income					0.19
No Response	6	8.5	1	3.1
< $15,000	44	62.9	28	87.5
$15,001 – $30,000	13	18.6	1	3.1
$30,000 – $60,000	6	8.6	2	6.2
$100,000+	1	1.4	0	0.0
Currently enrolled in nutrition assistance program/receiving WIC, EBT, food stamps	41	58.6	20	62.5	0.71
Clinical Characteristics
Currently has health insurance	64	91.4	31	96.9	0.57
Health insurance, type					0.71
Fee-for-Service Health Plan	4	5.7	0	0.0
HMO	2	2.9	0	0.0
POS Health Plan	1	1.4	0	0.0
PPO	4	5.7	2	6.2
Medicaid	36	51.4	19	59.4
Medicare	17	24.3	9	28.1
Quality of life					0.61
Excellent	7	10.0	3	9.4
Very Good	8	11.4	6	18.8
Good	30	42.9	9	28.1
Fair	24	34.3	13	40.6
Poor	1	1.4	1	3.1
Overall quality of life, Mean (SD)	6.9 (1.9)		6.9 (2.2)		0.98
Cancer stage					0.18
DCIS	20	28.6	2	6.2
I	27	38.6	15	46.9
II	14	20.0	9	28.1
III/LABC	8	11.4	6	18.8
HER2 positive	12	17.1	4	12.5	0.04
Radiation therapy	44	62.9	25	78.1	0.13
Chemotherapy	34	48.6	21	65.6	0.11
Comorbidity index, Mean (SD)	1.1 (1.4)		1.3 (1.7)		0.37

^aDo not add up to 100% due to missing data: education, annual household income, annual household income, health insurance, health insurance type, menopausal status, cancer stage.

^bAbbreviations: High School (HS), General Education Diploma (GED), Special Supplemental Nutrition Program for Women, Infants, and Children (WIC), Electronic Benefits Transfer (EBT), Health Maintenance Organization, (HM), Point of Service (POS), Preferred Provider Organization (PPO); Standard Deviation (SD); DCIS (ductal carcinoma in situ); LABC (locally advanced breast cancer)

The majority of eligible enrolled and non-enrolled women reported their race/ethnicity as white (40 % vs. 34.4 %), followed by Black (28.1% vs. 35.7%). Enrolled participants less frequently identified as being Native American compared to non-enrolled participants (2.9% vs. 12.5%). More enrolled participants reported being of mixed race compared to non-enrolled participants (15.7% vs. 3.1%). Women who were employed were more likely to enroll, compared to women who were unemployed (P=0.048).

Clinical Characteristics

Eligible enrolled and non-enrolled participants were similar in mean years since diagnosis (Table 1). There were no meaningful differences in quality of life between groups. Compared to enrolled participants, non-enrolled participants had later stage cancers, though the difference was not statistically significant. Similarly, compared to women who enrolled, women who did not enroll had a trend toward receiving more radiation (P=0.13) and chemotherapy (P=0.11), as would be reflective of higher stage disease. Having a HER2+ tumor was a significant predictor of enrollment (P=0.04). On average, participants reported 1.2 (+/−1.5) comorbidities (data not shown). There were no meaningful differences in comorbidities between groups (Table 1).

Acculturation

Table 2 presents acculturation measures by enrollment status. In general, enrolled women reported a higher degree of acculturation, compared to non-enrolled women. Compared to women who enrolled, women who did not enroll were more likely to report Spanish as the only language read or spoken (P=0.02) and usually having thoughts only in Spanish (P=0.03). The mean acculturation index was equivalent for both enrolled and non-enrolled women, indicating low levels of acculturation in both groups.

Table 2.

Acculturation, by enrollment status

	Enrolled (n=70)		Non-enrolled (n=32)		p-value
	n	%	n	%
What was the language(s) you used as a child?a					0.96
Only Spanish	61	87.1	29	90.6
More Spanish than English	3	4.3	1	3.1
Both Equally	2	2.9	1	3.1
More English than Spanish	2	2.9	1	3.1
Only English	1	1.4	0	0
In general, What language(s) do you read and speak?a					0.02
Only Spanish	49	70.0	26	81.2
More Spanish than English	11	15.7	4	12.5
Both Equally	10	14.3	0	0.0
More English than Spanish	0	0.0	2	6.2
Only English	0	0.0	0	0.0
What language(s) do you usually speak at home?a					0.62
Only Spanish	49	70.0	22	68.8
More Spanish than English	9	12.9	7	21.9
Both Equally	7	10.0	1	3.1
More English than Spanish	3	4.3	2	6.2
Only English	0	0.0	0	0.0
In what languages do you usually think? a					0.03
Only Spanish	56	80.0	27	84.4
More Spanish than English	7	10.0	1	3.1
Both Equally	7	10.0	1	3.1
More English than Spanish	0	0.0	3	9.4
Only English	0	0.0	0	0.0
In general, what language(s) are the movies, TV and radio programs you prefer to watch and listen to? a					0.81
Only Spanish	31	44.3	17	53.1
More Spanish than English	17	24.3	7	21.9
Both Equally	16	22.9	5	15.6
More English than Spanish	5	7.1	3	9.4
Only English	0	0.0	0	0.0
Can you read in Spanish?					0.50
Yes	69	98.6	32	100
No	0	0.0	0	0.0
Can you write in Spanish?					0.50
Yes	69	98.6	32	100.0
No	0	0.0	0	0.0
Can you read in English?					0.20
Yes	32	45.7	10	31.2
No	36	51.4	22	68.8
Can you write in English?					0.20
Yes	27	38.6	8	25.0
No	41	58.6	24	75.0
Your close friends are…? a					0.89
All Hispanic/Latino	43	61.4	21	65.6
More Hispanic/Latino than non-Hispanic/Latino	18	25.7	8	25.0
About half and half	8	11.4	3	9.4
You prefer going to social gatherings/parities at which people are…? a					0.40
All Hispanic/Latino	30	42.9	18	56.2
More Hispanic/Latino than non-Hispanic/Latino	13	18.6	3	9.4
About half and half	25	35.7	11	34.4
The persons you visit or who visits you are…? a					0.74
All Hispanic/Latino	43	61.4	23	71.9
More Hispanic/Latino than non-Hispanic/Latino	13	18.6	5	15.6
About half and half	11	15.7	4	12.5
More non-Hispanic/Latino than Hispanic/Latino	1	1.4	0	0.0
If you could choose your children’s friends you would want them to be…?a					0.61
All Hispanic/Latino	24	34.3	9	28.1
More Hispanic/Latino than non-Hispanic/Latino	6	8.6	4	12.5
About half and half	36	51.4	19	59.4
More non-Hispanic/Latino than Hispanic/Latino	1	1.4	0	0.0
How often do you eat food from your culture?					0.88
Everyday	36	51.4	17	53.1
4–5 times per week	10	14.3	7	21.9
2–3 times per week	13	18.6	4	12.5
Once per week	5	7.1	2	6.2
Less than once per week	5	7.1	2	6.2
How often do you cook food from your culture?					0.89
Everyday	34	48.6	14	43.8
4–5 times per week	13	18.6	5	15.6
2–3 times per week	12	17.1	7	21.9
Once per week	5	7.1	2	6.2
Less than once per week	5	7.1	4	12.5
Acculturation index					0.79
Mean, (SD)	1.6	(0.62)	1.5	(0.55)
Range	0.4 – 3.5		1.0 – 3.0

^aVariable used in the construction of the acculturation index (Range 1–5, where 1=low and 5=high)

Perceptions and attitudes towards research and participation

Eligible enrolled participants consistently reported more positive perceptions and attitudes towards research and participation when compared to non-enrolled participants (Table 3). Compared to enrolled participants, participants who did not enroll were more likely to believe that they would experience unanticipated side effects (57% vs. 75%, P=0.08) and that it would cost them too much money to participate, (24%vs. 45%, P=0.04). Although not statistically significant, when compared to eligible enrolled participants, nearly twice as many women in the non-enrolled group believed research participants should be monetarily compensated for participation (44% vs. 27%, P=0.08).

Table 3.

Attitudes towards research among enrolled and non-enrolled participants assessed at screening

	Enrolled (n=70) %	Non-Enrolled (n=32) %	p-value
If you participate in research, you will get better medical care than you would get otherwise			0.67
Strongly disagree	21.4	18.8
Disagree somewhat	18.6	9.4
Agree somewhat	24.3	28.1
Strongly agree	34.3	43.8
If you participate in research, you may experience side effects that the doctors cannot predict			0.08
Strongly disagree	11.4	15.6
Disagree somewhat	28.6	12.5
Agree somewhat	47.1	46.9
Strongly agree	8.6	25.0
If you participate in research, you can help others			0.88
Strongly disagree	1.4	0.0
Disagree somewhat	4.3	6.2
Agree somewhat	14.3	12.5
Strongly agree	80.0	81.2
If you participate in research, your personal information will be kept confidential			0.07
Strongly disagree	1.4	3.1
Disagree somewhat	0.0	6.2
Agree somewhat	22.9	34.4
Strongly agree	75.7	56.2
If you participate in research, it will cost you too much money			0.03
Strongly disagree	64.3
Disagree somewhat	24.3	25.0
Agree somewhat	10	31.2
Strongly agree	1.4	0.0
If you participate in research, it will take too much time if participate			0.28
Strongly disagree	25.7	12.5
Disagree somewhat	25.7	25.0
Agree somewhat	42.9	53.1
Strongly agree	2.9	9.4
Doctors who do research care more about the research than about the patients			0.93
Strongly disagree	31.4	31.2
Disagree somewhat	32.9	37.5
Agree somewhat	28.6	25.0
Strongly agree	5.7	3.1
If you participate in research, you should get paid for it			0.23
Strongly disagree	41.4	25.0
Disagree somewhat	32.9	34.4
Agree somewhat	18.6	28.1
Strongly agree	4.3	12.5
If you participate in research, you have to fill out a lot of confusing forms			0.51
Strongly disagree	11.4	6.2
Disagree somewhat	15.7	12.5
Agree somewhat	44.3	62.5
Strongly agree	27.1	18.8

Reasons for non-participation

Bilingual study staff attempted to contact all eligible women to schedule the baseline clinic visit, and 32 of the 102 women were unable to be scheduled. Of the 32 women, only 13 were able to be contacted by phone. Of the 13 women, reasons for non-participation varied, including lack of interest in dietary change (48%), being too sick (15%), moving out of country (15%), travel (15%), and work constraints (8%).

DISCUSSION

We examined factors related to participation in a culturally-based behavioral intervention trial among urban Spanish-speaking Hispanic breast cancer survivors. Our study results suggest that enrollment into the Cocinar Para Su Salud! dietary modification trial was affected by different factors, including socioeconomic and cultural factors, and perceptions and attitudes towards research. Despite the fact that study was designed to be inclusive of the targeted population (i.e., staff were representative of the patient population, all study activities were conducted in Spanish, and the intervention itself was culturally-based), key factors were identified as being associated with lower rates of participation, including unemployment, being monolingual (Spanish-speaking), and perceiving that research is costly to participants. There were a number of important factors related to socioeconomic status, clinical characteristics, acculturation and perceptions towards research that were not associated with trial enrollment and these can be considered as hypothesis generating for future studies. Given that Hispanic breast cancer survivors have a poorer prognosis when compared to non-Hispanic white women, even when adjusting for stage at diagnosis [34], it is important to include this population of women in clinical trials testing strategies to improve prognosis, including behavioral interventions.

It is well documented that compared to other populations, Hispanics are less likely to enroll and participate in clinical trials [17, 35–38]. However, studies focused specifically on Hispanic breast cancer survivors are needed to better understand the specific reasons for non-enrollment of eligible individuals in this population. To our knowledge, no other studies have focused on eligible non-enrolled Hispanic breast cancer survivors. In a recent review of randomized controlled trials among women with breast cancer, only half of the trials reported trial recruitment processes [39]. The majority of the currently published literature focuses on barriers of initial enrollment of non-consented individuals with unknown eligibility status. A recent review of 65 studies examining initial enrollment barriers into cancer trials have focused on African-American populations [18]. These studies identified low education, high monetary costs, perceived harm, mistrust, and cultural factors such as language as barriers to participation [7, 18, 23, 40–43]. Although there are parallels with barriers identified in these studies and our current study (i.e., financial burden), exploring non-enrollment among eligible individuals may yield a more comprehensive understanding of reasons for non-participation. Such information is vital to the recruitment of representative samples and it informs our ability to maintain adherence to participation at baseline and throughout the study duration.

Difficulties in the recruitment of diverse populations into trials are rooted in many sociodemographic factors including race/ethnicity, language, income, socioeconomic status, and education [44–46]. A systematic review of cancer related trials examining barriers to recruitment of underrepresented populations including African Americans, Hispanics, Asian Americans, Pacific Islanders and American Indians/Alaska Natives, reports that low socioeconomic status is a consistent barrier [18]. A recent cross sectional study examining participation in clinical trials among more than 5,000 women reported lower odds of participation among individuals with lower income levels and a potential negative association between participation and age, gender, education, and comorbidities, although this sample was predominantly non-Hispanic white [43]. These studies were consistent with our findings that suggested a decreased likelihood of participation due to financial burdens related to true and perceived costs. Results from a recent qualitative assessment of investigator experiences and perspectives on barriers to minority recruitment also support these findings [9]. Multilevel barriers including low socioeconomic status and education, distrust, and competing personal obligations were documented in several studies conducted within National Cancer Institute (NCI) designated cancer centers across the U.S. [9]. Similar results have been reported in studies investigating the influence of race, income, and language on participation among eligible non-enrolled individuals. Low rates of enrollment have been observed in analyses of over 50 therapeutic clinical trials, stratified by race and four cancer types including lung, colorectal, prostate and breast [17]. Higher rates of non-participation among eligible enrolled individuals have been reported among Hispanics when compared to other ethnic groups [47]. Low levels of participation among racial/ethnic minorities including Hispanics appear to transcend differences in socioeconomic status, include being given the adequate opportunity to participate in studies and being provide with an adequate opportunity to decide whether to accept or refuse participation [9, 18]. Shared “word of mouth” communications among friends and/or family members about study enrollment opportunities have been shown to improve participation, suggesting that this strategy may help overcome some of the previously addressed barriers to participation [47–49]. Additional strategies such as having adequate staffing, strong study staff rapport with participants, and short interviews with minimal time commitment have been identified as influencing recruitment and retention among low-income minority participants [50]. Coaching intervention studies have reported conflicting results regarding its effectiveness on improving patient willingness to participate in clinical trials [48, 51, 52].

There is a body of literature suggesting that mistrust of scientific investigators and risks and benefits related to participation play a significant role in non-enrollment rates [53–55]. Though our sample size was relatively small, we did not observe similar findings, which may be due to chance, or may be a true finding among this specific patient population. Several studies have evaluated the effect of randomization on the decision to participate in trials [53, 56–59]. Two studies among African Americans found negative perceptions and attitudes towards the randomization process based upon beliefs that unwanted or ineffective interventions would be provided [53, 56]. In contrast, the majority of women in our study agreed with the notion that participation in research would yield better medical care than they would otherwise receive and there was not differential mistrust between enrolled and non-enrolled women.

Similarly, health insurance status was not associated with trial participation. Our population had high rates (>75%) of government-based health insurance. In general, private and government insurance coverage is less likely among Caribbean born immigrants when compared to foreign born immigrants [60], but our population of patients recruited from a clinical setting was highly insured. It is possible that enrollment in private and government insurance coverage is not equally distributed among the various ethnic groups and perhaps explains some of the varying barriers and facilitators across groups.

Interestingly, we observed a trend of higher rates of participation among women with better clinical prognosis based upon tumor stage and histology. Previous studies have suggested that patients with more advanced disease have more positive attitudes towards clinical trials [61]. However, the majority of that research is in therapeutic trials and not behavioral interventions.

Strengths of our study included the ability to collect and assess factors related to non-participation in a randomized behavioral intervention study conducted among a diverse population of urban Spanish-speaking Hispanic breast cancer survivors. Additionally, the use of previously validated acculturation and comorbidity measures strengthens the reliability of our reported results. A limitation of our study was that screening questionnaire data was self-reported and all screened participants were eligible thereby introducing the potential for selection bias. Additionally, there was a low response rate for reasons of non-participation. These results should be interpreted cautiously as there is a potential bias due to loss to follow up. We did not have data regarding whether word of mouth influenced enrollment or could have influenced enrollment in future studies.

In summary, our study describes the role of specific socioeconomic factors, acculturation, and perceptions of research on participation in a behavioral intervention trial among Spanish-speaking Hispanic breast cancer survivors. This patient population is increasing in the US and it is important that they are adequately represented in clinical trials. Our findings demonstrate that even in a culturally-based behavioral intervention trial, there are persistent underlying factors associated with disparate participation rates among Hispanic breast cancer survivors. The widespread presence of coinciding barriers to participation across different regions of the United States highlight the need for multilevel facilitators to increase trial participation [9]. Future trials and interventions should consider these findings at the beginning in the study design phase, as well as throughout the recruitment and retention periods. Increased participation of a diverse population of participants may be possible by developing a study design that addresses and is sensitive to socioeconomic, educational, cultural, and attitude constraints by way of tailored, population-specific, recruitment and retention strategy.