Skip to main content

Key recruitment and retention strategies for a pilot web-based intervention to decrease obesity risk among minority youth



Interactive Nutrition Comics for Urban Minority Youth (Intervention INC) is an innovative, web-based interactive comic tool for dietary self-management, which aims to decrease obesity risk among urban minority preadolescents. The feasibility and acceptability of Intervention INC was assessed by implementing a two-group randomized pilot study. To date, intervention studies have typically faced various barriers in recruiting and retaining study participants. The purpose of this paper is to describe recruitment and retention activities from this study and in particular, discuss challenges faced, strategies implemented, and lessons learned.


Black/AA and Latino children (ages 9–12 years) and their parent/guardian were recruited from East Harlem/Harlem, New York. Recruitment strategies included flyering in the community, having a convenient study location, providing participation incentives, and partnering with community/school-based organizations. Potential participants were screened for eligibility; enrollees completed online surveys and interviews at baseline (T1), intervention midpoint (T2), intervention end (T3), and 3-months post-intervention (T4). Retention strategies included flexible scheduling, reminder calls/texts, incremental compensation, and consistent study staff.


Eighty-nine enrolled dyads completed a T1 visit (August to November 2017) and were randomized to the experimental (E, n = 45) or comparison (C, n = 44) group. Enrolled dyads learned about the study through community events (39%), community flyering (34%), friend/referral (15%), or a community clinic partner (12%). T1 child demographics were mean age = 10.4 ± 1.0 years, 61% female, 62% Black and 42% Latino, and 51% overweight/obese; parent demographics were mean age = 30.8 ± 8.9 years, 94% female, and 55% Black and 45% Latino. Survey completion rates by dyad were high throughout the study: T2, 87%; T3, 89%; and T4, 84%. Average data collection per session was 65 min. Parents at T4 (n = 76) felt they received enough study information (97%) and that their questions were answered properly (80%). Eighty-one percent of children at T4 (n = 75) were very satisfied/extremely satisfied with how study staff communicated and interacted with them.


Effective recruitment strategies consisted of community events and flyering, while a variety of retention strategies were also used to successfully engage urban Black/AA and Latino families in this study. Though our findings are limited to only Latino and Black families in low-income neighborhoods, we have identified successful strategies for this specific high-risk population and potentially similar others.

Trial registration, NCT03165474, registered 15 May 2017

Peer Review reports


Childhood obesity is an ongoing public health crisis in the United States (US) that disproportionately affects low-income, minority individuals. A 2013 study showed that black and Hispanic children, compared with non-Hispanic white children, have substantially higher body mass index (BMI) z-scores, total fat mass index, and prevalence of overweight and obesity [1]. Interventions delivered via web-based or mobile platforms (mHealth) that incorporate tailored and/or engaging health promotion content and utilize theory-driven strategies may help at-risk children and their parents improve their dietary-related practices to lower risk for childhood obesity and improve health outcomes. Importantly, however, rigorous evaluation of these interventions is needed to demonstrate their feasibility for delivery and adoption in real-world settings.

To date, intervention studies have typically faced numerous barriers in recruiting and retaining study participants, especially within at-risk populations. A well-documented challenge of minority recruitment is distrust of research, and especially clinical research [2,3,4]. Distrust stems from a history of discrimination as well as notorious research abuses, such as the US Public Health Service Tuskegee Syphilis Experiment [5]. Other participant barriers include lack of transportation, scheduling conflicts, recruitment materials at inappropriate literacy levels, and lengthy consent forms [6]. Further barriers on the part of researchers include a lack of understanding about cultural differences among ethnic minorities and subsequent poor communication with these groups at all research stages [6].

Recruiting and retaining minority children specifically for obesity-related interventions pose several additional challenges. A 2012 study by Wright et al. focused on the impact of a school health program on physical activity and BMI in minority children. The authors acknowledged that a major limitation of the study was retention, especially at 12-month follow-up [7]. Wright et al. suggested that a potential retention barrier was a lack of incentives, which could have inhibited parents who had to rush home after work to attend the program. In addition, child participation in studies requires significant family involvement, as parents, guardians, or caregivers must consent, provide support, and coordinate children’s participation, actions, and responses. Any barriers to parents/guardians and families, therefore, can reduce successful child retention [8]. Another possible challenge to retaining minority children is maintaining their engagement throughout entire interventions [8]. It is therefore important for study staff to use creative tactics and planning strategies to ensure that children do not lose interest in the studies.

To date, few studies have attempted to analyze information about recruitment and retention in childhood obesity-related health interventions upon their completion [9, 10]. A 2015 systematic review by Cui et al., which analyzed recruitment and retention strategies of studies involving low-income, minority children, noted that one third of eligible studies had not a published peer-reviewed paper [8]. This highlights missed opportunities to report on the success or failure of recruitment and retention strategies used for minority children. In addition, well-documented rates of high attrition have led to limited interpretability and generalizability of study findings [11,12,13]. It is therefore important to identify key strategies that can lead to successful recruitment and high retention rates of minority children in intervention studies but also report on the implementation and impact on retention.

Therefore, the purpose of this paper is to describe recruitment and retention activities from the Interactive Nutrition Comics for Urban Minority Youth (Intervention INC) study (a 4.5-month pilot RCT), strategies implemented in response to challenges during study implementation, as well as discuss lessons learned and implications for similar intervention studies, particularly with minority youth.


Pilot study design

Intervention INC was a two-group randomized pilot study that assessed the usability, feasibility, and acceptability of an innovative, web-based interactive comic tool aimed at decreasing obesity risk among urban minority preadolescents. The study protocol and intervention are described briefly below, and in greater depth elsewhere [14].

Participants were recruited from low-income NYC neighborhoods from August to November 2017. Child-parent dyads were eligible if the child was 9–12 years old at baseline, identified as either Black/AA or Latino, had a BMI percentile of 5% or higher, and was able to speak and read in English, and the parent was able to read and speak in either English or Spanish and was primarily responsible for providing or purchasing food for the child. Dyads also had to have regular internet access via a tablet device, smartphone, or computer/laptop with internet access. Both children and parents were compensated for time to complete questionnaires/interviews and travel to in-person study visits with gift cards (in increasing amounts for each data collection time point) and round-trip Metrocards. Parent consent and child assent were obtained prior to initiation of any study procedures.

For the intervention, children in the experimental group had access to a 6-chapter interactive nutrition comic (one chapter released a week), a goal-setting and self-assessment feature, and weekly text/email messages and reminders from comic characters, while children in the comparison group had access to six online newsletters with nutrition-related content, a goal-setting and self-assessment feature, and weekly text/email messages and reminders. Parents in both the experimental and comparison groups received six online newsletters with healthy feeding-related content and weekly text/email messages in reminders, but experimental group parents also had access to the child nutrition comic.

Dyads participated in the study for 4.5 months, which included a 6-week intervention and 3-month follow-up. Data collection occurred at four time points: baseline (T1), intervention midpoint or 3-weeks post-baseline (T2), intervention end or 6-weeks post-baseline (T3), and 3-month follow-up post-intervention (T4). T1 and T4 time points were in-person study visits, while T2 and T3 were conducted via phone and online. At T1, the child’s height, weight, and body composition were measured. Both the child and parent then completed individual baseline questionnaires on laptop devices, which collected demographics and dietary-related outcome data. For the child, these data related to dietary knowledge, attitudes, and intake. For the parent, these data related to feeding practices and the home food environment [14]. Similar questionnaires were administered at T2 (child-only), T3 (child and parent), and T4 (child and parent). In addition to questionnaires, children and parents also completed semi-structured interviews to collect data about their experiences using the website at T2 (child-only), T3, and T4. At T4, children had their height, weight, and body composition taken again. Both the children and parents also completed additional questionnaire items related to the overall study participation experience.

Recruitment protocol

Initial recruitment protocol

Through a partnership with a child-focused community-based organization (CBO) focused on serving at-risk youth in the East Harlem/Harlem neighborhoods of NYC, study recruitment letters were sent to parents/guardians of children who had utilized services from their community health clinic within the previous 2 years. Using basic child inclusion/exclusion criteria (age 9–12 years and BMI percentile above 85%), a list of potential participants was generated, from the CBO’s existing patient population, with the child’s contact information. Bilingual recruitment letters signed by the CBO Medical Director, a CBO Pediatrician, and the study Principal Investigator were sent to the parents/guardians of these children. The letters contained a brief description of the study, incentives, and contact information of study staff. Interested individuals had the option of calling, texting, or emailing study staff for additional information. These parents were also called by study staff approximately 1 week after letters were sent to assess interest in study participation. Study staff screened interested individuals and scheduled T1 visits. As participants were enrolled and scheduled for T1 visits, study staff sent reminder texts, calls, and emails (as preferred by participants) three days and one day prior to appointments.

Changes to recruitment protocol

Initial challenges with recruitment and enrollment led to the broadening of our recruitment approaches. Specifically, the BMI percentile criteria were changed from 85 to 5% [14]. This BMI range includes healthy, overweight, and obese children. Following this change in inclusion criteria, updated potential participant lists from our CBO partner (i.e., with widened BMI percentile criteria to above 5%) were created and additional recruitment letters were sent to families not included in the first round. Furthermore, our recruitment protocol was expanded to include flyering 3–5 days a week in East Harlem/Harlem neighborhoods. Study staff compiled a list of key recruitment outreach locations and conducted targeted flyering in these areas, which included churches, medical offices, housing complexes, schools, community organizations, and recreational spaces. To keep track of the areas covered, an interactive Google map was created and updated weekly by study staff. In addition to neighborhood flyering, we partnered with community organizations and local elementary/middle school schools that permitted study staff to table at their weekend/after-school events. At these events, study staff engaged youth in a fun, nutrition card game while providing parents with information about the study. Potential participants were screened in-person at the events to expedite enrollment.

Data collection

Once parents expressed interest in joining the study, study staff screened subjects for eligibility by assessing inclusion and exclusion criteria such as the following: Does your child read and speak English? Do you have access to an iPad, tablet, desktop, laptop, or phone with texting capabilities with internet access? Potential dyads received numerical IDs. Study staff monitored appointments via a Google Calendar accessible to all study staff using these IDs. At least 1 member of the study staff was responsible for monitoring each potential dyad and followed up with any potential dyad contact within 24 hours. If the parent was Spanish-speaking, a bilingual study staff member would be assigned to that dyad.

Study staff kept track of weekly recruitment/enrollment status, all communications with dyads, and number of dyads enrolled per week. Specifically for every dyad, the following information was collected during recruitment: who made first contact (participant or study staff), mode of contact, date of first contact, study staff that communicated with participant, number of contact points until scheduled, how they learned about the study, race, ethnicity, and age of child. In addition, study staff held weekly meetings to discuss these outcomes and develop improvement strategies as challenges surfaced. We anticipated to recruit 82 study dyads over the course of 3 months.

During T1, dyads completed demographic surveys in person at the Hunter College campus located in East Harlem. Surveys were administered as a questionnaire through a laptop computer in a private room with parent, child, and 2 research study staff. Participants were told that they should complete the surveys individually and study staff were available to assist. Challenges were systematically documented and discussed during weekly research team meetings, and strategies were implemented to address any challenges.

Retention protocol

Study staff offered flexible scheduling 7 days a week, which included after-school and work hours. At the end of each T1 visit, study staff documented expected follow-up dates for the midpoint, endpoint, and 3-month follow-up visits for the participants. As each time point approached, the date and time of the following visit or follow-up were confirmed and/or adjusted, and updated on the Google calendar. Once appointments were confirmed, study staff conducted 3-day and same-day reminder calls or texts; and a 1-day confirmation text or call. Visit outcomes were labeled as completed, rescheduled, or no-show. If dyads were 10 min late to their appointment, they were contacted by study staff. After 30 min, dyads were considered “no-shows” and study staff immediately reached out to request a reschedule.

To maintain dyad comfort and consistency with the research project, one study staff was assigned to each dyad so that the dyad interacted with the same study staff member through the study period and at each time point. Dyads were also sent newsletters and recipes between T3 and T4 to encourage continued engagement in the study. Thank you cards were sent at T3 with compensation for completing T3, a reminder of the upcoming appointment in 3 months, and appreciation of continued participation.


Participants were compensated with round-trip MetroCards for in-person data collection and gift cards of their choice for each time point. Gift card options included the following: large department store, supermarket chain specializing in selling organic products, discount supermarket chain, and sporting goods store. Selection of these gift cards was informed by formative research asking parents and input from a community-based organization (not published). Gift card monetary value increased at each time point: at T1, children received $10 gift cards and parents received $15 gift cards; at T2, children received $15 gift cards; at T3, both children and parents received $15 gift cards; at T4, children received $25 gift cards and parents received $30 gift cards. Participants were also informed that upon completion of all time points, they would be entered into a raffle to win a $100 gift card. To enhance the study experience, participants were provided healthy snacks and beverages (tea, coffee, water) at any in-person study visits.

Data collection

Study staff logged completion dates of each time point, durations of various measures (e.g., time taken to complete surveys), notes on dyad communication, dyad status, and retention percentages on a shared spreadsheet. In addition, barriers to website access (e.g., technological, password, and scheduling) and any comments about the study that participants communicated to study staff (not as part of data collection) were noted in the shared spreadsheet. Dyads were considered lost-to-follow-up if they did not respond to all attempted methods of communication from study staff including text, email, phone call, and mail within 2 weeks after their scheduled T2 or T3 visit or within 4 weeks after their scheduled T4 visit. A dyad was considered to have completed a time point if: both parent and child completed surveys at T1, T3, and T4. This information was organized into a shared spreadsheet that was regularly updated and reviewed at study staff meetings. Strategies for retention were reviewed and amended as needed.

At T4, children and parents individually completed study experience surveys. All questions were asked on a Likert scale from 1 (not satisfied) to 4 (extremely satisfied). Questions for guardians included the following: How satisfied were you with your experience in this study? Did we give you enough information about the study? How easy was it to get in touch with us if you had a question? Questions for children included the following: How satisfied were you with your experience in this study? How satisfied were you with how we communicated and interacted with you?

Data analysis

Data was analyzed using IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp. Descriptive statistics were run for all demographic variables for enrolled participants. Chi-square tests were used to compare demographics of experimental and comparison arm participants, with a significance level of p = 0.05. Retention data were analyzed using binary logistic regression to assess characteristics of participants who completed each data collection point compared to those who did not.

Study protocols and detailed study notes documented by study staff were systematically reviewed to identify significant changes, adjustments, or barriers to implementing the original protocol. Implementation of key recruitment and retention strategies that were documented throughout study implementation were also systematically reviewed with team members and reflected upon.



Recruitment occurred between August 2017 and November 2017. Key recruitment strategies implemented included flyering, partnering with a community clinic, and attending community events. Table 1 shows recruitment activities by month.

Table 1 Intervention INC recruitment activities by month

Enrollment by activity

Figure 1 shows the total number of hours spent on recruitment per week (triangular points), the number of hours spent on each recruitment activity per week (circular points), the number of dyads enrolled per week (diamond points) as a cumulative number (triangular points). Study staff spent 514 total hours recruiting 89 dyads. Overall, weekly staff hours increased from the week of August 14th (35.33 h) to the week of November 6th (56.25 h). Number of dyads enrolled weekly also increased from August 14th (0 dyads) to November 6th (16 dyads). In addition, the rate of dyads enrolled increased after September 11th and again after October 23rd. Weekly communication hours (texting, calling, emailing, and mailed letters) declined from the week of August 28th (17.5 h) to the week of September 11th (5.17 h) but had an overall increase from the week of September 11th (5.17 h) to the week of November 6th (43.25 h). From the week of October 23rd to the week of October 30th, there was a large increase in event tabling hours as well as number of dyads enrolled. Weekly flyering hours fluctuated considerably for the duration of recruitment.

Fig. 1

Intervention INC recruitment activity hours and dyads enrolled

Participant enrollment details

The CONSORT diagram in Fig. 2 shows the progress of study recruitment. One hundred and seventy-five people (adults) were initially screened for eligibility, and of these, 47 declined to participate and 39 did not meet the inclusion criteria due to (categories not mutually exclusive) age (20); race/ethnicity (7); medical condition, e.g., heart condition; reading or learning disability (21); attendance issues (12); and access to technology (5). Of the 89 participants that were enrolled in the study, 30 learned about the study through flyering, 11 through the partner community clinic (includes cold calling and letters), 35 through community events that were staffed by trained study staff, and 13 through a friend/referral. One hundred and thirty-three parent-child dyads were scheduled for a baseline appointment, 89 dyads completed a baseline visit, and were randomized. The last participant was enrolled on November 11, 2017, for a total recruitment period of 4 months.

Fig. 2

CONSORT diagram: intervention INC pilot study. a Did not meet study criteria due to heart condition, BMI, parent did not speak Spanish or English, did not have internet access, race/ethnicity reading problem, attendance and/or, age. b No response to communication attempts including calls, emails, texts or mailings. c Parent was unable to continue study due to medical reasons. d Child did not want to continue participating in the study

Baseline characteristics of enrolled participants

A total of 89 parent-child dyads were recruited into the study. Table 2 shows the characteristics of the adult and child participants enrolled into the study. The demographic breakdown of the adults enrolled are mean age 30.8 ± 8.9 years; 94.4% female; 3.4% White/Caucasian, 50.6% Black/African American, and 39.3% Hispanic/Latino; 73% U.S. born; 20.5% less than high school; and 60.2% of adult participants participated in SNAP. The demographic breakdown of the children enrolled are mean age 10.4 ± 1.0 years, 59.3% female, 46.2% Black/African American and 29.7% Hispanic/Latino, and 97.8% U.S. born.

Table 2 Demographic characteristics of Intervention INC participants

Recruitment strategies and challenges

Table 3 summarizes the recruitment strategies implemented, what challenges were encountered, and what solutions were devised. Recruitment strategies included partnering with community clinics, contacting eligible potential participants with trained study staff, recruiting over the summer, flyering in targeted areas of Harlem, providing a convenient study location, monetary incentives, maintaining a unified communication system (using a single phone number and simplified email address for the study), and having ongoing quality improvement processes. Challenges with our recruitment strategies included inaccurate self-reported height and weight measurements, BMI in electronic record not current, difficulty reaching potential participants (due to outdated contact information from community clinic lists), frequent no-shows and cancelations of baseline visits, and flyers were frequently torn down. Through ongoing quality improvement processes, we implemented several solutions which included the following: conducted additional community outreach (tabling at community events and clinics), partnered with community programs and institutions, expanded the eligibility criteria, utilized snowball recruitment, extended recruitment period into the fall (took advantage of back-to-school events), enhanced communication (texting more frequently, appointment reminders), and increased time spent on flyering.

Table 3 Intervention INC recruitment strategies and results


Study implementation

Eighty-nine dyads completed all data collection activities at T1. Table 4 shows the duration of selected data collection activities. The average length of time that it took a dyad to complete an in-person session was 65 min, 73.5 min for a child to complete a phone interview, and 74 min for a parent to complete a phone interview.

Table 4 Duration in minutes of Intervention Inc data collection activities

Participant retention

Eighty-nine (100%) dyads completed surveys at T1, 77 (86.5%) dyads at T2, 79 (88.8%) dyads at T3, and 75 (84.3%) dyads at T4. No statistically significant differences in completion among gender, race/ethnicity, group allocation, age, BMI category (child-only), household income.

Retention strategies and challenges

Table 5 summarizes the retention strategies used during the study, what challenges were encountered and what solutions were made. Retention strategies included assigning one study member staff to a dyad for the length of the study, incremental monetary incentives, providing a family-friendly experience (such as accommodating other family members during in-person study sessions and providing toys for younger siblings), flexible scheduling (evening and weekends), maintaining a unified communication system (using a single phone number and simplified email address for the study), and having ongoing quality improvement processes. Challenges with our retention strategies involved issues with mailing gift cards to participants, unplanned participants’ guests attending study visits, and participant issues with technology use. Through ongoing quality improvement processes, we implemented several solutions: providing availability for participants to pick up gift cards at the study site, accommodating study participants’ guests, and offering technical assistance over the phone or in-person with trained study staff.

Table 5 Intervention INC retention strategies and results

Gift cards

Across all time points, most children selected the large department store (79.8%), followed by the sporting goods store (15.3%), the supermarket chain specializing in selling organic products (4.7%), and the discount supermarket chain (0.3%). Parents selected gift cards for T1, T3, and T4 and across these time points most parents selected the large department store (73.1%), followed by the supermarket chain specializing in selling organic products (13.5%), the discount supermarket chain (7.8%), and the sporting goods store (5.7%).

Study experience

Seventy-six adults and 75 child participants completed the online study experience survey at T4. Of the 76 adults that completed the survey, 97.4% felt that they received enough information about the study, 98.4% felt that study staff answered their questions properly, and 97.4% felt that study staff were flexible in scheduling your interview calls and visits. Of the 75 child participants that completed the survey, 68% were very satisfied/satisfied with their experience in the study. Additionally, 81.4% were extremely satisfied/satisfied with how study staff communicated and interacted with them. There are no statistically significant differences in the study experience responses between the experimental arm and the comparison arm for both adult and child participants.


Recruitment and retention of study participants, especially from low-income, minority populations, has historically been a significant challenge [15, 16]. Few studies, furthermore, provide reliable data on recruitment and retention of low-income, minority children [6]. Intervention INC successfully recruited 89 parent-child dyads over the course of 4 months and retained 84.3% of dyads during its 4.5-month study using a variety of strategies.


In this study, the use of multiple recruitment strategies and continuous assessment of and adjustment to recruitment needs increased the rate of enrollment over time. In the early phase of recruitment (August 2017), recruitment strategies were largely limited to mailing letters and calling individuals identified by the CBO health clinic, and random flyering in the East Harlem community. Dyad enrollment was relatively low during this month and thus required a re-assessment and adjustment of approaches used. Coinciding with back-to-school and Fall community and school events, additional recruitment activities were implemented, such as attending and tabling at large-attendee school/community events. Additionally, targeted flyering was done near local businesses and through partnerships with community organizations, and event tabling was utilized. Consequently, the rate of dyad enrollment was faster from September to October 2017.

Interestingly, despite having access to potential participant list of children that had used the services of a CBO health clinic within the last 2 years and sending recruitment letters signed by the CBO Medical Director, a CBO Pediatrician, and the study Principal Investigator, few participants were enrolled using this approach. Only 12.4% of enrolled participants learned about the study through community clinic partnerships, which included the CBO potential participant lists. By comparison, the most successful recruitment strategies included community flyering and attending community events as 33.7% and 39.3%, respectively, of our study participants were enrolled by these strategies.

Aligned with the recruitment experiences in this study, Hartlieb et al. found in their study of recruiting minority adolescents with obesity that the use of multiple recruitment strategies—including identifying eligible participants through clinical partnerships, flyering within the community, and participating in health fairs—is beneficial and can yield high retention [11]. The decision to enhance community-based recruitment may have accelerated enrollment since individual choices are often dependent upon strong community ties [6]. Community-based recruitment of minority participants also likely creates trust and more positive relationships with study staff [17]. Indeed in other literature, recruitment of low-income, minority populations have most often included methods such as advertisements, targeted mailing and calls using organization lists, neighborhood canvassing, and community and health fair presentations [18].

It should be noted that our ability to continuously assess and modify strategies may have been, in large part, key to our recruitment success. At weekly team meetings, we were able to evaluate the data and therefore quickly implement new strategies as needed. For example, upon realizing that the BMI percentile criteria was too limited, we subsequently modified it to be more inclusive. Additionally, our staff members were flexible and allowed participants to schedule baseline appointments on weekends and during late hours. Staff members were also able to accommodate a longer recruitment period that had been extended for an additional 2 months.

Similar to our experiences with accommodation and adaptability in recruitment, Warner et al. found in their study that consistent evaluation of recruitment data to create new strategies followed by quick implementation was largely attributed to their success in participant enrollment [19]. Furthermore, their study staff’s willingness to meet participant needs and general flexibility were factors also associated with successful recruitment [19]. Offering more flexible hours helps to meet the needs of individual participants; this is especially important for low-income, minority parents who are not able to compromise their work schedule in order to be part of the intervention [20].


Retention remained high throughout the study with completion of T4 at 84.3%. No statistically significant difference was found with retention among the different demographic groupings (race/ethnicity, income, BMI category, gender, and age). These findings are in line with a similar 9-month study among racial/ethnic minority family dyads that reported 88% retention [17]. Parent and child participants reported high satisfaction rates at the end of our study. This may indicate that our retention strategies were successful in retaining Black and Latino families in East Harlem regardless of subgroups. It took participants an average of 69 min/time point to complete data collection study activities over a period of 4.5 months. The amount of time that participants commit to the research study has been one of the components used by other studies to measure participant burden [21, 22], We did not measure burden in this study, thus cannot discern if the amount of time that participants spent on completing study activities impacted retention. However, perceived participant burden is an important aspect of recruitment and retention but there have been few studies that have tried to understand participant burden or benefit. Ulrich et al. found that the higher the perceived burden of the study, the more likely participants are to think about dropping out [23]. Lingler et al. found that participation burden was inversely associated with enrolling in the study and that research burden increased as the study risk categorization increased [21]. Bodart et al. found that the length of time and time of day were important factors in perceived burden to complete study questionnaires [22]. Participants in our study reported high satisfaction rates which may indicate that they perceived the study to be low burden. However, participation burden is complex and can be associated with other factors including sociodemographic, level of trust in researchers, and perceived benefit to self or to society.

The selection of gift cards provided to families may have also led to higher retention rates. Formative research was conducted to identify appropriate stores. The large department store retailer was the most popular gift card choice among both parents and children as it had a vast array of items available. It is important to consider the versatility of the incentives provided to participants especially in low resourced areas. Additionally, successful retention strategies included flexible hours, bilingual study staff, incremental monetary incentives, metrocards, and ongoing communication with study participants. Other retention and recruitment research of racial and ethnic minority populations has indicated that these are crucial elements to a successful retention strategy [17, 24,25,26]. Parents indicated that they felt well informed about the study and felt that study staff answered their questions. We experienced some challenges throughout the study with retention including no-shows and technological challenges experienced by participants such as forgetting passwords/usernames and navigating the intervention tool. Our weekly staff meetings allowed us to identify these challenges early on and implement solutions to maintain high retention rates.

Strengths/limitations of the study

This study has several limitations that should be taken into consideration. First, our findings are specific to Latino and Black families in East Harlem, NY and may not be generalizable to other ethnic/racial minorities or other geographic locations. Second, families interested in nutrition may more actively seek enrollment into a nutrition study and may be more motivated to complete the study than families that are not interested in nutrition. Third, due to the design of the study, we are unable to determine which retention strategies were most successful. Strengths of this study included detailed documentation of all study protocols, a centralized electronic communication system, and weekly meetings. These factors allowed us to have a clear understanding of protocols that were in place and allowed us to implement solutions based on participant and study staff feedback we reviewed during weekly meetings. The study was also structured to be flexible to make changes to the study protocols in response to challenges encountered throughout the study. Study staff was trained to expect changes and to bring up concerns to team meetings. Study staff also had community outreach and nutrition experience which allowed us to utilize community engagement strategies. In addition, though our findings are limited to only Latino and Black families in East Harlem, we have identified successful strategies for this specific high-risk population and potentially similar others.


Intervention INC successfully recruited and retained low-income, minority children and their parents in East Harlem. Within our study, the most successful recruitment strategies included community flyering and attending community events. Our high retention rate shows that participation of minority families is possible in longitudinal studies despite a plethora of barriers to low-income, minority individuals, and potential participant burden. To effectively recruit and retain Latino and Black families into health promotion studies, our results suggest that a variety of strategies—particularly those that build trust and relationships—is necessary. Furthermore, implementing these various types of strategies requires careful planning, detailed tracking, frequent check-ins, and adaptability to modify as needed. More research is needed to determine specifically which recruitment and retention strategies are the most successful among Latino and Black families. This information could create more targeted strategy implementation and subsequent high levels of retention of minority populations in future interventions.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.



African American


Body mass index (height (m)/weight (kg)2)




Community-based organization


Consolidated Standards for Reporting Trials




General education development

Intervention INC:

Interactive Nutrition Comics for Urban Minority Youth


Mobile Health

N :



New York


New York City


Supplemental Nutrition Assistance Program


Statistical Package for the Social Sciences




Intervention midpoint or 3 weeks post-baseline


Intervention end or 6 weeks post-baseline


3 month follow-up post-intervention


Unites States


  1. 1.

    Taveras EM, Gillman MW, Kleinman KP, Rich-Edwards JW, Rifas-Shiman SL. Reducing racial/ethnic disparities in childhood obesity: the role of early life risk factors. JAMA Pediatr. 2013;167(8):731–8.

    Article  PubMed  Google Scholar 

  2. 2.

    Joseph G, Dohan D. Recruiting minorities where they receive care: institutional barriers to cancer clinical trials recruitment in a safety-net hospital. Contemp Clin Trials. 2009;30(6):552–9.

    Article  PubMed  Google Scholar 

  3. 3.

    Ford ME, Havstad SL, Davis SD. A randomized trial of recruitment methods for older African American men in the Prostate, Lung, Colorectal and Ovarian (PLCO) cancer screening trial. Clin Trials. 2004;1(4):343–51.

    Article  PubMed  Google Scholar 

  4. 4.

    Braunstein JB, Sherber NS, Schulman SP, Ding EL, Powe NR. Race, medical researcher distrust, perceived harm, and willingness to participate in cardiovascular prevention trials. Medicine (Baltimore). 2008;87(1):1.

    Article  PubMed  Google Scholar 

  5. 5.

    Durant RW, Wenzel JA, Scarinci IC, Paterniti DA, Fouad MN, Hurd TC, et al. Perspectives on barriers and facilitators to minority recruitment for clinical trials among cancer center leaders, investigators, research staff and referring clinicians. Cancer. 2014;120(0 7):1097–105.

    Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    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. 2013;104(2):e16–31.

    Article  PubMed  Google Scholar 

  7. 7.

    Wright K, Giger JN, Norris K, Suro Z. Impact of a nurse-directed, coordinated school health program to enhance physical activity behaviors and reduce body mass index among minority children: a parallel-group, randomized control trial. Int J Nurs Stud. 2013;50(6):727–37.

    Article  PubMed  Google Scholar 

  8. 8.

    Cui Z, Seburg EM, Sherwood NE, Faith MS, Ward DS. Recruitment and retention in obesity prevention and treatment trials targeting minority or low-income children: a review of the clinical trials registration database. Trials. 2015;16 Available from:

  9. 9.

    Gul RB, Ali PA. Clinical trials: the challenge of recruitment and retention of participants. J Clin Nurs. 2010;19(1-2):227–33.

    Article  PubMed  Google Scholar 

  10. 10.

    Pfammatter AF, Mitsos A, Wang S, Hood SH, Spring B. Evaluating and improving recruitment and retention in an mHealth clinical trial: an example of iterating methods during a trial. mHealth. 2017;3 Available from:

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Hampl S, Paves H, Laubscher K, Eneli I. Patient engagement and attrition in pediatric obesity clinics and programs: results and recommendations. Pediatrics. 2011;128(Supplement 2):S59–64.

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Skelton JA, Beech BM. Attrition in paediatric weight management: a review of the literature and new directions. Obes Rev. 2011;12(5):e273–81.

    CAS  Article  PubMed  Google Scholar 

  13. 13.

    Xu F, Marchand S, Corcoran C, DiBiasio H, Clough R, Dyer CS, et al. A community-based nutrition and physical activity intervention for children who are overweight or obese and their caregivers. J Obes. 2017; [cited 2019 Jan 23]. Available from:

  14. 14.

    Leung MM, Mateo KF, Verdaguer S, Wyka K. Testing a web-based interactive comic tool to decrease obesity risk among minority preadolescents: protocol for a pilot randomized control trial. JMIR Res Protoc. 2018;7(11) Available from:

    Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Chen MS, Lara PN, Dang JHT, Paterniti DA, Kelly K. Twenty years post-NIH revitalization act: renewing the case for enhancing minority participation in cancer clinical trials. Cancer. 2014;120(0 7):1091–6.

    Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Shavers-Hornaday VL, Lynch CF, Burmeister LF, Torner JC. Why are African Americans under-represented in medical research studies? Impediments to participation. Ethn Health. 1997;2(1-2):31–45.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Hartlieb KB. Recruitment strategies and the retention of obese urban racial/ethnic minority adolescents in clinical trials: the FIT Families Project, Michigan, 2010 - 2014. Prev Chronic Dis. 2015;12 [cited 2019 Jan 15] Available from:

  18. 18.

    Carroll JK, Yancey AK, Spring B, Figueroa-Moseley C, Mohr DC, Mustian KM, et al. What are successful recruitment and retention strategies for underserved populations? Examining physical activity interventions in primary care and community settings. Transl Behav Med. 2011;1(2):234–51.

    Article  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Warner ET, Glasgow RE, Emmons KM, Bennett GG, Askew S, Rosner B, et al. Recruitment and retention of participants in a pragmatic randomized intervention trial at three community health clinics: Results and lessons learned. BMC Public Health. 2013;13:192.

    Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Heller C, Balls-Berry JE, Nery JD, Erwin PJ, Littleton D, Kim M, et al. Strategies addressing barriers to clinical trial enrollment of underrepresented populations: a systematic review. Contemp Clin Trials. 2014;39(2):169–82.

    Article  PubMed  Google Scholar 

  21. 21.

    Lingler JH, Schmidt K, Gentry A, Hu L, Terhorst L. Perceived research burden assessment (PeRBA): instrument development and psychometric evaluation. J Empir Res Hum Res Ethics JERHRE. 2014;9(4):46–9.

    Article  PubMed  Google Scholar 

  22. 22.

    Bodart S, Byrom B, Crescioni M, Eremenco S, Flood E. Perceived burden of completion of patient-reported outcome measures in clinical trials: results of a preliminary study. Ther Innov Regul Sci. 2018; 2168479018788053.

  23. 23.

    Ulrich CM, Zhou QP, Ratcliffe SJ, Knafl K, Wallen GR, Richmond TS, et al. Development and preliminary testing of the perceived benefit and burden scales for cancer clinical trial participation. J Empir Res Hum Res Ethics. 2018;13(3):230–8.

    Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Flores G, Portillo A, Lin H, Walker C, Fierro M, Henry M, et al. A successful approach to minimizing attrition in racial/ethnic minority, low-income populations. Contemp Clin Trials Commun. 2017;5:168–74.

    Article  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Huang H, Coker AD. Examining issues affecting african american participation in research studies. J Black Stud. 2010;40(4):619–36.

    Article  Google Scholar 

  26. 26.

    Bonevski B, Randell M, Paul C, Chapman K, Twyman L, Bryant J, et al. Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups. BMC Med Res Methodol. 2014;14(1):42.

    Article  PubMed  PubMed Central  Google Scholar 

Download references


The authors want to acknowledge the Children’s Aid, our community partners, and the members of our large team for their contribution to this study.


This study was funded by the Agency for Healthcare Research and Quality (AHRQ) grant #R21H5024117. The views expressed are those of the authors and not necessarily those of AHRQ.

Author information




MML conceived the study and secured the funding with the support of KFM. GD and SS interpreted the data. LH analyzed the retention and recruitment data. AR and AG assisted with the development of the recruitment and retention protocols. MML, KFM, GD, SS, and LH implemented study protocols and contributed to the writing of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to May May Leung.

Ethics declarations

Ethics approval and consent to participate

All study participants provided written informed consent. The study was approved by Hunter College IRB New York, NY.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

DeFrank, G., Singh, S., Mateo, K.F. et al. Key recruitment and retention strategies for a pilot web-based intervention to decrease obesity risk among minority youth. Pilot Feasibility Stud 5, 109 (2019).

Download citation


  • Childhood obesity
  • Research methods
  • Preadolescents
  • Trial
  • Community
  • Race/ethnicity
  • Recruitment
  • Retention
  • Pilot