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Figure. Profile of the Randomized Clinical Trial and Post Hoc Analysis
Table 1. Characteristics of the Intervention Groups
Table 2. Group Enrollment and the Effect of Message Type on the Decision to Enroll
1.
Rees CA, Stewart AM, Mehta S, et al. Reporting of participant race and ethnicity in published US pediatric clinical trials from 2011 to 2020. JAMA Pediatr. 2022;176(5):e220142. doi:
2.
Brewster RCL, Steinberg JR, Magnani CJ, et al. Race and ethnicity reporting and representation in pediatric clinical trials. ʱ徱ٰ. 2023;151(4):e2022058552. doi:
3.
Tilley BC, Mainous AG III, Amorrortu RP, et al; additional RECRUIT Trial Center and Parent Trials’ investigators. Using increased trust in medical researchers to increase minority recruitment: the RECRUIT cluster randomized clinical trial. Contemp Clin Trials. 2021;109:106519. doi:
4.
Richmond J, Anderson A, Cunningham-Erves J, Ozawa S, Wilkins CH. Conceptualizing and measuring trust, mistrust, and distrust: implications for advancing health equity and building trustworthiness. Annu Rev Public Health. 2024;45(1):465-484. doi:
5.
Griffith DM, Efird CR, Baskin ML, Webb Hooper M, Davis RE, Resnicow K. Cultural sensitivity and cultural tailoring: lessons learned and refinements after two decades of incorporating culture in health communication research. Annu Rev Public Health. 2024;45(1):195-212. doi:
6.
Skinner JS, Fair AM, Holman AS, Boyer AP, Wilkins CH. The impact of an educational video on clinical trial enrollment and knowledge in ethnic minorities: a randomized control trial. Front Public Health. 2019;7:104. doi:
7.
Huang Y, Shen F. Effects of cultural tailoring on persuasion in cancer communication: a meta-analysis: cultural tailoring in cancer communication. J Commun. 2016;66(4):694-715. doi:
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Kreuter MW, Sugg-Skinner C, Holt CL, et al. Cultural tailoring for mammography and fruit and vegetable intake among low-income African-American women in urban public health centers. Prev Med. 2005;41(1):53-62. doi:
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Kreuter MW, McClure SM. The role of culture in health communication. Annu Rev Public Health. 2004;25:439-455. doi:
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Griffith DM, Jaeger EC, Bergner EM, Stallings S, Wilkins CH. Determinants of trustworthiness to conduct medical research: findings from focus groups conducted with racially and ethnically diverse adults. J Gen Intern Med. 2020;35(10):2969-2975. doi:
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Baezconde-Garbanati LA, Chatterjee JS, Frank LB, et al. Tamale lesson: a case study of a narrative health communication intervention. J Commun Healthc. 2014;7(2):82-92. doi:
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Cunningham-Erves J, Barajas C, Mayo-Gamble TL, et al. Formative research to design a culturally-appropriate cancer clinical trial education program to increase participation of African American and Latino communities. BMC Public Health. 2020;20(1):840. doi:
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Noar SM, Grant Harrington N, Van Stee SK, Shemanski Aldrich R. Tailored health communication to change lifestyle behaviors. Am J Lifestyle Med. 2011;5(2):112-122. doi:
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Zhu P, Tatar O, Griffin-Mathieu G, et al. The efficacy of a brief, altruism-eliciting video intervention in enhancing COVID-19 vaccination intentions among a population-based sample of younger adults: randomized controlled trial. JMIR Public Health Surveill. 2022;8(5):e37328. doi:
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Stehr P, Reifegerste D, Rossmann C, Caspar K, Schulze A, Lindemann AK. Effective communication with caregivers to prevent unintentional injuries in children under seven years: a systematic review. Patient Educ Couns. 2022;105(8):2721-2730. doi:
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Krutsinger DC, Maloney SI, Courtright KR, Bartels K. Barriers and facilitators of surrogates providing consent for critically ill patients in clinical trials. a qualitative study. . 2024;166(2):304-310. doi:
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Stevens J, Rausch J, Osuagwu N, Lutz R. Efficacy of behavioral economic nudges to assist teen mothers: the healthy adolescent transitions randomized controlled trial. Prev Sci. 2024;25(3):509-520. doi:
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Giles EL, Robalino S, Sniehotta FF, Adams J, McColl E. Acceptability of financial incentives for encouraging uptake of healthy behaviours: a critical review using systematic methods. Prev Med. 2015;73:145-158. doi:
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de Keyser HH, Brinton JT, Bothwell S, Camacho M, Kempe A, Szefler SJ. Encouraging adherence in adolescents with asthma using financial incentives: an RCT. Pediatr Pulmonol. 2023;58(10):2823-2831. doi:
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Hoskins K, Ulrich CM, Shinnick J, Buttenheim AM. Acceptability of financial incentives for health-related behavior change: an updated systematic review. Prev Med. 2019;126:105762. doi:
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Cummings KM, Jette AM, Rosenstock IM. Construct validation of the health belief model. Health Educ Monogr. 1978;6(4):394-405.
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Children’s Hospital of Philadelphia Research Institute. Generic appeal. Accessed October 8, 2024.
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Children’s Hospital of Philadelphia Research Institute. Appeal with mom and daughter. Accessed October 8, 2024.
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Winston S. Health Information National Trends Survey (HINTS.gov). Med Ref Serv Q. 2021;40(2):215-223. doi:
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Davis KC, Nonnemaker J, Duke J, Farrelly MC. Perceived effectiveness of cessation advertisements: the importance of audience reactions and practical implications for media campaign planning. Health Commun. 2013;28(5):461-472. doi:
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Joo JY, Liu MF. Culturally tailored interventions for ethnic minorities: a scoping review. Nurs Open. 2021;8(5):2078-2090. doi:
Original Investigation
Equity, Diversity, and Inclusion
DZ𳾲12, 2024

Culturally Tailored Messages and Trial Registry Enrollment: A Randomized Clinical Trial

Author Affiliations
  • 1Division of Biomedical Informatics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Children’s Hospital of Philadelphia, Philadelphia
  • 2The Annenberg School for Communication, University of Pennsylvania, Philadelphia
  • 3Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
  • 4Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
  • 5Pediatrics Nephrology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
  • 6Pediatric Research, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
  • 7Center for Clinical Epidemiology and Biostatistics, Biostatistics Analysis Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia
  • 8Penn Medicine Abramson Cancer Center, Tobacco and Environmental Carcinogenesis Program, Philadelphia, Pennsylvania
JAMA Netw Open. 2024;7(11):e2444229. doi:10.1001/jamanetworkopen.2024.44229
Key Points

Question Does a culturally tailored video message impact parents’ willingness to enroll Black children in clinical trials?

Findings In this randomized clinical trial including 125 individuals comparing registry enrollment rates after seeing a generic video, culturally tailored video, or no video with or without a monetary incentive to participate: all messages had similar enrollment rates (72%)—lower when receiving an ink pen incentive (34%). After adjusting for trust, receiving a monetary incentive was associated with higher odds of enrollment.

Meaning The findings of this trial suggest targeted messaging is not associated with a higher decision to enroll in a pediatric clinical trial registry; combining messaging with monetary incentives may improve clinical trials enrollment.

Abstract

Importance Marginalized populations have lower levels of clinical trial representation than other populations. Tailoring recruitment materials and providing incentives may improve representation.

Objective To determine whether culturally tailored video improves parents’ decision to enroll (DTE) Black children in a research registry.

Design, Setting, and Participants A randomized clinical trial, using mixed methods and consecutive sampling, was conducted in an urban primary care pediatric clinic. A post hoc study assessed the association of a monetary incentive with DTE. Ninety-three parents were recruited before their child’s scheduled clinic visit. Participants completed a survey during which they were randomly assigned to review a paragraph (control group), generic video, or tailored video and received a gift card. Video watchers completed questions about its effectiveness. All participants were invited to join the registry. In the post hoc study, consenting participants followed the control group protocol and the coordinator promised them an ink pen for participating. The study was conducted between November 15, 2022, and August 29, 2023.

Intervention A survey regarding the importance of being included in research studies was administered after participants watched a culturally tailored video.

Main Outcome and Measures The primary outcome was DTE. Covariates were message effectiveness, clinical trial knowledge, and trust. Intention-to-treat analysis was performed.

Results A total of 125 individuals were included. All groups had similar mean (SD) parent age (overall, 32.6 [7.35] years), gender (110 [88.0%] women), and race (116 [92.8%] Black or African American). There was no significant difference in the odds of DTE between the appeal video and control (odds ratio [OR], 1.19; 95% CI, 0.38-3.72) or between the generic video and control (OR, 1.91; 95% CI, 0.54-6.71). However, DTE was higher for all 3 gift card groups vs the ink pen incentive group (eg, control vs ink pen incentive: OR, 5.01; 95% CI, 1.68-14.95). After adjusting for trust, monetary incentives were associated with higher odds of DTE (adjusted OR, 5.92; 95% CI, 2.44-14.39).

Conclusions and Relevance In this randomized clinical trial, targeted messaging was not associated with a higher decision to enroll in a pediatric clinical trial registry. There may be a role for combining holistic messaging with monetary incentives to improve enrollment.

Trial Registration ClinicalTrials.gov Identifier:

Introduction

Children from racially and ethnically marginalized groups in the US are less likely to be enrolled in randomized clinical trials than other populations, placing these groups at an increased risk for diagnostic and treatment disparities for innovative approaches to care. Historical data about the enrollment of Black or African American individuals is likely impacted by potential unwillingness to disclose race and ethnicity (underreporting bias).1 One study suggested that with increasing reporting, the lower-than-expected enrollment of marginalized children persists.2 Although there are myriad reasons for this, one potentially modifiable reason is health care system trust among these groups.3,4

Adult studies have reported variable success in overcoming historical mistrust using culturally tailored messaging.5-8 Cultural tailoring, defined as adapting messages to the cultural characteristics of an ethnic group,9 may overcome known obstacles, such as having only White researchers deliver messages to minoritized individuals10 or not considering the cultural, historical, and linguistic differences between groups. Although surface tailoring by changing the face of the message delivered is straightforward and occasionally useful,7 the literature better supports tailoring to social and historical characteristics, values, and traditions.8,11-13 There are limited data about the potential for cultural tailoring in pediatrics. Zhu and colleagues14 demonstrated some benefit of altruism-eliciting (inclusion) appeal messaging on COVID-19 vaccine uptake among youth with neutral opinions. Stehr and colleagues15 systematically examined communication strategies and observed that tailoring could contribute to possibly effective communication.

An alternative to circumventing mistrust through cultural tailoring may be to respond more directly to the historical and ongoing perceived abuses to marginalized communities by health systems. From that perspective, tailoring alone may be insufficient; behavioral economic techniques, such as public recognition, charitable donations,16 nudges,17 or direct financial incentives may be effective.18 Financial incentives have had variable success in overcoming obstacles to pediatric and younger adult behavior change.19,20

The objectives of this project were to codesign culturally tailored inclusion appeals for parents of younger children and evaluate the effects of these appeals vs standard recruitment strategy. The study hypothesized that culturally tailored videos codesigned with community advisors and including appeals from Black families would increase their decision to enroll (DTE) rate in clinical trials compared with a generic video or written information about trial enrollment (H1). We further hypothesized that high baseline levels of trust and clinical trial knowledge would be associated with higher DTE (H2). This study further tested the hypothesis that financial incentives to enroll would be associated with higher DTE (H3).

Methods
Study Sample

The Children’s Hospital of Pennsylvania (CHOP) Institutional Review Board approved the study, confirming adherence to ethical standards and regulatory requirements before starting the research. The clinical trial protocol is available in Supplement 1. Participants provided informed consent and were told they would receive a $25 gift card. The study was considered a pilot study because of our decision to focus on families who identified as Black or African American, with an understanding that these results would lead to a larger study focusing on more historically disadvantaged groups, and how tailored messaging impacts historically disadvantaged group enrollment in a clinical trial. This report followed the Consolidated Standards of Reporting Trials () reporting guideline for randomized studies.

We invited US younger adults with children aged 0 to 12 years being seen in primary clinics in Philadelphia to complete a survey about joining a pediatric research registry. A research coordinator recruited parents between November 15, 2022, and August 29, 2023, focusing on 2 clinics with a large percentage of Black patients, as assessed by trained research team members and based on self-reported data in our scheduling system. The research coordinator obtained written informed consent as the first question in the survey. We also worked with a subset of the CHOP Research Advisory Group (RAG).

Mixed Methods Approach to Video Development

We worked with a subset of the CHOP RAG to create a culturally tailored video, which was designed to appeal to Black families about the importance of being included in research studies. The RAG provided input to create the video, including reviewing the script and selecting a filming location. The RAG includes family members of CHOP patients who, in addition to advising CHOP leadership, consult on research projects involving CHOP patients or families. The RAG voted on the aspects of cultural tailoring that would be important for the message, including social and historical characteristics. They were asked what would be relevant to the community based on constructs from the health belief model.21 They determined that risk susceptibility, severity, and action benefits would most likely be relevant to the community. Once we had a set of candidate appeals based on these constructs, the RAG reviewed and evaluated each regarding message targetedness and possible effectiveness. Based on their feedback, we created the appeal video for the study. Separately, the CHOP research registry team designed and produced a video describing the research registry and encouraging parents to join. This video, hereinafter called the generic video, featured a professional speaker who described the registry over static pictures of the hospital, research laboratories, and children, followed by an approximately 1-minute appeal by a physician to all families to join the registry.

For our appeal videos, we edited the generic video to include a targeted appeal using both rational messaging (ie, “...if it wasn’t for Brown and Black families participating in research, results of these studies might not benefit people like us.”) and bandwagon messaging (ie, “We’re parents here at CHOP. We’ve also been a part of the research going on here. And we need you to join us.”) The inclusion appeal video further acknowledged that there are historical reasons why Black or African American parents may mistrust medical institutions and be hesitant to enroll in clinical research to address tailoring to social and historical characteristics (ie, “In this country there has been a history of research impacting Black and Brown families in a negative way.”) These segments replaced other video segments of the same length to ensure that all videos were approximately the same duration. The generic appeal22 and the appeal with mother and daughter23 videos have been posted on a hosting site.

Study Protocol

The Figure summarizes the trial flow profile. Participants completed the study using a web-based survey tool (Qualtrics XM; Qualtrics). Participants were first screened for eligibility. We included individuals who identified as parents or guardians of children younger than 13 years. Eligible participants completed demographics questions, a 3-question section about clinical trials knowledge, and a 5-question section about health information trust from the National Institutes of Health Health Information National Trends Survey (HINTS).24 They were then randomly assigned using the built-in randomizer function of the survey tool to (1) control (read information about the registry), (2) generic (view a generic video about the registry), or (3) appeal (like the generic video, but edited to include the culturally tailored video segment) groups. Participants who were randomized to view either video completed a 6-item perceived message effectiveness scale after viewing.25 All participants answered 1 final question to determine whether they would like to be enrolled in the registry. If they agreed to enroll, a research assistant helped them with the enrollment process.

Post Hoc Study

Preliminary information from our onsite research coordinator suggested that most parents were deciding to enroll in the registry. We sought to examine the influence of the $25 gift card on the decision to enroll. For that reason, we performed a post hoc study in the same settings as the trial, where we repeated the control condition (being presented only with information to read about the registry) but with a revised invitation to participate and promise of an ink pen as opposed to a gift card. This group was designated as the ink pen group. This process resulted in 4 groups: (1) control (text introduction from the registry, with a gift card), (2) generic (video detailing the registry’s objectives, no tailoring, with a gift card), (3) appeal (generic video edited to include a tailored appeal, with a gift card), and (4) ink pen (similar to control but received a university ink pen).

Measures

The primary outcome was the decision to enroll, measured as yes or no. Covariates included clinical trials knowledge, health information trust, perceived message effectiveness, and race and ethnicity. We used a 2-item scale from the HINTS19 to assess clinical trials knowledge. Questions included previous participation (yes or no), level of knowledge (0, 1, 2, 3), and potential influence of altruism on their decision to participate in a trial (0, 1, 2, 3). The total possible scores ranged from 0 to 3, with higher scores indicating more knowledge.

For health information trust, we used a 5-item, 4-point ordinal scale from HINTS (0 = not at all to 3 = a lot).24 The survey item investigates the level of trust placed in 5 sources of health information: physicians, family or friends, government health agencies, religious organizations, and health groups. The item sum indicates the level of trust and yields a score span of 0 to 15, where higher scores indicate more trust. The Cronbach α level was 0.61, indicating the items measured different discernible domains or components of hospital trust.

To measure perceived message effectiveness, we used a 6-item scale based on work done by Davis and colleagues.25 The perceived message effectiveness score was the sum of the 6 items, yielding a total possible score of 6 to 30, with higher scores indicating higher message effectiveness (Cronbach α = 0.91). These measures were collected from participants who viewed the generic or appeal video.

We assessed race and ethnicity using language derived from recent National Institutes of Health guidance on collecting these data.26 We included this demographic variable to understand whether our targeted strategy to focus on Black families was achieved for this study of culturally tailored video messages.

Statistical Analysis

The study-dependent variable was the decision to enroll in the research registry (DTE) as a function of the message type viewed by the participant. We calculated the sample size assuming an effect size of 0.4, based on data published by Skinner and colleagues6 for a 2-arm study involving ethnic minorities, where a tailored message increased participation from 43% to 62%. We determined that a final sample size of 25 patients per arm would be sufficient based on this effect size. We factored in a 10% attrition rate among participants.

We used graphs and summary statistics (percentages, mean, median, kurtosis, skewness) to examine the distribution of covariate and outcome variables, describe the sample, and help determine the appropriate analysis for each hypothesis. All analyses followed the intention-to-treat analytic approach. To examine group equality on demographic variables, baseline level of trust, and clinical trial knowledge, we used χ2 analysis for categorical variables and general linear model analysis of variance for interval-level variables (Supplement 1). We calculated P values, with P < .05 indicating statistical significance.

To examine messaging type and DTE (H1: the 3-arm randomized clinical trial study), we conducted a χ2 analysis and logistic regression. Using logistic regression, we modeled 1 = enrollment and used maximum likelihood model estimates to compute the DTE odds ratio (OR) and 95% Wald CIs. To assess the level of trust and DTE and clinical trials knowledge and DTE (H2), we computed separate rank biserial correlations for each incentivized group (text, generic, and appeal) and the nonrandomized ink pen messaging group.

To assess our secondary hypothesis that a financial incentive of $25 to enroll in the study would lead to higher DTE vs being offered an ink pen (H3), we computed the ORs between the nonrandomized ink pen incentive group and each randomized gift card incentivized group. All analyses were conducted using SAS Statistical software, version 15.1 (SAS Institute Inc).

Results

Table 1 summarizes the characteristics of the overall sample. A total of 125 participants were included in the analysis (29 in the control group, 30 in the generic group, 34 in the appeal group, and 32 in the ink pen incentive group; 110 [88.0%] were women; 15 [12.0%] were men; mean [SD] age, 32.6 [7.35] years), and 116 (92.8%) self-identified as Black or African American. Seven participants (5.6%) had not completed high school. Of 93 randomized children, 47 (50.5%) were male and 46 (49.5%) were female. The group receiving the ink pen incentive had a significantly lower baseline level of trust than the group watching the generic video (mean [SD], 8.9 [2.58] vs 10.7 [2.55]; P = .03) but was otherwise similar to the other groups. Clinical trials knowledge was similar for all groups (0.88 [0.76] of 3 points; P = .54).

H1: Association Between Messaging Type DTE

Table 1 and Table 2 summarize the trial results. The overall rate of DTE was 65.6%. The generic video group had the highest DTE rate (83.3%), followed by the appeal video (75.8%). The odds of DTE were not significantly different between the 3 types of messaging: appeal video vs control (OR, 1.19; 95% CI, 0.38-3.72), generic video vs control (OR, 1.91; 95% CI, 0.54-6.71), and generic vs appeal (OR, 0.63; 955 CI, 0.18-2.18). Both the generic video and the appeal video had similar scores for message effectiveness (mean [SD] of a possible 30 points, 22.5 [7.1] vs 24.2 [4.6]; P = .25).

H2: Association Between Trust and Clinical Trials Knowledge of DTE

We examined the association between trust and knowledge and DTE within each group. In the ink pen group, higher trust was associated with DTE (n = 32; r = 0.38; P = .03). In contrast, in the gift card groups, trust had no association with DTE in the overall (r = 0.03; P = .75), appeal (n = 33, r = 0; P = .98), control (n = 29; r = 0.21; P = .28), and generic (n = 30; r = −0.23; P = .21) analyses. Clinical trials knowledge was associated with DTE (OR, 2.05; 95% CI, 1.16-3.63).

H3: Role of Financial Incentives

The ink pen group had the lowest DTE (34.4%). The odds of DTE were significantly higher for each gift card group in comparison with the ink pen incentive group. Specifically, the appeal group had a 6 times higher odds of DTE compared with the ink pen incentive group (OR, 5.97; 95% CI, 2.03-17.56), while the control group had a 5 times higher odds of DTE in comparison with the ink pen incentive group (OR, 5.01; 95% CI, 1.68-14.95). More notably, the generic group had a 9 times higher odds of DTE in contrast to the ink pen group (OR, 9.55; 95% CI, 2.9-31.9). Clinical trials knowledge was associated with DTE in the ink pen group (n = 32; r = 0.40; P = .02) in contrast to the negligible correlations in the gift card groups (incentivized overall: n = 92; r = 0.13; P = .22; appeal: n = 33; r = 0.07; P = .69; control: n = 29; r = 0.15; P = .42 ; and generic: n = 30; r = 0.12; P = .49). After adjusting for trust, monetary incentives were associated with higher odds of DTE (adjusted OR, 5.92; 95% CI, 2.44-14.39).

Discussion

Our study examined whether baseline trust and clinical trial knowledge levels could be increased with progressively more tailored messaging and monetary incentives. We did not observe a significant incremental benefit of replacing the text information with video (either generic or culturally tailored) on increasing DTE when a financial incentive was provided. Instead, we observed that all 3 groups receiving a gift card for reviewing text, generic video, or tailored video had significantly higher DTE than the group receiving text information and an ink pen. The reason may be offering a modest incentive (a $25 gift card) outweighed potential effects of the type of message (text, generic video, or tailored video) on DTE.

We found that the association between trust and DTE changes, with trust being an important consideration when there is no incentive but less relevant when there is an incentive. Our data suggest that monetary incentives alone may be more effective in changing behavior in this population than using targeted videos alone. This finding may be related to baseline levels of mistrust that even targeted videos cannot reverse, but that may be overcome using monetary incentives. However, one must ensure that the level of monetary incentives is not coercive, is commensurate with the level of risk and demands on participants’ time, and is reviewed by ethics review boards to protect participants’ autonomy. Other studies focusing on using only culturally tailored messages have yielded minimal improvement in outcomes, especially in light of the effort required to tailor messages for even 1 subpopulation of interest.7,27

The literature on the acceptability of direct financial incentives is mixed. Hoskins and colleagues20 conducted a systematic review to understand the evidence of the acceptability of using financial incentives for health-related behavior change. Their findings note that fairness, messaging, character, liberty, and trade-offs may determine whether this approach should be acceptable. Other research, such as by de Keyser and colleagues,19 has explored this approach in pediatrics based on feasibility and acceptability studies with variable success and no apparent downside.

Strengths and Limitations

One strength in our study is emphasizing parents’ voices during the research and intervention design process and integrating their decisions in implementing the intervention trial. We used mixed methods research, beginning with a focus group of patient’s families, known as the RAG, who provided study design advice, codesigned the video content, iteratively refined the script for the videos, and selected the final culturally tailored appeal used in the trial.

These results are subject to study limitations. First, this study sampled patients from only a few sites in 1 primarily urban setting. Other marginalized groups were underrepresented for these findings to be generalizable. Although similar to the 3 randomized arms, participants in the fourth arm of the study differed in terms of baseline trust and the timing for data collection. This arm was recruited approximately 6 months after the other 3. National or institutional activities could have negatively impacted trust during that time, which might have set a different level of receptivity to deciding to participate in clinical trials. Patients were aware of the incentive before they agreed to participate; therefore, baseline trust will represent both their a priori beliefs and an update they may have had once the study team mentioned the incentive.

Our study used only baseline, self-reported assessments of trust and clinical trials knowledge, with no additional data collected after watching the videos or receiving news about the incentive. Therefore, we cannot assert how trust and clinical trials knowledge changed or whether DTE was attributable to that change.

In addition, this was a pilot trial because it attempted to assess the impact of culturally tailored videos for only 1 population. Based on these results, it will be important to design and conduct a larger trial involving more historically marginalized populations, different incentive models, and perhaps using trial enrollment, rather than DTE in a registry, as the primary outcome.

Conclusions

The data from this randomized clinical trial suggest a potential role for combining holistic messaging with monetary incentives to overcome preconceived mistrust or lack of knowledge about the importance of clinical trials. These data also suggest that, in the presence of monetary incentives, cultural tailoring may have less impact on patient decision-making than previously considered. Further research is needed to examine whether monetary incentives overcome prior mistrust and knowledge deficits.

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Article Information

Accepted for Publication: September 18, 2024.

Published: November 12, 2024. doi:10.1001/jamanetworkopen.2024.44229

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2024 Johnson KB et al. vlog Open.

Corresponding Author: Kevin B. Johnson, MD, MS, Division of Biomedical Informatics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 3700 Hamilton Walk, B202 Richards Bldg, Philadelphia, PA 19104 (jokevin@upenn.edu).

Author Contributions: Drs Johnson and Taylor had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Johnson, Tan.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Johnson, Iannone, Taylor, Tan.

Critical review of the manuscript for important intellectual content: Johnson, Taylor, Furth, Tan.

Statistical analysis: Iannone, Taylor.

Obtained funding: Johnson, Tan.

Administrative, technical, or material support: Iannone, Furth, Tan.

Supervision: Johnson, Tan.

Conflict of Interest Disclosures: Dr Johnson reported receiving personal fees from the JAMA Health Forum Editorial Board during the conduct of the study; grants from the National Institutes of Health, and personal fees from University of Michigan, Taubman Institute External Advisory Board, Robert Wood Johnson Foundation National Advisory Committee, Washington University of St Louis EAB, and the University of Nebraska, Omaha, EAB outside the submitted work. No other disclosures were reported.

Funding/Support: The Penn Medical Communication Research Institute supported the research reported in this publication.

Role of the Funder/Sponsor: The Penn Medical Communication Research Institute had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Data Sharing Statement: See Supplement 2.

Additional Contributions: Initial study design advice was provided by the Penn Message Effects Lab and Jessica Fishman, PhD (University of Pennsylvania), who were not compensated for their contribution. The creation and editing of videos were performed by Waldo Aguirre and Anna Gamarnik, BFA (Annenberg School for Communication), who were compensated for their work. We appreciate the efforts of the Research Advisory Group (members received per-meeting compensation) and support staff: Mark Porter, MS, Heather Cathrall, CIP, MBE (Children's Hospital of Philadelphia), Rosemary Laberee, Troy Singleton, Jamiel Owens, Rachel Honore, Michele Abraham-Montgomery, and L’Vonne McMillan, and we acknowledge the tremendous work done to recruit patients into this study by Valerie McGoldrick and Asia Vincent, who were not compensated for their contribution.

References
1.
Rees CA, Stewart AM, Mehta S, et al. Reporting of participant race and ethnicity in published US pediatric clinical trials from 2011 to 2020. JAMA Pediatr. 2022;176(5):e220142. doi:
2.
Brewster RCL, Steinberg JR, Magnani CJ, et al. Race and ethnicity reporting and representation in pediatric clinical trials. ʱ徱ٰ. 2023;151(4):e2022058552. doi:
3.
Tilley BC, Mainous AG III, Amorrortu RP, et al; additional RECRUIT Trial Center and Parent Trials’ investigators. Using increased trust in medical researchers to increase minority recruitment: the RECRUIT cluster randomized clinical trial. Contemp Clin Trials. 2021;109:106519. doi:
4.
Richmond J, Anderson A, Cunningham-Erves J, Ozawa S, Wilkins CH. Conceptualizing and measuring trust, mistrust, and distrust: implications for advancing health equity and building trustworthiness. Annu Rev Public Health. 2024;45(1):465-484. doi:
5.
Griffith DM, Efird CR, Baskin ML, Webb Hooper M, Davis RE, Resnicow K. Cultural sensitivity and cultural tailoring: lessons learned and refinements after two decades of incorporating culture in health communication research. Annu Rev Public Health. 2024;45(1):195-212. doi:
6.
Skinner JS, Fair AM, Holman AS, Boyer AP, Wilkins CH. The impact of an educational video on clinical trial enrollment and knowledge in ethnic minorities: a randomized control trial. Front Public Health. 2019;7:104. doi:
7.
Huang Y, Shen F. Effects of cultural tailoring on persuasion in cancer communication: a meta-analysis: cultural tailoring in cancer communication. J Commun. 2016;66(4):694-715. doi:
8.
Kreuter MW, Sugg-Skinner C, Holt CL, et al. Cultural tailoring for mammography and fruit and vegetable intake among low-income African-American women in urban public health centers. Prev Med. 2005;41(1):53-62. doi:
9.
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