Literature DB >> 28249024

Health disparities and clinical trial recruitment: Is there a duty to tweet?

Arthur Caplan1, Phoebe Friesen1.   

Abstract

While it is well known that the homogeneity of clinical trial participants often threatens the goal of attaining generalizable knowledge, researchers often cite issues with recruitment, including a lack of interest from participants, shortages of resources, or difficulty accessing particular populations, to explain the lack of diversity within sampling. It is proposed that social media might provide an opportunity to overcome these obstacles through affordable, targeted recruitment advertisements or messages. Recruiters are warned, however, to be cautious using these means, since risks related to privacy and transparency can take on a new hue.

Entities:  

Mesh:

Year:  2017        PMID: 28249024      PMCID: PMC5331960          DOI: 10.1371/journal.pbio.2002040

Source DB:  PubMed          Journal:  PLoS Biol        ISSN: 1544-9173            Impact factor:   8.029


It looks like there might be. The homogeneity of clinical trial participants has long been recognized as both an ethical and scientific issue. Trials conducted in the United States that aim to better understand our health and how to improve it primarily involve middle- and upper-class, younger, white male participants, leading to skewed data. Information that can benefit huge numbers of people is not obtained, harming both those involved in the research process who lack a broad baseline for comparisons and those left out. Relying on limited samples of participants within biomedical research leads to the development of a body of clinical knowledge that may not be generalizable but that is often treated as such. This means that overall needs are less well understood, the ability to identify and compare variations is nonexistent, and available interventions are limited in scope. Including diverse populations in clinical research may lead to better, more robust data, greater equality, and, eventually, fewer disparities in health outcomes. Despite the Revitalization Act of 1993, which required that clinical trials funded by the National Institutes of Health include women and minorities as participants, significant progress has not been made [1]. An analysis of 86 federally funded randomized control trials published in 2009 found that 75% didn’t offer any reporting of outcomes by sex, while 64% offered no analysis of the data in terms of race or ethnicity. Only three of these publications acknowledged that a lack of diversity may impact the generalizability of the reported results [2]. Many drugs have been withdrawn from the market only after the distinct health risks for women became apparent, results that did not surface in clinical trials primarily composed of men [3]. The underexplored connection between racial and ethnic disparities and illness can readily be seen in the area of cardiovascular health. In 31 North American cardiovascular cohort studies analyzed by Ranganathan et al., 18 restricted sampling to only whites or included no report or analysis of race or ethnicity [4], despite evidence suggesting that cardiovascular health varies significantly between different ethnic groups [5]. Reasons given for the exclusion of women and ethnic and racial minorities from research include a lack of interest from potential participants, physician bias, difficulties accessing these populations, and a lack of resources [4, 6–8]. However, there is growing evidence that suggests that a lack of interest from participants is unlikely to be a significant contributor to the exclusion of racial and ethnic minorities. When asked, blacks and Hispanics within the US are just as likely as whites to say they are willing to participate in clinical trials [9-11], a surprising finding for many, given the history of the mistreatment of minorities within research settings in the US (e.g., The Tuskegee Syphilis Experiment) and the lower levels of trust in physicians reported in minority populations [9]. Additionally, the underrepresentation of minorities in clinical trials is not straightforward. While it is true that minorities in the US make up a small proportion of the samples recruited for Phase II and III clinical trials, those which have the most potential to benefit participants, minorities are in fact overrepresented in Phase I trials, which involve the greatest risks and the lowest likelihood of benefit. These early trials often do not provide treatment or compensation to those injured as a result of participation [12, 13]. This suggests that not only is there a duty to include more minorities in research (within Phase II and III trials), but there may also be an obligation to broaden the number of non-minorities participating in Phase I trials. The solution to some of these recruitment issues is likely right in front of you. If you’re like most Americans, you’ve already stared at it today [14]—Facebook might be the answer. Social media sites have enormous potential for balancing out unfair sampling within clinical trials. With 86% of Americans online [14] and four-fifths of them using the internet to look for health information [15], their reach is vast, offering researchers an opportunity to access potential participants with unprecedented precision. As some have noted, “social media may provide an infrastructure that allows investigators to interact with the public in new ways, including stimulating interest in new clinical trials with targeted messages to connect patients, caregivers, and families with potential trial enrollment websites” (our emphasis) [16]. The potential for targeted messages and advertisements grants those tasked with recruitment for clinical trials an incredible amount of control over how recruitment materials are presented, to whom and when, making the task of recruiting a more diverse sample easier. Multiple advertisements can be designed with particular audiences in mind and shown exclusively to potential participants on the basis of age, location, language, education, relationship status, or occupation. Advertising to a particular group can be stopped once enough participants have been enrolled, and recruitment efforts can be directed towards populations that are under-enrolled. While 79% of internet users have Facebook accounts, expanding recruitment efforts to Twitter and Instagram is likely to make diverse sampling even easier [14]. While 28% of black and Hispanic internet users have Twitter, only 20% of white people do. The rates are even higher on Instagram, with 47% of black internet users, 38% of Hispanic internet users, and only 21% of their white equivalents having an account [17]. Each of these sites offers the possibility of paid, targeted advertisements, as well as free accounts from which researchers can post recruitment notices, answer questions, and communicate with potential participants. Research teams have utilized both Facebook and Craigslist to recruit young female cancer survivors, despite this being a traditionally difficult population to recruit [18]. Several other researchers have also reported successful experiences recruiting and retaining diverse, hard-to-reach, and minority populations through social media [19-26]. Still, despite some success, little clinical trial recruitment is being done through social media. A recent article in the Journal of the American Medical Association Oncology reports that of 1,500 tweets containing the words “lung cancer” that were analyzed, nearly 18% of those related to clinical trials, but virtually none of these linked to recruitment sites (one tweet only) [16]. There are worries concerning the use of social media recruitment for clinical trials that may hinder its use. Issues of ensuring privacy may take on a different hue in online recruiting. Individuals who are posting publicly about their experiences of illness may not be aware that their words are available to the public, including researchers, and so may be alarmed if they see an advertisement or receive a message inviting them to participate in a clinical trial. Researchers need to take care to make their presence known in online spaces so that they are not perceived as invasive by those involved in intimate, supportive patient networks [27]. Surprising patients who believe their information was posted privately can also be avoided by posting recruitment notices to the Facebook page of a patient or advocacy group or by asking a community leader (who has many followers) to retweet, repost, or share a message or link [28]. Limits in terms of space (e.g., advertisements) and character counts (e.g., tweets) may also threaten researchers’ transparent disclosures, since initial recruitment materials will inevitably include only some information related to trial risks, benefits, and exclusions. Online recruiters must be especially careful to stay within the bounds of the Food and Drug Administration guidelines regarding clinical trial recruitment. Participants must never be induced by the promise of a cure or led to believe they are being given “free medical treatment.” They must always be fully informed of the chances that they will be given an experimental intervention and the chances that they will be given a placebo treatment [29]. Inequalities related to race and gender exist at every stage of clinical trials. Researchers have an obligation to remedy these inequalities, both for the sake of women and minorities who deserve to benefit from the research burdens they bear and in order to better contribute to generalizable knowledge. The potential to target particular populations through social media is a tool that can help researchers fulfill this obligation. Done in an ethically sensitive manner, social media can aid recruitment efforts in order to involve a truly representative sample of the population they aim to investigate.
  21 in total

1.  Challenging assumptions about minority participation in US clinical research.

Authors:  Jill A Fisher; Corey A Kalbaugh
Journal:  Am J Public Health       Date:  2011-10-20       Impact factor: 9.308

2.  Exploiting a research underclass in phase 1 clinical trials.

Authors:  Carl Elliott; Roberto Abadie
Journal:  N Engl J Med       Date:  2008-05-29       Impact factor: 91.245

3.  Exploring the viability of using online social media advertising as a recruitment method for smoking cessation clinical trials.

Authors:  Mai Frandsen; Julia Walters; Stuart G Ferguson
Journal:  Nicotine Tob Res       Date:  2013-10-14       Impact factor: 4.244

4.  A Diversified Recruitment Approach Incorporating Social Media Leads to Research Participation Among Young Adult-Aged Female Cancer Survivors.

Authors:  Jessica R Gorman; Samantha C Roberts; Sally A Dominick; Vanessa L Malcarne; Andrew C Dietz; H Irene Su
Journal:  J Adolesc Young Adult Oncol       Date:  2014-06-01       Impact factor: 2.223

Review 5.  The causes and effects of socio-demographic exclusions from clinical trials.

Authors:  C Bartlett; L Doyal; S Ebrahim; P Davey; M Bachmann; M Egger; P Dieppe
Journal:  Health Technol Assess       Date:  2005-10       Impact factor: 4.014

6.  Online social networks for patient involvement and recruitment in clinical research.

Authors:  Gemma Sinead Ryan
Journal:  Nurse Res       Date:  2013

7.  Differences in risk factors, atherosclerosis, and cardiovascular disease between ethnic groups in Canada: the Study of Health Assessment and Risk in Ethnic groups (SHARE)

Authors:  S S Anand; S Yusuf; V Vuksan; S Devanesen; K K Teo; P A Montague; L Kelemen; C Yi; E Lonn; H Gerstein; R A Hegele; M McQueen
Journal:  Lancet       Date:  2000-07-22       Impact factor: 79.321

8.  The effect of race and sex on physicians' recommendations for cardiac catheterization.

Authors:  K A Schulman; J A Berlin; W Harless; J F Kerner; S Sistrunk; B J Gersh; R Dubé; C K Taleghani; J E Burke; S Williams; J M Eisenberg; J J Escarce
Journal:  N Engl J Med       Date:  1999-02-25       Impact factor: 91.245

9.  Web-based recruiting for health research using a social networking site: an exploratory study.

Authors:  Yeshe Fenner; Suzanne M Garland; Elya E Moore; Yasmin Jayasinghe; Ashley Fletcher; Sepehr N Tabrizi; Bharathy Gunasekaran; John D Wark
Journal:  J Med Internet Res       Date:  2012-02-01       Impact factor: 5.428

10.  Exclusion and inclusion of nonwhite ethnic minority groups in 72 North American and European cardiovascular cohort studies.

Authors:  Meghna Ranganathan; Raj Bhopal
Journal:  PLoS Med       Date:  2006-03       Impact factor: 11.069

View more
  16 in total

1.  Population Diversity Challenge the External Validity of the European Randomized Controlled Trials Comparing Laparoscopic Gastric Bypass and Sleeve Gastrectomy.

Authors:  Guilherme S Mazzini; Jad Khoraki; Matthew G Browning; Bernardo M Pessoa; Luke G Wolfe; Guilherme M Campos
Journal:  Obes Surg       Date:  2020-03       Impact factor: 4.129

2.  Clinical Trials in the Era of Digital Engagement: A SWOG Call to Action.

Authors:  Krishna S Gunturu; Don S Dizon; Judy Johnson; Anne Marie Mercurio; Ginny Mason; Dana B Sparks; Wendy Lawton; Jennifer R Klemp
Journal:  JCO Clin Cancer Inform       Date:  2020-03

Review 3.  Moving the Dial Toward Equity in Parkinson's Disease Clinical Research: a Review of Current Literature and Future Directions in Diversifying PD Clinical Trial Participation.

Authors:  Jennifer Adrissi; Jori Fleisher
Journal:  Curr Neurol Neurosci Rep       Date:  2022-06-17       Impact factor: 6.030

4.  Recruitment of adults with moderate eczema for a randomised trial: Comparison of traditional versus modern methods.

Authors:  Fabrizio Spada; Ian P Harrison; Tanya M Barnes; Kerryn A Greive; Daisy Daniels; Joshua P Townley; Niyaz Mostafa; Andrew T Fong; Philip L Tong; Stephen Shumack
Journal:  Australas J Dermatol       Date:  2021-09-03       Impact factor: 2.481

5.  Facebook ads to the rescue? Recruiting a hard to reach population into an Internet-based behavioral health intervention trial.

Authors:  Lori Wozney; Karen Turner; Benjamin Rose-Davis; Patrick J McGrath
Journal:  Internet Interv       Date:  2019-04-12

6.  Reframing implementation science to address inequities in healthcare delivery.

Authors:  Ana A Baumann; Leopoldo J Cabassa
Journal:  BMC Health Serv Res       Date:  2020-03-12       Impact factor: 2.655

7.  Social media recruitment for mental health research: A systematic review.

Authors:  Catherine Sanchez; Adrienne Grzenda; Andrea Varias; Alik S Widge; Linda L Carpenter; William M McDonald; Charles B Nemeroff; Ned H Kalin; Glenn Martin; Mauricio Tohen; Maria Filippou-Frye; Drew Ramsey; Eleni Linos; Christina Mangurian; Carolyn I Rodriguez
Journal:  Compr Psychiatry       Date:  2020-08-12       Impact factor: 3.735

8.  Monitoring Twitter Conversations for Targeted Recruitment in Cancer Trials in Los Angeles County: Protocol for a Mixed-Methods Pilot Study.

Authors:  Katja Reuter; Praveen Angyan; NamQuyen Le; Alicia MacLennan; Sarah Cole; Ricky N Bluthenthal; Christianne J Lane; Anthony B El-Khoueiry; Thomas A Buchanan
Journal:  JMIR Res Protoc       Date:  2018-09-25

Review 9.  The Role of Social Media in Enhancing Clinical Trial Recruitment: Scoping Review.

Authors:  Ida Darmawan; Caitlin Bakker; Tabetha A Brockman; Christi A Patten; Milton Eder
Journal:  J Med Internet Res       Date:  2020-10-26       Impact factor: 5.428

10.  Teasing out Artificial Intelligence in Medicine: An Ethical Critique of Artificial Intelligence and Machine Learning in Medicine.

Authors:  Mark Henderson Arnold
Journal:  J Bioeth Inq       Date:  2021-01-07       Impact factor: 2.216

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.