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ChicagO Multiethnic Prevention and Surveillance Study (COMPASS): Increased Response Rates Among African American Residents in Low Socioeconomic Status Neighborhoods

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Journal of Racial and Ethnic Health Disparities Aims and scope Submit manuscript

Abstract

African American (AA) populations experience persistent health disparities in the USA. Low representation in bio-specimen research precludes stratified analyses and creates challenges in studying health outcomes among AA populations. Previous studies examining determinants of bio-specimen research participation among minority participants have focused on individual-level barriers and facilitators. Neighborhood-level contextual factors may also inform bio-specimen research participation, possibly through social norms and the influence of social views and behaviors on neighbor’s perspectives. We conducted an epidemiological study of residents in 5108 Chicago addresses to examine determinants of bio-specimen research participation among predominantly AA participants solicited for participation in the first 6 years of ChicagO Multiethnic Prevention and Surveillance Study (COMPASS). We used a door-to-door recruitment strategy by interviewers of predominantly minority race and ethnicity. Participants were compensated with a $50 gift card. We achieved response rates of 30.4% for non-AA addresses and 58.0% for AA addresses, with as high as 80.3% response among AA addresses in low socioeconomic status (SES) neighborhoods. After multivariable adjustment, we found approximately 3 times the odds of study participation among predominantly AA addresses in low vs. average SES neighborhoods (odds ratio (OR) = 3.06; 95% confidence interval (CI) = 2.20–4.24). Conversely, for non-AA addresses, we observed no difference in the odds of study participation in low vs. average SES neighborhoods (OR = 0.89; 95% CI = 0.69–1.14) after multivariable adjustment. Our findings suggest that AA participants in low SES neighborhoods may be recruited for bio-specimen research through door-to-door approaches with compensation. Future studies may elucidate best practices to improve bio-specimen research participation among minority populations.

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Data availability

The data that support the findings of this study may be available on request from the senior author, HA. The data are not publicly available due to their containing information that could compromise the privacy of research participants.

References

  1. Rastogl S, Johnson T, Hoeffel E, Drewery M. The Black Population: 2010. In: 2010 Census Briefs. US Department of Commerce: Economics and Statistics Administration; 2011.

  2. Campbell MC, Tishkoff SA. African genetic diversity: implications for human demographic history, modern human origins, and complex disease mapping. Annu Rev Genom Hum Genet. 2008;9:403–33.

    Article  CAS  Google Scholar 

  3. O’Keefe EB, Meltzer JP, Bethea TN. Health disparities and cancer: racial disparities in cancer mortality in the United States, 2000–2010. Frontiers Public Health 2015, 3(51).

  4. DeSantis CE, Siegel RL, Sauer AG, Miller KD, Fedewa SA, Alcaraz KI, et. al. Cancer statistics for African Americans, 2016: progress and opportunities in reducing racial disparities. CA Cancer J Clin 2016.

  5. Daly B, Olopade OI. A perfect storm: how tumor biology, genomics, and health care delivery patterns collide to create a racial survival disparity in breast cancer and proposed interventions for change. CA Cancer J Clin. 2015;65(3):221–38.

    Article  Google Scholar 

  6. Hirschman J, Whitman S, Ansell D. The black:white disparity in breast cancer mortality: the example of Chicago. Cancer Cause Control. 2007;18(3):323–33.

    Article  Google Scholar 

  7. Cunningham TJ, Croft JB, Liu Y, Lu H, Eke PI, Giles WH. Vital signs: racial disparities in age-specific mortality among blacks or African Americans—United States, 1999-2015. MMWR Morb Mortal Wkly. 2017;66(17):444–56.

    Article  Google Scholar 

  8. Morris AM, Rhoads KF, Stain SC, Birkmeyer JD. Understanding racial disparities in cancer treatment and outcomes. J Am Coll Surg. 2010;211(1):105–13.

    Article  Google Scholar 

  9. Firebaugh G, Acciai F. For blacks in America, the gap in neighborhood poverty has declined faster than segregation. Proc Nat Academy Sci. 2016;113(47):13372–7.

    Article  CAS  Google Scholar 

  10. Jackson JS, Knight KM, Rafferty JA. Race and unhealthy behaviors: chronic stress, the HPA axis, and physical and mental health disparities over the life course. Am J Public Health. 2010;100(5):933–9.

    Article  Google Scholar 

  11. Amendment: NIH policy and guidelines on the inclusion of women and minorities as subjects in clinical research. Notice Number: NOT-OD-18-014. https://grants.nih.gov/grants/guide/notice-files/NOT-OD-18-014.html

  12. Duma N, Aguilera JV, Paludo J, et al. Representation of minorities and women in oncology clinical trials: review of the past 14 years. J Oncol Pract. 2018;14(1):e1–e10.

    Article  Google Scholar 

  13. Halbert CH, McDonald J, Vadaparampil S, Rice L, Jefferson M. Conducting precision medicine research with African Americans. PLoS One. 2016;11(7):e0154850.

    Article  Google Scholar 

  14. Haga SB. Impact of limited population diversity of genome-wide association studies. Genet Med. 2009;12:81.

    Article  Google Scholar 

  15. Erwin DO, Moysich K, Kiviniemi MT, Saad-Harfouche FG, Davis W, Clark-Hargrave N, et al. Community-based partnership to identify keys to biospecimen research participation. J Cancer Educ. 2013;28(1):43–51.

    Article  Google Scholar 

  16. McDonald JA, Barg FK, Weathers B, et al. Understanding participation by African Americans in cancer genetics research. J Nat Medical Assoc. 2012;104:324–30.

    Google Scholar 

  17. Luque JS, Quinn GP, Montel-Ishino FA, et al. Formative research on perceptions of biobanking: what community members think. J Cancer Educ. 2012;27(1):91–9.

    Article  Google Scholar 

  18. Dang JHT, Rodriguez EM, Luque JS, Erwin DO, Meade CD, Chen MS. Engaging diverse populations about biospecimen donation for cancer research. J Community Genet. 2014;5(4):313–27.

    Article  Google Scholar 

  19. McDonald JA, Vadaparampil S, Bowen D, et al. Intentions to donate to a biobank in a national sample of African Americans. Public Health Genomics. 2014;17(3):173–82.

    Article  Google Scholar 

  20. Galea S, Tracy M. Participation rates in epidemiologic studies. Ann Epidemiol. 2007;17(9):643–53.

    Article  Google Scholar 

  21. Corbie-Smith G, Thomas S, Williams M, Moody-Ayers S. Attitudes and beliefs of African Americans toward participation in medical research. J Gen Intern Med. 1999;14:537–46.

    Article  CAS  Google Scholar 

  22. Dash C, Wallington SF, Muthra S, Dodson E, Mandelblatt J, Adams-Campbell LL. Disparities in knowledge and willingness to donate research biospecimens: a mixed-methods study in an underserved urban community. J Community Genetics. 2014;5(4):329–36.

    Article  Google Scholar 

  23. Goldman RE, Kingdon C, Wasser J, Clark MA, Goldberg R, Papandonatos GD, et al. Rhode islanders’ attitudes towards the development of a statewide genetic biobank. Personalized Med. 2008;5(4):339–59.

    Article  Google Scholar 

  24. Lemke AA, Halverson C, Ross LF. Biobank participation and returning research results: perspectives from a deliberative engagement in south side Chicago. Am J Medical Genetics. 2012;158A(5):1029–37.

    Article  Google Scholar 

  25. Asare M, Heckler CE, Culakova E, et al. Racial/ethnic differences in comprehension of biospecimen collection: a nationwide university of Rochester Cancer Center NCI community oncology research program study. J Cancer Educ. 2019. https://doi.org/10.1007/s13187-018-1664-z.

  26. Moorman P, Newman B, Millikan R, Tse C-K, Sandler D. Participation rates in a case-control study: the impact of age, race, and race of interviewer. Ann Epidemiol. 1999;9(3):188–95.

    Article  CAS  Google Scholar 

  27. National Academies of Sciences and Medicine. Improving health research on small populations: proceedings of a workshop. Washington, DC: The National Academies Press; 2018.

  28. Oostveen T, Knibbe R, De Vries H. Social influences on young adults' alcohol consumption: norms, modeling, pressure, socializing, and conformity. Addict Behav. 1996;21(2):187–97.

    Article  CAS  Google Scholar 

  29. Dulin A, Risica PM, Mello J, Ahmed R, Carey KB, Cardel M, et al. Examining neighborhood and interpersonal norms and social support on fruit and vegetable intake in low-income communities. BMC Public Health. 2018;18(1):455.

    Article  Google Scholar 

  30. Davey-Rothwell MA, Siconolfi DE, Tobin KE, Latkin CA. The role of neighborhoods in shaping perceived norms: an exploration of neighborhood disorder and norms among injection drug users in Baltimore, MD. Health Place. 2015;33:181–6.

    Article  Google Scholar 

  31. Bloss C, Stoler J, Schaierer C, et al. Characteristics of likely precision medicine initiative participants drawn from a large blood donor population. Health Aff. 2018;37(5):786–92.

    Article  Google Scholar 

  32. Reyes C and O’Connell PM. Chicago slips in population but is still third-largest city in U.S.—for now. Chicago Tribune, May 23, 2019.

  33. Aschebrook-Kilfoy B, Kibriya MG, Jasmine F, et al. Cohort profile: the ChicagO Multiethnic Prevention and Surveillance Study (COMPASS). Under review 2020.

  34. U.S. Department of Health and Human Services - National Cancer Institute. Cancer Incidence—Surveillance, Epidemiology, and End Results (SEER) Registries Research Data. Bethesda, MD: National Cancer Institute [cited November 2015]. Available from: http://seer.cancer.gov/data/metadata.html.

  35. Valassis. Valassis Communications, Inc.; http://valassis.com/about-us/. Accessed January 2019.

  36. Miles JN, Weden MM, Lavery D, Escarce JJ, Cagney KA, Shih RA. Constructing a time-invariant measure of the socio-economic status of U.S. census tracts. J. Urban Health. 2016;93(1):213–32.

    Article  Google Scholar 

  37. Getis A, Ord JK. The analysis of spatial association by use of distance statistics. Geog Anal. 1992;24(3):189–206.

    Article  Google Scholar 

  38. Anselin L. "GeoDa Software 1.12," 2018. [Online]. Available: https://geodacenter.github.io/. Accessed January 2019.

  39. Skloot R. The immortal life of Henrietta Lacks. New York: Crown Publishers; 2010.

    Google Scholar 

  40. Owolabi T, Aschebrook-Kilfoy B. Determinants of African-American participation in a multiethnic biobanking cohort in Chicago. In: Short-term research experience for underrepresented persons (STEP-UP) Symposium: July 2017.

  41. Schnell C, Braga AA, Piza EL. The influence of community areas, neighborhood clusters, and street segments on the spatial variability of violent crime in Chicago. J Quantitative Criminol. 2017;33(3):469–96.

    Article  Google Scholar 

  42. Qato D, Daviglus M, Wilder J, Lee T, Qato D, Lambert B. ‘Pharmacy deserts’ are prevalent in Chicago’s predominantly minority communities, raising medication access concerns. Health Aff. 2014;33(11):1958–65.

    Article  Google Scholar 

  43. Polite BN, Adams-Campbell LL, Brawley OW, Bickell N, Carethers JM, Flowers CR, et al. Charting the future of cancer health disparities research: a position statement from the American Association for Cancer Research, the American Cancer Society, the American Society of Clinical Oncology, and the National Cancer Institute. J Clin Oncol. 2017;35(26):3075–82.

    Article  Google Scholar 

Download references

Acknowledgments

We thank Tomide Owolabi and Siam Rezwan for literature review support and Michele Thompson for administrative support.

Funding

This work was supported by the National Cancer Institute [grant numbers 5P30CA014599-44 and T32CA193193], the National Institute of Environmental Health Sciences [grant number P30ES027792-03], the National Institute on Aging [grant number T32AG000243], the Susan G. Komen Foundation [grant number GTDR16376189], and the University of Chicago Department of Public Health Sciences.

Author information

Authors and Affiliations

  1. Department of Public Health Sciences, The University of Chicago Biological Sciences, 5841 S. Maryland Ave., MC2000, Chicago, IL, 60637, USA

    David J. Press, Briseis Aschebrook-Kilfoy, Diane Lauderdale, Elizabeth Stepniak, Donald Hedeker & Habibul Ahsan

  2. Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA

    David J. Press

  3. The Center for Health Information Partnerships (CHiP), Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA

    David J. Press

  4. Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA

    Briseis Aschebrook-Kilfoy & Habibul Ahsan

  5. Department of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, San Francisco, CA, USA

    Scarlett Lin Gomez

  6. Texas Department of State Health Services, Austin, TX, USA

    Emily Peterson Johnson

  7. Comprehensive Cancer Center, University of Chicago, Chicago, IL, USA

    Rajan Gopalakrishnan & Habibul Ahsan

  8. Department of Economics, Wayne State University, Detroit, MI, USA

    Fabrice Smieliauskas

  9. Department of Pharmacy Practice, Wayne State University, Detroit, MI, USA

    Fabrice Smieliauskas

  10. Mansueto Institute for Urban Innovation, University of Chicago, Chicago, IL, USA

    Luís Bettencourt

  11. Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA

    Luís Bettencourt

  12. Department of Sociology, University of Chicago, Chicago, IL, USA

    Luís Bettencourt

  13. Santa Fe Institute, Santa Fe, NM, USA

    Luís Bettencourt

  14. Center for Spatial Data Science, University of Chicago, Chicago, IL, USA

    Luc Anselin

  15. Department of Human Genetics, University of Chicago, Chicago, IL, USA

    Habibul Ahsan

  16. Department of Medicine, University of Chicago, Chicago, IL, USA

    Habibul Ahsan

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  1. David J. Press
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Correspondence to David J. Press.

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Conflict of Interest

The authors declare that they have no conflict of interest.

Code Availability

The code that supports the findings of this study may be available on request from the corresponding author, DJP.

Ethics Approval

The study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments. This study was approved by the Institutional Review Board (IRB) of the University of Chicago Biological Sciences Division (http://bsdirb.bsd.uchicago.edu).

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Informed consent was obtained from all individual participants included in the study.

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Press, D.J., Aschebrook-Kilfoy, B., Lauderdale, D. et al. ChicagO Multiethnic Prevention and Surveillance Study (COMPASS): Increased Response Rates Among African American Residents in Low Socioeconomic Status Neighborhoods. J. Racial and Ethnic Health Disparities 8, 186–198 (2021). https://doi.org/10.1007/s40615-020-00770-2

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  • DOI: https://doi.org/10.1007/s40615-020-00770-2

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