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Inclusiveness and ethical considerations for observational, translational, and clinical cancer health disparity research
Author(s) -
Behring Michael,
Hale Kevin,
Ozaydin Bunyamin,
Grizzle William E.,
Sodeke Stephen O.,
Manne Upender
Publication year - 2019
Publication title -
cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.052
H-Index - 304
eISSN - 1097-0142
pISSN - 0008-543X
DOI - 10.1002/cncr.32495
Subject(s) - observational study , ethnic group , medicine , clinical study design , outreach , health equity , research design , clinical trial , inclusion (mineral) , family medicine , gerontology , psychology , public health , nursing , pathology , social psychology , political science , social science , sociology , law
Background Although general trends in cancer outcomes are improving, racial/ethnic disparities in patient outcomes continue to widen, suggesting disparity‐related shortcomings in cancer research designs. Methods Using convenience sampling, a total of 24 data sources, representing several research designs and 5 high‐burden tumor types, were included for analyses. The percentages of races/ethnicities across each design/tumor type were compared with those of the 2017 US Census data. The authors used a framework based on the Belmont principles to evaluate the ethical strengths and/or weaknesses of each design. Results In all designs, white individuals were found to be overrepresented. African American and Asian individuals were underrepresented, and Native Americans had consistently poor or no representation. In general, ethical concerns varied according to the study design. Clinical trials were high with regard to respect for persons and beneficence but low for equitable subject selection related to the inclusion of race/ethnicity. Observational study designs were more inclusive for race/ethnicity compared with clinical and translational studies, but their clinical usefulness was less. Conclusions The authors proposed that ethical concerns should vary according to the study design. Because observational designs have strengths in inclusiveness for race/ethnicity, their clinical usefulness can be improved by extending the Learning Health System in hospital catchment populations, the use of health records linked to biospecimens, and minority oversampling. Likewise, minority enrollment into clinical trials can be improved through Learning Health System linking and by using National Cancer Institute–mandated Community Outreach and Engagement Cores. This will allow precision medicine for otherwise overlooked minority subgroups.