Research In Your Mailbox: Remote Blood Self-sampling Enables Participation of Underserved Populations in Longitudinal Studies.

Importance: Remote sampling technologies are invaluable for protecting both participants and researchers when studying highly infectious diseases. When leveraged for longitudinal studies, remote sampling with transcriptomic readouts is a powerful tool for studying the host immune response. Additionally, remote study flexibility circumvents common barriers to research participation including length of commute, transportation, and scheduling, thereby expanding access to clinical research. Objective: In this work, we investigate the effectiveness of a remote study model for reaching women from underrepresented, underserved, and underreported (U3) populations. We sought to recruit individuals who qualify as underrepresented in clinical research, who are located in rural areas, or who come from disadvantaged backgrounds per the NIH definition. Design: In this longitudinal study, U3 women positive for COVID-19 were enrolled and followed over the course of 6 months. In the first month of the infection, participants ( Setting: This was a fully remote study with all sampling supplies and instructions shipped to the participants. Participants self-collected blood and nasal swabs at home and shipped these back to our lab for further processing. Surveys were administered electronically using REDCap. Participants: For this study, we enrolled women who were 18 or older, met the NIH criteria for U3, and who had tested positive for SARS-CoV-2 within a week of enrollment. Further, we excluded protected populations including individuals who were pregnant and/or incarcerated. Of the 334 individuals who completed the screening process, 65 were invited into the study based on the eligibility criteria and balancing age, race/ethnicity, and state of residence to closely correspond to the demographics of the United States. Of the 65 invited individuals, 40 were fully enrolled in the study and 39 completed all study components. Main Outcomes and Measures: Prior to the study, we proposed that the increased flexibility of a remote study design would allow for participation of populations underrepresented in clinical research. The primary measurements planned for this study consisted of usability data and general experience in a longitudinal study. These data were collected by self report using electronically administered surveys. The Consolidated Framework for Implementation Research (CFIR), a well-established implementation science framework, was used to guide the development of questions about usability and study experience. Results: 40 women were recruited from 19 states, with diverse racial backgrounds (62% White, 15% Black or African American, 10% Asian, 5% American Indian or Alaska Native, 5% Other, 3% More than one race), a mostly even age distribution (26% ages 20 - 29, 15% ages 30 - 39, 31% ages 40 - 49, 28% ages 50+), and most of whom (80%) are categorized as having a disadvantaged background per the NIH. Survey responses show high satisfaction with the study, where all participants who completed the study (100%, Conclusions and Relevance: The high retention (98%,