Comparison of a Blood Self-Collection System with Routine Phlebotomy for SARS-CoV-2 Antibody Testing.

Abstract

The Coronavirus Disease 2019 (COVID-19) pandemic forced researchers to reconsider in-person assessments due to transmission risk. We conducted a pilot study to evaluate the feasibility of using the Tasso-SST (Tasso, Inc, Seattle, Washington) device for blood self-collection for use in SARS-CoV-2 antibody testing in an ongoing COVID-19 prevalence and immunity research study. 100 participants were recruited between January and March 2021 from a previously identified sub-cohort of the Cabarrus County COVID-19 Prevalence and Immunity (C3PI) Study who were under-going bimonthly COVID-19 antibody testing. Participants were given a Tasso-SST kit and asked to self-collect blood during a scheduled visit where trained laboratory personnel performed routine phlebotomy. All participants completed an after-visit survey about their experience. Overall, 70.0% of participants were able to collect an adequate sample for testing using the device. Among those with an adequate sample, there was a high concordance in results between the Tasso-SST and phlebotomy blood collection methods (Cohen’s kappa coefficient = 0.88, Interclass correlation coefficient 0.98 [0.97, 0.99], p < 0.0001). The device received a high-level (90.0%) of acceptance among all participants. Overall, the Tasso-SST could prove to be a valuable tool for seroprevalence testing. However, future studies in larger, diverse populations over longer periods may provide a better understanding of device usability and acceptance among older participants and those with comorbidities in various use scenarios.

Department

Description

Provenance

Subjects

COVID-19, SARS-CoV-2, Tasso-SST, antibody testing, capillary blood, coronavirus, infectious disease, self-collection, user acceptance

Citation

Published Version (Please cite this version)

10.3390/diagnostics12081857

Publication Info

Wixted, Douglas, Coralei E Neighbors, Carl F Pieper, Angie Wu, Carla Kingsbury, Heidi Register, Elizabeth Petzold, L Kristin Newby, et al. (2022). Comparison of a Blood Self-Collection System with Routine Phlebotomy for SARS-CoV-2 Antibody Testing. Diagnostics (Basel, Switzerland), 12(8). p. 1857. 10.3390/diagnostics12081857 Retrieved from https://hdl.handle.net/10161/29285.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Scholars@Duke

Wixted

Douglas Wixted

Dir, Clinical Res Educ Training and Ops
Neighbors

Coralei Neighbors

Student

Coralei Neighbors, MS, is a third-year Ph.D. candidate in Population Health Sciences at the Duke University School of Medicine. Her research integrates infectious disease surveillance, economic evaluation, and policy analysis to inform evidence-based and equitable vaccine strategies. Her work sits at the intersection of infectious disease epidemiology, health economics, and global health policy, applying decision-analytic modeling and surveillance data to support population-level decision-making and resource allocation.

Coralei holds a Bachelor of Science in Health Science Studies from Baylor University and a Master of Science in Global Health from Duke University. She is currently pursuing graduate certificates in East Asian Studies, International Development Policy, and College Teaching, enhancing the global relevance and instructional impact of her work.

Her research contributes to advancing approaches that translate economic and epidemiologic evidence into actionable policy insights. She aims to support policymakers in developing effective, sustainable, and equity-driven immunization strategies. Long term, she aspires to contribute to global health systems strengthening through economic evaluation, decision-analytic modeling, and policy engagement.

Pieper

Carl F. Pieper

Professor of Biostatistics & Bioinformatics

Analytic Interests.

1) Issues in the Design of Medical Experiments: I explore the use of reliability/generalizability models in experimental design. In addition to incorporation of reliability, I study powering longitudinal trials with multiple outcomes and substantial missing data using Mixed models.

2) Issues in the Analysis of Repeated Measures Designs & Longitudinal Data: Use of Hierarchical Linear Models (HLM) or Mixed Models in modeling trajectories of multiple variables over time (e.g., physical and cognitive functioning and Blood Pressure). My current work involves methodologies in simultaneous estimation of trajectories for multiple variables within and between domains, modeling co-occuring change.

Areas of Substantive interest: (1) Experimental design and analysis in gerontology and geriatrics, and psychiatry,
(2) Multivariate repeated measures designs,

Newby

Laura Kristin Newby

Professor of Medicine

Research Description

General Focus: Clinical investigation the process and treatment of acute and chronic coronary artery disease and systems issues for delivery of care to patients with these illnesses. Particular interests include management of patients with chest pain and unstable angina, evaluation of the use of biochemical markers other than CK-MB for diagnosis and risk stratification in these patients, issues related to coronary artery disease in women, and systems issues regarding optimizing the process of delivery of care to patients with acute and chronic coronary artery disease. Finally, I have a strong interest in defining the genetic contribution to development of coronary artery disease.


Key words: coronary artery disease acute myocardial infarction unstable angina chest pain women biochemical markers risk stratification genetics

Woods

Christopher Wildrick Woods

Wolfgang Joklik Distinguished Professor of Global Health

1. Emerging Infections
2. Global Health
3. Epidemiology of infectious diseases
4. Clinical microbiology and diagnostics
5. Bioterrorism Preparedness
6. Surveillance for communicable diseases
7. Antimicrobial resistance


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