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Novel recruitment approaches and operational results for a statewide population Cohort for cancer research: The Healthy Oregon Project

Authors :
Zhenzhen Zhang
Autumn Shafer
Katie Johnson-Camacho
Andrew Adey
Pavana Anur
Kim A. Brown
Casey Conrad
Rachel Crist
Paige E. Farris
Christina A. Harrington
Lisa K. Marriott
Asia Mitchell
Brian O’Roak
Vanessa Serrato
C. Sue Richards
Paul T. Spellman
Jackilen Shannon
Source :
Journal of Clinical and Translational Science, Vol 8 (2024)
Publication Year :
2024
Publisher :
Cambridge University Press, 2024.

Abstract

Abstract Background: Cancer health research relies on large-scale cohorts to derive generalizable results for different populations. While traditional epidemiological cohorts often use costly random sampling or self-motivated, preselected groups, a shift toward health system-based cohorts has emerged. However, such cohorts depend on participants remaining within a single system. Recent consumer engagement models using smartphone-based communication, driving projects, and social media have begun to upend these paradigms. Methods: We initiated the Healthy Oregon Project (HOP) to support basic and clinical cancer research. HOP study employs a novel, cost-effective remote recruitment approach to effectively establish a large-scale cohort for population-based studies. The recruitment leverages the unique email account, the HOP website, and social media platforms to direct smartphone users to the study app, which facilitates saliva sample collection and survey administration. Monthly newsletters further facilitate engagement and outreach to broader communities. Results: By the end of 2022, the HOP has enrolled approximately 35,000 participants aged 18–100 years (median = 44.2 years), comprising more than 1% of the Oregon adult population. Among those who have app access, ∼87% provided consent to genetic screening. The HOP monthly email newsletters have an average open rate of 38%. Efforts continue to be made to improve survey response rates. Conclusion: This study underscores the efficacy of remote recruitment approaches in establishing large-scale cohorts for population-based cancer studies. The implementation of the study facilitates the collection of extensive survey and biological data into a repository that can be broadly shared and supports collaborative clinical and translational research.

Details

Language :
English
ISSN :
20598661
Volume :
8
Database :
Directory of Open Access Journals
Journal :
Journal of Clinical and Translational Science
Publication Type :
Academic Journal
Accession number :
edsdoj.7734c14a75294e0ab94ec4d8ae85bc94
Document Type :
article
Full Text :
https://doi.org/10.1017/cts.2024.9