Recruitment, Consent and DNA Sample Acquisition in a U.S. Precision Health Cohort During the COVID-19 Pandemic
Derry, A. M.; Strong, Y.; Schioppo, D.; Cotter, J.; Wilkins, G. M.; Siquieros, L. I.; Ouyang, A.; Hulseman, K.; Petrosino, J.; Liang, L.; Stevenson, M.; Aguilera, T. E.; Soto, A. L.; Meurer, K.; Herman, A. L.; Cohen, I.; Falcone, G. J.; Longbrake, E. E.; Ochoa Chaar, C. I.; Anastasio, K. M.; Murray, M. F.
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AimThe Yale Generations Project (YGP) is a precision health cohort initiative that began enrollment in New Haven Connecticut USA in July 2019. In March 2020, after nine months of operation, pandemic restrictions prompted abrupt changes to staff availability as well as changes to the projects recruitment, consenting, and sample acquisition. This manuscript describes the successful addition of remote recruitment, consenting, and DNA sampling to YGP workflows during the initial 27-months of pandemic restrictions ending June 30, 2022. MethodsThe initial YGP protocol established face-to-face workflow for recruiting, consenting and peripheral blood collection. A telemedicine consent protocol was initiated in April of 2020, and a remote saliva collection was established in October of 2020. De-identified data was extracted from YGP dataset and reported here. ResultsAt the completion of YGPs initial 36 months (9-months pre-pandemic and 27-months pandemic) YGP enrolled N=4949 volunteers. There were N=1,950 (216.7 per month) volunteers consented pre-pandemic and N=2,999 (111.1 per month) during pandemic. The peak consenting month was February 2020 with N=428. DNA sample acquisition peaked in the pre-pandemic month of February 2020 with N=291 peripheral blood draws, and in the pandemic period the peak DNA acquisition month was November 2020 with N=176 (N=68 peripheral blood draws and N=108 saliva samples). ConclusionThe YGP successfully transitioned from pre-pandemic recruiting, consenting and sample acquisition model that was exclusively face-to-face, to pandemic model that was predominantly remote. The added value of remote recruiting, consenting, and sampling has led to plans for an optimized hybrid model post-pandemic.
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