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Clin Transl Sci ; 13(4): 685-692, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-32004412

RESUMO

Clinical trials and cohort studies are required to meet target recruitment of study participants within stipulated timelines, especially when the priority is to include populations traditionally unrepresented in biomedical research. By the third quarter of 2019, the University of Arizona-Banner Health Provider Organization (UA-Banner HPO) has enrolled > 30,000 core participants into the All of Us Research Program (AoURP), the research cohort of the Precision Medicine Initiative. The majority of enrolled participants meet the criteria for individuals under-represented in biomedical research. The enrollment goals were calculated based on a target of 20,000 as set by the National Institutes of Health and our health provider organization achieved enrollment numbers between 17% and 86% above the targeted daily enrollment. We evaluated enrollment methods and challenges to enrollments encountered by the UA-Banner Health Provider Organization into the AoURP. Challenges to enrollment centered around the need for high-touch engagement methods, time investment necessary for stakeholder inclusion, and the use of purely digital enrollment methods especially in populations under-represented in biomedical research. These challenges occurred at the level of the individual, provider, institutions, and community, and cumulatively impacted participant enrollment. Successful strategies for engagement and enrollment leveraged provider partners as advocates for the program. For high-volume enrollment in clinical research, it is important to engage leaders in the healthcare setting, patient providers, and tailor engagement and enrollment to potential participant needs. We emphasize the need for precision engagement and enrollment methods tailored to individual needs.


Assuntos
Pesquisa Biomédica/organização & administração , Ensaios Clínicos como Assunto/organização & administração , Participação do Paciente/estatística & dados numéricos , Seleção de Pacientes , Medicina de Precisão/métodos , Pesquisa Biomédica/estatística & dados numéricos , Ensaios Clínicos como Assunto/estatística & dados numéricos , Participação da Comunidade , Humanos , Estados Unidos
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