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Improving participant representation in the era of digital clinical studies.
Ramos, Edward; Baca-Motes, Katie; Pandit, Jay A; Ajayi, Toluwalase A.
Afiliação
  • Ramos E; Scripps Research Translational Institute, 3344 N Torrey Pines Ct Plaza Level, La Jolla, CA 92037, USA; CareEvolution, 625 N Main St, Ann Arbor, MI 48104, USA. Electronic address: eramos@scripps.edu.
  • Baca-Motes K; Scripps Research Translational Institute, 3344 N Torrey Pines Ct Plaza Level, La Jolla, CA 92037, USA.
  • Pandit JA; Scripps Research Translational Institute, 3344 N Torrey Pines Ct Plaza Level, La Jolla, CA 92037, USA.
  • Ajayi TA; Scripps Research Translational Institute, 3344 N Torrey Pines Ct Plaza Level, La Jolla, CA 92037, USA.
Trends Mol Med ; 28(12): 1019-1021, 2022 12.
Article em En | MEDLINE | ID: mdl-35995691
ABSTRACT
Traditional clinical research relies on conventional strategies to invite and enroll research participants. However, these strategies often fail to reach potential participants from marginalized communities or that reflect the diversity of the nation, such as race, ethnicity, or geography. As we discuss here, the digital clinical study model sets the stage for improved and equitable participation in biomedical research.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Etnicidade / Pesquisa Biomédica Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Etnicidade / Pesquisa Biomédica Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article