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Integrating special and underserved populations in translational research: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award (CTSA) program hubs.
Hoyo, Verónica; Shah, Raj C; Dave, Gaurav; Volkov, Boris B.
Affiliation
  • Hoyo V; Northwestern University Clinical and Translational Sciences Institute (NUCATS), Northwestern University, Chicago, IL, USA.
  • Shah RC; Clinical and Translational Research Institute, University of California, San Diego, La Jolla, CA, USA.
  • Dave G; Institute for Translational Medicine, The University of Chicago, Rush University Medical Center, Chicago, IL, USA.
  • Volkov BB; Department of Family Medicine, Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.
J Clin Transl Sci ; 6(1): e89, 2022.
Article de En | MEDLINE | ID: mdl-35989859
ABSTRACT
The COVID-19 pandemic has exacerbated health disparities and rendered them acutely more visible. Special and underrepresented populations need to be fully integrated into the translational research process from the very beginning and all the way through. This article presents findings and rapid analysis mini-case studies from the Environmental Scan (E-Scan) of adaptive capacity and preparedness of Clinical and Translational Science Award hubs, specific to the goal of integrating special and vulnerable populations in different institutional research settings. In our discussion of the findings and case studies, we flexibly apply local adaptive capacity framework concepts and characteristics, and, whenever possible, we present ideas on how to enhance capacity in those areas, based on the challenges and practices identified through the E-Scan. Although the past year has recorded incredible achievements in vaccine development, clinical trials, diagnostics, and overall biomedical research, these successes continue to be hampered by our inability to turn them into achievements equally available and accessible to all populations.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Aspects: Equity_inequality Langue: En Journal: J Clin Transl Sci Année: 2022 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Aspects: Equity_inequality Langue: En Journal: J Clin Transl Sci Année: 2022 Type de document: Article Pays d'affiliation: États-Unis d'Amérique
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