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Informatics-enabled citizen science to advance health equity.
Valdez, Rupa S; Detmer, Don E; Bourne, Philip; Kim, Katherine K; Austin, Robin; McCollister, Anna; Rogers, Courtney C; Waters-Wicks, Karen C.
Afiliación
  • Valdez RS; Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA.
  • Detmer DE; Department of Engineering Systems and Environment, University of Virginia, Charlottesville, Virginia, USA.
  • Bourne P; Advisory Board, Residents for Respectful Research, Public Housing Association of Residents, Charlottesville, Virginia, USA.
  • Kim KK; Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA.
  • Austin R; School of Data Science and Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
  • McCollister A; Betty Irene Moore School of Nursing, University of California-Davis, Sacramento, California, USA.
  • Rogers CC; School of Nursing, University of Minnesota, Minneapolis, Minnesota, USA.
  • Waters-Wicks KC; Four Lights Consulting LLC, Washington, District of Columbia, USA.
J Am Med Inform Assoc ; 28(9): 2009-2012, 2021 08 13.
Article en En | MEDLINE | ID: mdl-34151980
ABSTRACT
The COVID-19 pandemic has once again highlighted the ubiquity and persistence of health inequities along with our inability to respond to them in a timely and effective manner. There is an opportunity to address the limitations of our current approaches through new models of informatics-enabled research and clinical practice that shift the norm from small- to large-scale patient engagement. We propose augmenting our approach to address health inequities through informatics-enabled citizen science, challenging the types of questions being asked, prioritized, and acted upon. We envision this democratization of informatics that builds upon the inclusive tradition of community-based participatory research (CBPR) as a logical and transformative step toward improving individual, community, and population health in a way that deeply reflects the needs of historically marginalized populations.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Equidad en Salud / Informática / Investigación Participativa Basada en la Comunidad / Ciencia Ciudadana Tipo de estudio: Prognostic_studies Aspecto: Equity_inequality Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Equidad en Salud / Informática / Investigación Participativa Basada en la Comunidad / Ciencia Ciudadana Tipo de estudio: Prognostic_studies Aspecto: Equity_inequality Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos