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176 Translational Challenges and Facilitators of Health Equity Research Integrating Social Determinants of Health with Patient- and Community-Centered Technology

Published online by Cambridge University Press:  03 April 2024

Boris Volkov
Affiliation:
University of Minnesota Clinical and Translational Science Institute Institute for Health Informatics, and Division of Epidemiology and Community Health
Chris Pulley
Affiliation:
University of Minnesota Clinical and Translational Science Institute
David Haynes
Affiliation:
University of Minnesota Institute for Health Informatics and Masonic Cancer Center
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Abstract

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OBJECTIVES/GOALS: - Illustrate findings of a translational science case study of multi-pronged research aimed at understanding of social determinants in health disparities and integrating patient-centered technology; - Illuminate translational mechanisms by analyzing and sharing research challenges, facilitators, and benefits. METHODS/STUDY POPULATION: Utilized novel TS evaluation methods and tools: - Translational Science Case Study protocol to examine translational path from innovation to practice, barriers and facilitators for that translational movement. - Translational Science Benefits Model (TSBM) Checklist for translational/research impact analysis. Triangulated diverse data sources: - Primary data: semi-structured interviews with research partners. - Secondary data: researchers’ grant applications, reports, and publications; public stories/news related to their research; scientific publications; organizational/policy documents; and interviews with research stakeholders featured in published sources. RESULTS/ANTICIPATED RESULTS: Translational challenges include: culturally tailored education and outreach; data analysis and intervention planning; engaging community stakeholders in the development and implementation; addressing economic and resource-related challenges. Translational facilitators are: UMN CTSA funding and other support; access to data and resources; use of open-source materials; evidence-based/best practice approaches; diversity and collaboration between researchers, community organizations, healthcare providers; researchers’ drive to translate. The research contributes to community and public health, clinical/medical, and economic benefits, health equity advocacy, catalyzing further research, and public awareness. DISCUSSION/SIGNIFICANCE: The evaluation case study contributes to translational science by providing evidence and lessons learned related to translational benefits, challenges, and facilitators of community-based, patient-centered research bringing people, knowledge, and technology together and contributing to health equity.

Type
Evaluation
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2024. The Association for Clinical and Translational Science