Developing a stakeholder-informed social responsibility model for translational science

Innovation in biomedical research has increased markedly over the last few decades. However, clinical, therapeutic, and public health advances have often not yielded expected improvements in health outcomes nor reduced disparities. Translational science was developed to improve social benefits related to research and development. We propose a practical model for socially responsible translational science that aims to better align research with its expected social benefits. Scientists and community members from the Houston-Galveston region participated in 12 focus groups and a one-day Deliberative Dialogue Summit to examine the expected social benefits of science, establish the factors and practices of social responsibility, and design an empirical model for socially responsible translational science. Researchers and community members discussed three distinct fields of research - HIV, maternal health, and mental health and substance use disorders. We conducted deductive qualitative data analysis based on theoretical social responsibility criteria of translational science, namely: relevance, usability, and sustainability. We then developed inductive codes to capture the factors and practices identified during discussions as necessary for the translation of research to increase social benefit. First, participants explored ways to broaden the scope of biomedical research beyond a narrow emphasis on scientific impact to also consider social impacts and determinants of health; this heightens the relevance of research and underscores its responsibility to address social needs and reduce inequities. Second, to improve usability of translational research, participants suggested increasing access to research products, processes, and participation. They also recommended modifying the research infrastructure to incorporate other systems that can assist with translation including the system of care and the broader community-based systems. Third and finally, for the long-term sustainability of research practices, co-development and co-funding of research was promoted to include local community needs, cultures, knowledges and preferences from project commencement to completion.

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Publication Details

Journal
PLoS ONE
Published
2025-06-09
DOI
https://doi.org/10.1371/journal.pone.0320956
Primary Topic
Health Policy Implementation Science
Type
article
Field-Weighted Citation Impact
0.00

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article

Developing a stakeholder-informed social responsibility model for translational science

Emma Tumilty, Krista Bohn, Georgia Loutrianakis, Kathryn A. Cunningham et al.
PLoS ONE
Health Policy Implementation Science
article

Developing a stakeholder-informed social responsibility model for translational science

Emma Tumilty, Krista Bohn, Georgia Loutrianakis, Kathryn A. Cunningham, Kimberly Pounds, M. K. Miller, Jeffrey S. Farroni, Victoria McNamara, Stephen Molldrem, Sondip Mathur, Grace A. Loudd, Dominique Guinn, Kimberly E. Beatty, Vishnu Subrahmanyam, Elise Smith, Sharon Croisant, Jometra Hawkins-Sneed, Micheal Gienger
article en

Abstract

Innovation in biomedical research has increased markedly over the last few decades. However, clinical, therapeutic, and public health advances have often not yielded expected improvements in health outcomes nor reduced disparities. Translational science was developed to improve social benefits related to research and development. We propose a practical model for socially responsible translational science that aims to better align research with its expected social benefits. Scientists and community members from the Houston-Galveston region participated in 12 focus groups and a one-day Deliberative Dialogue Summit to examine the expected social benefits of science, establish the factors and practices of social responsibility, and design an empirical model for socially responsible translational science. Researchers and community members discussed three distinct fields of research - HIV, maternal health, and mental health and substance use disorders. We conducted deductive qualitative data analysis based on theoretical social responsibility criteria of translational science, namely: relevance, usability, and sustainability. We then developed inductive codes to capture the factors and practices identified during discussions as necessary for the translation of research to increase social benefit. First, participants explored ways to broaden the scope of biomedical research beyond a narrow emphasis on scientific impact to also consider social impacts and determinants of health; this heightens the relevance of research and underscores its responsibility to address social needs and reduce inequities. Second, to improve usability of translational research, participants suggested increasing access to research products, processes, and participation. They also recommended modifying the research infrastructure to incorporate other systems that can assist with translation including the system of care and the broader community-based systems. Third and finally, for the long-term sustainability of research practices, co-development and co-funding of research was promoted to include local community needs, cultures, knowledges and preferences from project commencement to completion.

PLoS ONEVol. 20(6)
Houston Galveston Institute (US), Galveston College (US), Council on Alcoholism and Drug Abuse (US), Positive Action (US), Center for Health and Gender Equity (US), Texas Southern University (US), The University of Texas Medical Branch at Galveston (US)
National Center for Advancing Translational Sciences
Openalex Percentile: Top 78%
Health Policy Implementation Science
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