4.7 Article

On using ethical principles of community-engaged research in translational science

期刊

TRANSLATIONAL RESEARCH
卷 171, 期 -, 页码 52-62

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.trsl.2015.12.008

关键词

-

资金

  1. Office of Research Integrity
  2. National Institute of Environmental Health Sciences [R21ES022093]

向作者/读者索取更多资源

The transfer of new discoveries into both clinical practice and the wider community calls for reliance on interdisciplinary translational teams that include researchers with different areas of expertise, representatives of health care systems and community organizations, and patients. Engaging new stakeholders in research, however, calls for a reconsideration or expansion of the meaning of ethics in translational research. We explored expert opinion on the applicability of ethical principles commonly practiced in community-engaged research (CEnR) to translational research. To do so, we conducted 2 online, modified-Delphi panels with 63 expert stakeholders who iteratively rated and discussed 9 ethical principles commonly used in CEnR in terms of their importance and feasibility for use in translational research. The RAND/UCLA appropriateness method was used to analyze the data and determine agreement and disagreement among participating experts. Both panels agreed that ethical translational research should be grounded in trust. Although the academic panel endorsed culturally appropriate and forthcoming with community about study risks and benefits, the mixed academic-community panel endorsed scientifically valid and ready to involve community in interpretation and dissemination as important and feasible principles of ethical translational research. These findings suggest that in addition to protecting human subjects, contemporary translational science models need to account for the interests of, and owe ethical obligations to, members of the investigative team and the community at large.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据