Power and respect in global health research collaboration: Perspectives from research partners in the United States and the Dominican Republic.

  • Published In: Developing World Bioethics, 2023, v. 23, n. 4. P. 367 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Green, Corrinne; Scharf, Jodi; Jiménez‐Bautista, Ana; Halpern, Mina 3 of 3

Abstract

Research partnerships between institutions in the Global North and institutions in the Global South have many potential benefits, including sharing of knowledge and resources. However, such partnerships are traditionally exploitative to varying degrees. In order to promote equity in South‐North research partnerships, it is necessary to learn from the experiences of researchers collaborating internationally. This study analyzed transcripts from eleven semi‐structured qualitative interviews with researchers working at Clínica de Familia La Romana, an institution in the Dominican Republic with decades of experience with research and research partnerships with institutions from the Global North. The findings of this study suggest that respect for resources invested in research, as well as for the researchers and institutions themselves, are vital components to a successful global health research partnership. These findings have implications for individual research partnerships, as well as the policies of journals and institutions providing funding that affect these partnerships. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Developing World Bioethics. 2023/12, Vol. 23, Issue 4, p367
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2023
  • ISSN:1471-8731
  • DOI:10.1111/dewb.12384
  • Accession Number:174203582
  • Copyright Statement:Copyright of Developing World Bioethics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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