Bibliographic Details
| Title: |
Ethical guidelines and best practices for health research with Indigenous peoples and ethnic groups in Colombia: insights from experience. |
| Authors: |
Chaparro, Olga Lucia (AUTHOR), Garzón, Lina (AUTHOR), Ciuoderis, Karl (AUTHOR), Vargas, Alberto (AUTHOR), Kendall, Nancy (AUTHOR), Nieto, Juana Valentina (AUTHOR), Cifuentes, Andrés (AUTHOR), Hernandez, Juan Pablo (AUTHOR), Osorio, Jorge E. (AUTHOR) |
| Source: |
Ethics & Behavior. Apr2026, Vol. 36 Issue 3, p183-198. 16p. |
| Subjects: |
Medical protocols, Medical care of indigenous peoples, Interprofessional relations, Research funding, Medical personnel, Autonomy (Psychology), Social justice, Indigenous peoples, Pregnant women, Ecosystems, Descriptive statistics, Systematic reviews, MEDLINE, Communication, Online information services, Community services, Research ethics, Psychosocial factors |
| Geographic Terms: |
Colombia |
| Abstract: |
Indigenous populations advocate for collaborative research principles that they help define. Ethical engagement with these communities improves health outcomes while creating beneficial partnerships between researchers and Indigenous peoples. This article outlines key principles for ethical health research with Indigenous Peoples and Ethnic Groups in Colombia, emphasizing bilateral communication, respect for cultural values and traditional knowledge, responsible biodiversity use, community participation, and autonomy. These principles provide a framework for conducting respectful, beneficial, culturally relevant, and ethical research. Based on experience and consultation, the article offers good practices to guide researchers and train health professionals, promoting equitable research relationships with Indigenous communities. [ABSTRACT FROM AUTHOR] |
|
Copyright of Ethics & Behavior is the property of Taylor & Francis Ltd 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.) |
| Database: |
Psychology and Behavioral Sciences Collection |
