Two-Eyed Seeing and developmental origins of health and disease studies with indigenous partners.
Eric N LiberdaAleksandra M ZukRoger DaveyRuby Edwards-WheeskLeonard J S TsujiPublished in: Journal of developmental origins of health and disease (2021)
Globally, mortality of Indigenous persons is greater than that of their non-Indigenous counterparts, which has been shown to be disproportionately attributable to non-communicable diseases. The historically subordinate position that Indigenous Knowledge (IK) held in comparison to Western science has shifted over the last several decades, with the credibility and importance of IK now being internationally recognized. Herein, we examine how Marsahall's (2014) Two-Eyed Seeing can foster collaborative and culturally relevant Developmental Origins of Health and Disease (DOHaD) studies for health and well-being by using '..the best in Indigenous ways of knowing…[and] the best in Western (or mainstream) ways of knowing…and learn to use both these eyes for the benefit of all.' At its core, Two-Eyed Seeing also includes the principles of ownership, control, access and possession, and Community-Based Participatory Research, which further reinforces the critical role of Indigenous peoples taking active roles in DOHaD research. Additionally, we also present a partnership model for working with Indigenous communities that includes the principles of respect, equity and empowerment. As researchers begin to fill the gap in Indigenous health, we outline how Two-Eyed Seeing should form the basis of DOHaD studies involving Indigenous communities. This model can be used to develop and guide projects that result in robust and meaningful participatory partnerships that have impactful uptake of research findings.
Keyphrases
- public health
- healthcare
- mental health
- health information
- type diabetes
- cardiovascular disease
- quality improvement
- health promotion
- south africa
- social media
- cardiovascular events
- coronary artery disease
- hepatitis c virus
- case control
- optical coherence tomography
- human immunodeficiency virus
- human health
- risk assessment
- clinical evaluation