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Advancing health research practices among forcibly displaced populations: A multidisciplinary stakeholder workshop
Ameera S Abu-Khalil1,2, Rashmina J Sayeeda1,2, Beenish Shaikh3
1Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA, 02215, USA.
None:
Health research among forcibly displaced populations presents distinct and multifaceted challenges, including limited healthcare access, heightened exposure to environmental hazards and insufficient research infrastructure. In December 2024, a multidisciplinary workshop convened in Kampala, Uganda, bringing together researchers, healthcare professionals, representatives from humanitarian non-governmental organizations and a global health funding body. The workshop aimed to identify key barriers and co-develop actionable strategies for conducting ethical and equitable research in contexts of displacement, with a specific focus on infectious disease. Across the 20 workshop participants, several critical challenges were identified: the misalignment between global health funding priorities and those of low- and middle-income countries; structural and methodological barriers in research design, such as restricted data access and the perpetuation of epistemic biases; and the ethical complexities of working with vulnerable and highly mobile populations. Discussants emphasized the essential role of sustained community engagement, transparent and bidirectional communication and targeted capacity-building as prerequisites for addressing these barriers. Proposed solutions highlighted the importance of long-term, sustainable research models supported by contextually adaptive methodologies, participatory approaches that centre community co-creation and the strengthening of regional research networks to improve access to funding and resources. These findings provide a basis for developing future frameworks aimed at improving health outcomes among forcibly displaced populations, and underscoring the need for a paradigmatic shift towards more inclusive, context-sensitive health research.
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