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Exploring system drivers of gender inequity in development assistance for health and opportunities for action. | LitMetric

AI Article Synopsis

  • Gender-based bias and discrimination significantly hinder progress toward the Sustainable Development Goals, particularly in development assistance for health (DAH).
  • Despite evidence that addressing gender inequities improves health outcomes, there is a lack of sufficient resources and effective approaches to tackle these issues within DAH.
  • The study identifies six systemic challenges that perpetuate gender inequities, including a lack of input from affected groups, decision-maker blind spots, power imbalances, restrictive donor funding structures, fragmented programming, and data bias.

Article Abstract

Deep-rooted and widespread gender-based bias and discrimination threaten achievement of the Sustainable Development Goals. Despite evidence that addressing gender inequities contributes to better health and development outcomes, the resources for, and effectiveness of, such efforts in development assistance for health (DAH) have been insufficient. This paper explores systemic challenges in DAH that perpetuate or contribute to gender inequities, with a particular focus on the role of external donors and funders. We applied a co-creation system design process to map and analyze interactions between donors and recipient countries, and articulate drivers of gender inequities within the landscape of DAH. We conducted qualitative primary data collection and analysis in 2021 via virtual facilitated discussions and visual mapping exercises among a diverse set of 41 stakeholders, including representatives from donor institutions, country governments, academia, and civil society. Six systemic challenges emerged as perpetuating or contributing to gender inequities in DAH: 1) insufficient input and leadership from groups affected by gender bias and discrimination; 2) decision-maker blind spots inhibit capacity to address gender inequities; 3) imbalanced power dynamics contribute to insufficient resources and attention to gender priorities; 4) donor funding structures limit efforts to effectively address gender inequities; 5) fragmented programming impedes coordinated attention to the root causes of gender inequities; and 6) data bias contributes to insufficient understanding of and attention to gender inequities. Many of the drivers impeding progress on gender equity in DAH are embedded in power dynamics that distance and disempower people affected by gender inequities. Overcoming these dynamics will require more than technical solutions. Groups affected by gender inequities must be centered in leadership and decision-making at micro and macro levels, with practices and structures that enable co-creation and mutual accountability in the design, implementation, and evaluation of health programs.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427755PMC
http://dx.doi.org/10.12688/gatesopenres.13639.2DOI Listing

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