Submission ID 130374
| Issue/Objective | Global health inequities remain a defining challenge of the 21st century, driven by an increasingly fragmented global landscape characterized by political instability, economic disparities, climate change, and emerging health threats. These inequities are deeply rooted in structural weaknesses across governance systems, financing mechanisms, and health system design, resulting in unequal access to quality healthcare. Despite significant advances in biomedical research, digital health, and technological innovation, their benefits are unevenly distributed. Marginalized populations particularly in low- and middle-income countries continue to face systemic barriers, including exclusion, misinformation, fragile institutions, and imbalanced power dynamics. Furthermore, a persistent gap exists between evidence generation and its translation into real-world practice, limiting the effectiveness of global health interventions. |
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| Methodology/Approach | The study is situated within low- and middle-income countries (LMICs), with a primary focus on Sub-Saharan Africa, particularly Nigeria. These settings are characterized by resource-constrained health systems, high disease burden, and persistent inequities in healthcare access and outcomes. The context provides a relevant environment for examining the interaction between governance structures, community engagement, and emerging digital health technologies in addressing health disparities. |
| Results | The study highlights that aligning local leadership with technology-enabled systems significantly improves healthcare access, strengthens trust in public health institutions, and enhances responsiveness in both routine and crisis settings. Findings suggest that community-driven approaches are critical for ensuring that health interventions are context-specific, culturally appropriate, and sustainable. Evidence from Sub-Saharan Africa, particularly Nigeria, demonstrates that integrating artificial intelligence (AI)-supported surveillance and decision-making tools into existing health systems can improve data accuracy, support timely interventions, and reduce disparities in service delivery and health outcomes. However, the effectiveness of these technologies is highly dependent on strong governance frameworks, ethical oversight, and inclusive implementation strategies. Key lessons learned indicate that addressing upstream determinants such as governance, financing, and power dynamics is essential for achieving meaningful and sustained progress in global health equity. In addition, fostering trust through community engagement and combating misinformation are critical to improving health system uptake and effectiveness. The study further underscores the importance of bridging the gap between evidence and implementation by promoting accountability, strengthening policy execution, and ensuring alignment between global strategies and local realities. Ultimately, integrated, community-centered, and technology-supported approaches provide a practical pathway for translating knowledge into equitable health impact. |
| Discussion/Conclusion | This study demonstrates that bridging the gap between evidence and implementation requires integrated approaches that combine community-driven strategies with technology-enabled systems. It highlights the importance of embedding governance, accountability, and local context into the design and delivery of health interventions. The findings reinforce the need for interdisciplinary frameworks that link policy, community engagement, and digital innovation to achieve equitable and sustainable health outcomes. Policy Impact The study underscores the critical role of strong governance, effective policy execution, and inclusive decision-making in advancing global health equity. Policymakers must prioritize accountability mechanisms, invest in health system strengthening, and ensure ethical and context-sensitive deployment of emerging technologies such as artificial intelligence (AI). In addition, aligning global health agendas with local realities and empowering community leadership are essential for improving trust, uptake, and long-term system performance. Scaling Options The proposed approach is scalable across low- and middle-income settings due to its flexibility and adaptability to local contexts. Scaling can be achieved through: • Integration of AI-supported tools into existing primary healthcare systems • Strengthening partnerships between governments, communities, and private sector actors • Capacity building for local health workers and policymakers • Adoption of standardized frameworks for community engagement and digital health governance Regional adaptation, particularly across Sub-Saharan Africa, offers opportunities to replicate successful models while tailoring interventions to specific socio-political and cultural environments. |
| Presenters and Affiliations | David Odawn Osun State University, Osogbo, Osun state David Odawn Osun State University, Osogbo, Osun state |
