Health equity remains an unfulfilled objective across healthcare systems globally, with conventional facility-based health information systems structurally incapable of measuring health equity in communities with low healthcare utilisation rates where need is paradoxically greatest. This paper proposes a comprehensive framework for data-driven health equity analytics for health needs assessment in underserved communities, drawing on implementation experience across 14 community health programmes in Nigeria Federal Capital Territory. The framework integrates a Python-based mobile survey data collection architecture for low-connectivity environments, an R-based design-based statistical analysis pipeline, a Power BI visualisation layer serving multiple stakeholder audiences, and a community data sovereignty governance structure. Applied across 3,847 household assessments over four survey rounds, the framework identified significant healthcare access disparities. Transferability to NHS Integrated Care System place-based health planning is discussed with a healthcare policy framework comparison table.
Atakpa et al. (Mon,) studied this question.
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