Diagnostic delay in diabetes reflects structural health system inequities across urban and rural settings

Abstract

A substantial proportion of individuals living with diabetes worldwide remain undiagnosed until complications emerge, contributing to preventable morbidity, premature mortality, and escalating health system costs. Despite expanded screening recommendations, rapid telemedicine growth, and increasing adoption of artificial intelligence–assisted risk stratification, diagnostic delay persists across both high-resource urban settings and underserved rural regions. The existing literature predominantly frames delayed diagnosis as a clinical implementation gap or a limitation in individual health-seeking behavior. This Perspective argues that such interpretations are incomplete. We propose that delayed diabetes diagnosis should be reconceptualized as a structural health systems equity indicator reflecting misalignment across infrastructure density, workflow integration, workforce capacity, socioeconomic accessibility, and digital governance maturity. To operationalize this reframing, we introduce a five-domain Diagnostic Equity Framework and propose measurable constructs, including the Diagnostic Equity Gap and the Time-to-Confirmation Index, to enable population-level monitoring of inequities in early detection. Applying this framework through an urban–rural lens demonstrates that digital expansion increases technical screening capacity but does not ensure equitable diagnostic confirmation in the absence of structural alignment. Improving early diabetes detection, therefore, requires coordinated reform in governance, financing, workforce planning, and digital integration. Recognizing diagnostic delay as a systems-level equity signal strengthens accountability and supports more coherent public health strategies for chronic disease detection.