Bridging diagnostic gaps in anterior ocular inflammatory surface diseases

Area of Science:

• Ophthalmology
• Public Health
• Medical Diagnostics

Background:

• Anterior ocular inflammatory surface diseases (AOISDs), including dry eye disease (DED), allergic conjunctivitis (AC), and infectious conjunctivitis (IC), are prevalent but often underdiagnosed.
• Current diagnostic methods heavily rely on clinical judgment, leading to potential inaccuracies and delayed treatment.

Purpose of the Study:

• To review the current state of AOISD diagnostics.
• To highlight emerging technologies, diagnostic disparities, and implementation challenges in global health systems.

Main Methods:

• Review of current literature on AOISD diagnostics.
• Emphasis on emerging technologies like tear-based biomarkers, AI-assisted imaging, and telemedicine.
• Analysis of barriers to adoption and implementation in diverse healthcare settings.

Main Results:

• Newer diagnostic approaches offer improved precision but face adoption barriers like cost-effectiveness, reimbursement, and primary care integration.
• Diagnostic capacity is limited in low-resource settings due to workforce and equipment shortages.
• Public awareness and patient education impact care-seeking behaviors and treatment adherence.

Conclusions:

• AOISD diagnostics are advancing but face systemic, economic, and infrastructural barriers to accessibility.
• Policy integration, cross-sector collaboration, and context-specific innovation are crucial for progress.
• Strengthening primary care and aligning investments with disease burden are vital for equitable AOISD detection and improved global patient outcomes.