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Reaching Target Communities in a Community Preschool Vision Screening Program.

Richard A Ulangca, Connie J Oh, Chase R Atiga

Journal of Pediatric Ophthalmology and Strabismus

|March 11, 2022

Summary

This study developed a scoring system and used geoinformatics mapping to identify preschools needing vision screenings most. This method efficiently targets resources to underserved communities, improving pediatric vision health outreach.

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Area of Science:

Public Health
Geoinformatics
Pediatric Ophthalmology

Background:

Vision screening is crucial for early detection of pediatric eye conditions.
Identifying underserved populations for vision screening presents logistical challenges.
Existing methods may not efficiently allocate resources to areas of greatest need.

Purpose of the Study:

To develop a method for identifying preschools with the greatest need for vision screening.
To investigate correlations between socioeconomic status, preschool capacity, and screening rates.
To utilize geoinformatics mapping to visualize areas requiring targeted vision screening efforts.

Main Methods:

Collected vision screening, child care facility, and U.S. Census income data.
Utilized ArcGIS software for data consolidation (ZIP code level) and geoinformatics mapping.
Applied Kolmogorov-Smirnov analysis and developed a scoring system for facilities based on socioeconomic status and capacity.

Main Results:

A positive correlation was found between child care facility capacity and median household income (P = .005).
A scoring system prioritized larger facilities in lower-income communities.
Geographic Information System (GIS) software mapped facilities by their cumulative score.

Conclusions:

Under-served communities face challenges in vision screening due to facility limitations.
A scoring system combined with mapping software optimizes resource allocation for vision screening programs.
This approach enhances the efficiency of reaching more children in need of vision screenings.