Validation of a Pediatric Primary Care Network in a US Metropolitan Region as a Community-Based Infectious Disease...

Area of Science:

• Public Health
• Epidemiology
• Health Services Research

Background:

• Primary care networks are increasingly used for disease surveillance.
• Assessing the representativeness of network populations is crucial for accurate disease rate estimation.
• Geographic Information System (GIS) methods can analyze population characteristics across different areas.

Purpose of the Study:

• To determine the suitability of a primary care network for estimating population-based disease rates.
• To compare sociodemographic and clinical characteristics of children enrolled versus not enrolled in the network.
• To validate the network's surveillance system using invasive pneumococcal disease (IPD) rates.

Main Methods:

• Cross-sectional study design.
• Utilized Geographic Information System (GIS) methods to analyze spatial variations in population characteristics.
• Compared invasive pneumococcal disease rates between network-enrolled and non-enrolled children using population-based surveillance data.

Main Results:

• Network-enrolled children were more likely to be female, Black, non-Hispanic, younger, and Medicaid recipients.
• Significant demographic and clinical differences between network and non-network children varied across neighborhoods.
• Invasive pneumococcal disease rates did not significantly differ between the two groups.

Conclusions:

• Despite demographic and clinical differences, the primary care network may provide valid disease estimates for the community.
• Network surveillance systems can potentially be validated for population-based disease rate estimation.
• The study highlights the importance of considering neighborhood-level variations in health disparities.