Using administrative data to understand the geography of case ascertainment

Area of Science:

• Environmental Epidemiology
• Pediatric Health Research
• Geographic Information Systems (GIS) in Public Health

Background:

• Administrative health data are crucial for public health surveillance.
• Childhood asthma presents significant public health challenges.
• Variability in case definitions can impact epidemiological findings.

Purpose of the Study:

• To assess the geographic variability of childhood asthma clusters identified using different case definitions.
• To determine if various case ascertainment algorithms from administrative health data identify consistent geographic patterns.
• To evaluate the influence of data sources on asthma cluster identification in Alberta, Canada.

Main Methods:

• Utilized a closed cohort of children born in 1988 in Alberta, Canada.
• Employed a spatial scan statistic to detect geographic clusters of childhood asthma.
• Compared asthma clusters derived from multiple case definitions and administrative data sources (medical claims, hospitalization, emergency departments).

Main Results:

• Geographic patterns of childhood asthma clusters were largely consistent across different case definitions and data sources.
• Asthma clusters identified using medical claims data showed similar spatial distribution to those from hospitalization and emergency department data.
• The choice of case ascertainment algorithm had minimal impact on the identified geographic clustering of childhood asthma.

Conclusions:

• The geographic distribution of childhood asthma clusters in Alberta is robust to variations in case definitions and data sources.
• While clustering patterns are stable, precise prevalence and incidence estimates necessitate careful validation with multiple data sources.
• Findings support the use of administrative health data for geographic asthma surveillance, with a caveat for accurate prevalence estimation.