Using medical billing data to evaluate chronically ill children over time

Area of Science:

• Pediatric Health Services Research
• Health Informatics
• Chronic Disease Epidemiology

Background:

• Accurate identification of chronic conditions in pediatric populations is crucial for effective healthcare management and resource allocation.
• Health plan billing data offers a large-scale, longitudinal source for analyzing disease prevalence and stability over time.
• Clinical Risk Groups (CRGs) provide a framework for stratifying patient complexity and predicting healthcare needs.

Purpose of the Study:

• To evaluate the stability of chronic condition identification among children older than 4 years using health plan billing data.
• To assess the longitudinal changes in chronic condition status within a pediatric cohort over a four-year period.
• To identify patterns of stability and change in chronic conditions, differentiating by severity and type.

Main Methods:

• Utilized health plan billing data for a cohort of 31,055 children continuously enrolled for four years.
• Employed Clinical Risk Groups (CRGs) to categorize and track chronic condition status annually.
• Analyzed the proportion of children identified with chronic conditions at baseline and subsequent years, and tracked changes in status.

Main Results:

• 7.5% of children were identified with a chronic condition in the first year, with an additional 15.4% identified in subsequent years.
• 63.6% of the cohort remained consistently identified as 'healthy' throughout the four-year study period.
• Children with catastrophic health conditions exhibited the most stable identification, whereas those with minor or moderate/dominant major chronic conditions showed less stability. Notably, 73.1% of children with initial chronic conditions improved their status, while 5.7% progressed to more complex conditions.

Conclusions:

• Chronic condition identification in children over 4 years old, as assessed by CRGs in billing data, demonstrates significant variability.
• The stability of chronic condition status differs markedly by condition severity, with less severe conditions being more dynamic.
• A substantial proportion of children initially identified with chronic conditions experience improvement, highlighting the need for dynamic monitoring and reassessment.