OBJECTIVE: To create and validate a citywide pediatric Asthma Registry to improve the care and outcomes of children and adolescents in Washington, DC through data-driven quality improvement (QI). METHODS: All available electronic health record data from inpatient and outpatient domains of Children's National Hospital were aggregated from an existing enterprise data warehouse. Inclusion criteria included asthma relevant ICD-10 codes over the prior 24 months. Available Asthma Registry measures include patient demographics, ambulatory visits, hospital admissions, persistent asthma diagnoses, and prescription of controller medications. Data capture was validated using US Census data and current asthma prevalence estimate of the Behavioral Risk Factor Surveillance System (BRFSS). RESULTS: The registry identified 15,991 DC children and adolescents with asthma aged 0-17 years, inclusive, at the end of 2020. This was 14.2% higher than the estimate of 14,001 children derived from BRFSS. Characteristics of those in the registry included: mean age of 9.5 (1.4) years, 57.9% male, 72.3% Black, and 66.7% publicly insured. Over the prior 24 months, 30.3% had ≥1 emergency department visit, and 10.5% had ≥1 hospital admission. Controller medications were prescribed for 59.6% of children with persistent asthma. Rates varied by sampled primary care practice sites. CONCLUSIONS: A population-level pediatric asthma registry captures more children and adolescents with asthma in DC then a BRFSS-derived estimate, and provides city-wide measures of asthma-related utilization. The registry allows for stratification by primary care practice locations and asthma characteristics, supporting the design, implementation, and evaluation of QI projects at the practice, health system, and population levels. Supplemental data for this article can be accessed at publisher's website.
OBJECTIVE: To create and validate a citywide pediatric Asthma Registry to improve the care and outcomes of children and adolescents in Washington, DC through data-driven quality improvement (QI). METHODS: All available electronic health record data from inpatient and outpatient domains of Children's National Hospital were aggregated from an existing enterprise data warehouse. Inclusion criteria included asthma relevant ICD-10 codes over the prior 24 months. Available Asthma Registry measures include patient demographics, ambulatory visits, hospital admissions, persistent asthma diagnoses, and prescription of controller medications. Data capture was validated using US Census data and current asthma prevalence estimate of the Behavioral Risk Factor Surveillance System (BRFSS). RESULTS: The registry identified 15,991 DC children and adolescents with asthma aged 0-17 years, inclusive, at the end of 2020. This was 14.2% higher than the estimate of 14,001 children derived from BRFSS. Characteristics of those in the registry included: mean age of 9.5 (1.4) years, 57.9% male, 72.3% Black, and 66.7% publicly insured. Over the prior 24 months, 30.3% had ≥1 emergency department visit, and 10.5% had ≥1 hospital admission. Controller medications were prescribed for 59.6% of children with persistent asthma. Rates varied by sampled primary care practice sites. CONCLUSIONS: A population-level pediatric asthma registry captures more children and adolescents with asthma in DC then a BRFSS-derived estimate, and provides city-wide measures of asthma-related utilization. The registry allows for stratification by primary care practice locations and asthma characteristics, supporting the design, implementation, and evaluation of QI projects at the practice, health system, and population levels. Supplemental data for this article can be accessed at publisher's website.
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Keywords:
disease registry; pediatric asthma; population health; quality improvement