Identifying pediatric hypertension in observational data: comparing clinical and claims cohorts in real-world data

Casie E Horgan1, Jillian Burk1, Efe Eworuke2

  • 1Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.

Insights

Pediatric hypertension is under-captured in insurance claims data. Claims-based hypertension may indicate more severe disease, but requires understanding of coding practices for accurate research.

Area of Science:

  • Public Health
  • Pediatric Cardiology
  • Health Informatics

Background:

  • Pediatric hypertension is a growing concern.
  • Accurate identification of pediatric hypertension in real-world data is crucial for research and clinical practice.
  • Existing data sources may not fully capture the prevalence or severity of pediatric hypertension.

Purpose of the Study:

  • To compare clinical and claims-based definitions of pediatric hypertension.
  • To assess the concordance between clinical diagnosis and insurance claims for hypertension in children and adolescents.
  • To evaluate the association between claims-based hypertension and disease severity or mortality.

Main Methods:

  • Retrospective public health surveillance using data from 2006-2016.
  • Utilized the US Food and Drug Administration's Sentinel System with 7 integrated delivery systems.
  • Identified pediatric patients (3-17 years) using clinical and claims-based definitions for hypertension.

Main Results:

  • Out of over 3.7 million pediatric patients, 9% of children and 8.7% of teens met the clinical definition of hypertension.
  • Only 2.2% of clinically hypertensive children and 7.3% of teens had corresponding hypertension claims.
  • Claims-based hypertension was associated with greater disease severity and higher all-cause mortality.

Conclusions:

  • Insurance claims data under-capture pediatric hypertension.
  • Claims-based hypertension may serve as a marker for increased disease severity.
  • Researchers must consider coding practices when using real-world data for pediatric hypertension studies.

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