Who Gets a Code for Obesity? Reliability, Use, and Implications of Combining International Classification of

Lyudmyla Kompaniyets1, Samantha Pierce1, Brook Belay1

  • 1Division of Nutrition, Physical Activity and Obesity, National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA.

Childhood Obesity (Print)
|November 4, 2024
PubMed

Insights

Obesity coding in electronic health records is not random and often misses cases, especially in children with severe obesity or chronic conditions. Improved documentation is needed for accurate research and care.

Area of Science:

  • Pediatric Health
  • Health Informatics
  • Epidemiology

Background:

  • International Classification of Diseases (ICD) codes are widely used to identify pediatric obesity in electronic health records (EHRs).
  • Previous research indicates significant misclassification and low sensitivity of these codes for pediatric obesity.
  • The randomness of misclassification and the impact of combining different code types remain unclear.

Purpose of the Study:

  • To assess the prevalence, sensitivity, and specificity of obesity codes in a large pediatric population.
  • To investigate patient characteristics associated with receiving obesity codes.
  • To evaluate the implications of using different obesity code types.

Main Methods:

  • Analysis of 7.4 million children aged 2-19 years from 2014-2021.
  • Estimation of obesity code prevalence and sensitivity over time.
  • Logistic regression to determine factors influencing code assignment based on patient characteristics and code type.

Main Results:

  • Obesity code prevalence increased from 3.9% to 9.8% (2014-2021), while BMI-defined obesity prevalence rose from 17.4% to 20.5%.
  • Code sensitivity improved from 19.8% to 40.8% but remained low.
  • Children with severe obesity or chronic diseases were more likely to receive a code, particularly diagnosis codes over status codes.

Conclusions:

  • Obesity code misclassification is non-random, influenced by patient factors like disease severity.
  • Significant differences exist between obesity code types, cautioning against combining them for longitudinal analysis.
  • Enhanced and standardized obesity documentation is crucial for improving pediatric care quality and data utility in research.

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