Developmental-Behavioral Pediatricians' Diagnosis and Coding of Overweight and Obesity in Children with Autism

Morgan Walls1, Carol Curtin2, Sarah Phillips3

  • 1General Academic Pediatrics, Department of Pediatrics, Atrium Health, Charlotte, NC.

Insights

Few children with autism spectrum disorder (ASD) and overweight/obesity received documented weight-related diagnosis codes. Coding was more likely for children with severe obesity, older age, and those on atypical antipsychotics.

Area of Science:

  • Pediatrics
  • Developmental Pediatrics
  • Autism Spectrum Disorder Research

Background:

  • Obesity is prevalent in children with autism spectrum disorder (ASD), posing management challenges.
  • Accurate coding for overweight and obesity is crucial for patient care and research in ASD.

Purpose of the Study:

  • To investigate the coding practices of developmental-behavioral pediatricians (DBPs) for overweight/obesity in children with ASD.
  • To identify patient characteristics associated with the documentation of weight-related diagnosis codes.

Main Methods:

  • Analysis of clinical data from 4542 children (ages 2-19) with ASD across three network sites.
  • Calculation of weight status using BMI z-scores and assessment of weight-related ICD-9 code frequency.
  • Multivariable logistic regression to determine factors associated with weight-related coding.

Main Results:

  • 15.5% overweight, 14.7% obese, 6.3% severely obese. Only 7.5% of these children had documented weight-related codes.
  • Weight-related codes were more frequent in children with obesity/severe obesity and older children.
  • Atypical antipsychotic use was associated with higher odds of weight-related coding; only 4% of all diagnosis codes were weight-related.

Conclusions:

  • Under-documentation of overweight/obesity is common in children with ASD.
  • Factors influencing coding include obesity severity, age, and specific medication use (antipsychotics).
  • Improved diagnostic coding for weight status in ASD is needed for better management and research.
Abstract

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