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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.
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.
Abstract:
Many studies rely on the International Classification of Diseases, 9th or 10th Revision, Clinical Modification codes to define obesity in electronic health records data. While prior studies found misclassification and low sensitivity of codes for pediatric obesity, it remains unclear whether this misclassification is random and what are the implications of combining different code types to define obesity. We assessed prevalence, sensitivity, and specificity of obesity codes among 7.4 million children aged 2-19 years over 2014-2021. Among those with obesity in 2021, we estimated the probability of receiving any code or a specific code type by patient characteristics. Obesity code utilization increased in prevalence from 3.9% in 2014 to 9.8% in 2021; prevalence of obesity based on BMI increased from 17.4% to 20.5%. Code sensitivity increased from 19.8% to 40.8%. Among children with obesity in 2021, those with severe obesity (reference: no severe obesity) and chronic disease (reference: no chronic disease) were more likely to get a code, and the highest likelihood was associated with obesity diagnosis codes (vs. status codes). Despite increases, obesity code utilization remained low. Obesity code misclassification is not random and certain child characteristics (e.g., severe obesity or chronic disease) are associated with a higher probability of getting a code. There are also significant differences by code type; thus, caution should be taken before combining obesity codes as a proxy for obesity status, especially in longitudinal analyses. More universal documentation of obesity may improve the quality of care and the use of these data for evaluation and research purposes.
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