Use ofInternational Classification of Diseases, Ninth RevisionCodes for Obesity: Trends in the United States from an Electronic Health Record-Derived Database
| Autor: | John McAna, Ye Tian, B. Gabriel Smolarz, Michelle Mocarski, Albert G. Crawford |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Adult
Male Ninth Databases Factual Leadership and Management prevalence Population 030209 endocrinology & metabolism Overweight computer.software_genre Young Adult 03 medical and health sciences 0302 clinical medicine International Classification of Diseases Health care medicine Humans Obesity 030212 general & internal medicine Risk factor Young adult education Aged education.field_of_study Database business.industry Health Policy Clinical Coding Public Health Environmental and Occupational Health nutritional and metabolic diseases Original Articles Middle Aged medicine.disease United States obesity coding electronic health records Female medicine.symptom business computer Body mass index |
| Zdroj: | Population Health Management |
| ISSN: | 1942-7905 1942-7891 |
| Popis: | Obesity is a potentially modifiable risk factor for many diseases, and a better understanding of its impact on health care utilization, costs, and medical outcomes is needed. The ability to accurately evaluate obesity outcomes depends on a correct identification of the population with obesity. The primary objective of this study was to determine the prevalence and accuracy of International Classification of Diseases, Ninth Revision (ICD-9) coding for overweight and obesity within a US primary care electronic health record (EHR) database compared against actual body mass index (BMI) values from recorded clinical patient data; characteristics of patients with obesity who did or did not receive ICD-9 codes for overweight/obesity also were evaluated. The study sample included 5,512,285 patients in the database with any BMI value recorded between January 1, 2014, and June 30, 2014. Based on BMI, 74.6% of patients were categorized as being overweight or obese, but only 15.1% of patients had relevant ICD-9 codes. ICD-9 coding prevalence increased with increasing BMI category. Among patients with obesity (BMI ≥30 kg/m2), those coded for obesity were younger, more often female, and had a greater comorbidity burden than those not coded; hypertension, dyslipidemia, type 2 diabetes mellitus, and gastroesophageal reflux disease were the most common comorbidities. Key findings: US outpatients with overweight or obesity are not being reliably coded, making ICD-9 codes undependable sources for determining obesity prevalence and outcomes. BMI data available within EHR databases offer a more accurate and objective means of classifying overweight/obese status. |
| Databáze: | OpenAIRE |
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