ArticlePopulation health management2018
Use of International Classification of Diseases, Ninth Revision Codes for Obesity: Trends in the United States from an Electronic Health Record-Derived Database.
Article in Population health management, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Enablers and barriers to implementing obesity assessments in clinical practice: a rapid mixed-methods systematic review.BMJ open · 2022Pooled it
- Prevalence of Obesity and Related Conditions and GLP-1 Use in Medicare Fee-for-Service Beneficiaries.Diabetes, obesity & metabolism · 2026Article
- Screening, Diagnosis, Evaluation, and Staging of Obesity in Adults: Standards of Care in Overweight and Obesity-2026.BMJ open diabetes research & care · 2026Review
- Incidence of non-cardia gastric cancer among commercially-insured individuals aged 18-64 with chronic atrophic gastritis.PloS one · 2025Article
- The impact of surgical weight loss procedures on the risk of metachronous colorectal neoplasia: the differential effect of surgery type, sex, and anatomic location.Journal of the National Cancer Institute. Monographs · 2023Article
- Cardiovascular Risk and Diseases in Patients With and Without Leptin-Melanocortin Pathway Variants.Mayo Clinic proceedings · 2023Article
- Correlates of Coronavirus Disease 2019 Inpatient Mortality at a Southern California Community Hospital With a Predominantly Hispanic/Latino Adult Population.Open forum infectious diseases · 2023Article
- Article
- Overweight and Obesity Management for Primary Care Clinicians: Executive Summary.Clinical diabetes : a publication of the American Diabetes Association · 2022Article
- Assessment of Common Comorbidity Phenotypes Among Older Adults With Knee Osteoarthritis to Inform Integrated Care Models.Mayo Clinic proceedings. Innovations, quality & outcomes · 2021Article
- Detecting non-alcoholic fatty liver disease and risk factors in health databases: accuracy and limitations of the ICD-10-AM.BMJ open gastroenterology · 2021Article
- Exploring the Impact of Obesity on Health Care Resources and Coding in the Acute Hospital Setting: A Feasibility Study.Healthcare (Basel, Switzerland) · 2020Article
- Defining maternal obesity in studies of birth outcomes: Comparing ICD-9 codes at delivery and measures on the birth certificate.Paediatric and perinatal epidemiology · 2020Article
- Association between shared medical appointments and weight loss outcomes and anti-obesity medication use in patients with obesity.Obesity science & practice · 2020Article
- The two-year incidence of hip osteoarthritis after arthroscopic hip surgery for femoroacetabular impingement syndrome.BMC musculoskeletal disorders · 2019Observational
- Assessing the Impact of Body Mass Index Information on the Performance of Risk Adjustment Models in Predicting Health Care Costs and Utilization.Medical care · 2018Article
- Risk of Nephrolithiasis in Patients With Sleep Apnea: A Population-Based Cohort Study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018Article
- Treatment patterns and clinical characteristics of patients with type 2 diabetes mellitus according to body mass index: findings from an electronic medical records database.BMJ open diabetes research & care · 2017Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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/m KEY
findingsUS 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.
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