Accuracy of Administrative Coding for Type 2 Diabetes in Children, Adolescents, and Young Adults
Response to Rhodes et al.
- Eric L. Ding, SCD123,
- Yiqing Song, MD, SCD1,
- JoAnn E. Manson, MD, DRPH12,
- Aruna D. Pradhan, MD, MPH1,
- Julie E. Buring, SCD124 and
- Simin Liu, MD, SCD1256
- 1Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- 2Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts
- 3Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
- 4Department of Ambulatory Care and Prevention, Harvard Medical School, Boston, Massachusetts
- 5Department of Epidemiology, University of California, Los Angeles, School of Public Health, Los Angeles, California
- 6Department of Medicine, University of California, Los Angeles, David Geffen School of Medicine, Los Angeles, California
- Address correspondence to Simin Liu, MD, ScD, MPH, Program on Genomics and Nutrition, Department of Epidemiology, UCLA School of Public Health, Medicine, UCLA David Geffen School of Medicine, CHS 73-265 Box 951772, 650 Charles E. Young Drive South, Los Angeles, CA 90095-1772. E-mail: siminliu{at}ucla.edu
In a recent study, Rhodes et al. (1) questioned the accuracy of administrative coding for type 2 diabetes in children and young adults, noting a very low positive predictive value (PPV) of 16.6%. The article also highlighted the importance of adopting standardized and validated diagnostic protocols in epidemiologic studies.
Using diagnostic criteria from the American Diabetes Association (ADA) (2), we assessed the validity of self-reported diabetes diagnosis in a cohort of 39,876 women aged ≥45 years who were without heart disease, stroke, or cancer at …
