title: Use of a uniform treatment algorithm abolishes racial disparities in glycemic control.
abstract: The purpose of this study is to compare glycemic control between blacks and whites in a setting where patient and provider behavior is assessed, and where a uniform treatment algorithm is used to guide care.
  
  
  
  This observational cohort study was conducted in 3542 patients (3324 blacks, 218 whites) with type 2 diabetes with first and 1-year follow-up visits to a municipal diabetes clinic; a subset had 2-year follow-up. Patient adherence and provider management were determined. The primary endpoint was A1c.
  
  
  
  At presentation, A1c was higher in blacks than whites (8.9% vs 8.3%; P < .001), even after adjusting for demographic and clinical characteristics. During 1 year of follow-up, patient adherence to scheduled visits and medications was comparable in both groups, and providers intensified medications with comparable frequency and amount. After 1 year, A1c differences decreased but remained significant (7.7% vs 7.3%; P = .029), even in multivariable analysis (P = .003). However, after 2 years, A1c differences were no longer observed by univariate (7.6% vs 7.5%; P = .51) or multi-variable analysis (P = .18).
  
  
  
  Blacks have higher A1c than whites at presentation, but differences narrow after 1 year and disappear after 2 years of care in a setting where patient and provider behavior are comparable and that emphasizes uniform intensification of therapy. Presumably, racial disparities at presentation reflected prior inequalities in management. Use of uniform care algorithms nationwide should help to reduce disparities in diabetes outcomes.
authors.affiliation: The Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia (Dr Rhee, Dr Ziemer, Ms Caudle, Dr Phillips)
authors.forename: Mary K
authors.initials: MK
authors.lastname: Rhee
authors.affiliation: The Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia (Dr Rhee, Dr Ziemer, Ms Caudle, Dr Phillips)
authors.forename: David C
authors.initials: DC
authors.lastname: Ziemer
authors.affiliation: The Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia (Dr Rhee, Dr Ziemer, Ms Caudle, Dr Phillips)
authors.forename: Jane
authors.initials: J
authors.lastname: Caudle
authors.affiliation: The Christiana Care Center for Outcomes Research, Newark, Deleware (Dr Kolm)
authors.forename: Paul
authors.initials: P
authors.lastname: Kolm
authors.affiliation: The Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia (Dr Rhee, Dr Ziemer, Ms Caudle, Dr Phillips)
authors.forename: Lawrence S
authors.initials: LS
authors.lastname: Phillips
mesh_terms: D000465:Algorithms; D044383:Black People; D001786:Blood Glucose / Q000032:analysis*; D015331:Cohort Studies; D003924:Diabetes Mellitus, Type 2 / Q000097:blood*; D005260:Female; D005500:Follow-Up Studies; D006442:Glycated Hemoglobin / Q000032:analysis*; D006801:Humans; D008297:Male; D008875:Middle Aged; D010342:Patient Acceptance of Health Care; D011287:Prejudice; D044465:White People
chemical_list: D001786:Blood Glucose; D006442:Glycated Hemoglobin