title: Demographic differences in the treatment and control of glucose in type 2 diabetic patients: implications for health care practice.
abstract: OBJECTIVE
  Identifying modifiable covariables that reduce demographic disparities in controlling type 2 diabetes could inform efforts to improve health equity.
  
  
  METHODS
  This retrospective study utilized electronic health record data on 22,285 adults with type 2 diabetes seen at 110 outpatient clinics in the Southeast U.S. from 2004-2008. Demographic differences in diabetes control and modifiable covariables which reduce those disparities were quantified using descriptive and logistic regression analysis.
  
  
  RESULTS
  Patients were 55.8 +/- 14.6 (SD) years old, 57.5% women, 61.0% white: 39.0% black and had baseline body mass index 34. +/- .3 kg/ m2 and HbA1c 7.61 +/- 1.9%. The percentage with HbAlc <7% was higher in Whites than blacks (55.6% vs. 44.7%, P < .0001) and rose with age in all patients from 45.3% at <50, to 50.0% at 50-64, and 59.6% at > or =65 years, P < .001. white vs. black race (odds ratio [OR] 1.59, 95% confidence interval [CI] 1.51-1.68) and age/ 10 years (OR 1.20/10 years, 95% CI 1.17-1.22) were predictors of HbAlc <7% in univariable logistic regression. In multivariable analysis, three modifiable covariables (initial HbAlc, therapeutic inertia, visit frequency) accounted for 47.9% of variance in diabetes control. When accounting for these modifiable covariables, the independent impact of race/ethnicity (OR 1.21, 95% CI 1.13-1.30) and age (OR 1.13, 95% Cl 1.11-1.16) on HbA1c control declined.
  
  
  CONCLUSIONS
  Race and age-related difference in diabetes control declined significantly when modifiable covariates were considered. Greater attention to early diagnosis and treatment, ensuring regular healthcare visits and overcoming therapeutic inertia could improve diabetes control and health equity.
authors: Department of Medicine, Division of General Internal Medicine, Medical University of South Carolina, Charleston 29425, USA. eganbm@musc.edu
authors: Brent M
authors: BM
authors: Egan
authors: Stephanie R
authors: SR
authors: Shaftman
authors: C Shaun
authors: CS
authors: Wagner
authors: Dipankar
authors: D
authors: Bandyopadhyay
authors: Keith A
authors: KA
authors: Szymanski
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D044383:Black People / Q000706:statistics & numerical data*; D001786:Blood Glucose / Q000032:analysis*; D015992:Body Mass Index; D016009:Chi-Square Distribution; D015897:Comorbidity; D003710:Demography; D003924:Diabetes Mellitus, Type 2 / Q000097:blood* / Q000453:epidemiology / Q000208:ethnology*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D012307:Risk Factors; D015144:Southeastern United States / Q000453:epidemiology; D044465:White People / Q000706:statistics & numerical data*; D001741:Black or African American
chemical_list: D001786:Blood Glucose