BACKGROUND: As new payment models are developed for chronic diseases such as diabetes, there is a need to understand which patient characteristics impact glycemic control. This study examines the relationship between patient variables and glycemic control, defined as a hemoglobin A1c (A1c) level of <7%, in a cohort of family medicine patients with type 2 diabetes. METHODS: A total of 1,398 medical charts were selected using International Classification of Diseases, Ninth Revision, Clinical Modification codes for diabetes. To gather information not available through chart review, a survey was used to collect data on individual-level characteristics. Information included marital status, education level, income level, insurance status, activity level, receipt of diabetes education, living arrangement, employment status, and annual income. A cross-sectional design was used to obtain, via chart review, data about diabetes outcomes (ie, A1c level, blood pressure, and low-density lipoprotein cholesterol [LDL-C] level). RESULTS: A mailed survey was completed by 669 patients (response rate, 47.9%). Almost half of patients in this sample achieved the goal A1c level, LDL-C level (ie, <100 mg/dL), and/or blood pressure (ie, <130/<80 mm Hg). Medicare insurance (odds ratio [OR], 2.16 [95% confidence interval {CI}, 1.18-3.96]) and female sex (OR, 1.61 [95% CI, 1.01-2.56]) were associated with glycemic control. Other variables, such as annual income, education level, and receipt of diabetes education, that were expected to impact glycemic control were not significantly associated with an A1c level of <7%. LIMITATIONS: The survey response rate was <50%, the study was conducted at a single site, and the chart data were retrospective. CONCLUSIONS: Our findings indicate that Medicare insurance and female sex were associated with glycemic control. Further evaluation is needed to identify determinants that lead to achievement of optimal glycemic control among individuals with type 2 diabetes.
BACKGROUND: As new payment models are developed for chronic diseases such as diabetes, there is a need to understand which patient characteristics impact glycemic control. This study examines the relationship between patient variables and glycemic control, defined as a hemoglobin A1c (A1c) level of <7%, in a cohort of family medicine patients with type 2 diabetes. METHODS: A total of 1,398 medical charts were selected using International Classification of Diseases, Ninth Revision, Clinical Modification codes for diabetes. To gather information not available through chart review, a survey was used to collect data on individual-level characteristics. Information included marital status, education level, income level, insurance status, activity level, receipt of diabetes education, living arrangement, employment status, and annual income. A cross-sectional design was used to obtain, via chart review, data about diabetes outcomes (ie, A1c level, blood pressure, and low-density lipoprotein cholesterol [LDL-C] level). RESULTS: A mailed survey was completed by 669 patients (response rate, 47.9%). Almost half of patients in this sample achieved the goal A1c level, LDL-C level (ie, <100 mg/dL), and/or blood pressure (ie, <130/<80 mm Hg). Medicare insurance (odds ratio [OR], 2.16 [95% confidence interval {CI}, 1.18-3.96]) and female sex (OR, 1.61 [95% CI, 1.01-2.56]) were associated with glycemic control. Other variables, such as annual income, education level, and receipt of diabetes education, that were expected to impact glycemic control were not significantly associated with an A1c level of <7%. LIMITATIONS: The survey response rate was <50%, the study was conducted at a single site, and the chart data were retrospective. CONCLUSIONS: Our findings indicate that Medicare insurance and female sex were associated with glycemic control. Further evaluation is needed to identify determinants that lead to achievement of optimal glycemic control among individuals with type 2 diabetes.
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