Patient characteristics correlated with quality indicator outcomes in diabetes care.

Background: Quality indicators were adopted to compare quality of care across health systems.

Aim: To evaluate whether patient characteristics influence primary care physicians' diabetes quality indicators.

Design Of Study: Retrospective cohort study.

Setting: Primary care setting.

Method: The study was conducted in the Central District of Clalit Health Service in Israel. The five measures of diabetes follow-up were: the percentage of patients with diabetes for whom glycosylated haemoglobin (HbA(1c)), microalbumin, low-density lipoprotein (LDL)-cholesterol, and blood pressure were measured at least once, and the percentage of patients who were seen by an ophthalmologist, during 2005. Three outcome measures were chosen: the percentage of patients with diabetes and HbA(1c) <7 mg%, the percentage of patients with diabetes and blood pressure <130/80 mmHg, and the percentage of patients with diabetes and LDL-cholesterol <100 mg/dl in 2005. Sociodemographic information was retrieved about all the physicians' patients with diabetes.

Results: One-hundred and seventy primary care physicians took care of 18 316 patients with diabetes. The average number of patients with diabetes per physician was 107 (range 10-203). A lower quality indicator score for HbA(1c) <7 mg% was correlated with a higher percentage of patients of low socioeconomic status (P<0.001) and new immigrants (P = 0.002), and correlated with borderline significance with higher mean patients' body mass index (P = 0.024); lower quality indicator score for blood pressure <130/80 mmHg was related to higher patients' age (P = 0.006). None of the diabetes follow-up measures were related to patients' characteristics.

Conclusion: Achieving good glycaemic control is dependent on patient characteristics. New immigrants, patients of low socioeconomic status, and older patients need special attention to avoid disparities.